From 53cb111a2844df45706974ca39e35e6d150628e5 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 22 Feb 2021 13:48:48 +0800 Subject: [PATCH 01/21] Update DynUNet Due to the forward function's changes of DynUNet, this commit update the corresponding places, as well as the loss calculation for trainer. In addition, the DiceCEloss has been implemented in MONAI, thus the self-designed loss function part has also been updated. Signed-off-by: Yiheng Wang --- modules/dynunet_tutorial.ipynb | 158 +++++---------------------------- 1 file changed, 23 insertions(+), 135 deletions(-) diff --git a/modules/dynunet_tutorial.ipynb b/modules/dynunet_tutorial.ipynb index 2a94d696c6..37bca33b09 100644 --- a/modules/dynunet_tutorial.ipynb +++ b/modules/dynunet_tutorial.ipynb @@ -53,38 +53,9 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MONAI version: 0.4.0+54.gf9b47f0\n", - "Numpy version: 1.19.1\n", - "Pytorch version: 1.7.0a0+7036e91\n", - "MONAI flags: HAS_EXT = False, USE_COMPILED = False\n", - "MONAI rev id: f9b47f08691f53d9704dd62b01dbb77f5cae0ed6\n", - "\n", - "Optional dependencies:\n", - "Pytorch Ignite version: 0.4.2\n", - "Nibabel version: 3.2.1\n", - "scikit-image version: 0.15.0\n", - "Pillow version: 8.0.1\n", - "Tensorboard version: 1.15.0+nv\n", - "gdown version: 3.12.2\n", - "TorchVision version: 0.8.0a0\n", - "ITK version: 5.1.2\n", - "tqdm version: 4.54.1\n", - "lmdb version: 1.0.0\n", - "psutil version: 5.7.2\n", - "\n", - "For details about installing the optional dependencies, please visit:\n", - " https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n", - "\n" - ] - } - ], + "outputs": [], "source": [ "# Copyright 2020 MONAI Consortium\n", "# Licensed under the Apache License, Version 2.0 (the \"License\");\n", @@ -119,7 +90,7 @@ " ValidationHandler,\n", ")\n", "from monai.inferers import SimpleInferer, SlidingWindowInferer\n", - "from monai.losses import DiceLoss\n", + "from monai.losses import DiceCELoss\n", "from monai.networks.nets import DynUNet\n", "from monai.transforms import (\n", " AddChanneld,\n", @@ -159,7 +130,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -218,17 +189,9 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/workspace/data/medical\n" - ] - } - ], + "outputs": [], "source": [ "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n", "root_dir = tempfile.mkdtemp() if directory is None else directory\n", @@ -244,7 +207,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -322,18 +285,9 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "100%|██████████| 208/208 [00:02<00:00, 95.23it/s] \n", - "100%|██████████| 52/52 [00:00<00:00, 85.85it/s]\n" - ] - } - ], + "outputs": [], "source": [ "train_ds = DecathlonDataset(\n", " root_dir=root_dir,\n", @@ -365,34 +319,9 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "for i in range(2):\n", " image, label = val_ds[i][\"image\"], val_ds[i][\"label\"]\n", @@ -406,44 +335,6 @@ " plt.show()" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Customize loss function\n", - "Here we combine Dice loss and Cross Entropy loss." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "class CrossEntropyLoss(nn.Module):\n", - " def __init__(self):\n", - " super().__init__()\n", - " self.loss = nn.CrossEntropyLoss()\n", - "\n", - " def forward(self, y_pred, y_true):\n", - " # CrossEntropyLoss target needs to have shape (B, D, H, W)\n", - " # Target from pipeline has shape (B, 1, D, H, W)\n", - " y_true = torch.squeeze(y_true, dim=1).long()\n", - " return self.loss(y_pred, y_true)\n", - "\n", - "\n", - "class DiceCELoss(nn.Module):\n", - " def __init__(self):\n", - " super().__init__()\n", - " self.dice = DiceLoss(to_onehot_y=True, softmax=True)\n", - " self.cross_entropy = CrossEntropyLoss()\n", - "\n", - " def forward(self, y_pred, y_true):\n", - " dice = self.dice(y_pred, y_true)\n", - " cross_entropy = self.cross_entropy(y_pred, y_true)\n", - " return dice + cross_entropy" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -453,12 +344,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ "device = torch.device(\"cuda:0\")\n", - "loss = DiceCELoss()\n", + "loss = DiceCELoss(to_onehot_y=True, softmax=True, batch=False)\n", "learning_rate = 0.01\n", "max_epochs = 200\n", "\n", @@ -491,6 +382,7 @@ " strides=strides,\n", " upsample_kernel_size=strides[1:],\n", " norm_name=\"instance\",\n", + " deep_supervision=True,\n", " deep_supr_num=2,\n", " res_block=False,\n", ").to(device)\n", @@ -511,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -594,7 +486,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -616,12 +508,12 @@ " )\n", "\n", " def _compute_loss(preds, label):\n", - " labels = [label] + [\n", - " interpolate(label, pred.shape[2:]) for pred in preds[1:]\n", - " ]\n", + " preds = torch.unbind(preds, dim=1)\n", " return sum(\n", - " 0.5 ** i * self.loss_function(p, l)\n", - " for i, (p, l) in enumerate(zip(preds, labels))\n", + " [\n", + " 0.5 ** i * self.loss_function.forward(p, label)\n", + " for i, p in enumerate(preds)\n", + " ]\n", " )\n", "\n", " self.network.train()\n", @@ -629,17 +521,13 @@ " if self.amp and self.scaler is not None:\n", " with torch.cuda.amp.autocast():\n", " predictions = self.inferer(inputs, self.network)\n", - " loss = _compute_loss(\n", - " [predictions] + self.network.get_feature_maps(), targets\n", - " )\n", + " loss = _compute_loss(predictions, targets)\n", " self.scaler.scale(loss).backward()\n", " self.scaler.step(self.optimizer)\n", " self.scaler.update()\n", " else:\n", " predictions = self.inferer(inputs, self.network)\n", - " loss = _compute_loss(\n", - " [predictions] + self.network.get_feature_maps(), targets\n", - " ).mean()\n", + " loss = _compute_loss(predictions, targets).mean()\n", " loss.backward()\n", " self.optimizer.step()\n", " return {\n", From d7bff9ccb0e0309eb5a4e4a28014609abb46345b Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 22 Feb 2021 13:56:29 +0800 Subject: [PATCH 02/21] Remove unused libraries Signed-off-by: Yiheng Wang --- modules/dynunet_tutorial.ipynb | 2 -- 1 file changed, 2 deletions(-) diff --git a/modules/dynunet_tutorial.ipynb b/modules/dynunet_tutorial.ipynb index 37bca33b09..ae6dfa3895 100644 --- a/modules/dynunet_tutorial.ipynb +++ b/modules/dynunet_tutorial.ipynb @@ -77,7 +77,6 @@ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import torch\n", - "import torch.nn as nn\n", "from monai.apps import DecathlonDataset\n", "from monai.config import print_config\n", "from monai.data import DataLoader\n", @@ -111,7 +110,6 @@ " SpatialPadd,\n", " ToTensord,\n", ")\n", - "from torch.nn.functional import interpolate\n", "\n", "print_config()" ] From bcb738ec3b8148915d85f015452d444fa4e70ca7 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 22 Feb 2021 14:56:59 +0800 Subject: [PATCH 03/21] Add some cell outputs for reference Signed-off-by: Yiheng Wang --- modules/dynunet_tutorial.ipynb | 91 ++++++++++++++++++++++++++++++---- 1 file changed, 81 insertions(+), 10 deletions(-) diff --git a/modules/dynunet_tutorial.ipynb b/modules/dynunet_tutorial.ipynb index ae6dfa3895..2f91672fea 100644 --- a/modules/dynunet_tutorial.ipynb +++ b/modules/dynunet_tutorial.ipynb @@ -53,9 +53,38 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "MONAI version: 0+untagged.1.g19a9f05.dirty\n", + "Numpy version: 1.19.1\n", + "Pytorch version: 1.7.0a0+7036e91\n", + "MONAI flags: HAS_EXT = True, USE_COMPILED = False\n", + "MONAI rev id: 19a9f0554a9d641716162097d02ec8944c67e0a1\n", + "\n", + "Optional dependencies:\n", + "Pytorch Ignite version: 0.4.2\n", + "Nibabel version: 3.2.1\n", + "scikit-image version: 0.15.0\n", + "Pillow version: 8.1.0\n", + "Tensorboard version: 1.15.0+nv\n", + "gdown version: 3.12.2\n", + "TorchVision version: 0.8.0a0\n", + "ITK version: 5.1.2\n", + "tqdm version: 4.56.0\n", + "lmdb version: 1.0.0\n", + "psutil version: 5.7.2\n", + "\n", + "For details about installing the optional dependencies, please visit:\n", + " https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n", + "\n" + ] + } + ], "source": [ "# Copyright 2020 MONAI Consortium\n", "# Licensed under the Apache License, Version 2.0 (the \"License\");\n", @@ -128,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -187,9 +216,17 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "/workspace/data/medical/\n" + ] + } + ], "source": [ "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n", "root_dir = tempfile.mkdtemp() if directory is None else directory\n", @@ -205,7 +242,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -283,9 +320,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Loading dataset: 100%|██████████| 208/208 [00:01<00:00, 146.24it/s]\n", + "Loading dataset: 100%|██████████| 52/52 [00:00<00:00, 144.76it/s]\n" + ] + } + ], "source": [ "train_ds = DecathlonDataset(\n", " root_dir=root_dir,\n", @@ -317,9 +363,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], "source": [ "for i in range(2):\n", " image, label = val_ds[i][\"image\"], val_ds[i][\"label\"]\n", From 60ea525aed950c022d793b5c49af4929905b7a3a Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Fri, 26 Feb 2021 17:52:34 +0800 Subject: [PATCH 04/21] Add py based dynunet pipeline Signed-off-by: Yiheng Wang --- modules/dynunet_pipeline/README.md | 22 ++ .../dynunet_pipeline/commands/run_task04.sh | 12 + modules/dynunet_pipeline/create_datalist.py | 91 +++++ modules/dynunet_pipeline/create_dataset.py | 73 ++++ modules/dynunet_pipeline/create_network.py | 55 +++ modules/dynunet_pipeline/evaluator.py | 177 +++++++++ modules/dynunet_pipeline/inferrer.py | 192 ++++++++++ modules/dynunet_pipeline/task_params.py | 90 +++++ modules/dynunet_pipeline/train.py | 248 +++++++++++++ modules/dynunet_pipeline/trainer.py | 85 +++++ modules/dynunet_pipeline/transforms.py | 340 ++++++++++++++++++ 11 files changed, 1385 insertions(+) create mode 100644 modules/dynunet_pipeline/README.md create mode 100644 modules/dynunet_pipeline/commands/run_task04.sh create mode 100644 modules/dynunet_pipeline/create_datalist.py create mode 100644 modules/dynunet_pipeline/create_dataset.py create mode 100644 modules/dynunet_pipeline/create_network.py create mode 100644 modules/dynunet_pipeline/evaluator.py create mode 100644 modules/dynunet_pipeline/inferrer.py create mode 100644 modules/dynunet_pipeline/task_params.py create mode 100644 modules/dynunet_pipeline/train.py create mode 100644 modules/dynunet_pipeline/trainer.py create mode 100644 modules/dynunet_pipeline/transforms.py diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md new file mode 100644 index 0000000000..c4f8a33ed8 --- /dev/null +++ b/modules/dynunet_pipeline/README.md @@ -0,0 +1,22 @@ +# Overview +This pipeline is modified from NNUnet [1,2] which wins the "Medical Segmentation Decathlon Challenge 2018" and open sourced from https://github.com/MIC-DKFZ/nnUNet. + +## Data +The source decathlon datasets can be found from http://medicaldecathlon.com/. + +After getting the dataset, please run `create_datalist.py` to get the datalists (please check the command line arguments first). The default seed can help to get the same 5 folds data splits as NNUnet has, and the created datalist will be in `config/` + +## Training +Please run `train.py` for training. Please modify the command line arguments according +to the actual situation. + +A sample training script is shown in `commands/run_task04.sh`, it runs on task 04 and use +fold 0 for validation. You can use `bash commands/run_task04.sh` to run this script. + +## Validation +Please run `train.py` and set the argument `mode` to `val` for validation. + +# References +[1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. + +[2] Isensee F, Petersen J, Klein A, et al. nnu-net: Self-adapting framework for u-net-based medical image segmentation[J]. arXiv preprint arXiv:1809.10486, 2018. diff --git a/modules/dynunet_pipeline/commands/run_task04.sh b/modules/dynunet_pipeline/commands/run_task04.sh new file mode 100644 index 0000000000..fc2b72c7b8 --- /dev/null +++ b/modules/dynunet_pipeline/commands/run_task04.sh @@ -0,0 +1,12 @@ +# this task requires a single GPU with at least 6GB memory +lr=1e-1 +# train step 1, with large learning rate + +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 -expr_name baseline -tta_val True + +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +# lr=1e-3 +# weight=your_output_weightfile.pt +# CUDA_VISIBLE_DEVICES=0 python train_gaussian.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file diff --git a/modules/dynunet_pipeline/create_datalist.py b/modules/dynunet_pipeline/create_datalist.py new file mode 100644 index 0000000000..92203f2c8a --- /dev/null +++ b/modules/dynunet_pipeline/create_datalist.py @@ -0,0 +1,91 @@ +import json +import os +from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser + +import numpy as np +from sklearn.model_selection import KFold + + +def create_datalist( + dataset_input_dir: str, + output_dir: str, + task_id: str, + num_folds: int, + seed: int, +): + task_name = { + "01": "Task01_BrainTumour", + "02": "Task02_Heart", + "03": "Task03_Liver", + "04": "Task04_Hippocampus", + "05": "Task05_Prostate", + "06": "Task06_Lung", + "07": "Task07_Pancreas", + "08": "Task08_HepaticVessel", + "09": "Task09_Spleen", + "10": "Task10_Colon", + } + + dataset_file_path = os.path.join( + dataset_input_dir, task_name[task_id], "dataset.json" + ) + + with open(dataset_file_path, "r") as f: + dataset = json.load(f) + f.close() + + dataset_with_folds = dataset.copy() + + keys = [line["image"].split("/")[-1].split(".")[0] for line in dataset["training"]] + dataset_train_dict = dict(zip(keys, dataset["training"])) + all_keys_sorted = np.sort(keys) + kfold = KFold(n_splits=num_folds, shuffle=True, random_state=seed) + for i, (train_idx, test_idx) in enumerate(kfold.split(all_keys_sorted)): + val_data = [] + train_data = [] + train_keys = np.array(all_keys_sorted)[train_idx] + test_keys = np.array(all_keys_sorted)[test_idx] + for key in test_keys: + val_data.append(dataset_train_dict[key]) + for key in train_keys: + train_data.append(dataset_train_dict[key]) + + dataset_with_folds["validation_fold{}".format(i)] = val_data + dataset_with_folds["train_fold{}".format(i)] = train_data + del dataset + + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + with open( + os.path.join(output_dir, "dataset_task{}.json".format(task_id)), "w" + ) as f: + json.dump(dataset_with_folds, f) + print("data list for {} has been created!".format(task_name[task_id])) + f.close() + + +if __name__ == "__main__": + parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) + + parser.add_argument( + "-input_dir", "--input_dir", type=str, default="/workspace/data/medical/" + ) + parser.add_argument("-output_dir", "--output_dir", type=str, default="config/") + parser.add_argument( + "-task_id", "--task_id", type=str, default="04", help="task 01 to 10" + ) + parser.add_argument( + "-num_folds", "--num_folds", type=int, default=5, help="number of folds" + ) + parser.add_argument("-seed", "--seed", type=int, default=12345, help="seed number") + + args = parser.parse_args() + + create_datalist( + dataset_input_dir=args.input_dir, + output_dir=args.output_dir, + task_id=args.task_id, + num_folds=args.num_folds, + seed=args.seed, + ) diff --git a/modules/dynunet_pipeline/create_dataset.py b/modules/dynunet_pipeline/create_dataset.py new file mode 100644 index 0000000000..5b375d43b8 --- /dev/null +++ b/modules/dynunet_pipeline/create_dataset.py @@ -0,0 +1,73 @@ +import os + +from monai.data import ( + CacheDataset, + DataLoader, + load_decathlon_datalist, + load_decathlon_properties, +) + +from task_params import task_name +from transforms import get_task_transforms + + +def get_data(args, batch_size=1, mode="train"): + # get necessary parameters: + fold = args.fold + task_id = args.task_id + root_dir = args.root_dir + datalist_path = args.datalist_path + dataset_path = os.path.join(root_dir, task_name[task_id]) + transform_params = (args.pos_sample_num, args.neg_sample_num, args.num_samples) + + transform = get_task_transforms(mode, task_id, *transform_params) + list_key = "{}_fold{}".format(mode, fold) + datalist_name = "dataset_task{}.json".format(task_id) + + property_keys = [ + "name", + "description", + "reference", + "licence", + "tensorImageSize", + "modality", + "labels", + "numTraining", + "numTest", + ] + + datalist = load_decathlon_datalist( + os.path.join(datalist_path, datalist_name), True, list_key, dataset_path + ) + properties = load_decathlon_properties( + os.path.join(datalist_path, datalist_name), property_keys + ) + if mode == "validation": + val_ds = CacheDataset( + data=datalist, + transform=transform, + num_workers=4, + ) + + val_loader = DataLoader( + val_ds, + batch_size=batch_size, + shuffle=False, + num_workers=args.val_num_workers, + ) + return properties, val_loader + elif mode == "train": + train_ds = CacheDataset( + data=datalist, + transform=transform, + num_workers=8, + cache_rate=args.cache_rate, + ) + train_loader = DataLoader( + train_ds, + batch_size=batch_size, + shuffle=True, + num_workers=args.train_num_workers, + drop_last=True, + ) + return properties, train_loader diff --git a/modules/dynunet_pipeline/create_network.py b/modules/dynunet_pipeline/create_network.py new file mode 100644 index 0000000000..6cdd9df789 --- /dev/null +++ b/modules/dynunet_pipeline/create_network.py @@ -0,0 +1,55 @@ +import os + +import torch +from monai.networks.nets import DynUNet + +from task_params import deep_supr_num, patch_size, spacing + + +def get_kernels_strides(task_id): + sizes, spacings = patch_size[task_id], spacing[task_id] + strides, kernels = [], [] + + while True: + spacing_ratio = [sp / min(spacings) for sp in spacings] + stride = [ + 2 if ratio <= 2 and size >= 8 else 1 + for (ratio, size) in zip(spacing_ratio, sizes) + ] + kernel = [3 if ratio <= 2 else 1 for ratio in spacing_ratio] + if all(s == 1 for s in stride): + break + sizes = [i / j for i, j in zip(sizes, stride)] + spacings = [i * j for i, j in zip(spacings, stride)] + kernels.append(kernel) + strides.append(stride) + strides.insert(0, len(spacings) * [1]) + kernels.append(len(spacings) * [3]) + return kernels, strides + + +def get_network(device, properties, task_id, pretrain_path, checkpoint=None): + n_class = len(properties["labels"]) + in_channels = len(properties["modality"]) + kernels, strides = get_kernels_strides(task_id) + + net = DynUNet( + spatial_dims=3, + in_channels=in_channels, + out_channels=n_class, + kernel_size=kernels, + strides=strides, + upsample_kernel_size=strides[1:], + norm_name="instance", + deep_supervision=True, + deep_supr_num=deep_supr_num[task_id], + ).to(device) + + if checkpoint is not None: + pretrain_path = os.path.join(pretrain_path, checkpoint) + if os.path.exists(pretrain_path): + net.load_state_dict(torch.load(pretrain_path)) + print("pretrained checkpoint: {} loaded".format(pretrain_path)) + else: + print("no pretrained checkpoint") + return net diff --git a/modules/dynunet_pipeline/evaluator.py b/modules/dynunet_pipeline/evaluator.py new file mode 100644 index 0000000000..70ef25e7e9 --- /dev/null +++ b/modules/dynunet_pipeline/evaluator.py @@ -0,0 +1,177 @@ +from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union + +import torch +import torch.nn as nn +from ignite.engine import Engine +from ignite.metrics import Metric +from monai.engines import SupervisedEvaluator +from monai.engines.utils import CommonKeys as Keys +from monai.engines.utils import IterationEvents, default_prepare_batch +from monai.inferers import Inferer +from monai.networks.utils import eval_mode +from monai.transforms import AsDiscrete, Transform +from torch.utils.data import DataLoader + +from transforms import recovery_prediction + + +class DynUNetEvaluator(SupervisedEvaluator): + """ + This class inherits from SupervisedEvaluator in MONAI, and is used with DynUNet + on Decathlon datasets. + + Args: + device: an object representing the device on which to run. + val_data_loader: Ignite engine use data_loader to run, must be + torch.DataLoader. + network: use the network to run model forward. + n_classes: the number of classes (output channels) for the task. + epoch_length: number of iterations for one epoch, default to + `len(val_data_loader)`. + non_blocking: if True and this copy is between CPU and GPU, the copy may occur asynchronously + with respect to the host. For other cases, this argument has no effect. + prepare_batch: function to parse image and label for current iteration. + iteration_update: the callable function for every iteration, expect to accept `engine` + and `batchdata` as input parameters. if not provided, use `self._iteration()` instead. + inferer: inference method that execute model forward on input data, like: SlidingWindow, etc. + post_transform: execute additional transformation for the model output data. + Typically, several Tensor based transforms composed by `Compose`. + key_val_metric: compute metric when every iteration completed, and save average value to + engine.state.metrics when epoch completed. key_val_metric is the main metric to compare and save the + checkpoint into files. + additional_metrics: more Ignite metrics that also attach to Ignite Engine. + val_handlers: every handler is a set of Ignite Event-Handlers, must have `attach` function, like: + CheckpointHandler, StatsHandler, SegmentationSaver, etc. + amp: whether to enable auto-mixed-precision evaluation, default is False. + tta_val: whether to do the 8 flips (8 = 2 ** 3, where 3 represents the three dimensions) + test time augmentation, default is False. + + """ + + def __init__( + self, + device: torch.device, + val_data_loader: DataLoader, + network: torch.nn.Module, + n_classes: Union[str, int], + epoch_length: Optional[int] = None, + non_blocking: bool = False, + prepare_batch: Callable = default_prepare_batch, + iteration_update: Optional[Callable] = None, + inferer: Optional[Inferer] = None, + post_transform: Optional[Transform] = None, + key_val_metric: Optional[Dict[str, Metric]] = None, + additional_metrics: Optional[Dict[str, Metric]] = None, + val_handlers: Optional[Sequence] = None, + amp: bool = False, + tta_val: bool = False, + ) -> None: + super().__init__( + device=device, + val_data_loader=val_data_loader, + network=network, + epoch_length=epoch_length, + non_blocking=non_blocking, + prepare_batch=prepare_batch, + iteration_update=iteration_update, + inferer=inferer, + post_transform=post_transform, + key_val_metric=key_val_metric, + additional_metrics=additional_metrics, + val_handlers=val_handlers, + amp=amp, + ) + + if not isinstance(n_classes, int): + n_classes = int(n_classes) + self.n_classes = n_classes + self.post_pred = AsDiscrete(argmax=True, to_onehot=True, n_classes=n_classes) + self.post_label = AsDiscrete(to_onehot=True, n_classes=n_classes) + self.tta_val = tta_val + + def _iteration( + self, engine: Engine, batchdata: Dict[str, Any] + ) -> Dict[str, torch.Tensor]: + """ + callback function for the Supervised Evaluation processing logic of 1 iteration in Ignite Engine. + Return below items in a dictionary: + - IMAGE: image Tensor data for model input, already moved to device. + - LABEL: label Tensor data corresponding to the image, already moved to device. + - PRED: prediction result of model. + + Args: + engine: Ignite Engine, it can be a trainer, validator or evaluator. + batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. + + Raises: + ValueError: When ``batchdata`` is None. + + """ + if batchdata is None: + raise ValueError("Must provide batch data for current iteration.") + batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) + if len(batch) == 2: + inputs, targets = batch + args: Tuple = () + kwargs: Dict = {} + else: + inputs, targets, args, kwargs = batch + + targets = targets.cpu() + + def _compute_pred(): + ct = 1.0 + pred = self.inferer(inputs, self.network, *args, **kwargs).cpu() + pred = nn.functional.softmax(pred, dim=1) + if not self.tta_val: + return pred + else: + for dims in [[2], [3], [4], (2, 3), (2, 4), (3, 4), (2, 3, 4)]: + flip_inputs = torch.flip(inputs, dims=dims) + flip_pred = torch.flip( + self.inferer(flip_inputs, self.network).cpu(), dims=dims + ) + flip_pred = nn.functional.softmax(flip_pred, dim=1) + del flip_inputs + pred += flip_pred + del flip_pred + ct += 1 + return pred / ct + + # execute forward computation + with eval_mode(self.network): + if self.amp: + with torch.cuda.amp.autocast(): + predictions = _compute_pred() + else: + predictions = _compute_pred() + + inputs = inputs.cpu() + predictions = self.post_pred(predictions) + targets = self.post_label(targets) + + resample_flag = batchdata["resample_flag"] + anisotrophy_flag = batchdata["anisotrophy_flag"] + crop_shape = batchdata["crop_shape"][0].tolist() + original_shape = batchdata["original_shape"][0].tolist() + if resample_flag: + # convert the prediction back to the original (after cropped) shape + predictions = recovery_prediction( + predictions.numpy()[0], [self.n_classes, *crop_shape], anisotrophy_flag + ) + predictions = torch.tensor(predictions) + + # put iteration outputs into engine.state + engine.state.output = output = {Keys.IMAGE: inputs, Keys.LABEL: targets} + output[Keys.PRED] = torch.zeros([1, self.n_classes, *original_shape]) + # pad the prediction back to the original shape + box_start, box_end = batchdata["bbox"][0] + h_start, w_start, d_start = box_start + h_end, w_end, d_end = box_end + output[Keys.PRED][ + 0, :, h_start:h_end, w_start:w_end, d_start:d_end + ] = predictions + del predictions + + engine.fire_event(IterationEvents.FORWARD_COMPLETED) + return output diff --git a/modules/dynunet_pipeline/inferrer.py b/modules/dynunet_pipeline/inferrer.py new file mode 100644 index 0000000000..b9d8ceeb0f --- /dev/null +++ b/modules/dynunet_pipeline/inferrer.py @@ -0,0 +1,192 @@ +import os +from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union + +import nibabel as nib +import numpy as np +import torch +import torch.nn as nn +from ignite.engine import Engine +from ignite.metrics import Metric +from monai.data.utils import to_affine_nd +from monai.engines import SupervisedEvaluator +from monai.engines.utils import IterationEvents, default_prepare_batch +from monai.inferers import Inferer +from monai.networks.utils import eval_mode +from monai.transforms import AsDiscrete, Transform +from torch.utils.data import DataLoader + +from transforms import recovery_prediction + + +class DynUNetInferrer(SupervisedEvaluator): + """ + This class inherits from SupervisedEvaluator in MONAI, and is used with DynUNet + on Decathlon datasets. + + Args: + device: an object representing the device on which to run. + val_data_loader: Ignite engine use data_loader to run, must be + torch.DataLoader. + network: use the network to run model forward. + output_dir: the path to save inferred outputs. + n_classes: the number of classes (output channels) for the task. + epoch_length: number of iterations for one epoch, default to + `len(val_data_loader)`. + non_blocking: if True and this copy is between CPU and GPU, the copy may occur asynchronously + with respect to the host. For other cases, this argument has no effect. + prepare_batch: function to parse image and label for current iteration. + iteration_update: the callable function for every iteration, expect to accept `engine` + and `batchdata` as input parameters. if not provided, use `self._iteration()` instead. + inferer: inference method that execute model forward on input data, like: SlidingWindow, etc. + post_transform: execute additional transformation for the model output data. + Typically, several Tensor based transforms composed by `Compose`. + key_val_metric: compute metric when every iteration completed, and save average value to + engine.state.metrics when epoch completed. key_val_metric is the main metric to compare and save the + checkpoint into files. + additional_metrics: more Ignite metrics that also attach to Ignite Engine. + val_handlers: every handler is a set of Ignite Event-Handlers, must have `attach` function, like: + CheckpointHandler, StatsHandler, SegmentationSaver, etc. + amp: whether to enable auto-mixed-precision evaluation, default is False. + tta_val: whether to do the 8 flips (8 = 2 ** 3, where 3 represents the three dimensions) + test time augmentation, default is False. + + """ + + def __init__( + self, + device: torch.device, + val_data_loader: DataLoader, + network: torch.nn.Module, + output_dir: str, + n_classes: Union[str, int], + epoch_length: Optional[int] = None, + non_blocking: bool = False, + prepare_batch: Callable = default_prepare_batch, + iteration_update: Optional[Callable] = None, + inferer: Optional[Inferer] = None, + post_transform: Optional[Transform] = None, + key_val_metric: Optional[Dict[str, Metric]] = None, + additional_metrics: Optional[Dict[str, Metric]] = None, + val_handlers: Optional[Sequence] = None, + amp: bool = False, + tta_val: bool = False, + ) -> None: + super().__init__( + device=device, + val_data_loader=val_data_loader, + network=network, + epoch_length=epoch_length, + non_blocking=non_blocking, + prepare_batch=prepare_batch, + iteration_update=iteration_update, + inferer=inferer, + post_transform=post_transform, + key_val_metric=key_val_metric, + additional_metrics=additional_metrics, + val_handlers=val_handlers, + amp=amp, + ) + + if not isinstance(n_classes, int): + n_classes = int(n_classes) + self.post_pred = AsDiscrete(argmax=True, to_onehot=True, n_classes=n_classes) + self.output_dir = output_dir + self.tta_val = tta_val + self.n_classes = n_classes + + def _iteration( + self, engine: Engine, batchdata: Dict[str, Any] + ) -> Dict[str, torch.Tensor]: + """ + callback function for the Supervised Evaluation processing logic of 1 iteration in Ignite Engine. + Return below item in a dictionary: + - PRED: prediction result of model. + + Args: + engine: Ignite Engine, it can be a trainer, validator or evaluator. + batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. + + Raises: + ValueError: When ``batchdata`` is None. + + """ + if batchdata is None: + raise ValueError("Must provide batch data for current iteration.") + batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) + if len(batch) == 2: + inputs, _ = batch + args: Tuple = () + kwargs: Dict = {} + else: + inputs, _, args, kwargs = batch + + def _compute_pred(): + ct = 1.0 + pred = self.inferer(inputs, self.network, *args, **kwargs).cpu() + pred = nn.functional.softmax(pred, dim=1) + if not self.tta_val: + return pred + else: + for dims in [[2], [3], [4], (2, 3), (2, 4), (3, 4), (2, 3, 4)]: + flip_inputs = torch.flip(inputs, dims=dims) + flip_pred = torch.flip( + self.inferer(flip_inputs, self.network).cpu(), dims=dims + ) + flip_pred = nn.functional.softmax(flip_pred, dim=1) + del flip_inputs + pred += flip_pred + del flip_pred + ct += 1 + return pred / ct + + # execute forward computation + with eval_mode(self.network): + if self.amp: + with torch.cuda.amp.autocast(): + predictions = _compute_pred() + else: + predictions = _compute_pred() + + inputs = inputs.cpu() + predictions = self.post_pred(predictions) + + target_affine = batchdata["image_meta_dict"]["affine"].numpy()[0] + resample_flag = batchdata["resample_flag"] + anisotrophy_flag = batchdata["anisotrophy_flag"] + crop_shape = batchdata["crop_shape"][0].tolist() + original_shape = batchdata["original_shape"][0].tolist() + + if resample_flag: + # convert the prediction back to the original (after cropped) shape + predictions = recovery_prediction( + predictions.numpy()[0], [self.n_classes, *crop_shape], anisotrophy_flag + ) + else: + predictions = predictions.numpy() + + predictions = predictions[0] + predictions = np.argmax(predictions, axis=0) + + # pad the prediction back to the original shape + predictions_org = np.zeros([*original_shape]) + box_start, box_end = batchdata["bbox"][0] + h_start, w_start, d_start = box_start + h_end, w_end, d_end = box_end + predictions_org[h_start:h_end, w_start:w_end, d_start:d_end] = predictions + del predictions + + filename = batchdata["image_meta_dict"]["filename_or_obj"][0].split("/")[-1] + + print( + "save {} with shape: {}, mean values: {}".format( + filename, predictions_org.shape, predictions_org.mean() + ) + ) + results_img = nib.Nifti1Image( + predictions_org.astype(np.uint8), to_affine_nd(3, target_affine) + ) + del predictions_org + nib.save(results_img, os.path.join(self.output_dir, filename)) + + engine.fire_event(IterationEvents.FORWARD_COMPLETED) + return {"pred": results_img} diff --git a/modules/dynunet_pipeline/task_params.py b/modules/dynunet_pipeline/task_params.py new file mode 100644 index 0000000000..6e23813384 --- /dev/null +++ b/modules/dynunet_pipeline/task_params.py @@ -0,0 +1,90 @@ +task_name = { + "01": "Task01_BrainTumour", + "02": "Task02_Heart", + "03": "Task03_Liver", + "04": "Task04_Hippocampus", + "05": "Task05_Prostate", + "06": "Task06_Lung", + "07": "Task07_Pancreas", + "08": "Task08_HepaticVessel", + "09": "Task09_Spleen", + "10": "Task10_Colon", +} + +patch_size = { + "01": [128, 128, 128], + "02": [160, 192, 80], + "03": [128, 128, 128], + "04": [40, 56, 40], + "05": [320, 256, 20], + "06": [192, 160, 80], + "07": [224, 224, 40], + "08": [192, 192, 64], + "09": [192, 160, 64], + "10": [192, 160, 56], +} + +spacing = { + "01": [1.0, 1.0, 1.0], + "02": [1.25, 1.25, 1.37], + "03": [0.77, 0.77, 1], + "04": [1.0, 1.0, 1.0], + "05": [0.62, 0.62, 3.6], + "06": [0.79, 0.79, 1.24], + "07": [0.8, 0.8, 2.5], + "08": [0.8, 0.8, 1.5], + "09": [0.79, 0.79, 1.6], + "10": [0.78, 0.78, 3], +} + +clip_values = { + "01": [0, 0], + "02": [0, 0], + "03": [-17, 201], + "04": [0, 0], + "05": [0, 0], + "06": [-1024, 325], + "07": [-96, 215], + "08": [-3, 243], + "09": [-41, 176], + "10": [-30, 165.82], +} + +normalize_values = { + "01": [0, 0], + "02": [0, 0], + "03": [99.40, 39.36], + "04": [0, 0], + "05": [0, 0], + "06": [-158.58, 324.7], + "07": [77.99, 75.4], + "08": [104.37, 52.62], + "09": [99.29, 39.47], + "10": [62.18, 32.65], +} + +data_loader_params = { + "01": {"batch_size": 8}, + "02": {"batch_size": 2}, + "03": {"batch_size": 8}, + "04": {"batch_size": 9}, + "05": {"batch_size": 2}, + "06": {"batch_size": 2}, + "07": {"batch_size": 2}, + "08": {"batch_size": 2}, + "09": {"batch_size": 2}, + "10": {"batch_size": 2}, +} + +deep_supr_num = { + "01": 3, + "02": 3, + "03": 3, + "04": 1, + "05": 4, + "06": 3, + "07": 3, + "08": 3, + "09": 3, + "10": 3, +} diff --git a/modules/dynunet_pipeline/train.py b/modules/dynunet_pipeline/train.py new file mode 100644 index 0000000000..60655441f9 --- /dev/null +++ b/modules/dynunet_pipeline/train.py @@ -0,0 +1,248 @@ +import logging +import os +from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser + +import torch +from monai.handlers import (CheckpointSaver, LrScheduleHandler, MeanDice, + StatsHandler, ValidationHandler) +from monai.inferers import SimpleInferer, SlidingWindowInferer +from monai.losses import DiceCELoss + +from task_params import data_loader_params, patch_size +from create_dataset import get_data +from create_network import get_network +from evaluator import DynUNetEvaluator +from trainer import DynUNetTrainer + + +def validation(args): + # load hyper parameters + task_id = args.task_id + sw_batch_size = args.sw_batch_size + tta_val = args.tta_val + window_mode = args.window_mode + eval_overlap = args.eval_overlap + amp = args.amp + + properties, val_loader = get_data(args, mode="validation") + n_classes = len(properties["labels"]) + # produce the network + checkpoint = args.checkpoint + val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, args.fold, args.expr_name) + device = torch.device("cuda:0") + net = get_network(device, properties, task_id, val_output_dir, checkpoint) + + net.eval() + + evaluator = DynUNetEvaluator( + device=device, + val_data_loader=val_loader, + network=net, + n_classes=n_classes, + inferer=SlidingWindowInferer( + roi_size=patch_size[task_id], + sw_batch_size=sw_batch_size, + overlap=eval_overlap, + mode=window_mode, + ), + post_transform=None, + key_val_metric={ + "val_mean_dice": MeanDice( + include_background=False, + output_transform=lambda x: (x["pred"], x["label"]), + ) + }, + additional_metrics=None, + amp=amp, + tta_val=tta_val, + ) + + evaluator.run() + print(evaluator.state.metrics) + results = evaluator.state.metric_details["val_mean_dice"] + if n_classes > 2: + for i in range(n_classes - 1): + print("mean dice for label {} is {}".format(i+1, results[:, i].mean())) + + +def train(args): + # load hyper parameters + task_id = args.task_id + fold = args.fold + val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, fold, args.expr_name) + log_filename = "nnunet_task{}_fold{}.log".format(task_id, fold) + log_filename = os.path.join(val_output_dir, log_filename) + interval = args.interval + learning_rate = args.learning_rate + max_epochs = args.max_epochs + amp_flag = args.amp + lr_decay_flag = args.lr_decay + sw_batch_size = args.sw_batch_size + tta_val = args.tta_val + batch_dice = args.batch_dice + window_mode = args.window_mode + eval_overlap = args.eval_overlap + + # transforms + train_batch_size = data_loader_params[task_id]["batch_size"] + + properties, val_loader = get_data(args, mode="validation") + _, train_loader = get_data(args, batch_size=train_batch_size, mode="train") + + # produce the network + device = torch.device("cuda:0") + checkpoint = args.checkpoint + net = get_network(device, properties, task_id, val_output_dir, checkpoint) + + optimizer = torch.optim.SGD( + net.parameters(), + lr=learning_rate, + momentum=0.99, + weight_decay=3e-5, + nesterov=True, + ) + + scheduler = torch.optim.lr_scheduler.LambdaLR( + optimizer, lr_lambda=lambda epoch: (1 - epoch / max_epochs) ** 0.9 + ) + # produce evaluator + val_handlers = [ + StatsHandler(output_transform=lambda x: None), + CheckpointSaver( + save_dir=val_output_dir, save_dict={"net": net}, save_key_metric=True + ), + ] + + evaluator = DynUNetEvaluator( + device=device, + val_data_loader=val_loader, + network=net, + n_classes=len(properties["labels"]), + inferer=SlidingWindowInferer( + roi_size=patch_size[task_id], + sw_batch_size=sw_batch_size, + overlap=eval_overlap, + mode=window_mode, + ), + post_transform=None, + key_val_metric={ + "val_mean_dice": MeanDice( + include_background=False, + output_transform=lambda x: (x["pred"], x["label"]), + ) + }, + val_handlers=val_handlers, + amp=amp_flag, + tta_val=tta_val, + ) + # produce trainer + loss = DiceCELoss(to_onehot_y=True, softmax=True, batch=batch_dice) + train_handlers = [] + if lr_decay_flag: + train_handlers += [LrScheduleHandler(lr_scheduler=scheduler, print_lr=True)] + + train_handlers += [ + ValidationHandler(validator=evaluator, interval=interval, epoch_level=True), + StatsHandler(tag_name="train_loss", output_transform=lambda x: x["loss"]), + ] + + trainer = DynUNetTrainer( + device=device, + max_epochs=max_epochs, + train_data_loader=train_loader, + network=net, + optimizer=optimizer, + loss_function=loss, + inferer=SimpleInferer(), + post_transform=None, + key_train_metric=None, + train_handlers=train_handlers, + amp=amp_flag, + ) + + # run + logger = logging.getLogger() + + formatter = logging.Formatter( + "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + ) + + # Setup file handler + fhandler = logging.FileHandler(log_filename) + fhandler.setLevel(logging.INFO) + fhandler.setFormatter(formatter) + + # Configure stream handler for the cells + chandler = logging.StreamHandler() + chandler.setLevel(logging.INFO) + chandler.setFormatter(formatter) + + # Add both handlers + logger.addHandler(fhandler) + logger.addHandler(chandler) + logger.setLevel(logging.INFO) + + # Show the handlers + logger.handlers + + # Log Something + logger.info("Test info") + logger.debug("Test debug") + + trainer.run() + + +if __name__ == "__main__": + parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) + parser.add_argument("-fold", "--fold", type=int, default=0, help="0-5") + parser.add_argument( + "-task_id", "--task_id", type=str, default="02", help="task 01 to 10" + ) + parser.add_argument( + "-root_dir", + "--root_dir", + type=str, + default="/workspace/data/medical/", + help="dataset path", + ) + parser.add_argument("-expr_name", "--expr_name", type=str, default="expr", help="the suffix of the experiment's folder") + parser.add_argument( + "-datalist_path", "--datalist_path", type=str, default="config/", + ) + parser.add_argument( + "-train_num_workers", "--train_num_workers", type=int, default=4, help="the num_workers parameter of training dataloader." + ) + parser.add_argument("-val_num_workers", "--val_num_workers", type=int, default=1, help="the num_workers parameter of validation dataloader.") + parser.add_argument("-interval", "--interval", type=int, default=5, help="the validation interval under epoch level.") + parser.add_argument("-eval_overlap", "--eval_overlap", type=float, default=0.5, help="the overlap parameter of SlidingWindowInferer.") + parser.add_argument("-sw_batch_size", "--sw_batch_size", type=int, default=4, help="the sw_batch_size parameter of SlidingWindowInferer.") + parser.add_argument( + "-window_mode", + "--window_mode", + type=str, + default="gaussian", + choices=["constant", "gaussian"], + help="the mode parameter for SlidingWindowInferer." + ) + parser.add_argument("-num_samples", "--num_samples", type=int, default=3, help="the num_samples parameter of RandCropByPosNegLabeld.") + parser.add_argument("-pos_sample_num", "--pos_sample_num", type=int, default=1, help="the pos parameter of RandCropByPosNegLabeld.") + parser.add_argument("-neg_sample_num", "--neg_sample_num", type=int, default=1, help="the neg parameter of RandCropByPosNegLabeld.") + parser.add_argument("-cache_rate", "--cache_rate", type=float, default=1.0, help="the cache_rate parameter of CacheDataset.") + parser.add_argument("-learning_rate", "--learning_rate", type=float, default=1e-2) + parser.add_argument("-max_epochs", "--max_epochs", type=int, default=1000, help="number of epochs of training.") + parser.add_argument( + "-mode", "--mode", type=str, default="train", choices=["train", "val"] + ) + parser.add_argument("-checkpoint", "--checkpoint", type=str, default=None, help="the filename of weights.") + parser.add_argument("-amp", "--amp", type=bool, default=False, help="whether to use automatic mixed precision.") + parser.add_argument("-lr_decay", "--lr_decay", type=bool, default=False, help="whether to use learning rate decay.") + parser.add_argument("-tta_val", "--tta_val", type=bool, default=False, help="whether to use test time augmentation.") + parser.add_argument("-batch_dice", "--batch_dice", type=bool, default=False, help="the batch parameter of DiceCELoss.") + + args = parser.parse_args() + + if args.mode == "train": + train(args) + elif args.mode == "val": + validation(args) + \ No newline at end of file diff --git a/modules/dynunet_pipeline/trainer.py b/modules/dynunet_pipeline/trainer.py new file mode 100644 index 0000000000..ac45ae994a --- /dev/null +++ b/modules/dynunet_pipeline/trainer.py @@ -0,0 +1,85 @@ +from typing import Any, Dict, Tuple + +import torch +from ignite.engine import Engine +from monai.engines import SupervisedTrainer +from monai.engines.utils import CommonKeys as Keys +from monai.engines.utils import IterationEvents +from torch.nn.parallel import DistributedDataParallel + + +class DynUNetTrainer(SupervisedTrainer): + """ + This class inherits from SupervisedTrainer in MONAI, and is used with DynUNet + on Decathlon datasets. + + """ + + def _iteration(self, engine: Engine, batchdata: Dict[str, Any]): + """ + Callback function for the Supervised Training processing logic of 1 iteration in Ignite Engine. + Return below items in a dictionary: + - IMAGE: image Tensor data for model input, already moved to device. + - LABEL: label Tensor data corresponding to the image, already moved to device. + - PRED: prediction result of model. + - LOSS: loss value computed by loss function. + + Args: + engine: Ignite Engine, it can be a trainer, validator or evaluator. + batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. + + Raises: + ValueError: When ``batchdata`` is None. + + """ + if batchdata is None: + raise ValueError("Must provide batch data for current iteration.") + batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) + if len(batch) == 2: + inputs, targets = batch + args: Tuple = () + kwargs: Dict = {} + else: + inputs, targets, args, kwargs = batch + # put iteration outputs into engine.state + engine.state.output = output = {Keys.IMAGE: inputs, Keys.LABEL: targets} + + def _compute_pred_loss(): + preds = self.inferer(inputs, self.network, *args, **kwargs) + if len(preds.size()) - len(targets.size()) == 1: + # deep supervision mode, need to unbind feature maps first. + preds = torch.unbind(preds, dim=1) + output[Keys.PRED] = preds + del preds + engine.fire_event(IterationEvents.FORWARD_COMPLETED) + output[Keys.LOSS] = sum( + 0.5 ** i * self.loss_function.forward(p, targets) + for i, p in enumerate(output[Keys.PRED]) + ) + engine.fire_event(IterationEvents.LOSS_COMPLETED) + + self.network.train() + self.optimizer.zero_grad() + if self.amp and self.scaler is not None: + with torch.cuda.amp.autocast(): + _compute_pred_loss() + self.scaler.scale(output[Keys.LOSS]).backward() + self.scaler.unscale_(self.optimizer) + if isinstance(self.network, DistributedDataParallel): + torch.nn.utils.clip_grad_norm_(self.network.module.parameters(), 12) + else: + torch.nn.utils.clip_grad_norm_(self.network.parameters(), 12) + self.scaler.step(self.optimizer) + self.scaler.update() + else: + _compute_pred_loss() + output[Keys.LOSS].backward() + engine.fire_event(IterationEvents.BACKWARD_COMPLETED) + if isinstance(self.network, DistributedDataParallel): + torch.nn.utils.clip_grad_norm_(self.network.module.parameters(), 12) + else: + torch.nn.utils.clip_grad_norm_(self.network.parameters(), 12) + self.optimizer.step() + engine.fire_event(IterationEvents.OPTIMIZER_COMPLETED) + + return output diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py new file mode 100644 index 0000000000..34f26a80d7 --- /dev/null +++ b/modules/dynunet_pipeline/transforms.py @@ -0,0 +1,340 @@ +import numpy as np +from monai.transforms import ( + AddChanneld, + AsChannelFirstd, + CastToTyped, + Compose, + CropForegroundd, + LoadImaged, + NormalizeIntensity, + RandCropByPosNegLabeld, + RandFlipd, + RandGaussianNoised, + RandGaussianSmoothd, + RandScaleIntensityd, + RandZoomd, + SpatialCrop, + SpatialPadd, + ToTensord, +) +from monai.transforms.compose import MapTransform +from monai.transforms.utils import generate_spatial_bounding_box +from skimage.transform import resize + +from task_params import clip_values, normalize_values, patch_size, spacing + + +def get_task_transforms(mode, task_id, pos_sample_num, neg_sample_num, num_samples): + + # 1. loading for different formats + if mode != "test": + load_keys = ["image", "label"] + else: + load_keys = ["image"] + + if task_id in ["01", "05"]: + load_transforms = [ + LoadImaged(keys=load_keys), + AsChannelFirstd(keys="image"), + ] + if mode != "test": + load_transforms.append(AddChanneld(keys=["label"])) + else: + load_transforms = [ + LoadImaged(keys=load_keys), + AddChanneld(keys=load_keys), + ] + # 2. sampling + if mode != "test": + sample_keys = ["image", "label"] + else: + sample_keys = ["image"] + sample_transforms = [ + PreprocessAnisotropic( + keys=sample_keys, + clip_values=clip_values[task_id], + pixdim=spacing[task_id], + normalize_values=normalize_values[task_id], + model_mode=mode, + ), + ] + # 3. spatial transforms + if mode == "train": + other_transforms = [ + SpatialPadd(keys=["image", "label"], spatial_size=patch_size[task_id]), + RandCropByPosNegLabeld( + keys=["image", "label"], + label_key="label", + spatial_size=patch_size[task_id], + pos=pos_sample_num, + neg=neg_sample_num, + num_samples=num_samples, + image_key="image", + image_threshold=0, + ), + RandZoomd( + keys=["image", "label"], + min_zoom=0.9, + max_zoom=1.2, + mode=("trilinear", "nearest"), + align_corners=(True, None), + prob=0.15, + ), + RandGaussianNoised(keys=["image"], std=0.01, prob=0.15), + RandGaussianSmoothd( + keys=["image"], + sigma_x=(0.5, 1.15), + sigma_y=(0.5, 1.15), + sigma_z=(0.5, 1.15), + prob=0.15, + ), + RandScaleIntensityd(keys=["image"], factors=0.3, prob=0.15), + RandFlipd(["image", "label"], spatial_axis=[0], prob=0.5), + RandFlipd(["image", "label"], spatial_axis=[1], prob=0.5), + RandFlipd(["image", "label"], spatial_axis=[2], prob=0.5), + CastToTyped(keys=["image", "label"], dtype=(np.float32, np.uint8)), + ToTensord(keys=["image", "label"]), + ] + elif mode == "validation": + other_transforms = [ + CastToTyped(keys=["image", "label"], dtype=(np.float32, np.uint8)), + ToTensord(keys=["image", "label"]), + ] + else: + other_transforms = [ + CastToTyped(keys=["image"], dtype=(np.float32)), + ToTensord(keys=["image"]), + ] + + all_transforms = load_transforms + sample_transforms + other_transforms + return Compose(all_transforms) + + +def resample_image(image, shape, anisotrophy_flag): + resized_channels = [] + if anisotrophy_flag: + for image_c in image: + resized_slices = [] + for i in range(image_c.shape[-1]): + image_c_2d_slice = image_c[:, :, i] + image_c_2d_slice = resize( + image_c_2d_slice, + shape[:-1], + order=3, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + resized_slices.append(image_c_2d_slice) + resized = np.stack(resized_slices, axis=-1) + resized = resize( + resized, + shape, + order=0, + mode="constant", + cval=0, + clip=True, + anti_aliasing=False, + ) + resized_channels.append(resized) + else: + for image_c in image: + resized = resize( + image_c, + shape, + order=3, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + resized_channels.append(resized) + resized = np.stack(resized_channels, axis=0) + return resized + + +def resample_label(label, shape, anisotrophy_flag): + reshaped = np.zeros(shape, dtype=np.uint8) + n_class = np.max(label) + if anisotrophy_flag: + shape_2d = shape[:-1] + depth = label.shape[-1] + reshaped_2d = np.zeros((*shape_2d, depth), dtype=np.uint8) + + for class_ in range(1, int(n_class) + 1): + for depth_ in range(depth): + mask = label[0, :, :, depth_] == class_ + resized_2d = resize( + mask.astype(float), + shape_2d, + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped_2d[:, :, depth_][resized_2d >= 0.5] = class_ + for class_ in range(1, int(n_class) + 1): + mask = reshaped_2d == class_ + resized = resize( + mask.astype(float), + shape, + order=0, + mode="constant", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[resized >= 0.5] = class_ + else: + for class_ in range(1, int(n_class) + 1): + mask = label[0] == class_ + resized = resize( + mask.astype(float), + shape, + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[resized >= 0.5] = class_ + + reshaped = np.expand_dims(reshaped, 0) + return reshaped + + +def recovery_prediction(prediction, shape, anisotrophy_flag): + reshaped = np.zeros(shape, dtype=np.uint8) + n_class = shape[0] + if anisotrophy_flag: + c, h, w = prediction.shape[:-1] + d = shape[-1] + reshaped_d = np.zeros((c, h, w, d), dtype=np.uint8) + for class_ in range(1, n_class): + mask = prediction[class_] == 1 + resized_d = resize( + mask.astype(float), + (h, w, d), + order=0, + mode="constant", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped_d[class_][resized_d >= 0.5] = 1 + + for class_ in range(1, n_class): + for depth_ in range(d): + mask = reshaped_d[class_, :, :, depth_] == 1 + resized_hw = resize( + mask.astype(float), + shape[1:-1], + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[class_, :, :, depth_][resized_hw >= 0.5] = 1 + else: + for class_ in range(1, n_class): + mask = prediction[class_] == 1 + resized = resize( + mask.astype(float), + shape[1:], + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[class_][resized >= 0.5] = 1 + + reshaped = np.expand_dims(reshaped, 0) + return reshaped + + +class PreprocessAnisotropic(MapTransform): + def __init__( + self, + keys, + clip_values, + pixdim, + normalize_values, + model_mode, + ) -> None: + super().__init__(keys) + self.keys = keys + self.low = clip_values[0] + self.high = clip_values[1] + self.target_spacing = pixdim + self.mean = normalize_values[0] + self.std = normalize_values[1] + self.training = False + self.crop_foreg = CropForegroundd(keys=["image", "label"], source_key="image") + self.normalize_intensity = NormalizeIntensity(nonzero=True, channel_wise=True) + if model_mode in ["train"]: + self.training = True + + def calculate_new_shape(self, spacing, shape): + spacing_ratio = np.array(spacing) / np.array(self.target_spacing) + new_shape = (spacing_ratio * np.array(shape)).astype(int).tolist() + return new_shape + + def check_anisotrophy(self, spacing): + def check(spacing): + return np.max(spacing) / np.min(spacing) >= 3 + + return check(spacing) or check(self.target_spacing) + + def __call__(self, data): + # load data + d = dict(data) + image = d["image"] + image_spacings = d["image_meta_dict"]["pixdim"][1:4].tolist() + + if "label" in self.keys: + label = d["label"] + label[label < 0] = 0 + + if self.training: + # only task 04 does not be impacted + cropped_data = self.crop_foreg({"image": image, "label": label}) + image, label = cropped_data["image"], cropped_data["label"] + else: + d["original_shape"] = np.array(image.shape[1:]) + box_start, box_end = generate_spatial_bounding_box(image) + image = SpatialCrop(roi_start=box_start, roi_end=box_end)(image) + d["bbox"] = np.vstack([box_start, box_end]) + d["crop_shape"] = np.array(image.shape[1:]) + + original_shape = image.shape[1:] + # calculate shape + resample_flag = False + anisotrophy_flag = False + if self.target_spacing != image_spacings: + # resample + resample_flag = True + resample_shape = self.calculate_new_shape(image_spacings, original_shape) + anisotrophy_flag = self.check_anisotrophy(image_spacings) + image = resample_image(image, resample_shape, anisotrophy_flag) + if self.training: + label = resample_label(label, resample_shape, anisotrophy_flag) + + d["resample_flag"] = resample_flag + d["anisotrophy_flag"] = anisotrophy_flag + # clip image for CT dataset + if self.low != 0 or self.high != 0: + image = np.clip(image, self.low, self.high) + image = (image - self.mean) / self.std + else: + image = self.normalize_intensity(image.copy()) + + d["image"] = image + + if "label" in self.keys: + d["label"] = label + + return d From a068750b1d6eda61916da7e25170c10db1672cd8 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Fri, 26 Feb 2021 22:24:12 +0800 Subject: [PATCH 05/21] Add comments for the deep supervision changes --- modules/dynunet_pipeline/README.md | 22 -- .../dynunet_pipeline/commands/run_task04.sh | 12 - modules/dynunet_pipeline/create_datalist.py | 91 ----- modules/dynunet_pipeline/create_dataset.py | 73 ---- modules/dynunet_pipeline/create_network.py | 55 --- modules/dynunet_pipeline/evaluator.py | 177 --------- modules/dynunet_pipeline/inferrer.py | 192 ---------- modules/dynunet_pipeline/task_params.py | 90 ----- modules/dynunet_pipeline/train.py | 248 ------------- modules/dynunet_pipeline/trainer.py | 85 ----- modules/dynunet_pipeline/transforms.py | 340 ------------------ modules/dynunet_tutorial.ipynb | 47 +-- 12 files changed, 25 insertions(+), 1407 deletions(-) delete mode 100644 modules/dynunet_pipeline/README.md delete mode 100644 modules/dynunet_pipeline/commands/run_task04.sh delete mode 100644 modules/dynunet_pipeline/create_datalist.py delete mode 100644 modules/dynunet_pipeline/create_dataset.py delete mode 100644 modules/dynunet_pipeline/create_network.py delete mode 100644 modules/dynunet_pipeline/evaluator.py delete mode 100644 modules/dynunet_pipeline/inferrer.py delete mode 100644 modules/dynunet_pipeline/task_params.py delete mode 100644 modules/dynunet_pipeline/train.py delete mode 100644 modules/dynunet_pipeline/trainer.py delete mode 100644 modules/dynunet_pipeline/transforms.py diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md deleted file mode 100644 index c4f8a33ed8..0000000000 --- a/modules/dynunet_pipeline/README.md +++ /dev/null @@ -1,22 +0,0 @@ -# Overview -This pipeline is modified from NNUnet [1,2] which wins the "Medical Segmentation Decathlon Challenge 2018" and open sourced from https://github.com/MIC-DKFZ/nnUNet. - -## Data -The source decathlon datasets can be found from http://medicaldecathlon.com/. - -After getting the dataset, please run `create_datalist.py` to get the datalists (please check the command line arguments first). The default seed can help to get the same 5 folds data splits as NNUnet has, and the created datalist will be in `config/` - -## Training -Please run `train.py` for training. Please modify the command line arguments according -to the actual situation. - -A sample training script is shown in `commands/run_task04.sh`, it runs on task 04 and use -fold 0 for validation. You can use `bash commands/run_task04.sh` to run this script. - -## Validation -Please run `train.py` and set the argument `mode` to `val` for validation. - -# References -[1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. - -[2] Isensee F, Petersen J, Klein A, et al. nnu-net: Self-adapting framework for u-net-based medical image segmentation[J]. arXiv preprint arXiv:1809.10486, 2018. diff --git a/modules/dynunet_pipeline/commands/run_task04.sh b/modules/dynunet_pipeline/commands/run_task04.sh deleted file mode 100644 index fc2b72c7b8..0000000000 --- a/modules/dynunet_pipeline/commands/run_task04.sh +++ /dev/null @@ -1,12 +0,0 @@ -# this task requires a single GPU with at least 6GB memory -lr=1e-1 -# train step 1, with large learning rate - -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 -expr_name baseline -tta_val True - -# train step 2, finetune with small learning rate -# please replace the weight variable into your actual weight - -# lr=1e-3 -# weight=your_output_weightfile.pt -# CUDA_VISIBLE_DEVICES=0 python train_gaussian.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file diff --git a/modules/dynunet_pipeline/create_datalist.py b/modules/dynunet_pipeline/create_datalist.py deleted file mode 100644 index 92203f2c8a..0000000000 --- a/modules/dynunet_pipeline/create_datalist.py +++ /dev/null @@ -1,91 +0,0 @@ -import json -import os -from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser - -import numpy as np -from sklearn.model_selection import KFold - - -def create_datalist( - dataset_input_dir: str, - output_dir: str, - task_id: str, - num_folds: int, - seed: int, -): - task_name = { - "01": "Task01_BrainTumour", - "02": "Task02_Heart", - "03": "Task03_Liver", - "04": "Task04_Hippocampus", - "05": "Task05_Prostate", - "06": "Task06_Lung", - "07": "Task07_Pancreas", - "08": "Task08_HepaticVessel", - "09": "Task09_Spleen", - "10": "Task10_Colon", - } - - dataset_file_path = os.path.join( - dataset_input_dir, task_name[task_id], "dataset.json" - ) - - with open(dataset_file_path, "r") as f: - dataset = json.load(f) - f.close() - - dataset_with_folds = dataset.copy() - - keys = [line["image"].split("/")[-1].split(".")[0] for line in dataset["training"]] - dataset_train_dict = dict(zip(keys, dataset["training"])) - all_keys_sorted = np.sort(keys) - kfold = KFold(n_splits=num_folds, shuffle=True, random_state=seed) - for i, (train_idx, test_idx) in enumerate(kfold.split(all_keys_sorted)): - val_data = [] - train_data = [] - train_keys = np.array(all_keys_sorted)[train_idx] - test_keys = np.array(all_keys_sorted)[test_idx] - for key in test_keys: - val_data.append(dataset_train_dict[key]) - for key in train_keys: - train_data.append(dataset_train_dict[key]) - - dataset_with_folds["validation_fold{}".format(i)] = val_data - dataset_with_folds["train_fold{}".format(i)] = train_data - del dataset - - if not os.path.exists(output_dir): - os.makedirs(output_dir) - - with open( - os.path.join(output_dir, "dataset_task{}.json".format(task_id)), "w" - ) as f: - json.dump(dataset_with_folds, f) - print("data list for {} has been created!".format(task_name[task_id])) - f.close() - - -if __name__ == "__main__": - parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) - - parser.add_argument( - "-input_dir", "--input_dir", type=str, default="/workspace/data/medical/" - ) - parser.add_argument("-output_dir", "--output_dir", type=str, default="config/") - parser.add_argument( - "-task_id", "--task_id", type=str, default="04", help="task 01 to 10" - ) - parser.add_argument( - "-num_folds", "--num_folds", type=int, default=5, help="number of folds" - ) - parser.add_argument("-seed", "--seed", type=int, default=12345, help="seed number") - - args = parser.parse_args() - - create_datalist( - dataset_input_dir=args.input_dir, - output_dir=args.output_dir, - task_id=args.task_id, - num_folds=args.num_folds, - seed=args.seed, - ) diff --git a/modules/dynunet_pipeline/create_dataset.py b/modules/dynunet_pipeline/create_dataset.py deleted file mode 100644 index 5b375d43b8..0000000000 --- a/modules/dynunet_pipeline/create_dataset.py +++ /dev/null @@ -1,73 +0,0 @@ -import os - -from monai.data import ( - CacheDataset, - DataLoader, - load_decathlon_datalist, - load_decathlon_properties, -) - -from task_params import task_name -from transforms import get_task_transforms - - -def get_data(args, batch_size=1, mode="train"): - # get necessary parameters: - fold = args.fold - task_id = args.task_id - root_dir = args.root_dir - datalist_path = args.datalist_path - dataset_path = os.path.join(root_dir, task_name[task_id]) - transform_params = (args.pos_sample_num, args.neg_sample_num, args.num_samples) - - transform = get_task_transforms(mode, task_id, *transform_params) - list_key = "{}_fold{}".format(mode, fold) - datalist_name = "dataset_task{}.json".format(task_id) - - property_keys = [ - "name", - "description", - "reference", - "licence", - "tensorImageSize", - "modality", - "labels", - "numTraining", - "numTest", - ] - - datalist = load_decathlon_datalist( - os.path.join(datalist_path, datalist_name), True, list_key, dataset_path - ) - properties = load_decathlon_properties( - os.path.join(datalist_path, datalist_name), property_keys - ) - if mode == "validation": - val_ds = CacheDataset( - data=datalist, - transform=transform, - num_workers=4, - ) - - val_loader = DataLoader( - val_ds, - batch_size=batch_size, - shuffle=False, - num_workers=args.val_num_workers, - ) - return properties, val_loader - elif mode == "train": - train_ds = CacheDataset( - data=datalist, - transform=transform, - num_workers=8, - cache_rate=args.cache_rate, - ) - train_loader = DataLoader( - train_ds, - batch_size=batch_size, - shuffle=True, - num_workers=args.train_num_workers, - drop_last=True, - ) - return properties, train_loader diff --git a/modules/dynunet_pipeline/create_network.py b/modules/dynunet_pipeline/create_network.py deleted file mode 100644 index 6cdd9df789..0000000000 --- a/modules/dynunet_pipeline/create_network.py +++ /dev/null @@ -1,55 +0,0 @@ -import os - -import torch -from monai.networks.nets import DynUNet - -from task_params import deep_supr_num, patch_size, spacing - - -def get_kernels_strides(task_id): - sizes, spacings = patch_size[task_id], spacing[task_id] - strides, kernels = [], [] - - while True: - spacing_ratio = [sp / min(spacings) for sp in spacings] - stride = [ - 2 if ratio <= 2 and size >= 8 else 1 - for (ratio, size) in zip(spacing_ratio, sizes) - ] - kernel = [3 if ratio <= 2 else 1 for ratio in spacing_ratio] - if all(s == 1 for s in stride): - break - sizes = [i / j for i, j in zip(sizes, stride)] - spacings = [i * j for i, j in zip(spacings, stride)] - kernels.append(kernel) - strides.append(stride) - strides.insert(0, len(spacings) * [1]) - kernels.append(len(spacings) * [3]) - return kernels, strides - - -def get_network(device, properties, task_id, pretrain_path, checkpoint=None): - n_class = len(properties["labels"]) - in_channels = len(properties["modality"]) - kernels, strides = get_kernels_strides(task_id) - - net = DynUNet( - spatial_dims=3, - in_channels=in_channels, - out_channels=n_class, - kernel_size=kernels, - strides=strides, - upsample_kernel_size=strides[1:], - norm_name="instance", - deep_supervision=True, - deep_supr_num=deep_supr_num[task_id], - ).to(device) - - if checkpoint is not None: - pretrain_path = os.path.join(pretrain_path, checkpoint) - if os.path.exists(pretrain_path): - net.load_state_dict(torch.load(pretrain_path)) - print("pretrained checkpoint: {} loaded".format(pretrain_path)) - else: - print("no pretrained checkpoint") - return net diff --git a/modules/dynunet_pipeline/evaluator.py b/modules/dynunet_pipeline/evaluator.py deleted file mode 100644 index 70ef25e7e9..0000000000 --- a/modules/dynunet_pipeline/evaluator.py +++ /dev/null @@ -1,177 +0,0 @@ -from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union - -import torch -import torch.nn as nn -from ignite.engine import Engine -from ignite.metrics import Metric -from monai.engines import SupervisedEvaluator -from monai.engines.utils import CommonKeys as Keys -from monai.engines.utils import IterationEvents, default_prepare_batch -from monai.inferers import Inferer -from monai.networks.utils import eval_mode -from monai.transforms import AsDiscrete, Transform -from torch.utils.data import DataLoader - -from transforms import recovery_prediction - - -class DynUNetEvaluator(SupervisedEvaluator): - """ - This class inherits from SupervisedEvaluator in MONAI, and is used with DynUNet - on Decathlon datasets. - - Args: - device: an object representing the device on which to run. - val_data_loader: Ignite engine use data_loader to run, must be - torch.DataLoader. - network: use the network to run model forward. - n_classes: the number of classes (output channels) for the task. - epoch_length: number of iterations for one epoch, default to - `len(val_data_loader)`. - non_blocking: if True and this copy is between CPU and GPU, the copy may occur asynchronously - with respect to the host. For other cases, this argument has no effect. - prepare_batch: function to parse image and label for current iteration. - iteration_update: the callable function for every iteration, expect to accept `engine` - and `batchdata` as input parameters. if not provided, use `self._iteration()` instead. - inferer: inference method that execute model forward on input data, like: SlidingWindow, etc. - post_transform: execute additional transformation for the model output data. - Typically, several Tensor based transforms composed by `Compose`. - key_val_metric: compute metric when every iteration completed, and save average value to - engine.state.metrics when epoch completed. key_val_metric is the main metric to compare and save the - checkpoint into files. - additional_metrics: more Ignite metrics that also attach to Ignite Engine. - val_handlers: every handler is a set of Ignite Event-Handlers, must have `attach` function, like: - CheckpointHandler, StatsHandler, SegmentationSaver, etc. - amp: whether to enable auto-mixed-precision evaluation, default is False. - tta_val: whether to do the 8 flips (8 = 2 ** 3, where 3 represents the three dimensions) - test time augmentation, default is False. - - """ - - def __init__( - self, - device: torch.device, - val_data_loader: DataLoader, - network: torch.nn.Module, - n_classes: Union[str, int], - epoch_length: Optional[int] = None, - non_blocking: bool = False, - prepare_batch: Callable = default_prepare_batch, - iteration_update: Optional[Callable] = None, - inferer: Optional[Inferer] = None, - post_transform: Optional[Transform] = None, - key_val_metric: Optional[Dict[str, Metric]] = None, - additional_metrics: Optional[Dict[str, Metric]] = None, - val_handlers: Optional[Sequence] = None, - amp: bool = False, - tta_val: bool = False, - ) -> None: - super().__init__( - device=device, - val_data_loader=val_data_loader, - network=network, - epoch_length=epoch_length, - non_blocking=non_blocking, - prepare_batch=prepare_batch, - iteration_update=iteration_update, - inferer=inferer, - post_transform=post_transform, - key_val_metric=key_val_metric, - additional_metrics=additional_metrics, - val_handlers=val_handlers, - amp=amp, - ) - - if not isinstance(n_classes, int): - n_classes = int(n_classes) - self.n_classes = n_classes - self.post_pred = AsDiscrete(argmax=True, to_onehot=True, n_classes=n_classes) - self.post_label = AsDiscrete(to_onehot=True, n_classes=n_classes) - self.tta_val = tta_val - - def _iteration( - self, engine: Engine, batchdata: Dict[str, Any] - ) -> Dict[str, torch.Tensor]: - """ - callback function for the Supervised Evaluation processing logic of 1 iteration in Ignite Engine. - Return below items in a dictionary: - - IMAGE: image Tensor data for model input, already moved to device. - - LABEL: label Tensor data corresponding to the image, already moved to device. - - PRED: prediction result of model. - - Args: - engine: Ignite Engine, it can be a trainer, validator or evaluator. - batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. - - Raises: - ValueError: When ``batchdata`` is None. - - """ - if batchdata is None: - raise ValueError("Must provide batch data for current iteration.") - batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) - if len(batch) == 2: - inputs, targets = batch - args: Tuple = () - kwargs: Dict = {} - else: - inputs, targets, args, kwargs = batch - - targets = targets.cpu() - - def _compute_pred(): - ct = 1.0 - pred = self.inferer(inputs, self.network, *args, **kwargs).cpu() - pred = nn.functional.softmax(pred, dim=1) - if not self.tta_val: - return pred - else: - for dims in [[2], [3], [4], (2, 3), (2, 4), (3, 4), (2, 3, 4)]: - flip_inputs = torch.flip(inputs, dims=dims) - flip_pred = torch.flip( - self.inferer(flip_inputs, self.network).cpu(), dims=dims - ) - flip_pred = nn.functional.softmax(flip_pred, dim=1) - del flip_inputs - pred += flip_pred - del flip_pred - ct += 1 - return pred / ct - - # execute forward computation - with eval_mode(self.network): - if self.amp: - with torch.cuda.amp.autocast(): - predictions = _compute_pred() - else: - predictions = _compute_pred() - - inputs = inputs.cpu() - predictions = self.post_pred(predictions) - targets = self.post_label(targets) - - resample_flag = batchdata["resample_flag"] - anisotrophy_flag = batchdata["anisotrophy_flag"] - crop_shape = batchdata["crop_shape"][0].tolist() - original_shape = batchdata["original_shape"][0].tolist() - if resample_flag: - # convert the prediction back to the original (after cropped) shape - predictions = recovery_prediction( - predictions.numpy()[0], [self.n_classes, *crop_shape], anisotrophy_flag - ) - predictions = torch.tensor(predictions) - - # put iteration outputs into engine.state - engine.state.output = output = {Keys.IMAGE: inputs, Keys.LABEL: targets} - output[Keys.PRED] = torch.zeros([1, self.n_classes, *original_shape]) - # pad the prediction back to the original shape - box_start, box_end = batchdata["bbox"][0] - h_start, w_start, d_start = box_start - h_end, w_end, d_end = box_end - output[Keys.PRED][ - 0, :, h_start:h_end, w_start:w_end, d_start:d_end - ] = predictions - del predictions - - engine.fire_event(IterationEvents.FORWARD_COMPLETED) - return output diff --git a/modules/dynunet_pipeline/inferrer.py b/modules/dynunet_pipeline/inferrer.py deleted file mode 100644 index b9d8ceeb0f..0000000000 --- a/modules/dynunet_pipeline/inferrer.py +++ /dev/null @@ -1,192 +0,0 @@ -import os -from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union - -import nibabel as nib -import numpy as np -import torch -import torch.nn as nn -from ignite.engine import Engine -from ignite.metrics import Metric -from monai.data.utils import to_affine_nd -from monai.engines import SupervisedEvaluator -from monai.engines.utils import IterationEvents, default_prepare_batch -from monai.inferers import Inferer -from monai.networks.utils import eval_mode -from monai.transforms import AsDiscrete, Transform -from torch.utils.data import DataLoader - -from transforms import recovery_prediction - - -class DynUNetInferrer(SupervisedEvaluator): - """ - This class inherits from SupervisedEvaluator in MONAI, and is used with DynUNet - on Decathlon datasets. - - Args: - device: an object representing the device on which to run. - val_data_loader: Ignite engine use data_loader to run, must be - torch.DataLoader. - network: use the network to run model forward. - output_dir: the path to save inferred outputs. - n_classes: the number of classes (output channels) for the task. - epoch_length: number of iterations for one epoch, default to - `len(val_data_loader)`. - non_blocking: if True and this copy is between CPU and GPU, the copy may occur asynchronously - with respect to the host. For other cases, this argument has no effect. - prepare_batch: function to parse image and label for current iteration. - iteration_update: the callable function for every iteration, expect to accept `engine` - and `batchdata` as input parameters. if not provided, use `self._iteration()` instead. - inferer: inference method that execute model forward on input data, like: SlidingWindow, etc. - post_transform: execute additional transformation for the model output data. - Typically, several Tensor based transforms composed by `Compose`. - key_val_metric: compute metric when every iteration completed, and save average value to - engine.state.metrics when epoch completed. key_val_metric is the main metric to compare and save the - checkpoint into files. - additional_metrics: more Ignite metrics that also attach to Ignite Engine. - val_handlers: every handler is a set of Ignite Event-Handlers, must have `attach` function, like: - CheckpointHandler, StatsHandler, SegmentationSaver, etc. - amp: whether to enable auto-mixed-precision evaluation, default is False. - tta_val: whether to do the 8 flips (8 = 2 ** 3, where 3 represents the three dimensions) - test time augmentation, default is False. - - """ - - def __init__( - self, - device: torch.device, - val_data_loader: DataLoader, - network: torch.nn.Module, - output_dir: str, - n_classes: Union[str, int], - epoch_length: Optional[int] = None, - non_blocking: bool = False, - prepare_batch: Callable = default_prepare_batch, - iteration_update: Optional[Callable] = None, - inferer: Optional[Inferer] = None, - post_transform: Optional[Transform] = None, - key_val_metric: Optional[Dict[str, Metric]] = None, - additional_metrics: Optional[Dict[str, Metric]] = None, - val_handlers: Optional[Sequence] = None, - amp: bool = False, - tta_val: bool = False, - ) -> None: - super().__init__( - device=device, - val_data_loader=val_data_loader, - network=network, - epoch_length=epoch_length, - non_blocking=non_blocking, - prepare_batch=prepare_batch, - iteration_update=iteration_update, - inferer=inferer, - post_transform=post_transform, - key_val_metric=key_val_metric, - additional_metrics=additional_metrics, - val_handlers=val_handlers, - amp=amp, - ) - - if not isinstance(n_classes, int): - n_classes = int(n_classes) - self.post_pred = AsDiscrete(argmax=True, to_onehot=True, n_classes=n_classes) - self.output_dir = output_dir - self.tta_val = tta_val - self.n_classes = n_classes - - def _iteration( - self, engine: Engine, batchdata: Dict[str, Any] - ) -> Dict[str, torch.Tensor]: - """ - callback function for the Supervised Evaluation processing logic of 1 iteration in Ignite Engine. - Return below item in a dictionary: - - PRED: prediction result of model. - - Args: - engine: Ignite Engine, it can be a trainer, validator or evaluator. - batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. - - Raises: - ValueError: When ``batchdata`` is None. - - """ - if batchdata is None: - raise ValueError("Must provide batch data for current iteration.") - batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) - if len(batch) == 2: - inputs, _ = batch - args: Tuple = () - kwargs: Dict = {} - else: - inputs, _, args, kwargs = batch - - def _compute_pred(): - ct = 1.0 - pred = self.inferer(inputs, self.network, *args, **kwargs).cpu() - pred = nn.functional.softmax(pred, dim=1) - if not self.tta_val: - return pred - else: - for dims in [[2], [3], [4], (2, 3), (2, 4), (3, 4), (2, 3, 4)]: - flip_inputs = torch.flip(inputs, dims=dims) - flip_pred = torch.flip( - self.inferer(flip_inputs, self.network).cpu(), dims=dims - ) - flip_pred = nn.functional.softmax(flip_pred, dim=1) - del flip_inputs - pred += flip_pred - del flip_pred - ct += 1 - return pred / ct - - # execute forward computation - with eval_mode(self.network): - if self.amp: - with torch.cuda.amp.autocast(): - predictions = _compute_pred() - else: - predictions = _compute_pred() - - inputs = inputs.cpu() - predictions = self.post_pred(predictions) - - target_affine = batchdata["image_meta_dict"]["affine"].numpy()[0] - resample_flag = batchdata["resample_flag"] - anisotrophy_flag = batchdata["anisotrophy_flag"] - crop_shape = batchdata["crop_shape"][0].tolist() - original_shape = batchdata["original_shape"][0].tolist() - - if resample_flag: - # convert the prediction back to the original (after cropped) shape - predictions = recovery_prediction( - predictions.numpy()[0], [self.n_classes, *crop_shape], anisotrophy_flag - ) - else: - predictions = predictions.numpy() - - predictions = predictions[0] - predictions = np.argmax(predictions, axis=0) - - # pad the prediction back to the original shape - predictions_org = np.zeros([*original_shape]) - box_start, box_end = batchdata["bbox"][0] - h_start, w_start, d_start = box_start - h_end, w_end, d_end = box_end - predictions_org[h_start:h_end, w_start:w_end, d_start:d_end] = predictions - del predictions - - filename = batchdata["image_meta_dict"]["filename_or_obj"][0].split("/")[-1] - - print( - "save {} with shape: {}, mean values: {}".format( - filename, predictions_org.shape, predictions_org.mean() - ) - ) - results_img = nib.Nifti1Image( - predictions_org.astype(np.uint8), to_affine_nd(3, target_affine) - ) - del predictions_org - nib.save(results_img, os.path.join(self.output_dir, filename)) - - engine.fire_event(IterationEvents.FORWARD_COMPLETED) - return {"pred": results_img} diff --git a/modules/dynunet_pipeline/task_params.py b/modules/dynunet_pipeline/task_params.py deleted file mode 100644 index 6e23813384..0000000000 --- a/modules/dynunet_pipeline/task_params.py +++ /dev/null @@ -1,90 +0,0 @@ -task_name = { - "01": "Task01_BrainTumour", - "02": "Task02_Heart", - "03": "Task03_Liver", - "04": "Task04_Hippocampus", - "05": "Task05_Prostate", - "06": "Task06_Lung", - "07": "Task07_Pancreas", - "08": "Task08_HepaticVessel", - "09": "Task09_Spleen", - "10": "Task10_Colon", -} - -patch_size = { - "01": [128, 128, 128], - "02": [160, 192, 80], - "03": [128, 128, 128], - "04": [40, 56, 40], - "05": [320, 256, 20], - "06": [192, 160, 80], - "07": [224, 224, 40], - "08": [192, 192, 64], - "09": [192, 160, 64], - "10": [192, 160, 56], -} - -spacing = { - "01": [1.0, 1.0, 1.0], - "02": [1.25, 1.25, 1.37], - "03": [0.77, 0.77, 1], - "04": [1.0, 1.0, 1.0], - "05": [0.62, 0.62, 3.6], - "06": [0.79, 0.79, 1.24], - "07": [0.8, 0.8, 2.5], - "08": [0.8, 0.8, 1.5], - "09": [0.79, 0.79, 1.6], - "10": [0.78, 0.78, 3], -} - -clip_values = { - "01": [0, 0], - "02": [0, 0], - "03": [-17, 201], - "04": [0, 0], - "05": [0, 0], - "06": [-1024, 325], - "07": [-96, 215], - "08": [-3, 243], - "09": [-41, 176], - "10": [-30, 165.82], -} - -normalize_values = { - "01": [0, 0], - "02": [0, 0], - "03": [99.40, 39.36], - "04": [0, 0], - "05": [0, 0], - "06": [-158.58, 324.7], - "07": [77.99, 75.4], - "08": [104.37, 52.62], - "09": [99.29, 39.47], - "10": [62.18, 32.65], -} - -data_loader_params = { - "01": {"batch_size": 8}, - "02": {"batch_size": 2}, - "03": {"batch_size": 8}, - "04": {"batch_size": 9}, - "05": {"batch_size": 2}, - "06": {"batch_size": 2}, - "07": {"batch_size": 2}, - "08": {"batch_size": 2}, - "09": {"batch_size": 2}, - "10": {"batch_size": 2}, -} - -deep_supr_num = { - "01": 3, - "02": 3, - "03": 3, - "04": 1, - "05": 4, - "06": 3, - "07": 3, - "08": 3, - "09": 3, - "10": 3, -} diff --git a/modules/dynunet_pipeline/train.py b/modules/dynunet_pipeline/train.py deleted file mode 100644 index 60655441f9..0000000000 --- a/modules/dynunet_pipeline/train.py +++ /dev/null @@ -1,248 +0,0 @@ -import logging -import os -from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser - -import torch -from monai.handlers import (CheckpointSaver, LrScheduleHandler, MeanDice, - StatsHandler, ValidationHandler) -from monai.inferers import SimpleInferer, SlidingWindowInferer -from monai.losses import DiceCELoss - -from task_params import data_loader_params, patch_size -from create_dataset import get_data -from create_network import get_network -from evaluator import DynUNetEvaluator -from trainer import DynUNetTrainer - - -def validation(args): - # load hyper parameters - task_id = args.task_id - sw_batch_size = args.sw_batch_size - tta_val = args.tta_val - window_mode = args.window_mode - eval_overlap = args.eval_overlap - amp = args.amp - - properties, val_loader = get_data(args, mode="validation") - n_classes = len(properties["labels"]) - # produce the network - checkpoint = args.checkpoint - val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, args.fold, args.expr_name) - device = torch.device("cuda:0") - net = get_network(device, properties, task_id, val_output_dir, checkpoint) - - net.eval() - - evaluator = DynUNetEvaluator( - device=device, - val_data_loader=val_loader, - network=net, - n_classes=n_classes, - inferer=SlidingWindowInferer( - roi_size=patch_size[task_id], - sw_batch_size=sw_batch_size, - overlap=eval_overlap, - mode=window_mode, - ), - post_transform=None, - key_val_metric={ - "val_mean_dice": MeanDice( - include_background=False, - output_transform=lambda x: (x["pred"], x["label"]), - ) - }, - additional_metrics=None, - amp=amp, - tta_val=tta_val, - ) - - evaluator.run() - print(evaluator.state.metrics) - results = evaluator.state.metric_details["val_mean_dice"] - if n_classes > 2: - for i in range(n_classes - 1): - print("mean dice for label {} is {}".format(i+1, results[:, i].mean())) - - -def train(args): - # load hyper parameters - task_id = args.task_id - fold = args.fold - val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, fold, args.expr_name) - log_filename = "nnunet_task{}_fold{}.log".format(task_id, fold) - log_filename = os.path.join(val_output_dir, log_filename) - interval = args.interval - learning_rate = args.learning_rate - max_epochs = args.max_epochs - amp_flag = args.amp - lr_decay_flag = args.lr_decay - sw_batch_size = args.sw_batch_size - tta_val = args.tta_val - batch_dice = args.batch_dice - window_mode = args.window_mode - eval_overlap = args.eval_overlap - - # transforms - train_batch_size = data_loader_params[task_id]["batch_size"] - - properties, val_loader = get_data(args, mode="validation") - _, train_loader = get_data(args, batch_size=train_batch_size, mode="train") - - # produce the network - device = torch.device("cuda:0") - checkpoint = args.checkpoint - net = get_network(device, properties, task_id, val_output_dir, checkpoint) - - optimizer = torch.optim.SGD( - net.parameters(), - lr=learning_rate, - momentum=0.99, - weight_decay=3e-5, - nesterov=True, - ) - - scheduler = torch.optim.lr_scheduler.LambdaLR( - optimizer, lr_lambda=lambda epoch: (1 - epoch / max_epochs) ** 0.9 - ) - # produce evaluator - val_handlers = [ - StatsHandler(output_transform=lambda x: None), - CheckpointSaver( - save_dir=val_output_dir, save_dict={"net": net}, save_key_metric=True - ), - ] - - evaluator = DynUNetEvaluator( - device=device, - val_data_loader=val_loader, - network=net, - n_classes=len(properties["labels"]), - inferer=SlidingWindowInferer( - roi_size=patch_size[task_id], - sw_batch_size=sw_batch_size, - overlap=eval_overlap, - mode=window_mode, - ), - post_transform=None, - key_val_metric={ - "val_mean_dice": MeanDice( - include_background=False, - output_transform=lambda x: (x["pred"], x["label"]), - ) - }, - val_handlers=val_handlers, - amp=amp_flag, - tta_val=tta_val, - ) - # produce trainer - loss = DiceCELoss(to_onehot_y=True, softmax=True, batch=batch_dice) - train_handlers = [] - if lr_decay_flag: - train_handlers += [LrScheduleHandler(lr_scheduler=scheduler, print_lr=True)] - - train_handlers += [ - ValidationHandler(validator=evaluator, interval=interval, epoch_level=True), - StatsHandler(tag_name="train_loss", output_transform=lambda x: x["loss"]), - ] - - trainer = DynUNetTrainer( - device=device, - max_epochs=max_epochs, - train_data_loader=train_loader, - network=net, - optimizer=optimizer, - loss_function=loss, - inferer=SimpleInferer(), - post_transform=None, - key_train_metric=None, - train_handlers=train_handlers, - amp=amp_flag, - ) - - # run - logger = logging.getLogger() - - formatter = logging.Formatter( - "%(asctime)s - %(name)s - %(levelname)s - %(message)s" - ) - - # Setup file handler - fhandler = logging.FileHandler(log_filename) - fhandler.setLevel(logging.INFO) - fhandler.setFormatter(formatter) - - # Configure stream handler for the cells - chandler = logging.StreamHandler() - chandler.setLevel(logging.INFO) - chandler.setFormatter(formatter) - - # Add both handlers - logger.addHandler(fhandler) - logger.addHandler(chandler) - logger.setLevel(logging.INFO) - - # Show the handlers - logger.handlers - - # Log Something - logger.info("Test info") - logger.debug("Test debug") - - trainer.run() - - -if __name__ == "__main__": - parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) - parser.add_argument("-fold", "--fold", type=int, default=0, help="0-5") - parser.add_argument( - "-task_id", "--task_id", type=str, default="02", help="task 01 to 10" - ) - parser.add_argument( - "-root_dir", - "--root_dir", - type=str, - default="/workspace/data/medical/", - help="dataset path", - ) - parser.add_argument("-expr_name", "--expr_name", type=str, default="expr", help="the suffix of the experiment's folder") - parser.add_argument( - "-datalist_path", "--datalist_path", type=str, default="config/", - ) - parser.add_argument( - "-train_num_workers", "--train_num_workers", type=int, default=4, help="the num_workers parameter of training dataloader." - ) - parser.add_argument("-val_num_workers", "--val_num_workers", type=int, default=1, help="the num_workers parameter of validation dataloader.") - parser.add_argument("-interval", "--interval", type=int, default=5, help="the validation interval under epoch level.") - parser.add_argument("-eval_overlap", "--eval_overlap", type=float, default=0.5, help="the overlap parameter of SlidingWindowInferer.") - parser.add_argument("-sw_batch_size", "--sw_batch_size", type=int, default=4, help="the sw_batch_size parameter of SlidingWindowInferer.") - parser.add_argument( - "-window_mode", - "--window_mode", - type=str, - default="gaussian", - choices=["constant", "gaussian"], - help="the mode parameter for SlidingWindowInferer." - ) - parser.add_argument("-num_samples", "--num_samples", type=int, default=3, help="the num_samples parameter of RandCropByPosNegLabeld.") - parser.add_argument("-pos_sample_num", "--pos_sample_num", type=int, default=1, help="the pos parameter of RandCropByPosNegLabeld.") - parser.add_argument("-neg_sample_num", "--neg_sample_num", type=int, default=1, help="the neg parameter of RandCropByPosNegLabeld.") - parser.add_argument("-cache_rate", "--cache_rate", type=float, default=1.0, help="the cache_rate parameter of CacheDataset.") - parser.add_argument("-learning_rate", "--learning_rate", type=float, default=1e-2) - parser.add_argument("-max_epochs", "--max_epochs", type=int, default=1000, help="number of epochs of training.") - parser.add_argument( - "-mode", "--mode", type=str, default="train", choices=["train", "val"] - ) - parser.add_argument("-checkpoint", "--checkpoint", type=str, default=None, help="the filename of weights.") - parser.add_argument("-amp", "--amp", type=bool, default=False, help="whether to use automatic mixed precision.") - parser.add_argument("-lr_decay", "--lr_decay", type=bool, default=False, help="whether to use learning rate decay.") - parser.add_argument("-tta_val", "--tta_val", type=bool, default=False, help="whether to use test time augmentation.") - parser.add_argument("-batch_dice", "--batch_dice", type=bool, default=False, help="the batch parameter of DiceCELoss.") - - args = parser.parse_args() - - if args.mode == "train": - train(args) - elif args.mode == "val": - validation(args) - \ No newline at end of file diff --git a/modules/dynunet_pipeline/trainer.py b/modules/dynunet_pipeline/trainer.py deleted file mode 100644 index ac45ae994a..0000000000 --- a/modules/dynunet_pipeline/trainer.py +++ /dev/null @@ -1,85 +0,0 @@ -from typing import Any, Dict, Tuple - -import torch -from ignite.engine import Engine -from monai.engines import SupervisedTrainer -from monai.engines.utils import CommonKeys as Keys -from monai.engines.utils import IterationEvents -from torch.nn.parallel import DistributedDataParallel - - -class DynUNetTrainer(SupervisedTrainer): - """ - This class inherits from SupervisedTrainer in MONAI, and is used with DynUNet - on Decathlon datasets. - - """ - - def _iteration(self, engine: Engine, batchdata: Dict[str, Any]): - """ - Callback function for the Supervised Training processing logic of 1 iteration in Ignite Engine. - Return below items in a dictionary: - - IMAGE: image Tensor data for model input, already moved to device. - - LABEL: label Tensor data corresponding to the image, already moved to device. - - PRED: prediction result of model. - - LOSS: loss value computed by loss function. - - Args: - engine: Ignite Engine, it can be a trainer, validator or evaluator. - batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. - - Raises: - ValueError: When ``batchdata`` is None. - - """ - if batchdata is None: - raise ValueError("Must provide batch data for current iteration.") - batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) - if len(batch) == 2: - inputs, targets = batch - args: Tuple = () - kwargs: Dict = {} - else: - inputs, targets, args, kwargs = batch - # put iteration outputs into engine.state - engine.state.output = output = {Keys.IMAGE: inputs, Keys.LABEL: targets} - - def _compute_pred_loss(): - preds = self.inferer(inputs, self.network, *args, **kwargs) - if len(preds.size()) - len(targets.size()) == 1: - # deep supervision mode, need to unbind feature maps first. - preds = torch.unbind(preds, dim=1) - output[Keys.PRED] = preds - del preds - engine.fire_event(IterationEvents.FORWARD_COMPLETED) - output[Keys.LOSS] = sum( - 0.5 ** i * self.loss_function.forward(p, targets) - for i, p in enumerate(output[Keys.PRED]) - ) - engine.fire_event(IterationEvents.LOSS_COMPLETED) - - self.network.train() - self.optimizer.zero_grad() - if self.amp and self.scaler is not None: - with torch.cuda.amp.autocast(): - _compute_pred_loss() - self.scaler.scale(output[Keys.LOSS]).backward() - self.scaler.unscale_(self.optimizer) - if isinstance(self.network, DistributedDataParallel): - torch.nn.utils.clip_grad_norm_(self.network.module.parameters(), 12) - else: - torch.nn.utils.clip_grad_norm_(self.network.parameters(), 12) - self.scaler.step(self.optimizer) - self.scaler.update() - else: - _compute_pred_loss() - output[Keys.LOSS].backward() - engine.fire_event(IterationEvents.BACKWARD_COMPLETED) - if isinstance(self.network, DistributedDataParallel): - torch.nn.utils.clip_grad_norm_(self.network.module.parameters(), 12) - else: - torch.nn.utils.clip_grad_norm_(self.network.parameters(), 12) - self.optimizer.step() - engine.fire_event(IterationEvents.OPTIMIZER_COMPLETED) - - return output diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py deleted file mode 100644 index 34f26a80d7..0000000000 --- a/modules/dynunet_pipeline/transforms.py +++ /dev/null @@ -1,340 +0,0 @@ -import numpy as np -from monai.transforms import ( - AddChanneld, - AsChannelFirstd, - CastToTyped, - Compose, - CropForegroundd, - LoadImaged, - NormalizeIntensity, - RandCropByPosNegLabeld, - RandFlipd, - RandGaussianNoised, - RandGaussianSmoothd, - RandScaleIntensityd, - RandZoomd, - SpatialCrop, - SpatialPadd, - ToTensord, -) -from monai.transforms.compose import MapTransform -from monai.transforms.utils import generate_spatial_bounding_box -from skimage.transform import resize - -from task_params import clip_values, normalize_values, patch_size, spacing - - -def get_task_transforms(mode, task_id, pos_sample_num, neg_sample_num, num_samples): - - # 1. loading for different formats - if mode != "test": - load_keys = ["image", "label"] - else: - load_keys = ["image"] - - if task_id in ["01", "05"]: - load_transforms = [ - LoadImaged(keys=load_keys), - AsChannelFirstd(keys="image"), - ] - if mode != "test": - load_transforms.append(AddChanneld(keys=["label"])) - else: - load_transforms = [ - LoadImaged(keys=load_keys), - AddChanneld(keys=load_keys), - ] - # 2. sampling - if mode != "test": - sample_keys = ["image", "label"] - else: - sample_keys = ["image"] - sample_transforms = [ - PreprocessAnisotropic( - keys=sample_keys, - clip_values=clip_values[task_id], - pixdim=spacing[task_id], - normalize_values=normalize_values[task_id], - model_mode=mode, - ), - ] - # 3. spatial transforms - if mode == "train": - other_transforms = [ - SpatialPadd(keys=["image", "label"], spatial_size=patch_size[task_id]), - RandCropByPosNegLabeld( - keys=["image", "label"], - label_key="label", - spatial_size=patch_size[task_id], - pos=pos_sample_num, - neg=neg_sample_num, - num_samples=num_samples, - image_key="image", - image_threshold=0, - ), - RandZoomd( - keys=["image", "label"], - min_zoom=0.9, - max_zoom=1.2, - mode=("trilinear", "nearest"), - align_corners=(True, None), - prob=0.15, - ), - RandGaussianNoised(keys=["image"], std=0.01, prob=0.15), - RandGaussianSmoothd( - keys=["image"], - sigma_x=(0.5, 1.15), - sigma_y=(0.5, 1.15), - sigma_z=(0.5, 1.15), - prob=0.15, - ), - RandScaleIntensityd(keys=["image"], factors=0.3, prob=0.15), - RandFlipd(["image", "label"], spatial_axis=[0], prob=0.5), - RandFlipd(["image", "label"], spatial_axis=[1], prob=0.5), - RandFlipd(["image", "label"], spatial_axis=[2], prob=0.5), - CastToTyped(keys=["image", "label"], dtype=(np.float32, np.uint8)), - ToTensord(keys=["image", "label"]), - ] - elif mode == "validation": - other_transforms = [ - CastToTyped(keys=["image", "label"], dtype=(np.float32, np.uint8)), - ToTensord(keys=["image", "label"]), - ] - else: - other_transforms = [ - CastToTyped(keys=["image"], dtype=(np.float32)), - ToTensord(keys=["image"]), - ] - - all_transforms = load_transforms + sample_transforms + other_transforms - return Compose(all_transforms) - - -def resample_image(image, shape, anisotrophy_flag): - resized_channels = [] - if anisotrophy_flag: - for image_c in image: - resized_slices = [] - for i in range(image_c.shape[-1]): - image_c_2d_slice = image_c[:, :, i] - image_c_2d_slice = resize( - image_c_2d_slice, - shape[:-1], - order=3, - mode="edge", - cval=0, - clip=True, - anti_aliasing=False, - ) - resized_slices.append(image_c_2d_slice) - resized = np.stack(resized_slices, axis=-1) - resized = resize( - resized, - shape, - order=0, - mode="constant", - cval=0, - clip=True, - anti_aliasing=False, - ) - resized_channels.append(resized) - else: - for image_c in image: - resized = resize( - image_c, - shape, - order=3, - mode="edge", - cval=0, - clip=True, - anti_aliasing=False, - ) - resized_channels.append(resized) - resized = np.stack(resized_channels, axis=0) - return resized - - -def resample_label(label, shape, anisotrophy_flag): - reshaped = np.zeros(shape, dtype=np.uint8) - n_class = np.max(label) - if anisotrophy_flag: - shape_2d = shape[:-1] - depth = label.shape[-1] - reshaped_2d = np.zeros((*shape_2d, depth), dtype=np.uint8) - - for class_ in range(1, int(n_class) + 1): - for depth_ in range(depth): - mask = label[0, :, :, depth_] == class_ - resized_2d = resize( - mask.astype(float), - shape_2d, - order=1, - mode="edge", - cval=0, - clip=True, - anti_aliasing=False, - ) - reshaped_2d[:, :, depth_][resized_2d >= 0.5] = class_ - for class_ in range(1, int(n_class) + 1): - mask = reshaped_2d == class_ - resized = resize( - mask.astype(float), - shape, - order=0, - mode="constant", - cval=0, - clip=True, - anti_aliasing=False, - ) - reshaped[resized >= 0.5] = class_ - else: - for class_ in range(1, int(n_class) + 1): - mask = label[0] == class_ - resized = resize( - mask.astype(float), - shape, - order=1, - mode="edge", - cval=0, - clip=True, - anti_aliasing=False, - ) - reshaped[resized >= 0.5] = class_ - - reshaped = np.expand_dims(reshaped, 0) - return reshaped - - -def recovery_prediction(prediction, shape, anisotrophy_flag): - reshaped = np.zeros(shape, dtype=np.uint8) - n_class = shape[0] - if anisotrophy_flag: - c, h, w = prediction.shape[:-1] - d = shape[-1] - reshaped_d = np.zeros((c, h, w, d), dtype=np.uint8) - for class_ in range(1, n_class): - mask = prediction[class_] == 1 - resized_d = resize( - mask.astype(float), - (h, w, d), - order=0, - mode="constant", - cval=0, - clip=True, - anti_aliasing=False, - ) - reshaped_d[class_][resized_d >= 0.5] = 1 - - for class_ in range(1, n_class): - for depth_ in range(d): - mask = reshaped_d[class_, :, :, depth_] == 1 - resized_hw = resize( - mask.astype(float), - shape[1:-1], - order=1, - mode="edge", - cval=0, - clip=True, - anti_aliasing=False, - ) - reshaped[class_, :, :, depth_][resized_hw >= 0.5] = 1 - else: - for class_ in range(1, n_class): - mask = prediction[class_] == 1 - resized = resize( - mask.astype(float), - shape[1:], - order=1, - mode="edge", - cval=0, - clip=True, - anti_aliasing=False, - ) - reshaped[class_][resized >= 0.5] = 1 - - reshaped = np.expand_dims(reshaped, 0) - return reshaped - - -class PreprocessAnisotropic(MapTransform): - def __init__( - self, - keys, - clip_values, - pixdim, - normalize_values, - model_mode, - ) -> None: - super().__init__(keys) - self.keys = keys - self.low = clip_values[0] - self.high = clip_values[1] - self.target_spacing = pixdim - self.mean = normalize_values[0] - self.std = normalize_values[1] - self.training = False - self.crop_foreg = CropForegroundd(keys=["image", "label"], source_key="image") - self.normalize_intensity = NormalizeIntensity(nonzero=True, channel_wise=True) - if model_mode in ["train"]: - self.training = True - - def calculate_new_shape(self, spacing, shape): - spacing_ratio = np.array(spacing) / np.array(self.target_spacing) - new_shape = (spacing_ratio * np.array(shape)).astype(int).tolist() - return new_shape - - def check_anisotrophy(self, spacing): - def check(spacing): - return np.max(spacing) / np.min(spacing) >= 3 - - return check(spacing) or check(self.target_spacing) - - def __call__(self, data): - # load data - d = dict(data) - image = d["image"] - image_spacings = d["image_meta_dict"]["pixdim"][1:4].tolist() - - if "label" in self.keys: - label = d["label"] - label[label < 0] = 0 - - if self.training: - # only task 04 does not be impacted - cropped_data = self.crop_foreg({"image": image, "label": label}) - image, label = cropped_data["image"], cropped_data["label"] - else: - d["original_shape"] = np.array(image.shape[1:]) - box_start, box_end = generate_spatial_bounding_box(image) - image = SpatialCrop(roi_start=box_start, roi_end=box_end)(image) - d["bbox"] = np.vstack([box_start, box_end]) - d["crop_shape"] = np.array(image.shape[1:]) - - original_shape = image.shape[1:] - # calculate shape - resample_flag = False - anisotrophy_flag = False - if self.target_spacing != image_spacings: - # resample - resample_flag = True - resample_shape = self.calculate_new_shape(image_spacings, original_shape) - anisotrophy_flag = self.check_anisotrophy(image_spacings) - image = resample_image(image, resample_shape, anisotrophy_flag) - if self.training: - label = resample_label(label, resample_shape, anisotrophy_flag) - - d["resample_flag"] = resample_flag - d["anisotrophy_flag"] = anisotrophy_flag - # clip image for CT dataset - if self.low != 0 or self.high != 0: - image = np.clip(image, self.low, self.high) - image = (image - self.mean) / self.std - else: - image = self.normalize_intensity(image.copy()) - - d["image"] = image - - if "label" in self.keys: - d["label"] = label - - return d diff --git a/modules/dynunet_tutorial.ipynb b/modules/dynunet_tutorial.ipynb index 2f91672fea..a22d57a14f 100644 --- a/modules/dynunet_tutorial.ipynb +++ b/modules/dynunet_tutorial.ipynb @@ -60,11 +60,11 @@ "name": "stdout", "output_type": "stream", "text": [ - "MONAI version: 0+untagged.1.g19a9f05.dirty\n", + "MONAI version: 0.4.0+86.gadb2f7f.dirty\n", "Numpy version: 1.19.1\n", - "Pytorch version: 1.7.0a0+7036e91\n", + "Pytorch version: 1.7.0a0+8deb4fe\n", "MONAI flags: HAS_EXT = True, USE_COMPILED = False\n", - "MONAI rev id: 19a9f0554a9d641716162097d02ec8944c67e0a1\n", + "MONAI rev id: adb2f7fa7a0f9cb519614f6ec6f3a7f43601d9c9\n", "\n", "Optional dependencies:\n", "Pytorch Ignite version: 0.4.2\n", @@ -75,9 +75,9 @@ "gdown version: 3.12.2\n", "TorchVision version: 0.8.0a0\n", "ITK version: 5.1.2\n", - "tqdm version: 4.56.0\n", - "lmdb version: 1.0.0\n", - "psutil version: 5.7.2\n", + "tqdm version: 4.56.2\n", + "lmdb version: 0.99\n", + "psutil version: 5.7.0\n", "\n", "For details about installing the optional dependencies, please visit:\n", " https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n", @@ -242,7 +242,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -320,15 +320,15 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "Loading dataset: 100%|██████████| 208/208 [00:01<00:00, 146.24it/s]\n", - "Loading dataset: 100%|██████████| 52/52 [00:00<00:00, 144.76it/s]\n" + "Loading dataset: 100%|██████████| 208/208 [00:01<00:00, 145.76it/s]\n", + "Loading dataset: 100%|██████████| 52/52 [00:00<00:00, 144.63it/s]\n" ] } ], @@ -363,12 +363,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] @@ -413,7 +413,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -472,7 +472,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -555,7 +555,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -577,12 +577,15 @@ " )\n", "\n", " def _compute_loss(preds, label):\n", - " preds = torch.unbind(preds, dim=1)\n", + " if len(preds.size()) - len(targets.size()) == 1:\n", + " # In deep supervision mode, The shape of the preds is\n", + " # in the form of (Batch, deep_supr_num, C, H, W, D),\n", + " # thus they should be unbinded into a list of feature\n", + " # maps each has the shape (Batch, C, H, W, D)\n", + " preds = torch.unbind(preds, dim=1)\n", " return sum(\n", - " [\n", - " 0.5 ** i * self.loss_function.forward(p, label)\n", - " for i, p in enumerate(preds)\n", - " ]\n", + " 0.5 ** i * self.loss_function.forward(p, label)\n", + " for i, p in enumerate(preds)\n", " )\n", "\n", " self.network.train()\n", @@ -631,7 +634,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ From f447eb6dbf021deaa89a5f0488048861c65ac4dd Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Fri, 26 Feb 2021 22:41:48 +0800 Subject: [PATCH 06/21] Add new pipeline of DynUNet for Decathlon tasks --- modules/dynunet_pipeline/README.md | 22 ++ .../dynunet_pipeline/commands/run_task04.sh | 12 + modules/dynunet_pipeline/create_datalist.py | 91 +++++ modules/dynunet_pipeline/create_dataset.py | 73 ++++ modules/dynunet_pipeline/create_network.py | 55 +++ modules/dynunet_pipeline/evaluator.py | 177 +++++++++ modules/dynunet_pipeline/inferrer.py | 192 ++++++++++ modules/dynunet_pipeline/task_params.py | 90 +++++ modules/dynunet_pipeline/train.py | 248 +++++++++++++ modules/dynunet_pipeline/trainer.py | 85 +++++ modules/dynunet_pipeline/transforms.py | 340 ++++++++++++++++++ 11 files changed, 1385 insertions(+) create mode 100644 modules/dynunet_pipeline/README.md create mode 100644 modules/dynunet_pipeline/commands/run_task04.sh create mode 100644 modules/dynunet_pipeline/create_datalist.py create mode 100644 modules/dynunet_pipeline/create_dataset.py create mode 100644 modules/dynunet_pipeline/create_network.py create mode 100644 modules/dynunet_pipeline/evaluator.py create mode 100644 modules/dynunet_pipeline/inferrer.py create mode 100644 modules/dynunet_pipeline/task_params.py create mode 100644 modules/dynunet_pipeline/train.py create mode 100644 modules/dynunet_pipeline/trainer.py create mode 100644 modules/dynunet_pipeline/transforms.py diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md new file mode 100644 index 0000000000..c4f8a33ed8 --- /dev/null +++ b/modules/dynunet_pipeline/README.md @@ -0,0 +1,22 @@ +# Overview +This pipeline is modified from NNUnet [1,2] which wins the "Medical Segmentation Decathlon Challenge 2018" and open sourced from https://github.com/MIC-DKFZ/nnUNet. + +## Data +The source decathlon datasets can be found from http://medicaldecathlon.com/. + +After getting the dataset, please run `create_datalist.py` to get the datalists (please check the command line arguments first). The default seed can help to get the same 5 folds data splits as NNUnet has, and the created datalist will be in `config/` + +## Training +Please run `train.py` for training. Please modify the command line arguments according +to the actual situation. + +A sample training script is shown in `commands/run_task04.sh`, it runs on task 04 and use +fold 0 for validation. You can use `bash commands/run_task04.sh` to run this script. + +## Validation +Please run `train.py` and set the argument `mode` to `val` for validation. + +# References +[1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. + +[2] Isensee F, Petersen J, Klein A, et al. nnu-net: Self-adapting framework for u-net-based medical image segmentation[J]. arXiv preprint arXiv:1809.10486, 2018. diff --git a/modules/dynunet_pipeline/commands/run_task04.sh b/modules/dynunet_pipeline/commands/run_task04.sh new file mode 100644 index 0000000000..fc2b72c7b8 --- /dev/null +++ b/modules/dynunet_pipeline/commands/run_task04.sh @@ -0,0 +1,12 @@ +# this task requires a single GPU with at least 6GB memory +lr=1e-1 +# train step 1, with large learning rate + +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 -expr_name baseline -tta_val True + +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +# lr=1e-3 +# weight=your_output_weightfile.pt +# CUDA_VISIBLE_DEVICES=0 python train_gaussian.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file diff --git a/modules/dynunet_pipeline/create_datalist.py b/modules/dynunet_pipeline/create_datalist.py new file mode 100644 index 0000000000..92203f2c8a --- /dev/null +++ b/modules/dynunet_pipeline/create_datalist.py @@ -0,0 +1,91 @@ +import json +import os +from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser + +import numpy as np +from sklearn.model_selection import KFold + + +def create_datalist( + dataset_input_dir: str, + output_dir: str, + task_id: str, + num_folds: int, + seed: int, +): + task_name = { + "01": "Task01_BrainTumour", + "02": "Task02_Heart", + "03": "Task03_Liver", + "04": "Task04_Hippocampus", + "05": "Task05_Prostate", + "06": "Task06_Lung", + "07": "Task07_Pancreas", + "08": "Task08_HepaticVessel", + "09": "Task09_Spleen", + "10": "Task10_Colon", + } + + dataset_file_path = os.path.join( + dataset_input_dir, task_name[task_id], "dataset.json" + ) + + with open(dataset_file_path, "r") as f: + dataset = json.load(f) + f.close() + + dataset_with_folds = dataset.copy() + + keys = [line["image"].split("/")[-1].split(".")[0] for line in dataset["training"]] + dataset_train_dict = dict(zip(keys, dataset["training"])) + all_keys_sorted = np.sort(keys) + kfold = KFold(n_splits=num_folds, shuffle=True, random_state=seed) + for i, (train_idx, test_idx) in enumerate(kfold.split(all_keys_sorted)): + val_data = [] + train_data = [] + train_keys = np.array(all_keys_sorted)[train_idx] + test_keys = np.array(all_keys_sorted)[test_idx] + for key in test_keys: + val_data.append(dataset_train_dict[key]) + for key in train_keys: + train_data.append(dataset_train_dict[key]) + + dataset_with_folds["validation_fold{}".format(i)] = val_data + dataset_with_folds["train_fold{}".format(i)] = train_data + del dataset + + if not os.path.exists(output_dir): + os.makedirs(output_dir) + + with open( + os.path.join(output_dir, "dataset_task{}.json".format(task_id)), "w" + ) as f: + json.dump(dataset_with_folds, f) + print("data list for {} has been created!".format(task_name[task_id])) + f.close() + + +if __name__ == "__main__": + parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) + + parser.add_argument( + "-input_dir", "--input_dir", type=str, default="/workspace/data/medical/" + ) + parser.add_argument("-output_dir", "--output_dir", type=str, default="config/") + parser.add_argument( + "-task_id", "--task_id", type=str, default="04", help="task 01 to 10" + ) + parser.add_argument( + "-num_folds", "--num_folds", type=int, default=5, help="number of folds" + ) + parser.add_argument("-seed", "--seed", type=int, default=12345, help="seed number") + + args = parser.parse_args() + + create_datalist( + dataset_input_dir=args.input_dir, + output_dir=args.output_dir, + task_id=args.task_id, + num_folds=args.num_folds, + seed=args.seed, + ) diff --git a/modules/dynunet_pipeline/create_dataset.py b/modules/dynunet_pipeline/create_dataset.py new file mode 100644 index 0000000000..5b375d43b8 --- /dev/null +++ b/modules/dynunet_pipeline/create_dataset.py @@ -0,0 +1,73 @@ +import os + +from monai.data import ( + CacheDataset, + DataLoader, + load_decathlon_datalist, + load_decathlon_properties, +) + +from task_params import task_name +from transforms import get_task_transforms + + +def get_data(args, batch_size=1, mode="train"): + # get necessary parameters: + fold = args.fold + task_id = args.task_id + root_dir = args.root_dir + datalist_path = args.datalist_path + dataset_path = os.path.join(root_dir, task_name[task_id]) + transform_params = (args.pos_sample_num, args.neg_sample_num, args.num_samples) + + transform = get_task_transforms(mode, task_id, *transform_params) + list_key = "{}_fold{}".format(mode, fold) + datalist_name = "dataset_task{}.json".format(task_id) + + property_keys = [ + "name", + "description", + "reference", + "licence", + "tensorImageSize", + "modality", + "labels", + "numTraining", + "numTest", + ] + + datalist = load_decathlon_datalist( + os.path.join(datalist_path, datalist_name), True, list_key, dataset_path + ) + properties = load_decathlon_properties( + os.path.join(datalist_path, datalist_name), property_keys + ) + if mode == "validation": + val_ds = CacheDataset( + data=datalist, + transform=transform, + num_workers=4, + ) + + val_loader = DataLoader( + val_ds, + batch_size=batch_size, + shuffle=False, + num_workers=args.val_num_workers, + ) + return properties, val_loader + elif mode == "train": + train_ds = CacheDataset( + data=datalist, + transform=transform, + num_workers=8, + cache_rate=args.cache_rate, + ) + train_loader = DataLoader( + train_ds, + batch_size=batch_size, + shuffle=True, + num_workers=args.train_num_workers, + drop_last=True, + ) + return properties, train_loader diff --git a/modules/dynunet_pipeline/create_network.py b/modules/dynunet_pipeline/create_network.py new file mode 100644 index 0000000000..6cdd9df789 --- /dev/null +++ b/modules/dynunet_pipeline/create_network.py @@ -0,0 +1,55 @@ +import os + +import torch +from monai.networks.nets import DynUNet + +from task_params import deep_supr_num, patch_size, spacing + + +def get_kernels_strides(task_id): + sizes, spacings = patch_size[task_id], spacing[task_id] + strides, kernels = [], [] + + while True: + spacing_ratio = [sp / min(spacings) for sp in spacings] + stride = [ + 2 if ratio <= 2 and size >= 8 else 1 + for (ratio, size) in zip(spacing_ratio, sizes) + ] + kernel = [3 if ratio <= 2 else 1 for ratio in spacing_ratio] + if all(s == 1 for s in stride): + break + sizes = [i / j for i, j in zip(sizes, stride)] + spacings = [i * j for i, j in zip(spacings, stride)] + kernels.append(kernel) + strides.append(stride) + strides.insert(0, len(spacings) * [1]) + kernels.append(len(spacings) * [3]) + return kernels, strides + + +def get_network(device, properties, task_id, pretrain_path, checkpoint=None): + n_class = len(properties["labels"]) + in_channels = len(properties["modality"]) + kernels, strides = get_kernels_strides(task_id) + + net = DynUNet( + spatial_dims=3, + in_channels=in_channels, + out_channels=n_class, + kernel_size=kernels, + strides=strides, + upsample_kernel_size=strides[1:], + norm_name="instance", + deep_supervision=True, + deep_supr_num=deep_supr_num[task_id], + ).to(device) + + if checkpoint is not None: + pretrain_path = os.path.join(pretrain_path, checkpoint) + if os.path.exists(pretrain_path): + net.load_state_dict(torch.load(pretrain_path)) + print("pretrained checkpoint: {} loaded".format(pretrain_path)) + else: + print("no pretrained checkpoint") + return net diff --git a/modules/dynunet_pipeline/evaluator.py b/modules/dynunet_pipeline/evaluator.py new file mode 100644 index 0000000000..70ef25e7e9 --- /dev/null +++ b/modules/dynunet_pipeline/evaluator.py @@ -0,0 +1,177 @@ +from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union + +import torch +import torch.nn as nn +from ignite.engine import Engine +from ignite.metrics import Metric +from monai.engines import SupervisedEvaluator +from monai.engines.utils import CommonKeys as Keys +from monai.engines.utils import IterationEvents, default_prepare_batch +from monai.inferers import Inferer +from monai.networks.utils import eval_mode +from monai.transforms import AsDiscrete, Transform +from torch.utils.data import DataLoader + +from transforms import recovery_prediction + + +class DynUNetEvaluator(SupervisedEvaluator): + """ + This class inherits from SupervisedEvaluator in MONAI, and is used with DynUNet + on Decathlon datasets. + + Args: + device: an object representing the device on which to run. + val_data_loader: Ignite engine use data_loader to run, must be + torch.DataLoader. + network: use the network to run model forward. + n_classes: the number of classes (output channels) for the task. + epoch_length: number of iterations for one epoch, default to + `len(val_data_loader)`. + non_blocking: if True and this copy is between CPU and GPU, the copy may occur asynchronously + with respect to the host. For other cases, this argument has no effect. + prepare_batch: function to parse image and label for current iteration. + iteration_update: the callable function for every iteration, expect to accept `engine` + and `batchdata` as input parameters. if not provided, use `self._iteration()` instead. + inferer: inference method that execute model forward on input data, like: SlidingWindow, etc. + post_transform: execute additional transformation for the model output data. + Typically, several Tensor based transforms composed by `Compose`. + key_val_metric: compute metric when every iteration completed, and save average value to + engine.state.metrics when epoch completed. key_val_metric is the main metric to compare and save the + checkpoint into files. + additional_metrics: more Ignite metrics that also attach to Ignite Engine. + val_handlers: every handler is a set of Ignite Event-Handlers, must have `attach` function, like: + CheckpointHandler, StatsHandler, SegmentationSaver, etc. + amp: whether to enable auto-mixed-precision evaluation, default is False. + tta_val: whether to do the 8 flips (8 = 2 ** 3, where 3 represents the three dimensions) + test time augmentation, default is False. + + """ + + def __init__( + self, + device: torch.device, + val_data_loader: DataLoader, + network: torch.nn.Module, + n_classes: Union[str, int], + epoch_length: Optional[int] = None, + non_blocking: bool = False, + prepare_batch: Callable = default_prepare_batch, + iteration_update: Optional[Callable] = None, + inferer: Optional[Inferer] = None, + post_transform: Optional[Transform] = None, + key_val_metric: Optional[Dict[str, Metric]] = None, + additional_metrics: Optional[Dict[str, Metric]] = None, + val_handlers: Optional[Sequence] = None, + amp: bool = False, + tta_val: bool = False, + ) -> None: + super().__init__( + device=device, + val_data_loader=val_data_loader, + network=network, + epoch_length=epoch_length, + non_blocking=non_blocking, + prepare_batch=prepare_batch, + iteration_update=iteration_update, + inferer=inferer, + post_transform=post_transform, + key_val_metric=key_val_metric, + additional_metrics=additional_metrics, + val_handlers=val_handlers, + amp=amp, + ) + + if not isinstance(n_classes, int): + n_classes = int(n_classes) + self.n_classes = n_classes + self.post_pred = AsDiscrete(argmax=True, to_onehot=True, n_classes=n_classes) + self.post_label = AsDiscrete(to_onehot=True, n_classes=n_classes) + self.tta_val = tta_val + + def _iteration( + self, engine: Engine, batchdata: Dict[str, Any] + ) -> Dict[str, torch.Tensor]: + """ + callback function for the Supervised Evaluation processing logic of 1 iteration in Ignite Engine. + Return below items in a dictionary: + - IMAGE: image Tensor data for model input, already moved to device. + - LABEL: label Tensor data corresponding to the image, already moved to device. + - PRED: prediction result of model. + + Args: + engine: Ignite Engine, it can be a trainer, validator or evaluator. + batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. + + Raises: + ValueError: When ``batchdata`` is None. + + """ + if batchdata is None: + raise ValueError("Must provide batch data for current iteration.") + batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) + if len(batch) == 2: + inputs, targets = batch + args: Tuple = () + kwargs: Dict = {} + else: + inputs, targets, args, kwargs = batch + + targets = targets.cpu() + + def _compute_pred(): + ct = 1.0 + pred = self.inferer(inputs, self.network, *args, **kwargs).cpu() + pred = nn.functional.softmax(pred, dim=1) + if not self.tta_val: + return pred + else: + for dims in [[2], [3], [4], (2, 3), (2, 4), (3, 4), (2, 3, 4)]: + flip_inputs = torch.flip(inputs, dims=dims) + flip_pred = torch.flip( + self.inferer(flip_inputs, self.network).cpu(), dims=dims + ) + flip_pred = nn.functional.softmax(flip_pred, dim=1) + del flip_inputs + pred += flip_pred + del flip_pred + ct += 1 + return pred / ct + + # execute forward computation + with eval_mode(self.network): + if self.amp: + with torch.cuda.amp.autocast(): + predictions = _compute_pred() + else: + predictions = _compute_pred() + + inputs = inputs.cpu() + predictions = self.post_pred(predictions) + targets = self.post_label(targets) + + resample_flag = batchdata["resample_flag"] + anisotrophy_flag = batchdata["anisotrophy_flag"] + crop_shape = batchdata["crop_shape"][0].tolist() + original_shape = batchdata["original_shape"][0].tolist() + if resample_flag: + # convert the prediction back to the original (after cropped) shape + predictions = recovery_prediction( + predictions.numpy()[0], [self.n_classes, *crop_shape], anisotrophy_flag + ) + predictions = torch.tensor(predictions) + + # put iteration outputs into engine.state + engine.state.output = output = {Keys.IMAGE: inputs, Keys.LABEL: targets} + output[Keys.PRED] = torch.zeros([1, self.n_classes, *original_shape]) + # pad the prediction back to the original shape + box_start, box_end = batchdata["bbox"][0] + h_start, w_start, d_start = box_start + h_end, w_end, d_end = box_end + output[Keys.PRED][ + 0, :, h_start:h_end, w_start:w_end, d_start:d_end + ] = predictions + del predictions + + engine.fire_event(IterationEvents.FORWARD_COMPLETED) + return output diff --git a/modules/dynunet_pipeline/inferrer.py b/modules/dynunet_pipeline/inferrer.py new file mode 100644 index 0000000000..b9d8ceeb0f --- /dev/null +++ b/modules/dynunet_pipeline/inferrer.py @@ -0,0 +1,192 @@ +import os +from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union + +import nibabel as nib +import numpy as np +import torch +import torch.nn as nn +from ignite.engine import Engine +from ignite.metrics import Metric +from monai.data.utils import to_affine_nd +from monai.engines import SupervisedEvaluator +from monai.engines.utils import IterationEvents, default_prepare_batch +from monai.inferers import Inferer +from monai.networks.utils import eval_mode +from monai.transforms import AsDiscrete, Transform +from torch.utils.data import DataLoader + +from transforms import recovery_prediction + + +class DynUNetInferrer(SupervisedEvaluator): + """ + This class inherits from SupervisedEvaluator in MONAI, and is used with DynUNet + on Decathlon datasets. + + Args: + device: an object representing the device on which to run. + val_data_loader: Ignite engine use data_loader to run, must be + torch.DataLoader. + network: use the network to run model forward. + output_dir: the path to save inferred outputs. + n_classes: the number of classes (output channels) for the task. + epoch_length: number of iterations for one epoch, default to + `len(val_data_loader)`. + non_blocking: if True and this copy is between CPU and GPU, the copy may occur asynchronously + with respect to the host. For other cases, this argument has no effect. + prepare_batch: function to parse image and label for current iteration. + iteration_update: the callable function for every iteration, expect to accept `engine` + and `batchdata` as input parameters. if not provided, use `self._iteration()` instead. + inferer: inference method that execute model forward on input data, like: SlidingWindow, etc. + post_transform: execute additional transformation for the model output data. + Typically, several Tensor based transforms composed by `Compose`. + key_val_metric: compute metric when every iteration completed, and save average value to + engine.state.metrics when epoch completed. key_val_metric is the main metric to compare and save the + checkpoint into files. + additional_metrics: more Ignite metrics that also attach to Ignite Engine. + val_handlers: every handler is a set of Ignite Event-Handlers, must have `attach` function, like: + CheckpointHandler, StatsHandler, SegmentationSaver, etc. + amp: whether to enable auto-mixed-precision evaluation, default is False. + tta_val: whether to do the 8 flips (8 = 2 ** 3, where 3 represents the three dimensions) + test time augmentation, default is False. + + """ + + def __init__( + self, + device: torch.device, + val_data_loader: DataLoader, + network: torch.nn.Module, + output_dir: str, + n_classes: Union[str, int], + epoch_length: Optional[int] = None, + non_blocking: bool = False, + prepare_batch: Callable = default_prepare_batch, + iteration_update: Optional[Callable] = None, + inferer: Optional[Inferer] = None, + post_transform: Optional[Transform] = None, + key_val_metric: Optional[Dict[str, Metric]] = None, + additional_metrics: Optional[Dict[str, Metric]] = None, + val_handlers: Optional[Sequence] = None, + amp: bool = False, + tta_val: bool = False, + ) -> None: + super().__init__( + device=device, + val_data_loader=val_data_loader, + network=network, + epoch_length=epoch_length, + non_blocking=non_blocking, + prepare_batch=prepare_batch, + iteration_update=iteration_update, + inferer=inferer, + post_transform=post_transform, + key_val_metric=key_val_metric, + additional_metrics=additional_metrics, + val_handlers=val_handlers, + amp=amp, + ) + + if not isinstance(n_classes, int): + n_classes = int(n_classes) + self.post_pred = AsDiscrete(argmax=True, to_onehot=True, n_classes=n_classes) + self.output_dir = output_dir + self.tta_val = tta_val + self.n_classes = n_classes + + def _iteration( + self, engine: Engine, batchdata: Dict[str, Any] + ) -> Dict[str, torch.Tensor]: + """ + callback function for the Supervised Evaluation processing logic of 1 iteration in Ignite Engine. + Return below item in a dictionary: + - PRED: prediction result of model. + + Args: + engine: Ignite Engine, it can be a trainer, validator or evaluator. + batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. + + Raises: + ValueError: When ``batchdata`` is None. + + """ + if batchdata is None: + raise ValueError("Must provide batch data for current iteration.") + batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) + if len(batch) == 2: + inputs, _ = batch + args: Tuple = () + kwargs: Dict = {} + else: + inputs, _, args, kwargs = batch + + def _compute_pred(): + ct = 1.0 + pred = self.inferer(inputs, self.network, *args, **kwargs).cpu() + pred = nn.functional.softmax(pred, dim=1) + if not self.tta_val: + return pred + else: + for dims in [[2], [3], [4], (2, 3), (2, 4), (3, 4), (2, 3, 4)]: + flip_inputs = torch.flip(inputs, dims=dims) + flip_pred = torch.flip( + self.inferer(flip_inputs, self.network).cpu(), dims=dims + ) + flip_pred = nn.functional.softmax(flip_pred, dim=1) + del flip_inputs + pred += flip_pred + del flip_pred + ct += 1 + return pred / ct + + # execute forward computation + with eval_mode(self.network): + if self.amp: + with torch.cuda.amp.autocast(): + predictions = _compute_pred() + else: + predictions = _compute_pred() + + inputs = inputs.cpu() + predictions = self.post_pred(predictions) + + target_affine = batchdata["image_meta_dict"]["affine"].numpy()[0] + resample_flag = batchdata["resample_flag"] + anisotrophy_flag = batchdata["anisotrophy_flag"] + crop_shape = batchdata["crop_shape"][0].tolist() + original_shape = batchdata["original_shape"][0].tolist() + + if resample_flag: + # convert the prediction back to the original (after cropped) shape + predictions = recovery_prediction( + predictions.numpy()[0], [self.n_classes, *crop_shape], anisotrophy_flag + ) + else: + predictions = predictions.numpy() + + predictions = predictions[0] + predictions = np.argmax(predictions, axis=0) + + # pad the prediction back to the original shape + predictions_org = np.zeros([*original_shape]) + box_start, box_end = batchdata["bbox"][0] + h_start, w_start, d_start = box_start + h_end, w_end, d_end = box_end + predictions_org[h_start:h_end, w_start:w_end, d_start:d_end] = predictions + del predictions + + filename = batchdata["image_meta_dict"]["filename_or_obj"][0].split("/")[-1] + + print( + "save {} with shape: {}, mean values: {}".format( + filename, predictions_org.shape, predictions_org.mean() + ) + ) + results_img = nib.Nifti1Image( + predictions_org.astype(np.uint8), to_affine_nd(3, target_affine) + ) + del predictions_org + nib.save(results_img, os.path.join(self.output_dir, filename)) + + engine.fire_event(IterationEvents.FORWARD_COMPLETED) + return {"pred": results_img} diff --git a/modules/dynunet_pipeline/task_params.py b/modules/dynunet_pipeline/task_params.py new file mode 100644 index 0000000000..6e23813384 --- /dev/null +++ b/modules/dynunet_pipeline/task_params.py @@ -0,0 +1,90 @@ +task_name = { + "01": "Task01_BrainTumour", + "02": "Task02_Heart", + "03": "Task03_Liver", + "04": "Task04_Hippocampus", + "05": "Task05_Prostate", + "06": "Task06_Lung", + "07": "Task07_Pancreas", + "08": "Task08_HepaticVessel", + "09": "Task09_Spleen", + "10": "Task10_Colon", +} + +patch_size = { + "01": [128, 128, 128], + "02": [160, 192, 80], + "03": [128, 128, 128], + "04": [40, 56, 40], + "05": [320, 256, 20], + "06": [192, 160, 80], + "07": [224, 224, 40], + "08": [192, 192, 64], + "09": [192, 160, 64], + "10": [192, 160, 56], +} + +spacing = { + "01": [1.0, 1.0, 1.0], + "02": [1.25, 1.25, 1.37], + "03": [0.77, 0.77, 1], + "04": [1.0, 1.0, 1.0], + "05": [0.62, 0.62, 3.6], + "06": [0.79, 0.79, 1.24], + "07": [0.8, 0.8, 2.5], + "08": [0.8, 0.8, 1.5], + "09": [0.79, 0.79, 1.6], + "10": [0.78, 0.78, 3], +} + +clip_values = { + "01": [0, 0], + "02": [0, 0], + "03": [-17, 201], + "04": [0, 0], + "05": [0, 0], + "06": [-1024, 325], + "07": [-96, 215], + "08": [-3, 243], + "09": [-41, 176], + "10": [-30, 165.82], +} + +normalize_values = { + "01": [0, 0], + "02": [0, 0], + "03": [99.40, 39.36], + "04": [0, 0], + "05": [0, 0], + "06": [-158.58, 324.7], + "07": [77.99, 75.4], + "08": [104.37, 52.62], + "09": [99.29, 39.47], + "10": [62.18, 32.65], +} + +data_loader_params = { + "01": {"batch_size": 8}, + "02": {"batch_size": 2}, + "03": {"batch_size": 8}, + "04": {"batch_size": 9}, + "05": {"batch_size": 2}, + "06": {"batch_size": 2}, + "07": {"batch_size": 2}, + "08": {"batch_size": 2}, + "09": {"batch_size": 2}, + "10": {"batch_size": 2}, +} + +deep_supr_num = { + "01": 3, + "02": 3, + "03": 3, + "04": 1, + "05": 4, + "06": 3, + "07": 3, + "08": 3, + "09": 3, + "10": 3, +} diff --git a/modules/dynunet_pipeline/train.py b/modules/dynunet_pipeline/train.py new file mode 100644 index 0000000000..60655441f9 --- /dev/null +++ b/modules/dynunet_pipeline/train.py @@ -0,0 +1,248 @@ +import logging +import os +from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser + +import torch +from monai.handlers import (CheckpointSaver, LrScheduleHandler, MeanDice, + StatsHandler, ValidationHandler) +from monai.inferers import SimpleInferer, SlidingWindowInferer +from monai.losses import DiceCELoss + +from task_params import data_loader_params, patch_size +from create_dataset import get_data +from create_network import get_network +from evaluator import DynUNetEvaluator +from trainer import DynUNetTrainer + + +def validation(args): + # load hyper parameters + task_id = args.task_id + sw_batch_size = args.sw_batch_size + tta_val = args.tta_val + window_mode = args.window_mode + eval_overlap = args.eval_overlap + amp = args.amp + + properties, val_loader = get_data(args, mode="validation") + n_classes = len(properties["labels"]) + # produce the network + checkpoint = args.checkpoint + val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, args.fold, args.expr_name) + device = torch.device("cuda:0") + net = get_network(device, properties, task_id, val_output_dir, checkpoint) + + net.eval() + + evaluator = DynUNetEvaluator( + device=device, + val_data_loader=val_loader, + network=net, + n_classes=n_classes, + inferer=SlidingWindowInferer( + roi_size=patch_size[task_id], + sw_batch_size=sw_batch_size, + overlap=eval_overlap, + mode=window_mode, + ), + post_transform=None, + key_val_metric={ + "val_mean_dice": MeanDice( + include_background=False, + output_transform=lambda x: (x["pred"], x["label"]), + ) + }, + additional_metrics=None, + amp=amp, + tta_val=tta_val, + ) + + evaluator.run() + print(evaluator.state.metrics) + results = evaluator.state.metric_details["val_mean_dice"] + if n_classes > 2: + for i in range(n_classes - 1): + print("mean dice for label {} is {}".format(i+1, results[:, i].mean())) + + +def train(args): + # load hyper parameters + task_id = args.task_id + fold = args.fold + val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, fold, args.expr_name) + log_filename = "nnunet_task{}_fold{}.log".format(task_id, fold) + log_filename = os.path.join(val_output_dir, log_filename) + interval = args.interval + learning_rate = args.learning_rate + max_epochs = args.max_epochs + amp_flag = args.amp + lr_decay_flag = args.lr_decay + sw_batch_size = args.sw_batch_size + tta_val = args.tta_val + batch_dice = args.batch_dice + window_mode = args.window_mode + eval_overlap = args.eval_overlap + + # transforms + train_batch_size = data_loader_params[task_id]["batch_size"] + + properties, val_loader = get_data(args, mode="validation") + _, train_loader = get_data(args, batch_size=train_batch_size, mode="train") + + # produce the network + device = torch.device("cuda:0") + checkpoint = args.checkpoint + net = get_network(device, properties, task_id, val_output_dir, checkpoint) + + optimizer = torch.optim.SGD( + net.parameters(), + lr=learning_rate, + momentum=0.99, + weight_decay=3e-5, + nesterov=True, + ) + + scheduler = torch.optim.lr_scheduler.LambdaLR( + optimizer, lr_lambda=lambda epoch: (1 - epoch / max_epochs) ** 0.9 + ) + # produce evaluator + val_handlers = [ + StatsHandler(output_transform=lambda x: None), + CheckpointSaver( + save_dir=val_output_dir, save_dict={"net": net}, save_key_metric=True + ), + ] + + evaluator = DynUNetEvaluator( + device=device, + val_data_loader=val_loader, + network=net, + n_classes=len(properties["labels"]), + inferer=SlidingWindowInferer( + roi_size=patch_size[task_id], + sw_batch_size=sw_batch_size, + overlap=eval_overlap, + mode=window_mode, + ), + post_transform=None, + key_val_metric={ + "val_mean_dice": MeanDice( + include_background=False, + output_transform=lambda x: (x["pred"], x["label"]), + ) + }, + val_handlers=val_handlers, + amp=amp_flag, + tta_val=tta_val, + ) + # produce trainer + loss = DiceCELoss(to_onehot_y=True, softmax=True, batch=batch_dice) + train_handlers = [] + if lr_decay_flag: + train_handlers += [LrScheduleHandler(lr_scheduler=scheduler, print_lr=True)] + + train_handlers += [ + ValidationHandler(validator=evaluator, interval=interval, epoch_level=True), + StatsHandler(tag_name="train_loss", output_transform=lambda x: x["loss"]), + ] + + trainer = DynUNetTrainer( + device=device, + max_epochs=max_epochs, + train_data_loader=train_loader, + network=net, + optimizer=optimizer, + loss_function=loss, + inferer=SimpleInferer(), + post_transform=None, + key_train_metric=None, + train_handlers=train_handlers, + amp=amp_flag, + ) + + # run + logger = logging.getLogger() + + formatter = logging.Formatter( + "%(asctime)s - %(name)s - %(levelname)s - %(message)s" + ) + + # Setup file handler + fhandler = logging.FileHandler(log_filename) + fhandler.setLevel(logging.INFO) + fhandler.setFormatter(formatter) + + # Configure stream handler for the cells + chandler = logging.StreamHandler() + chandler.setLevel(logging.INFO) + chandler.setFormatter(formatter) + + # Add both handlers + logger.addHandler(fhandler) + logger.addHandler(chandler) + logger.setLevel(logging.INFO) + + # Show the handlers + logger.handlers + + # Log Something + logger.info("Test info") + logger.debug("Test debug") + + trainer.run() + + +if __name__ == "__main__": + parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) + parser.add_argument("-fold", "--fold", type=int, default=0, help="0-5") + parser.add_argument( + "-task_id", "--task_id", type=str, default="02", help="task 01 to 10" + ) + parser.add_argument( + "-root_dir", + "--root_dir", + type=str, + default="/workspace/data/medical/", + help="dataset path", + ) + parser.add_argument("-expr_name", "--expr_name", type=str, default="expr", help="the suffix of the experiment's folder") + parser.add_argument( + "-datalist_path", "--datalist_path", type=str, default="config/", + ) + parser.add_argument( + "-train_num_workers", "--train_num_workers", type=int, default=4, help="the num_workers parameter of training dataloader." + ) + parser.add_argument("-val_num_workers", "--val_num_workers", type=int, default=1, help="the num_workers parameter of validation dataloader.") + parser.add_argument("-interval", "--interval", type=int, default=5, help="the validation interval under epoch level.") + parser.add_argument("-eval_overlap", "--eval_overlap", type=float, default=0.5, help="the overlap parameter of SlidingWindowInferer.") + parser.add_argument("-sw_batch_size", "--sw_batch_size", type=int, default=4, help="the sw_batch_size parameter of SlidingWindowInferer.") + parser.add_argument( + "-window_mode", + "--window_mode", + type=str, + default="gaussian", + choices=["constant", "gaussian"], + help="the mode parameter for SlidingWindowInferer." + ) + parser.add_argument("-num_samples", "--num_samples", type=int, default=3, help="the num_samples parameter of RandCropByPosNegLabeld.") + parser.add_argument("-pos_sample_num", "--pos_sample_num", type=int, default=1, help="the pos parameter of RandCropByPosNegLabeld.") + parser.add_argument("-neg_sample_num", "--neg_sample_num", type=int, default=1, help="the neg parameter of RandCropByPosNegLabeld.") + parser.add_argument("-cache_rate", "--cache_rate", type=float, default=1.0, help="the cache_rate parameter of CacheDataset.") + parser.add_argument("-learning_rate", "--learning_rate", type=float, default=1e-2) + parser.add_argument("-max_epochs", "--max_epochs", type=int, default=1000, help="number of epochs of training.") + parser.add_argument( + "-mode", "--mode", type=str, default="train", choices=["train", "val"] + ) + parser.add_argument("-checkpoint", "--checkpoint", type=str, default=None, help="the filename of weights.") + parser.add_argument("-amp", "--amp", type=bool, default=False, help="whether to use automatic mixed precision.") + parser.add_argument("-lr_decay", "--lr_decay", type=bool, default=False, help="whether to use learning rate decay.") + parser.add_argument("-tta_val", "--tta_val", type=bool, default=False, help="whether to use test time augmentation.") + parser.add_argument("-batch_dice", "--batch_dice", type=bool, default=False, help="the batch parameter of DiceCELoss.") + + args = parser.parse_args() + + if args.mode == "train": + train(args) + elif args.mode == "val": + validation(args) + \ No newline at end of file diff --git a/modules/dynunet_pipeline/trainer.py b/modules/dynunet_pipeline/trainer.py new file mode 100644 index 0000000000..ac45ae994a --- /dev/null +++ b/modules/dynunet_pipeline/trainer.py @@ -0,0 +1,85 @@ +from typing import Any, Dict, Tuple + +import torch +from ignite.engine import Engine +from monai.engines import SupervisedTrainer +from monai.engines.utils import CommonKeys as Keys +from monai.engines.utils import IterationEvents +from torch.nn.parallel import DistributedDataParallel + + +class DynUNetTrainer(SupervisedTrainer): + """ + This class inherits from SupervisedTrainer in MONAI, and is used with DynUNet + on Decathlon datasets. + + """ + + def _iteration(self, engine: Engine, batchdata: Dict[str, Any]): + """ + Callback function for the Supervised Training processing logic of 1 iteration in Ignite Engine. + Return below items in a dictionary: + - IMAGE: image Tensor data for model input, already moved to device. + - LABEL: label Tensor data corresponding to the image, already moved to device. + - PRED: prediction result of model. + - LOSS: loss value computed by loss function. + + Args: + engine: Ignite Engine, it can be a trainer, validator or evaluator. + batchdata: input data for this iteration, usually can be dictionary or tuple of Tensor data. + + Raises: + ValueError: When ``batchdata`` is None. + + """ + if batchdata is None: + raise ValueError("Must provide batch data for current iteration.") + batch = self.prepare_batch(batchdata, engine.state.device, engine.non_blocking) + if len(batch) == 2: + inputs, targets = batch + args: Tuple = () + kwargs: Dict = {} + else: + inputs, targets, args, kwargs = batch + # put iteration outputs into engine.state + engine.state.output = output = {Keys.IMAGE: inputs, Keys.LABEL: targets} + + def _compute_pred_loss(): + preds = self.inferer(inputs, self.network, *args, **kwargs) + if len(preds.size()) - len(targets.size()) == 1: + # deep supervision mode, need to unbind feature maps first. + preds = torch.unbind(preds, dim=1) + output[Keys.PRED] = preds + del preds + engine.fire_event(IterationEvents.FORWARD_COMPLETED) + output[Keys.LOSS] = sum( + 0.5 ** i * self.loss_function.forward(p, targets) + for i, p in enumerate(output[Keys.PRED]) + ) + engine.fire_event(IterationEvents.LOSS_COMPLETED) + + self.network.train() + self.optimizer.zero_grad() + if self.amp and self.scaler is not None: + with torch.cuda.amp.autocast(): + _compute_pred_loss() + self.scaler.scale(output[Keys.LOSS]).backward() + self.scaler.unscale_(self.optimizer) + if isinstance(self.network, DistributedDataParallel): + torch.nn.utils.clip_grad_norm_(self.network.module.parameters(), 12) + else: + torch.nn.utils.clip_grad_norm_(self.network.parameters(), 12) + self.scaler.step(self.optimizer) + self.scaler.update() + else: + _compute_pred_loss() + output[Keys.LOSS].backward() + engine.fire_event(IterationEvents.BACKWARD_COMPLETED) + if isinstance(self.network, DistributedDataParallel): + torch.nn.utils.clip_grad_norm_(self.network.module.parameters(), 12) + else: + torch.nn.utils.clip_grad_norm_(self.network.parameters(), 12) + self.optimizer.step() + engine.fire_event(IterationEvents.OPTIMIZER_COMPLETED) + + return output diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py new file mode 100644 index 0000000000..34f26a80d7 --- /dev/null +++ b/modules/dynunet_pipeline/transforms.py @@ -0,0 +1,340 @@ +import numpy as np +from monai.transforms import ( + AddChanneld, + AsChannelFirstd, + CastToTyped, + Compose, + CropForegroundd, + LoadImaged, + NormalizeIntensity, + RandCropByPosNegLabeld, + RandFlipd, + RandGaussianNoised, + RandGaussianSmoothd, + RandScaleIntensityd, + RandZoomd, + SpatialCrop, + SpatialPadd, + ToTensord, +) +from monai.transforms.compose import MapTransform +from monai.transforms.utils import generate_spatial_bounding_box +from skimage.transform import resize + +from task_params import clip_values, normalize_values, patch_size, spacing + + +def get_task_transforms(mode, task_id, pos_sample_num, neg_sample_num, num_samples): + + # 1. loading for different formats + if mode != "test": + load_keys = ["image", "label"] + else: + load_keys = ["image"] + + if task_id in ["01", "05"]: + load_transforms = [ + LoadImaged(keys=load_keys), + AsChannelFirstd(keys="image"), + ] + if mode != "test": + load_transforms.append(AddChanneld(keys=["label"])) + else: + load_transforms = [ + LoadImaged(keys=load_keys), + AddChanneld(keys=load_keys), + ] + # 2. sampling + if mode != "test": + sample_keys = ["image", "label"] + else: + sample_keys = ["image"] + sample_transforms = [ + PreprocessAnisotropic( + keys=sample_keys, + clip_values=clip_values[task_id], + pixdim=spacing[task_id], + normalize_values=normalize_values[task_id], + model_mode=mode, + ), + ] + # 3. spatial transforms + if mode == "train": + other_transforms = [ + SpatialPadd(keys=["image", "label"], spatial_size=patch_size[task_id]), + RandCropByPosNegLabeld( + keys=["image", "label"], + label_key="label", + spatial_size=patch_size[task_id], + pos=pos_sample_num, + neg=neg_sample_num, + num_samples=num_samples, + image_key="image", + image_threshold=0, + ), + RandZoomd( + keys=["image", "label"], + min_zoom=0.9, + max_zoom=1.2, + mode=("trilinear", "nearest"), + align_corners=(True, None), + prob=0.15, + ), + RandGaussianNoised(keys=["image"], std=0.01, prob=0.15), + RandGaussianSmoothd( + keys=["image"], + sigma_x=(0.5, 1.15), + sigma_y=(0.5, 1.15), + sigma_z=(0.5, 1.15), + prob=0.15, + ), + RandScaleIntensityd(keys=["image"], factors=0.3, prob=0.15), + RandFlipd(["image", "label"], spatial_axis=[0], prob=0.5), + RandFlipd(["image", "label"], spatial_axis=[1], prob=0.5), + RandFlipd(["image", "label"], spatial_axis=[2], prob=0.5), + CastToTyped(keys=["image", "label"], dtype=(np.float32, np.uint8)), + ToTensord(keys=["image", "label"]), + ] + elif mode == "validation": + other_transforms = [ + CastToTyped(keys=["image", "label"], dtype=(np.float32, np.uint8)), + ToTensord(keys=["image", "label"]), + ] + else: + other_transforms = [ + CastToTyped(keys=["image"], dtype=(np.float32)), + ToTensord(keys=["image"]), + ] + + all_transforms = load_transforms + sample_transforms + other_transforms + return Compose(all_transforms) + + +def resample_image(image, shape, anisotrophy_flag): + resized_channels = [] + if anisotrophy_flag: + for image_c in image: + resized_slices = [] + for i in range(image_c.shape[-1]): + image_c_2d_slice = image_c[:, :, i] + image_c_2d_slice = resize( + image_c_2d_slice, + shape[:-1], + order=3, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + resized_slices.append(image_c_2d_slice) + resized = np.stack(resized_slices, axis=-1) + resized = resize( + resized, + shape, + order=0, + mode="constant", + cval=0, + clip=True, + anti_aliasing=False, + ) + resized_channels.append(resized) + else: + for image_c in image: + resized = resize( + image_c, + shape, + order=3, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + resized_channels.append(resized) + resized = np.stack(resized_channels, axis=0) + return resized + + +def resample_label(label, shape, anisotrophy_flag): + reshaped = np.zeros(shape, dtype=np.uint8) + n_class = np.max(label) + if anisotrophy_flag: + shape_2d = shape[:-1] + depth = label.shape[-1] + reshaped_2d = np.zeros((*shape_2d, depth), dtype=np.uint8) + + for class_ in range(1, int(n_class) + 1): + for depth_ in range(depth): + mask = label[0, :, :, depth_] == class_ + resized_2d = resize( + mask.astype(float), + shape_2d, + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped_2d[:, :, depth_][resized_2d >= 0.5] = class_ + for class_ in range(1, int(n_class) + 1): + mask = reshaped_2d == class_ + resized = resize( + mask.astype(float), + shape, + order=0, + mode="constant", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[resized >= 0.5] = class_ + else: + for class_ in range(1, int(n_class) + 1): + mask = label[0] == class_ + resized = resize( + mask.astype(float), + shape, + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[resized >= 0.5] = class_ + + reshaped = np.expand_dims(reshaped, 0) + return reshaped + + +def recovery_prediction(prediction, shape, anisotrophy_flag): + reshaped = np.zeros(shape, dtype=np.uint8) + n_class = shape[0] + if anisotrophy_flag: + c, h, w = prediction.shape[:-1] + d = shape[-1] + reshaped_d = np.zeros((c, h, w, d), dtype=np.uint8) + for class_ in range(1, n_class): + mask = prediction[class_] == 1 + resized_d = resize( + mask.astype(float), + (h, w, d), + order=0, + mode="constant", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped_d[class_][resized_d >= 0.5] = 1 + + for class_ in range(1, n_class): + for depth_ in range(d): + mask = reshaped_d[class_, :, :, depth_] == 1 + resized_hw = resize( + mask.astype(float), + shape[1:-1], + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[class_, :, :, depth_][resized_hw >= 0.5] = 1 + else: + for class_ in range(1, n_class): + mask = prediction[class_] == 1 + resized = resize( + mask.astype(float), + shape[1:], + order=1, + mode="edge", + cval=0, + clip=True, + anti_aliasing=False, + ) + reshaped[class_][resized >= 0.5] = 1 + + reshaped = np.expand_dims(reshaped, 0) + return reshaped + + +class PreprocessAnisotropic(MapTransform): + def __init__( + self, + keys, + clip_values, + pixdim, + normalize_values, + model_mode, + ) -> None: + super().__init__(keys) + self.keys = keys + self.low = clip_values[0] + self.high = clip_values[1] + self.target_spacing = pixdim + self.mean = normalize_values[0] + self.std = normalize_values[1] + self.training = False + self.crop_foreg = CropForegroundd(keys=["image", "label"], source_key="image") + self.normalize_intensity = NormalizeIntensity(nonzero=True, channel_wise=True) + if model_mode in ["train"]: + self.training = True + + def calculate_new_shape(self, spacing, shape): + spacing_ratio = np.array(spacing) / np.array(self.target_spacing) + new_shape = (spacing_ratio * np.array(shape)).astype(int).tolist() + return new_shape + + def check_anisotrophy(self, spacing): + def check(spacing): + return np.max(spacing) / np.min(spacing) >= 3 + + return check(spacing) or check(self.target_spacing) + + def __call__(self, data): + # load data + d = dict(data) + image = d["image"] + image_spacings = d["image_meta_dict"]["pixdim"][1:4].tolist() + + if "label" in self.keys: + label = d["label"] + label[label < 0] = 0 + + if self.training: + # only task 04 does not be impacted + cropped_data = self.crop_foreg({"image": image, "label": label}) + image, label = cropped_data["image"], cropped_data["label"] + else: + d["original_shape"] = np.array(image.shape[1:]) + box_start, box_end = generate_spatial_bounding_box(image) + image = SpatialCrop(roi_start=box_start, roi_end=box_end)(image) + d["bbox"] = np.vstack([box_start, box_end]) + d["crop_shape"] = np.array(image.shape[1:]) + + original_shape = image.shape[1:] + # calculate shape + resample_flag = False + anisotrophy_flag = False + if self.target_spacing != image_spacings: + # resample + resample_flag = True + resample_shape = self.calculate_new_shape(image_spacings, original_shape) + anisotrophy_flag = self.check_anisotrophy(image_spacings) + image = resample_image(image, resample_shape, anisotrophy_flag) + if self.training: + label = resample_label(label, resample_shape, anisotrophy_flag) + + d["resample_flag"] = resample_flag + d["anisotrophy_flag"] = anisotrophy_flag + # clip image for CT dataset + if self.low != 0 or self.high != 0: + image = np.clip(image, self.low, self.high) + image = (image - self.mean) / self.std + else: + image = self.normalize_intensity(image.copy()) + + d["image"] = image + + if "label" in self.keys: + d["label"] = label + + return d From c4127917d3e6f1133b93f675332628788338f8f8 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 1 Mar 2021 14:40:20 +0800 Subject: [PATCH 07/21] update train script --- modules/dynunet_pipeline/train.py | 147 +++++++++++++++++++++++++----- 1 file changed, 124 insertions(+), 23 deletions(-) diff --git a/modules/dynunet_pipeline/train.py b/modules/dynunet_pipeline/train.py index 60655441f9..f6b35522b5 100644 --- a/modules/dynunet_pipeline/train.py +++ b/modules/dynunet_pipeline/train.py @@ -3,15 +3,20 @@ from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser import torch -from monai.handlers import (CheckpointSaver, LrScheduleHandler, MeanDice, - StatsHandler, ValidationHandler) +from monai.handlers import ( + CheckpointSaver, + LrScheduleHandler, + MeanDice, + StatsHandler, + ValidationHandler, +) from monai.inferers import SimpleInferer, SlidingWindowInferer from monai.losses import DiceCELoss -from task_params import data_loader_params, patch_size from create_dataset import get_data from create_network import get_network from evaluator import DynUNetEvaluator +from task_params import data_loader_params, patch_size from trainer import DynUNetTrainer @@ -62,7 +67,7 @@ def validation(args): results = evaluator.state.metric_details["val_mean_dice"] if n_classes > 2: for i in range(n_classes - 1): - print("mean dice for label {} is {}".format(i+1, results[:, i].mean())) + print("mean dice for label {} is {}".format(i + 1, results[:, i].mean())) def train(args): @@ -205,39 +210,136 @@ def train(args): default="/workspace/data/medical/", help="dataset path", ) - parser.add_argument("-expr_name", "--expr_name", type=str, default="expr", help="the suffix of the experiment's folder") parser.add_argument( - "-datalist_path", "--datalist_path", type=str, default="config/", + "-expr_name", + "--expr_name", + type=str, + default="expr", + help="the suffix of the experiment's folder", + ) + parser.add_argument( + "-datalist_path", + "--datalist_path", + type=str, + default="config/", + ) + parser.add_argument( + "-train_num_workers", + "--train_num_workers", + type=int, + default=4, + help="the num_workers parameter of training dataloader.", + ) + parser.add_argument( + "-val_num_workers", + "--val_num_workers", + type=int, + default=1, + help="the num_workers parameter of validation dataloader.", + ) + parser.add_argument( + "-interval", + "--interval", + type=int, + default=5, + help="the validation interval under epoch level.", + ) + parser.add_argument( + "-eval_overlap", + "--eval_overlap", + type=float, + default=0.5, + help="the overlap parameter of SlidingWindowInferer.", ) parser.add_argument( - "-train_num_workers", "--train_num_workers", type=int, default=4, help="the num_workers parameter of training dataloader." + "-sw_batch_size", + "--sw_batch_size", + type=int, + default=4, + help="the sw_batch_size parameter of SlidingWindowInferer.", ) - parser.add_argument("-val_num_workers", "--val_num_workers", type=int, default=1, help="the num_workers parameter of validation dataloader.") - parser.add_argument("-interval", "--interval", type=int, default=5, help="the validation interval under epoch level.") - parser.add_argument("-eval_overlap", "--eval_overlap", type=float, default=0.5, help="the overlap parameter of SlidingWindowInferer.") - parser.add_argument("-sw_batch_size", "--sw_batch_size", type=int, default=4, help="the sw_batch_size parameter of SlidingWindowInferer.") parser.add_argument( "-window_mode", "--window_mode", type=str, default="gaussian", choices=["constant", "gaussian"], - help="the mode parameter for SlidingWindowInferer." + help="the mode parameter for SlidingWindowInferer.", + ) + parser.add_argument( + "-num_samples", + "--num_samples", + type=int, + default=3, + help="the num_samples parameter of RandCropByPosNegLabeld.", + ) + parser.add_argument( + "-pos_sample_num", + "--pos_sample_num", + type=int, + default=1, + help="the pos parameter of RandCropByPosNegLabeld.", + ) + parser.add_argument( + "-neg_sample_num", + "--neg_sample_num", + type=int, + default=1, + help="the neg parameter of RandCropByPosNegLabeld.", + ) + parser.add_argument( + "-cache_rate", + "--cache_rate", + type=float, + default=1.0, + help="the cache_rate parameter of CacheDataset.", ) - parser.add_argument("-num_samples", "--num_samples", type=int, default=3, help="the num_samples parameter of RandCropByPosNegLabeld.") - parser.add_argument("-pos_sample_num", "--pos_sample_num", type=int, default=1, help="the pos parameter of RandCropByPosNegLabeld.") - parser.add_argument("-neg_sample_num", "--neg_sample_num", type=int, default=1, help="the neg parameter of RandCropByPosNegLabeld.") - parser.add_argument("-cache_rate", "--cache_rate", type=float, default=1.0, help="the cache_rate parameter of CacheDataset.") parser.add_argument("-learning_rate", "--learning_rate", type=float, default=1e-2) - parser.add_argument("-max_epochs", "--max_epochs", type=int, default=1000, help="number of epochs of training.") + parser.add_argument( + "-max_epochs", + "--max_epochs", + type=int, + default=1000, + help="number of epochs of training.", + ) parser.add_argument( "-mode", "--mode", type=str, default="train", choices=["train", "val"] ) - parser.add_argument("-checkpoint", "--checkpoint", type=str, default=None, help="the filename of weights.") - parser.add_argument("-amp", "--amp", type=bool, default=False, help="whether to use automatic mixed precision.") - parser.add_argument("-lr_decay", "--lr_decay", type=bool, default=False, help="whether to use learning rate decay.") - parser.add_argument("-tta_val", "--tta_val", type=bool, default=False, help="whether to use test time augmentation.") - parser.add_argument("-batch_dice", "--batch_dice", type=bool, default=False, help="the batch parameter of DiceCELoss.") + parser.add_argument( + "-checkpoint", + "--checkpoint", + type=str, + default=None, + help="the filename of weights.", + ) + parser.add_argument( + "-amp", + "--amp", + type=bool, + default=False, + help="whether to use automatic mixed precision.", + ) + parser.add_argument( + "-lr_decay", + "--lr_decay", + type=bool, + default=False, + help="whether to use learning rate decay.", + ) + parser.add_argument( + "-tta_val", + "--tta_val", + type=bool, + default=False, + help="whether to use test time augmentation.", + ) + parser.add_argument( + "-batch_dice", + "--batch_dice", + type=bool, + default=False, + help="the batch parameter of DiceCELoss.", + ) args = parser.parse_args() @@ -245,4 +347,3 @@ def train(args): train(args) elif args.mode == "val": validation(args) - \ No newline at end of file From bd79e034bf65eac7a615f9b4e38a43d700f8375a Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 1 Mar 2021 16:05:54 +0800 Subject: [PATCH 08/21] Add inference --- modules/dynunet_pipeline/README.md | 14 +- .../commands/finetune_task04.sh | 6 + .../dynunet_pipeline/commands/infer_task04.sh | 4 + .../dynunet_pipeline/commands/run_task04.sh | 12 -- .../dynunet_pipeline/commands/train_task04.sh | 4 + .../dynunet_pipeline/commands/val_task04.sh | 4 + modules/dynunet_pipeline/create_dataset.py | 8 +- modules/dynunet_pipeline/inference.py | 198 ++++++++++++++++++ modules/dynunet_pipeline/train.py | 11 +- modules/dynunet_pipeline/transforms.py | 24 +-- 10 files changed, 238 insertions(+), 47 deletions(-) create mode 100644 modules/dynunet_pipeline/commands/finetune_task04.sh create mode 100644 modules/dynunet_pipeline/commands/infer_task04.sh delete mode 100644 modules/dynunet_pipeline/commands/run_task04.sh create mode 100644 modules/dynunet_pipeline/commands/train_task04.sh create mode 100644 modules/dynunet_pipeline/commands/val_task04.sh create mode 100644 modules/dynunet_pipeline/inference.py diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index c4f8a33ed8..2dcc2f4c82 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -10,12 +10,20 @@ After getting the dataset, please run `create_datalist.py` to get the datalists Please run `train.py` for training. Please modify the command line arguments according to the actual situation. -A sample training script is shown in `commands/run_task04.sh`, it runs on task 04 and use -fold 0 for validation. You can use `bash commands/run_task04.sh` to run this script. - ## Validation Please run `train.py` and set the argument `mode` to `val` for validation. +## Inference +Please run `inference.py` for inference. + +## Examples +There are some examples in `commands/` and train on task 04 (fold 0 for validation): + +- `train_task04.sh` is used for training. +- `finetune_task04.sh` is used for finetuning. +- `val_task04.sh` is used for validation. +- `infer_task04.sh` is used for inference. + # References [1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. diff --git a/modules/dynunet_pipeline/commands/finetune_task04.sh b/modules/dynunet_pipeline/commands/finetune_task04.sh new file mode 100644 index 0000000000..b8495f9f1b --- /dev/null +++ b/modules/dynunet_pipeline/commands/finetune_task04.sh @@ -0,0 +1,6 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-3 +weight=model.pt +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/infer_task04.sh b/modules/dynunet_pipeline/commands/infer_task04.sh new file mode 100644 index 0000000000..17c9ac325a --- /dev/null +++ b/modules/dynunet_pipeline/commands/infer_task04.sh @@ -0,0 +1,4 @@ +# please replace the weight variable into your actual weight + +weight=model.pt +CUDA_VISIBLE_DEVICES=0 python inference.py -fold 0 -expr_name baseline -task_id 04 -tta_val True -checkpoint $weight diff --git a/modules/dynunet_pipeline/commands/run_task04.sh b/modules/dynunet_pipeline/commands/run_task04.sh deleted file mode 100644 index fc2b72c7b8..0000000000 --- a/modules/dynunet_pipeline/commands/run_task04.sh +++ /dev/null @@ -1,12 +0,0 @@ -# this task requires a single GPU with at least 6GB memory -lr=1e-1 -# train step 1, with large learning rate - -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 -expr_name baseline -tta_val True - -# train step 2, finetune with small learning rate -# please replace the weight variable into your actual weight - -# lr=1e-3 -# weight=your_output_weightfile.pt -# CUDA_VISIBLE_DEVICES=0 python train_gaussian.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/train_task04.sh b/modules/dynunet_pipeline/commands/train_task04.sh new file mode 100644 index 0000000000..0421b32053 --- /dev/null +++ b/modules/dynunet_pipeline/commands/train_task04.sh @@ -0,0 +1,4 @@ +lr=1e-1 +# train step 1, with large learning rate + +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 -expr_name baseline -tta_val True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/val_task04.sh b/modules/dynunet_pipeline/commands/val_task04.sh new file mode 100644 index 0000000000..bf57d9b75e --- /dev/null +++ b/modules/dynunet_pipeline/commands/val_task04.sh @@ -0,0 +1,4 @@ +# please replace the weight variable into your actual weight + +weight=model.pt +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -expr_name baseline -task_id 04 -tta_val True -checkpoint $weight -mode val \ No newline at end of file diff --git a/modules/dynunet_pipeline/create_dataset.py b/modules/dynunet_pipeline/create_dataset.py index 5b375d43b8..42c3bf5e58 100644 --- a/modules/dynunet_pipeline/create_dataset.py +++ b/modules/dynunet_pipeline/create_dataset.py @@ -1,11 +1,7 @@ import os -from monai.data import ( - CacheDataset, - DataLoader, - load_decathlon_datalist, - load_decathlon_properties, -) +from monai.data import (CacheDataset, DataLoader, load_decathlon_datalist, + load_decathlon_properties) from task_params import task_name from transforms import get_task_transforms diff --git a/modules/dynunet_pipeline/inference.py b/modules/dynunet_pipeline/inference.py new file mode 100644 index 0000000000..9b4e5d94df --- /dev/null +++ b/modules/dynunet_pipeline/inference.py @@ -0,0 +1,198 @@ +import os +from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser + +import nibabel as nib +import numpy as np +import torch +import torch.nn as nn +from monai.apps import DecathlonDataset +from monai.data import DataLoader +from monai.data.utils import to_affine_nd +from monai.inferers import SlidingWindowInferer +from monai.networks.nets import DynUNet +from monai.transforms import AsDiscrete + +from create_network import get_kernels_strides, get_network +from inferrer import DynUNetInferrer +from task_params import (deep_supr_num, patch_size, + task_name) +from transforms import get_task_transforms, recovery_prediction + + +def inference(args): + # load hyper parameters + root_dir = args.root_dir + task_id = args.task_id + val_num_workers = args.val_num_workers + checkpoint = args.checkpoint + val_output_dir = "./runs_{}_fold{}_{}/".format( + args.task_id, args.fold, args.expr_name + ) + sw_batch_size = args.sw_batch_size + infer_output_dir = os.path.join(val_output_dir, task_name[task_id]) + window_mode = args.window_mode + eval_overlap = args.eval_overlap + amp = args.amp + tta_val = args.tta_val + + if not os.path.exists(infer_output_dir): + os.makedirs(infer_output_dir) + + transform_params = (args.pos_sample_num, args.neg_sample_num, args.num_samples) + test_transform = get_task_transforms("test", task_id, *transform_params) + + test_ds = DecathlonDataset( + root_dir=root_dir, + task=task_name[task_id], + transform=test_transform, + section="test", + download=False, + num_workers=4, + ) + + test_loader = DataLoader( + test_ds, batch_size=1, shuffle=False, num_workers=val_num_workers + ) + # produce the network + device = torch.device("cuda:0") + properties = test_ds.get_properties(keys=["labels", "modality"]) + n_classes = len(properties["labels"]) + net = get_network(device, properties, task_id, val_output_dir, checkpoint) + + net.eval() + + inferrer = DynUNetInferrer( + device=device, + val_data_loader=test_loader, + network=net, + output_dir=val_output_dir, + n_classes=n_classes, + inferer=SlidingWindowInferer( + roi_size=patch_size[task_id], + sw_batch_size=sw_batch_size, + overlap=eval_overlap, + mode=window_mode, + ), + amp=amp, + tta_val=tta_val, + ) + + inferrer.run() + + +if __name__ == "__main__": + parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) + parser.add_argument("-fold", "--fold", type=int, default=0, help="0-5") + parser.add_argument( + "-task_id", "--task_id", type=str, default="02", help="task 01 to 10" + ) + parser.add_argument( + "-root_dir", + "--root_dir", + type=str, + default="/workspace/data/medical/", + help="dataset path", + ) + parser.add_argument( + "-expr_name", + "--expr_name", + type=str, + default="expr", + help="the suffix of the experiment's folder", + ) + parser.add_argument( + "-train_num_workers", + "--train_num_workers", + type=int, + default=4, + help="the num_workers parameter of training dataloader.", + ) + parser.add_argument( + "-val_num_workers", + "--val_num_workers", + type=int, + default=1, + help="the num_workers parameter of validation dataloader.", + ) + parser.add_argument( + "-interval", + "--interval", + type=int, + default=5, + help="the validation interval under epoch level.", + ) + parser.add_argument( + "-eval_overlap", + "--eval_overlap", + type=float, + default=0.5, + help="the overlap parameter of SlidingWindowInferer.", + ) + parser.add_argument( + "-sw_batch_size", + "--sw_batch_size", + type=int, + default=4, + help="the sw_batch_size parameter of SlidingWindowInferer.", + ) + parser.add_argument( + "-window_mode", + "--window_mode", + type=str, + default="gaussian", + choices=["constant", "gaussian"], + help="the mode parameter for SlidingWindowInferer.", + ) + parser.add_argument( + "-num_samples", + "--num_samples", + type=int, + default=3, + help="the num_samples parameter of RandCropByPosNegLabeld.", + ) + parser.add_argument( + "-pos_sample_num", + "--pos_sample_num", + type=int, + default=1, + help="the pos parameter of RandCropByPosNegLabeld.", + ) + parser.add_argument( + "-neg_sample_num", + "--neg_sample_num", + type=int, + default=1, + help="the neg parameter of RandCropByPosNegLabeld.", + ) + parser.add_argument( + "-cache_rate", + "--cache_rate", + type=float, + default=1.0, + help="the cache_rate parameter of CacheDataset.", + ) + parser.add_argument( + "-checkpoint", + "--checkpoint", + type=str, + default=None, + help="the filename of weights.", + ) + parser.add_argument("-multi_gpu", "--multi_gpu", type=bool, default=False) + parser.add_argument( + "-amp", + "--amp", + type=bool, + default=False, + help="whether to use automatic mixed precision.", + ) + parser.add_argument( + "-tta_val", + "--tta_val", + type=bool, + default=False, + help="whether to use test time augmentation.", + ) + + args = parser.parse_args() + inference(args) diff --git a/modules/dynunet_pipeline/train.py b/modules/dynunet_pipeline/train.py index f6b35522b5..23715f06e6 100644 --- a/modules/dynunet_pipeline/train.py +++ b/modules/dynunet_pipeline/train.py @@ -3,13 +3,8 @@ from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser import torch -from monai.handlers import ( - CheckpointSaver, - LrScheduleHandler, - MeanDice, - StatsHandler, - ValidationHandler, -) +from monai.handlers import (CheckpointSaver, LrScheduleHandler, MeanDice, + StatsHandler, ValidationHandler) from monai.inferers import SimpleInferer, SlidingWindowInferer from monai.losses import DiceCELoss @@ -201,7 +196,7 @@ def train(args): parser = ArgumentParser(formatter_class=ArgumentDefaultsHelpFormatter) parser.add_argument("-fold", "--fold", type=int, default=0, help="0-5") parser.add_argument( - "-task_id", "--task_id", type=str, default="02", help="task 01 to 10" + "-task_id", "--task_id", type=str, default="04", help="task 01 to 10" ) parser.add_argument( "-root_dir", diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py index 34f26a80d7..56918b1574 100644 --- a/modules/dynunet_pipeline/transforms.py +++ b/modules/dynunet_pipeline/transforms.py @@ -1,22 +1,10 @@ import numpy as np -from monai.transforms import ( - AddChanneld, - AsChannelFirstd, - CastToTyped, - Compose, - CropForegroundd, - LoadImaged, - NormalizeIntensity, - RandCropByPosNegLabeld, - RandFlipd, - RandGaussianNoised, - RandGaussianSmoothd, - RandScaleIntensityd, - RandZoomd, - SpatialCrop, - SpatialPadd, - ToTensord, -) +from monai.transforms import (AddChanneld, AsChannelFirstd, CastToTyped, + Compose, CropForegroundd, LoadImaged, + NormalizeIntensity, RandCropByPosNegLabeld, + RandFlipd, RandGaussianNoised, + RandGaussianSmoothd, RandScaleIntensityd, + RandZoomd, SpatialCrop, SpatialPadd, ToTensord) from monai.transforms.compose import MapTransform from monai.transforms.utils import generate_spatial_bounding_box from skimage.transform import resize From b233e618e35c5df4e60e80f9b62bbcc47df6dc13 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 1 Mar 2021 20:42:54 +0800 Subject: [PATCH 09/21] Add multigpu support --- modules/dynunet_pipeline/README.md | 3 +- .../commands/finetune_multi_gpu_task04.sh | 11 +++ .../commands/finetune_task04.sh | 4 +- .../commands/infer_multi_gpu_task04.sh | 7 ++ .../commands/train_multi_gpu_task04.sh | 7 ++ .../dynunet_pipeline/commands/train_task04.sh | 5 +- .../commands/val_multi_gpu_task04.sh | 7 ++ .../dynunet_pipeline/commands/val_task04.sh | 3 +- modules/dynunet_pipeline/create_dataset.py | 38 ++++++-- modules/dynunet_pipeline/create_network.py | 4 +- modules/dynunet_pipeline/inference.py | 71 +++++++------- modules/dynunet_pipeline/train.py | 97 ++++++++++++++----- 12 files changed, 186 insertions(+), 71 deletions(-) create mode 100644 modules/dynunet_pipeline/commands/finetune_multi_gpu_task04.sh create mode 100644 modules/dynunet_pipeline/commands/infer_multi_gpu_task04.sh create mode 100644 modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh create mode 100644 modules/dynunet_pipeline/commands/val_multi_gpu_task04.sh diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 2dcc2f4c82..290a5024ad 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -8,7 +8,7 @@ After getting the dataset, please run `create_datalist.py` to get the datalists ## Training Please run `train.py` for training. Please modify the command line arguments according -to the actual situation. +to the actual situation, such as `determinism_flag` for deterministic training, `amp` for automatic mixed precision. ## Validation Please run `train.py` and set the argument `mode` to `val` for validation. @@ -23,6 +23,7 @@ There are some examples in `commands/` and train on task 04 (fold 0 for validati - `finetune_task04.sh` is used for finetuning. - `val_task04.sh` is used for validation. - `infer_task04.sh` is used for inference. +- If you need to use multiple GPUs, please run scripts that contain `multi_gpu`. # References [1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. diff --git a/modules/dynunet_pipeline/commands/finetune_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/finetune_multi_gpu_task04.sh new file mode 100644 index 0000000000..15d6a326fd --- /dev/null +++ b/modules/dynunet_pipeline/commands/finetune_multi_gpu_task04.sh @@ -0,0 +1,11 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-3 +weight=model.pt +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold 0 -train_num_workers 4 \ + -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 \ + -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ + -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/finetune_task04.sh b/modules/dynunet_pipeline/commands/finetune_task04.sh index b8495f9f1b..63266f94f6 100644 --- a/modules/dynunet_pipeline/commands/finetune_task04.sh +++ b/modules/dynunet_pipeline/commands/finetune_task04.sh @@ -3,4 +3,6 @@ lr=1e-3 weight=model.pt -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 \ +-interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 \ +-pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/infer_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/infer_multi_gpu_task04.sh new file mode 100644 index 0000000000..cb2845c3d3 --- /dev/null +++ b/modules/dynunet_pipeline/commands/infer_multi_gpu_task04.sh @@ -0,0 +1,7 @@ +# please replace the weight variable into your actual weight + +weight=model.pt +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + inference.py -fold 0 -expr_name baseline -task_id 04 -tta_val True \ + -checkpoint $weight -multi_gpu True diff --git a/modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh new file mode 100644 index 0000000000..4ef294a910 --- /dev/null +++ b/modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh @@ -0,0 +1,7 @@ +lr=1e-1 +# train step 1, with large learning rate +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 \ + -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 \ + -expr_name baseline -tta_val True -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/train_task04.sh b/modules/dynunet_pipeline/commands/train_task04.sh index 0421b32053..100411b44f 100644 --- a/modules/dynunet_pipeline/commands/train_task04.sh +++ b/modules/dynunet_pipeline/commands/train_task04.sh @@ -1,4 +1,5 @@ lr=1e-1 # train step 1, with large learning rate - -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 -expr_name baseline -tta_val True \ No newline at end of file +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 \ +-interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 \ +-pos_sample_num 2 -expr_name baseline -tta_val True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/val_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/val_multi_gpu_task04.sh new file mode 100644 index 0000000000..eee795638f --- /dev/null +++ b/modules/dynunet_pipeline/commands/val_multi_gpu_task04.sh @@ -0,0 +1,7 @@ +# please replace the weight variable into your actual weight + +weight=model.pt +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold 0 -expr_name baseline -task_id 04 -tta_val True \ + -checkpoint $weight -mode val -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/val_task04.sh b/modules/dynunet_pipeline/commands/val_task04.sh index bf57d9b75e..e78bf0a3e6 100644 --- a/modules/dynunet_pipeline/commands/val_task04.sh +++ b/modules/dynunet_pipeline/commands/val_task04.sh @@ -1,4 +1,5 @@ # please replace the weight variable into your actual weight weight=model.pt -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -expr_name baseline -task_id 04 -tta_val True -checkpoint $weight -mode val \ No newline at end of file +CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -expr_name baseline -task_id 04 \ +-tta_val True -checkpoint $weight -mode val \ No newline at end of file diff --git a/modules/dynunet_pipeline/create_dataset.py b/modules/dynunet_pipeline/create_dataset.py index 42c3bf5e58..390206f523 100644 --- a/modules/dynunet_pipeline/create_dataset.py +++ b/modules/dynunet_pipeline/create_dataset.py @@ -1,7 +1,8 @@ import os +import torch.distributed as dist from monai.data import (CacheDataset, DataLoader, load_decathlon_datalist, - load_decathlon_properties) + load_decathlon_properties, partition_dataset) from task_params import task_name from transforms import get_task_transforms @@ -15,9 +16,13 @@ def get_data(args, batch_size=1, mode="train"): datalist_path = args.datalist_path dataset_path = os.path.join(root_dir, task_name[task_id]) transform_params = (args.pos_sample_num, args.neg_sample_num, args.num_samples) + multi_gpu_flag = args.multi_gpu transform = get_task_transforms(mode, task_id, *transform_params) - list_key = "{}_fold{}".format(mode, fold) + if mode == "test": + list_key = "test" + else: + list_key = "{}_fold{}".format(mode, fold) datalist_name = "dataset_task{}.json".format(task_id) property_keys = [ @@ -35,35 +40,54 @@ def get_data(args, batch_size=1, mode="train"): datalist = load_decathlon_datalist( os.path.join(datalist_path, datalist_name), True, list_key, dataset_path ) + properties = load_decathlon_properties( os.path.join(datalist_path, datalist_name), property_keys ) - if mode == "validation": + if mode in ["validation", "test"]: + if multi_gpu_flag: + datalist = partition_dataset( + data=datalist, + shuffle=False, + num_partitions=dist.get_world_size(), + even_divisible=False, + )[dist.get_rank()] + val_ds = CacheDataset( data=datalist, transform=transform, num_workers=4, ) - val_loader = DataLoader( + data_loader = DataLoader( val_ds, batch_size=batch_size, shuffle=False, num_workers=args.val_num_workers, ) - return properties, val_loader elif mode == "train": + if multi_gpu_flag: + datalist = partition_dataset( + data=datalist, + shuffle=True, + num_partitions=dist.get_world_size(), + even_divisible=True, + )[dist.get_rank()] + train_ds = CacheDataset( data=datalist, transform=transform, num_workers=8, cache_rate=args.cache_rate, ) - train_loader = DataLoader( + data_loader = DataLoader( train_ds, batch_size=batch_size, shuffle=True, num_workers=args.train_num_workers, drop_last=True, ) - return properties, train_loader + else: + raise ValueError(f"mode should be train, validation or test.") + + return properties, data_loader diff --git a/modules/dynunet_pipeline/create_network.py b/modules/dynunet_pipeline/create_network.py index 6cdd9df789..0f09f841c3 100644 --- a/modules/dynunet_pipeline/create_network.py +++ b/modules/dynunet_pipeline/create_network.py @@ -28,7 +28,7 @@ def get_kernels_strides(task_id): return kernels, strides -def get_network(device, properties, task_id, pretrain_path, checkpoint=None): +def get_network(properties, task_id, pretrain_path, checkpoint=None): n_class = len(properties["labels"]) in_channels = len(properties["modality"]) kernels, strides = get_kernels_strides(task_id) @@ -43,7 +43,7 @@ def get_network(device, properties, task_id, pretrain_path, checkpoint=None): norm_name="instance", deep_supervision=True, deep_supr_num=deep_supr_num[task_id], - ).to(device) + ) if checkpoint is not None: pretrain_path = os.path.join(pretrain_path, checkpoint) diff --git a/modules/dynunet_pipeline/inference.py b/modules/dynunet_pipeline/inference.py index 9b4e5d94df..ef144bd62f 100644 --- a/modules/dynunet_pipeline/inference.py +++ b/modules/dynunet_pipeline/inference.py @@ -1,29 +1,20 @@ import os from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser -import nibabel as nib -import numpy as np import torch -import torch.nn as nn -from monai.apps import DecathlonDataset -from monai.data import DataLoader -from monai.data.utils import to_affine_nd +import torch.distributed as dist from monai.inferers import SlidingWindowInferer -from monai.networks.nets import DynUNet -from monai.transforms import AsDiscrete +from torch.nn.parallel import DistributedDataParallel -from create_network import get_kernels_strides, get_network +from create_dataset import get_data +from create_network import get_network from inferrer import DynUNetInferrer -from task_params import (deep_supr_num, patch_size, - task_name) -from transforms import get_task_transforms, recovery_prediction +from task_params import patch_size, task_name def inference(args): # load hyper parameters - root_dir = args.root_dir task_id = args.task_id - val_num_workers = args.val_num_workers checkpoint = args.checkpoint val_output_dir = "./runs_{}_fold{}_{}/".format( args.task_id, args.fold, args.expr_name @@ -34,30 +25,28 @@ def inference(args): eval_overlap = args.eval_overlap amp = args.amp tta_val = args.tta_val + multi_gpu_flag = args.multi_gpu + local_rank = args.local_rank if not os.path.exists(infer_output_dir): os.makedirs(infer_output_dir) - transform_params = (args.pos_sample_num, args.neg_sample_num, args.num_samples) - test_transform = get_task_transforms("test", task_id, *transform_params) + if multi_gpu_flag: + dist.init_process_group(backend="nccl", init_method="env://") + device = torch.device(f"cuda:{local_rank}") + torch.cuda.set_device(device) + else: + device = torch.device("cuda") - test_ds = DecathlonDataset( - root_dir=root_dir, - task=task_name[task_id], - transform=test_transform, - section="test", - download=False, - num_workers=4, - ) + properties, test_loader = get_data(args, mode="test") + + net = get_network(properties, task_id, val_output_dir, checkpoint) + net = net.to(device) - test_loader = DataLoader( - test_ds, batch_size=1, shuffle=False, num_workers=val_num_workers - ) - # produce the network - device = torch.device("cuda:0") - properties = test_ds.get_properties(keys=["labels", "modality"]) - n_classes = len(properties["labels"]) - net = get_network(device, properties, task_id, val_output_dir, checkpoint) + if multi_gpu_flag: + net = DistributedDataParallel( + module=net, device_ids=[device], find_unused_parameters=True + ) net.eval() @@ -66,7 +55,7 @@ def inference(args): val_data_loader=test_loader, network=net, output_dir=val_output_dir, - n_classes=n_classes, + n_classes=len(properties["labels"]), inferer=SlidingWindowInferer( roi_size=patch_size[task_id], sw_batch_size=sw_batch_size, @@ -100,6 +89,12 @@ def inference(args): default="expr", help="the suffix of the experiment's folder", ) + parser.add_argument( + "-datalist_path", + "--datalist_path", + type=str, + default="config/", + ) parser.add_argument( "-train_num_workers", "--train_num_workers", @@ -178,7 +173,6 @@ def inference(args): default=None, help="the filename of weights.", ) - parser.add_argument("-multi_gpu", "--multi_gpu", type=bool, default=False) parser.add_argument( "-amp", "--amp", @@ -193,6 +187,13 @@ def inference(args): default=False, help="whether to use test time augmentation.", ) - + parser.add_argument( + "-multi_gpu", + "--multi_gpu", + type=bool, + default=False, + help="whether to use multiple GPUs for training.", + ) + parser.add_argument("-local_rank", "--local_rank", type=int, default=0) args = parser.parse_args() inference(args) diff --git a/modules/dynunet_pipeline/train.py b/modules/dynunet_pipeline/train.py index 23715f06e6..678089b7c3 100644 --- a/modules/dynunet_pipeline/train.py +++ b/modules/dynunet_pipeline/train.py @@ -3,10 +3,13 @@ from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser import torch +import torch.distributed as dist from monai.handlers import (CheckpointSaver, LrScheduleHandler, MeanDice, StatsHandler, ValidationHandler) from monai.inferers import SimpleInferer, SlidingWindowInferer from monai.losses import DiceCELoss +from monai.utils import set_determinism +from torch.nn.parallel import DistributedDataParallel from create_dataset import get_data from create_network import get_network @@ -22,15 +25,31 @@ def validation(args): tta_val = args.tta_val window_mode = args.window_mode eval_overlap = args.eval_overlap + multi_gpu_flag = args.multi_gpu + local_rank = args.local_rank amp = args.amp - properties, val_loader = get_data(args, mode="validation") - n_classes = len(properties["labels"]) # produce the network checkpoint = args.checkpoint val_output_dir = "./runs_{}_fold{}_{}/".format(task_id, args.fold, args.expr_name) - device = torch.device("cuda:0") - net = get_network(device, properties, task_id, val_output_dir, checkpoint) + + if multi_gpu_flag: + dist.init_process_group(backend="nccl", init_method="env://") + device = torch.device(f"cuda:{local_rank}") + torch.cuda.set_device(device) + else: + device = torch.device("cuda") + + properties, val_loader = get_data(args, mode="validation") + net = get_network(properties, task_id, val_output_dir, checkpoint) + net = net.to(device) + + if multi_gpu_flag: + net = DistributedDataParallel( + module=net, device_ids=[device], find_unused_parameters=True + ) + + n_classes = len(properties["labels"]) net.eval() @@ -58,11 +77,14 @@ def validation(args): ) evaluator.run() - print(evaluator.state.metrics) - results = evaluator.state.metric_details["val_mean_dice"] - if n_classes > 2: - for i in range(n_classes - 1): - print("mean dice for label {} is {}".format(i + 1, results[:, i].mean())) + if local_rank == 0: + print(evaluator.state.metrics) + results = evaluator.state.metric_details["val_mean_dice"] + if n_classes > 2: + for i in range(n_classes - 1): + print( + "mean dice for label {} is {}".format(i + 1, results[:, i].mean()) + ) def train(args): @@ -75,6 +97,7 @@ def train(args): interval = args.interval learning_rate = args.learning_rate max_epochs = args.max_epochs + multi_gpu_flag = args.multi_gpu amp_flag = args.amp lr_decay_flag = args.lr_decay sw_batch_size = args.sw_batch_size @@ -82,17 +105,36 @@ def train(args): batch_dice = args.batch_dice window_mode = args.window_mode eval_overlap = args.eval_overlap + local_rank = args.local_rank + determinism_flag = args.determinism_flag + determinism_seed = args.determinism_seed + if determinism_flag: + set_determinism(seed=determinism_seed) + if local_rank == 0: + print("Using deterministic training.") # transforms train_batch_size = data_loader_params[task_id]["batch_size"] + if multi_gpu_flag: + dist.init_process_group(backend="nccl", init_method="env://") + + device = torch.device(f"cuda:{local_rank}") + torch.cuda.set_device(device) + else: + device = torch.device("cuda") properties, val_loader = get_data(args, mode="validation") _, train_loader = get_data(args, batch_size=train_batch_size, mode="train") # produce the network - device = torch.device("cuda:0") checkpoint = args.checkpoint - net = get_network(device, properties, task_id, val_output_dir, checkpoint) + net = get_network(properties, task_id, val_output_dir, checkpoint) + net = net.to(device) + + if multi_gpu_flag: + net = DistributedDataParallel( + module=net, device_ids=[device], find_unused_parameters=True + ) optimizer = torch.optim.SGD( net.parameters(), @@ -178,16 +220,10 @@ def train(args): chandler.setFormatter(formatter) # Add both handlers - logger.addHandler(fhandler) - logger.addHandler(chandler) - logger.setLevel(logging.INFO) - - # Show the handlers - logger.handlers - - # Log Something - logger.info("Test info") - logger.debug("Test debug") + if local_rank == 0: + logger.addHandler(fhandler) + logger.addHandler(chandler) + logger.setLevel(logging.INFO) trainer.run() @@ -335,7 +371,24 @@ def train(args): default=False, help="the batch parameter of DiceCELoss.", ) - + parser.add_argument( + "-determinism_flag", "--determinism_flag", type=bool, default=False + ) + parser.add_argument( + "-determinism_seed", + "--determinism_seed", + type=int, + default=0, + help="the seed used in deterministic training", + ) + parser.add_argument( + "-multi_gpu", + "--multi_gpu", + type=bool, + default=False, + help="whether to use multiple GPUs for training.", + ) + parser.add_argument("-local_rank", "--local_rank", type=int, default=0) args = parser.parse_args() if args.mode == "train": From cc3717b54a6fb45b67baa1d7a65d660ba20e1b4d Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 1 Mar 2021 20:49:34 +0800 Subject: [PATCH 10/21] Add reference for transform --- modules/dynunet_pipeline/transforms.py | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py index 56918b1574..ccff36e076 100644 --- a/modules/dynunet_pipeline/transforms.py +++ b/modules/dynunet_pipeline/transforms.py @@ -245,6 +245,11 @@ def recovery_prediction(prediction, shape, anisotrophy_flag): class PreprocessAnisotropic(MapTransform): +""" + This transform class takes NNUNet's preprocessing method for reference. + That code is in: + https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/preprocessing/preprocessing.py +""" def __init__( self, keys, From 5d261830eb9fb68f0988918337b730877d9827a8 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 1 Mar 2021 21:06:33 +0800 Subject: [PATCH 11/21] Fix doc string error --- modules/dynunet_pipeline/transforms.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py index ccff36e076..451d639aa0 100644 --- a/modules/dynunet_pipeline/transforms.py +++ b/modules/dynunet_pipeline/transforms.py @@ -245,11 +245,13 @@ def recovery_prediction(prediction, shape, anisotrophy_flag): class PreprocessAnisotropic(MapTransform): -""" - This transform class takes NNUNet's preprocessing method for reference. - That code is in: - https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/preprocessing/preprocessing.py -""" + """ + This transform class takes NNUNet's preprocessing method for reference. + That code is in: + https://github.com/MIC-DKFZ/nnUNet/blob/master/nnunet/preprocessing/preprocessing.py + + """ + def __init__( self, keys, From 0db476fbe4bc70b86f7bf838b763aa7cf7fefd5f Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Wed, 3 Mar 2021 23:31:42 +0800 Subject: [PATCH 12/21] Update transforms --- modules/dynunet_pipeline/README.md | 11 ++++--- .../finetune.sh} | 3 +- .../finetune_multi_gpu.sh} | 0 .../{infer_task04.sh => task04/infer.sh} | 0 .../infer_multi_gpu.sh} | 0 .../{train_task04.sh => task04/train.sh} | 6 ++-- .../train_multi_gpu.sh} | 3 +- .../commands/{val_task04.sh => task04/val.sh} | 0 .../val_multi_gpu.sh} | 0 modules/dynunet_pipeline/transforms.py | 32 ++++++------------- 10 files changed, 23 insertions(+), 32 deletions(-) rename modules/dynunet_pipeline/commands/{finetune_task04.sh => task04/finetune.sh} (86%) rename modules/dynunet_pipeline/commands/{finetune_multi_gpu_task04.sh => task04/finetune_multi_gpu.sh} (100%) rename modules/dynunet_pipeline/commands/{infer_task04.sh => task04/infer.sh} (100%) rename modules/dynunet_pipeline/commands/{infer_multi_gpu_task04.sh => task04/infer_multi_gpu.sh} (100%) rename modules/dynunet_pipeline/commands/{train_task04.sh => task04/train.sh} (66%) rename modules/dynunet_pipeline/commands/{train_multi_gpu_task04.sh => task04/train_multi_gpu.sh} (99%) rename modules/dynunet_pipeline/commands/{val_task04.sh => task04/val.sh} (100%) rename modules/dynunet_pipeline/commands/{val_multi_gpu_task04.sh => task04/val_multi_gpu.sh} (100%) diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 290a5024ad..7fa021699b 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -17,12 +17,13 @@ Please run `train.py` and set the argument `mode` to `val` for validation. Please run `inference.py` for inference. ## Examples -There are some examples in `commands/` and train on task 04 (fold 0 for validation): +There are some examples in `commands/` and based on task 04 (fold 0 for validation). +For instance: -- `train_task04.sh` is used for training. -- `finetune_task04.sh` is used for finetuning. -- `val_task04.sh` is used for validation. -- `infer_task04.sh` is used for inference. +- `train.sh` is used for training. +- `finetune.sh` is used for finetuning. +- `val.sh` is used for validation. +- `infer.sh` is used for inference. - If you need to use multiple GPUs, please run scripts that contain `multi_gpu`. # References diff --git a/modules/dynunet_pipeline/commands/finetune_task04.sh b/modules/dynunet_pipeline/commands/task04/finetune.sh similarity index 86% rename from modules/dynunet_pipeline/commands/finetune_task04.sh rename to modules/dynunet_pipeline/commands/task04/finetune.sh index 63266f94f6..96c5414b09 100644 --- a/modules/dynunet_pipeline/commands/finetune_task04.sh +++ b/modules/dynunet_pipeline/commands/task04/finetune.sh @@ -5,4 +5,5 @@ lr=1e-3 weight=model.pt CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 \ -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 \ --pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ No newline at end of file +-pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ +-determinism_flag True -determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/finetune_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/task04/finetune_multi_gpu.sh similarity index 100% rename from modules/dynunet_pipeline/commands/finetune_multi_gpu_task04.sh rename to modules/dynunet_pipeline/commands/task04/finetune_multi_gpu.sh diff --git a/modules/dynunet_pipeline/commands/infer_task04.sh b/modules/dynunet_pipeline/commands/task04/infer.sh similarity index 100% rename from modules/dynunet_pipeline/commands/infer_task04.sh rename to modules/dynunet_pipeline/commands/task04/infer.sh diff --git a/modules/dynunet_pipeline/commands/infer_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/task04/infer_multi_gpu.sh similarity index 100% rename from modules/dynunet_pipeline/commands/infer_multi_gpu_task04.sh rename to modules/dynunet_pipeline/commands/task04/infer_multi_gpu.sh diff --git a/modules/dynunet_pipeline/commands/train_task04.sh b/modules/dynunet_pipeline/commands/task04/train.sh similarity index 66% rename from modules/dynunet_pipeline/commands/train_task04.sh rename to modules/dynunet_pipeline/commands/task04/train.sh index 100411b44f..075fe3c80d 100644 --- a/modules/dynunet_pipeline/commands/train_task04.sh +++ b/modules/dynunet_pipeline/commands/task04/train.sh @@ -1,5 +1,7 @@ -lr=1e-1 # train step 1, with large learning rate + +lr=1e-1 CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 \ -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 \ --pos_sample_num 2 -expr_name baseline -tta_val True \ No newline at end of file +-pos_sample_num 2 -expr_name baseline -tta_val True -determinism_flag True \ +-determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh similarity index 99% rename from modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh rename to modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh index 4ef294a910..db8fa0f362 100644 --- a/modules/dynunet_pipeline/commands/train_multi_gpu_task04.sh +++ b/modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh @@ -1,5 +1,6 @@ -lr=1e-1 # train step 1, with large learning rate + +lr=1e-1 python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ --master_addr="localhost" --master_port=1234 \ train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 \ diff --git a/modules/dynunet_pipeline/commands/val_task04.sh b/modules/dynunet_pipeline/commands/task04/val.sh similarity index 100% rename from modules/dynunet_pipeline/commands/val_task04.sh rename to modules/dynunet_pipeline/commands/task04/val.sh diff --git a/modules/dynunet_pipeline/commands/val_multi_gpu_task04.sh b/modules/dynunet_pipeline/commands/task04/val_multi_gpu.sh similarity index 100% rename from modules/dynunet_pipeline/commands/val_multi_gpu_task04.sh rename to modules/dynunet_pipeline/commands/task04/val_multi_gpu.sh diff --git a/modules/dynunet_pipeline/transforms.py b/modules/dynunet_pipeline/transforms.py index 451d639aa0..7a0341e2e4 100644 --- a/modules/dynunet_pipeline/transforms.py +++ b/modules/dynunet_pipeline/transforms.py @@ -1,6 +1,6 @@ import numpy as np -from monai.transforms import (AddChanneld, AsChannelFirstd, CastToTyped, - Compose, CropForegroundd, LoadImaged, +from monai.transforms import (CastToTyped, + Compose, CropForegroundd, EnsureChannelFirstd, LoadImaged, NormalizeIntensity, RandCropByPosNegLabeld, RandFlipd, RandGaussianNoised, RandGaussianSmoothd, RandScaleIntensityd, @@ -13,33 +13,19 @@ def get_task_transforms(mode, task_id, pos_sample_num, neg_sample_num, num_samples): - - # 1. loading for different formats if mode != "test": - load_keys = ["image", "label"] + keys = ["image", "label"] else: - load_keys = ["image"] + keys = ["image"] - if task_id in ["01", "05"]: - load_transforms = [ - LoadImaged(keys=load_keys), - AsChannelFirstd(keys="image"), - ] - if mode != "test": - load_transforms.append(AddChanneld(keys=["label"])) - else: - load_transforms = [ - LoadImaged(keys=load_keys), - AddChanneld(keys=load_keys), - ] + load_transforms = [ + LoadImaged(keys=keys), + EnsureChannelFirstd(keys=keys), + ] # 2. sampling - if mode != "test": - sample_keys = ["image", "label"] - else: - sample_keys = ["image"] sample_transforms = [ PreprocessAnisotropic( - keys=sample_keys, + keys=keys, clip_values=clip_values[task_id], pixdim=spacing[task_id], normalize_values=normalize_values[task_id], From 862976b95f99d53c6dd02a65eaa0aff8d40e0b09 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Thu, 4 Mar 2021 15:56:20 +0800 Subject: [PATCH 13/21] Add task 04 fold 0 scores --- modules/dynunet_pipeline/README.md | 5 +++++ 1 file changed, 5 insertions(+) diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 7fa021699b..549898016f 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -26,6 +26,11 @@ For instance: - `infer.sh` is used for inference. - If you need to use multiple GPUs, please run scripts that contain `multi_gpu`. +With the default settings in `train.sh` and `finetune.sh`, after training and finetuning, you can get around: + +- 0.9007447957992554 for label 1 +- 0.8834863305091858 for label 2 + # References [1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. From b99ea8e95e24aa056fa2b3f4cedc6216b148509a Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Thu, 4 Mar 2021 16:10:48 +0800 Subject: [PATCH 14/21] set param fold in scripts --- modules/dynunet_pipeline/commands/task04/finetune.sh | 10 ++++++---- .../commands/task04/finetune_multi_gpu.sh | 9 +++++---- modules/dynunet_pipeline/commands/task04/infer.sh | 5 ++++- .../commands/task04/infer_multi_gpu.sh | 4 +++- modules/dynunet_pipeline/commands/task04/train.sh | 9 +++++---- .../commands/task04/train_multi_gpu.sh | 4 +++- modules/dynunet_pipeline/commands/task04/val.sh | 6 ++++-- .../dynunet_pipeline/commands/task04/val_multi_gpu.sh | 4 +++- 8 files changed, 33 insertions(+), 18 deletions(-) diff --git a/modules/dynunet_pipeline/commands/task04/finetune.sh b/modules/dynunet_pipeline/commands/task04/finetune.sh index 96c5414b09..88d3acfdd9 100644 --- a/modules/dynunet_pipeline/commands/task04/finetune.sh +++ b/modules/dynunet_pipeline/commands/task04/finetune.sh @@ -2,8 +2,10 @@ # please replace the weight variable into your actual weight lr=1e-3 +fold=0 weight=model.pt -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 \ --interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 \ --pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ --determinism_flag True -determinism_seed 0 \ No newline at end of file + +python train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 1 \ +-learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -checkpoint $weight -determinism_flag True \ +-determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task04/finetune_multi_gpu.sh b/modules/dynunet_pipeline/commands/task04/finetune_multi_gpu.sh index 15d6a326fd..45e38a9b0a 100644 --- a/modules/dynunet_pipeline/commands/task04/finetune_multi_gpu.sh +++ b/modules/dynunet_pipeline/commands/task04/finetune_multi_gpu.sh @@ -2,10 +2,11 @@ # please replace the weight variable into your actual weight lr=1e-3 +fold=0 weight=model.pt + python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ --master_addr="localhost" --master_port=1234 \ - train.py -fold 0 -train_num_workers 4 \ - -interval 1 -num_samples 1 -learning_rate $lr -max_epochs 50 -task_id 04 \ - -pos_sample_num 1 -expr_name baseline -tta_val True -checkpoint $weight \ - -multi_gpu True \ No newline at end of file + train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 1 \ + -learning_rate $lr -max_epochs 50 -task_id 04 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -checkpoint $weight -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task04/infer.sh b/modules/dynunet_pipeline/commands/task04/infer.sh index 17c9ac325a..5bab98900e 100644 --- a/modules/dynunet_pipeline/commands/task04/infer.sh +++ b/modules/dynunet_pipeline/commands/task04/infer.sh @@ -1,4 +1,7 @@ # please replace the weight variable into your actual weight weight=model.pt -CUDA_VISIBLE_DEVICES=0 python inference.py -fold 0 -expr_name baseline -task_id 04 -tta_val True -checkpoint $weight +fold=0 + +python inference.py -fold $fold -expr_name baseline -task_id 04 -tta_val True \ +-checkpoint $weight diff --git a/modules/dynunet_pipeline/commands/task04/infer_multi_gpu.sh b/modules/dynunet_pipeline/commands/task04/infer_multi_gpu.sh index cb2845c3d3..0bde0978a2 100644 --- a/modules/dynunet_pipeline/commands/task04/infer_multi_gpu.sh +++ b/modules/dynunet_pipeline/commands/task04/infer_multi_gpu.sh @@ -1,7 +1,9 @@ # please replace the weight variable into your actual weight weight=model.pt +fold=0 + python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ --master_addr="localhost" --master_port=1234 \ - inference.py -fold 0 -expr_name baseline -task_id 04 -tta_val True \ + inference.py -fold $fold -expr_name baseline -task_id 04 -tta_val True \ -checkpoint $weight -multi_gpu True diff --git a/modules/dynunet_pipeline/commands/task04/train.sh b/modules/dynunet_pipeline/commands/task04/train.sh index 075fe3c80d..56fdf28ebb 100644 --- a/modules/dynunet_pipeline/commands/task04/train.sh +++ b/modules/dynunet_pipeline/commands/task04/train.sh @@ -1,7 +1,8 @@ # train step 1, with large learning rate lr=1e-1 -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -train_num_workers 4 \ --interval 1 -num_samples 1 -learning_rate $lr -max_epochs 500 -task_id 04 \ --pos_sample_num 2 -expr_name baseline -tta_val True -determinism_flag True \ --determinism_seed 0 \ No newline at end of file +fold=0 + +python train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 1 \ +-learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 \ +-expr_name baseline -tta_val True -determinism_flag True -determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh b/modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh index db8fa0f362..6cda660247 100644 --- a/modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh +++ b/modules/dynunet_pipeline/commands/task04/train_multi_gpu.sh @@ -1,8 +1,10 @@ # train step 1, with large learning rate lr=1e-1 +fold=0 + python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ --master_addr="localhost" --master_port=1234 \ - train.py -fold 0 -train_num_workers 4 -interval 1 -num_samples 1 \ + train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 1 \ -learning_rate $lr -max_epochs 500 -task_id 04 -pos_sample_num 2 \ -expr_name baseline -tta_val True -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task04/val.sh b/modules/dynunet_pipeline/commands/task04/val.sh index e78bf0a3e6..e69b57fc18 100644 --- a/modules/dynunet_pipeline/commands/task04/val.sh +++ b/modules/dynunet_pipeline/commands/task04/val.sh @@ -1,5 +1,7 @@ # please replace the weight variable into your actual weight weight=model.pt -CUDA_VISIBLE_DEVICES=0 python train.py -fold 0 -expr_name baseline -task_id 04 \ --tta_val True -checkpoint $weight -mode val \ No newline at end of file +fold=0 + +python train.py -fold $fold -expr_name baseline -task_id 04 -tta_val True \ +-checkpoint $weight -mode val \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task04/val_multi_gpu.sh b/modules/dynunet_pipeline/commands/task04/val_multi_gpu.sh index eee795638f..c1a8c4dcbf 100644 --- a/modules/dynunet_pipeline/commands/task04/val_multi_gpu.sh +++ b/modules/dynunet_pipeline/commands/task04/val_multi_gpu.sh @@ -1,7 +1,9 @@ # please replace the weight variable into your actual weight weight=model.pt +fold=0 + python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ --master_addr="localhost" --master_port=1234 \ - train.py -fold 0 -expr_name baseline -task_id 04 -tta_val True \ + train.py -fold $fold -expr_name baseline -task_id 04 -tta_val True \ -checkpoint $weight -mode val -multi_gpu True \ No newline at end of file From e0897ba421de23ec09d90621c21b7361cf354f74 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Mon, 8 Mar 2021 23:22:29 +0800 Subject: [PATCH 15/21] Add val results for task04 --- modules/dynunet_pipeline/README.md | 13 +++++++++---- 1 file changed, 9 insertions(+), 4 deletions(-) diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 549898016f..69ea236bdb 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -1,5 +1,5 @@ # Overview -This pipeline is modified from NNUnet [1,2] which wins the "Medical Segmentation Decathlon Challenge 2018" and open sourced from https://github.com/MIC-DKFZ/nnUNet. +This pipeline is modified from NNUnet [1][2] which wins the "Medical Segmentation Decathlon Challenge 2018" and open sourced from https://github.com/MIC-DKFZ/nnUNet. ## Data The source decathlon datasets can be found from http://medicaldecathlon.com/. @@ -26,10 +26,15 @@ For instance: - `infer.sh` is used for inference. - If you need to use multiple GPUs, please run scripts that contain `multi_gpu`. -With the default settings in `train.sh` and `finetune.sh`, after training and finetuning, you can get around: +With the default settings in `train.sh` and `finetune.sh`, you can get around the following validation results: -- 0.9007447957992554 for label 1 -- 0.8834863305091858 for label 2 +| | 0 | 1 | 2 | 3 | 4 | Mean | NNUNet val | +|---------|--------|--------|--------|--------|--------|--------|------------| +| class 1 | 0.9007 | 0.8930 | 0.8985 | 0.8979 | 0.9015 | 0.8983 | 0.8975 | +| class 2 | 0.8835 | 0.8774 | 0.8826 | 0.8818 | 0.8828 | 0.8816 | 0.8807 | + +Comments: +- The results of NNUNet come from `3D_fullres` version, which is also the DynUNet used version. The scores are gotten from [1]. # References [1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. From dd72c828318bb1b956e9789efce2461bc719f320 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Tue, 9 Mar 2021 22:23:40 +0800 Subject: [PATCH 16/21] Add scripts for 10 tasks and results in readme --- modules/dynunet_pipeline/README.md | 55 +++++++++++++++++-- .../commands/task01/finetune_multi_gpu.sh | 12 ++++ .../commands/task01/train_multi_gpu.sh | 12 ++++ .../commands/task02/finetune.sh | 11 ++++ .../dynunet_pipeline/commands/task02/train.sh | 8 +++ .../commands/task03/finetune_multi_gpu.sh | 13 +++++ .../commands/task03/train_multi_gpu.sh | 11 ++++ .../commands/task05/finetune.sh | 11 ++++ .../dynunet_pipeline/commands/task05/train.sh | 8 +++ .../commands/task06/finetune.sh | 11 ++++ .../dynunet_pipeline/commands/task06/train.sh | 9 +++ .../commands/task07/finetune_multi_gpu.sh | 17 ++++++ .../commands/task07/train_multi_gpu.sh | 10 ++++ .../commands/task08/finetune_multi_gpu.sh | 17 ++++++ .../commands/task08/train_multi_gpu.sh | 10 ++++ .../commands/task09/finetune.sh | 11 ++++ .../dynunet_pipeline/commands/task09/train.sh | 9 +++ .../commands/task10/finetune.sh | 14 +++++ .../dynunet_pipeline/commands/task10/train.sh | 9 +++ 19 files changed, 254 insertions(+), 4 deletions(-) create mode 100644 modules/dynunet_pipeline/commands/task01/finetune_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task01/train_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task02/finetune.sh create mode 100644 modules/dynunet_pipeline/commands/task02/train.sh create mode 100644 modules/dynunet_pipeline/commands/task03/finetune_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task03/train_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task05/finetune.sh create mode 100644 modules/dynunet_pipeline/commands/task05/train.sh create mode 100644 modules/dynunet_pipeline/commands/task06/finetune.sh create mode 100644 modules/dynunet_pipeline/commands/task06/train.sh create mode 100644 modules/dynunet_pipeline/commands/task07/finetune_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task07/train_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task08/finetune_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task08/train_multi_gpu.sh create mode 100644 modules/dynunet_pipeline/commands/task09/finetune.sh create mode 100644 modules/dynunet_pipeline/commands/task09/train.sh create mode 100644 modules/dynunet_pipeline/commands/task10/finetune.sh create mode 100644 modules/dynunet_pipeline/commands/task10/train.sh diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 69ea236bdb..442a138f41 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -17,7 +17,7 @@ Please run `train.py` and set the argument `mode` to `val` for validation. Please run `inference.py` for inference. ## Examples -There are some examples in `commands/` and based on task 04 (fold 0 for validation). +All training scripts for 10 tasks are included in `commands/`. For instance: - `train.sh` is used for training. @@ -26,15 +26,62 @@ For instance: - `infer.sh` is used for inference. - If you need to use multiple GPUs, please run scripts that contain `multi_gpu`. -With the default settings in `train.sh` and `finetune.sh`, you can get around the following validation results: +You can task task 04's scripts for reference since for other tasks, only the training parts are included. A task folder that contains `train.sh` means it only need to use 1 GPU for training, and `train_multi_gpu.sh` means it need at least 2 GPUs for training. + +The devices I used for training for all tasks are shown as follow: + +| task | number of GPUs used (Tesla V100 32GB) | +|:----:|:-------------------------------------:| +| 1 | 2 | +| 2 | 1 | +| 3 | 4 | +| 4 | 1 | +| 5 | 1 | +| 6 | 1 | +| 7 | 2 | +| 8 | 2 | +| 9 | 1 | +| 10 | 1 | + +I used these scripts and trained for all 5 folds for all 10 tasks. As for the testset, I did the ensemble by average the 5 feature maps (coming from 5 folds' models) before the `argmax` manipulation (for task 03, since the feature maps are very large, I just did voting for 5 final predictions). By submitting the ensembled results to the Decathlon Challenge's Leaderboard, I got the following results: + +| | DynUNet class 1 | 2 | 3 | NNUNet class 1 | 2 | 3 | +|:-------:|:---------------:|:----:|:----:|:--------------:|:----:|:----:| +| task 01 | 0.68 | 0.47 | 0.69 | 0.68 | 0.47 | 0.68 | + + +| | DynUNet class 1 | NNUNet class 1 | +|:-------:|:---------------:|:--------------:| +| task 02 | 0.93 | 0.93 | +| task 06 | 0.67 | 0.74 | +| task 09 | 0.96 | 0.97 | +| task 10 | 0.55 | 0.58 | + + +| | DynUNet class 1 | 2 | NNUNet class 1 | 2 | +|:-------:|:---------------:|:----:|:--------------:|:----:| +| task 03 | 0.95 | 0.72 | 0.96 | 0.76 | +| task 04 | 0.90 | 0.88 | 0.90 | 0.89 | +| task 05 | 0.71 | 0.87 | 0.77 | 0.90 | +| task 07 | 0.81 | 0.54 | 0.82 | 0.53 | +| task 08 | 0.66 | 0.71 | 0.66 | 0.72 | + +Comments: +- The results of DynUNet come from the re-implemented `3D_fullres` version in MONAI and without postprocessing. + +- The results of NNUnet come from different versions (`3D_fullres` for task 01, 02 and 04, `3D_cascade` for task 10, and ensembled two versions for other tasks) and may have postprocessing [1]. + +- Therefore, the two results may not be fully comparable and the above tables are just for reference. + +- After implementing this repository, I re-trained on task 04 and attached the validation results as follow, and the comparisons between DynUNet and NNUnet are all for the single `3D_fullres` version. + +As for task 04, with the default settings in `train.sh` and `finetune.sh`, you can get around the following validation results: | | 0 | 1 | 2 | 3 | 4 | Mean | NNUNet val | |---------|--------|--------|--------|--------|--------|--------|------------| | class 1 | 0.9007 | 0.8930 | 0.8985 | 0.8979 | 0.9015 | 0.8983 | 0.8975 | | class 2 | 0.8835 | 0.8774 | 0.8826 | 0.8818 | 0.8828 | 0.8816 | 0.8807 | -Comments: -- The results of NNUNet come from `3D_fullres` version, which is also the DynUNet used version. The scores are gotten from [1]. # References [1] Isensee F, Jäger P F, Kohl S A A, et al. Automated design of deep learning methods for biomedical image segmentation[J]. arXiv preprint arXiv:1904.08128, 2019. diff --git a/modules/dynunet_pipeline/commands/task01/finetune_multi_gpu.sh b/modules/dynunet_pipeline/commands/task01/finetune_multi_gpu.sh new file mode 100644 index 0000000000..8b3136dc11 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task01/finetune_multi_gpu.sh @@ -0,0 +1,12 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-2 +fold=0 +weight=model.pt + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ + -learning_rate $lr -max_epochs 1000 -task_id 01 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -checkpoint $weight -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task01/train_multi_gpu.sh b/modules/dynunet_pipeline/commands/task01/train_multi_gpu.sh new file mode 100644 index 0000000000..09d764742f --- /dev/null +++ b/modules/dynunet_pipeline/commands/task01/train_multi_gpu.sh @@ -0,0 +1,12 @@ +# train step 1, with large learning rate +# although max_epochs here is 3000, my results shown that for all 5 folds, +# the best epochs is less than 400, thus maybe you can manually stop early. + +lr=1e-1 +fold=0 + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ + -learning_rate $lr -max_epochs 3000 -task_id 01 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -multi_gpu True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task02/finetune.sh b/modules/dynunet_pipeline/commands/task02/finetune.sh new file mode 100644 index 0000000000..4c105ba8c7 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task02/finetune.sh @@ -0,0 +1,11 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-2 +fold=0 +weight=model.pt + +python train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 4 \ +-learning_rate $lr -max_epochs 500 -task_id 02 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -checkpoint $weight -determinism_flag True \ +-determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task02/train.sh b/modules/dynunet_pipeline/commands/task02/train.sh new file mode 100644 index 0000000000..7ac5d13a49 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task02/train.sh @@ -0,0 +1,8 @@ +# train step 1, with large learning rate + +lr=1e-1 +fold=0 + +python train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 4 \ +-learning_rate $lr -max_epochs 3000 -task_id 02 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -determinism_flag True -determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task03/finetune_multi_gpu.sh b/modules/dynunet_pipeline/commands/task03/finetune_multi_gpu.sh new file mode 100644 index 0000000000..1994546b1e --- /dev/null +++ b/modules/dynunet_pipeline/commands/task03/finetune_multi_gpu.sh @@ -0,0 +1,13 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-2 +fold=0 +weight=model.pt + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 8 -interval 20 -num_samples 1 \ + -learning_rate $lr -max_epochs 2000 -task_id 03 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -checkpoint $weight -multi_gpu True \ + -eval_overlap 0.5 -sw_batch_size 2 -batch_dice True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task03/train_multi_gpu.sh b/modules/dynunet_pipeline/commands/task03/train_multi_gpu.sh new file mode 100644 index 0000000000..96f19d0ad7 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task03/train_multi_gpu.sh @@ -0,0 +1,11 @@ +# train step 1, with large learning rate + +lr=2e-2 +fold=0 + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 8 -interval 20 -num_samples 1 \ + -learning_rate $lr -max_epochs 3000 -task_id 03 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -multi_gpu True -eval_overlap 0.1 \ + -sw_batch_size 2 -batch_dice True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task05/finetune.sh b/modules/dynunet_pipeline/commands/task05/finetune.sh new file mode 100644 index 0000000000..8e1ce1e7ff --- /dev/null +++ b/modules/dynunet_pipeline/commands/task05/finetune.sh @@ -0,0 +1,11 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-2 +fold=0 +weight=model.pt + +python train.py -fold $fold -train_num_workers 4 -interval 1 -num_samples 4 \ +-learning_rate $lr -max_epochs 1000 -task_id 05 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -checkpoint $weight -determinism_flag True \ +-determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task05/train.sh b/modules/dynunet_pipeline/commands/task05/train.sh new file mode 100644 index 0000000000..ba2d29b3bd --- /dev/null +++ b/modules/dynunet_pipeline/commands/task05/train.sh @@ -0,0 +1,8 @@ +# train step 1, with large learning rate + +lr=1e-1 +fold=0 + +python train.py -fold $fold -train_num_workers 4 -interval 5 -num_samples 4 \ +-learning_rate $lr -max_epochs 1000 -task_id 05 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -determinism_flag True -determinism_seed 0 \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task06/finetune.sh b/modules/dynunet_pipeline/commands/task06/finetune.sh new file mode 100644 index 0000000000..413d4d1424 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task06/finetune.sh @@ -0,0 +1,11 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-3 +fold=0 +weight=model.pt + +python train.py -fold $fold -train_num_workers 4 -interval 5 -num_samples 1 \ +-learning_rate $lr -max_epochs 1000 -task_id 06 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -checkpoint $weight -determinism_flag True \ +-determinism_seed 0 -batch_dice True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task06/train.sh b/modules/dynunet_pipeline/commands/task06/train.sh new file mode 100644 index 0000000000..3cbd01c32f --- /dev/null +++ b/modules/dynunet_pipeline/commands/task06/train.sh @@ -0,0 +1,9 @@ +# train step 1, with large learning rate + +lr=1e-2 +fold=0 + +python train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ +-learning_rate $lr -max_epochs 3000 -task_id 06 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -determinism_flag True -determinism_seed 0 \ +-batch_dice True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task07/finetune_multi_gpu.sh b/modules/dynunet_pipeline/commands/task07/finetune_multi_gpu.sh new file mode 100644 index 0000000000..ee20689c5c --- /dev/null +++ b/modules/dynunet_pipeline/commands/task07/finetune_multi_gpu.sh @@ -0,0 +1,17 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight +# since this task uses lr scheduler, please set the lr and max epochs +# here according to the step 1 training results. The value of max epochs equals +# to 2000 minus the best epoch in step 1. + +lr=5e-3 +max_epochs=1000 +fold=0 +weight=model.pt + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ + -learning_rate $lr -max_epochs $max_epochs -task_id 07 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -checkpoint $weight -multi_gpu True \ + -lr_decay True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task07/train_multi_gpu.sh b/modules/dynunet_pipeline/commands/task07/train_multi_gpu.sh new file mode 100644 index 0000000000..416c018cdb --- /dev/null +++ b/modules/dynunet_pipeline/commands/task07/train_multi_gpu.sh @@ -0,0 +1,10 @@ +# train step 1, with large learning rate + +lr=1e-2 +fold=0 + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ + -learning_rate $lr -max_epochs 2000 -task_id 07 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -multi_gpu True -lr_decay True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task08/finetune_multi_gpu.sh b/modules/dynunet_pipeline/commands/task08/finetune_multi_gpu.sh new file mode 100644 index 0000000000..aea03b5abc --- /dev/null +++ b/modules/dynunet_pipeline/commands/task08/finetune_multi_gpu.sh @@ -0,0 +1,17 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight +# since this task uses lr scheduler, please set the lr and max epochs +# here according to the step 1 training results. The value of max epochs equals +# to 2000 minus the best epoch in step 1. + +lr=5e-3 +max_epochs=1000 +fold=0 +weight=model.pt + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ + -learning_rate $lr -max_epochs $max_epochs -task_id 08 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -checkpoint $weight -multi_gpu True \ + -lr_decay True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task08/train_multi_gpu.sh b/modules/dynunet_pipeline/commands/task08/train_multi_gpu.sh new file mode 100644 index 0000000000..805c96c637 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task08/train_multi_gpu.sh @@ -0,0 +1,10 @@ +# train step 1, with large learning rate + +lr=1e-2 +fold=0 + +python -m torch.distributed.launch --nproc_per_node=2 --nnodes=1 --node_rank=0 \ + --master_addr="localhost" --master_port=1234 \ + train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 1 \ + -learning_rate $lr -max_epochs 2000 -task_id 08 -pos_sample_num 1 \ + -expr_name baseline -tta_val True -multi_gpu True -lr_decay True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task09/finetune.sh b/modules/dynunet_pipeline/commands/task09/finetune.sh new file mode 100644 index 0000000000..79e233676f --- /dev/null +++ b/modules/dynunet_pipeline/commands/task09/finetune.sh @@ -0,0 +1,11 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight + +lr=1e-2 +fold=0 +weight=model.pt + +python train.py -fold $fold -train_num_workers 4 -interval 5 -num_samples 3 \ +-learning_rate $lr -max_epochs 1000 -task_id 09 -pos_sample_num 2 \ +-expr_name baseline -tta_val True -checkpoint $weight -determinism_flag True \ +-determinism_seed 0 -lr_decay True -batch_dice True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task09/train.sh b/modules/dynunet_pipeline/commands/task09/train.sh new file mode 100644 index 0000000000..884718b740 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task09/train.sh @@ -0,0 +1,9 @@ +# train step 1, with large learning rate + +lr=1e-2 +fold=0 + +python train.py -fold $fold -train_num_workers 4 -interval 10 -num_samples 3 \ +-learning_rate $lr -max_epochs 3000 -task_id 09 -pos_sample_num 2 \ +-expr_name baseline -tta_val True -determinism_flag True -determinism_seed 0 \ +-batch_dice True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task10/finetune.sh b/modules/dynunet_pipeline/commands/task10/finetune.sh new file mode 100644 index 0000000000..9c3740c8e1 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task10/finetune.sh @@ -0,0 +1,14 @@ +# train step 2, finetune with small learning rate +# please replace the weight variable into your actual weight +# since this task uses lr scheduler, please set the lr and max epochs +# here according to the step 1 training results. The value of max epochs equals +# to 2000 minus the best epoch in step 1. + +lr=7.5e-3 +fold=0 +weight=model.pt + +python train.py -fold $fold -train_num_workers 2 -interval 10 -num_samples 1 \ +-learning_rate $lr -max_epochs 3000 -task_id 10 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -checkpoint $weight -determinism_flag True \ +-determinism_seed 0 -lr_decay True \ No newline at end of file diff --git a/modules/dynunet_pipeline/commands/task10/train.sh b/modules/dynunet_pipeline/commands/task10/train.sh new file mode 100644 index 0000000000..cd53a2fed7 --- /dev/null +++ b/modules/dynunet_pipeline/commands/task10/train.sh @@ -0,0 +1,9 @@ +# train step 1, with large learning rate + +lr=1e-2 +fold=0 + +python train.py -fold $fold -train_num_workers 2 -interval 10 -num_samples 1 \ +-learning_rate $lr -max_epochs 5000 -task_id 10 -pos_sample_num 1 \ +-expr_name baseline -tta_val True -determinism_flag True -determinism_seed 0 \ +-lr_decay True \ No newline at end of file From d4f547b63123bc9c7d5639a0b9e05a5a0b79224a Mon Sep 17 00:00:00 2001 From: Yiheng Wang <68361391+yiheng-wang-nv@users.noreply.github.com> Date: Thu, 11 Mar 2021 13:57:02 +0800 Subject: [PATCH 17/21] Update modules/dynunet_pipeline/README.md Co-authored-by: Wenqi Li --- modules/dynunet_pipeline/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 442a138f41..2449115ae3 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -26,7 +26,7 @@ For instance: - `infer.sh` is used for inference. - If you need to use multiple GPUs, please run scripts that contain `multi_gpu`. -You can task task 04's scripts for reference since for other tasks, only the training parts are included. A task folder that contains `train.sh` means it only need to use 1 GPU for training, and `train_multi_gpu.sh` means it need at least 2 GPUs for training. +You can take task 04's scripts for reference since for other tasks, only the training parts are included. A task folder that contains `train.sh` means it only needs to use 1 GPU for training, and `train_multi_gpu.sh` means it needs at least 2 GPUs for training. The devices I used for training for all tasks are shown as follow: From e82de1cd46ae08642992b781779fbe1b37995dbd Mon Sep 17 00:00:00 2001 From: Yiheng Wang <68361391+yiheng-wang-nv@users.noreply.github.com> Date: Thu, 11 Mar 2021 13:57:12 +0800 Subject: [PATCH 18/21] Update modules/dynunet_pipeline/README.md Co-authored-by: Wenqi Li --- modules/dynunet_pipeline/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index 2449115ae3..bea0486ba6 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -43,7 +43,7 @@ The devices I used for training for all tasks are shown as follow: | 9 | 1 | | 10 | 1 | -I used these scripts and trained for all 5 folds for all 10 tasks. As for the testset, I did the ensemble by average the 5 feature maps (coming from 5 folds' models) before the `argmax` manipulation (for task 03, since the feature maps are very large, I just did voting for 5 final predictions). By submitting the ensembled results to the Decathlon Challenge's Leaderboard, I got the following results: +I used these scripts and trained for all 5 folds for all 10 tasks. As for the test set, I did the ensemble by average the 5 feature maps (coming from 5 folds' models) before the `argmax` manipulation (for task 03, since the feature maps are very large, I just did voting for 5 final predictions). By submitting the ensembled results to the Decathlon Challenge's Leaderboard, I got the following results: | | DynUNet class 1 | 2 | 3 | NNUNet class 1 | 2 | 3 | |:-------:|:---------------:|:----:|:----:|:--------------:|:----:|:----:| From 25ddb92f5048ef0bbb264b5f562b6970d5c2567c Mon Sep 17 00:00:00 2001 From: Yiheng Wang <68361391+yiheng-wang-nv@users.noreply.github.com> Date: Thu, 11 Mar 2021 13:57:22 +0800 Subject: [PATCH 19/21] Update modules/dynunet_pipeline/create_datalist.py Co-authored-by: Wenqi Li --- modules/dynunet_pipeline/create_datalist.py | 1 - 1 file changed, 1 deletion(-) diff --git a/modules/dynunet_pipeline/create_datalist.py b/modules/dynunet_pipeline/create_datalist.py index 92203f2c8a..fa4d2669cc 100644 --- a/modules/dynunet_pipeline/create_datalist.py +++ b/modules/dynunet_pipeline/create_datalist.py @@ -32,7 +32,6 @@ def create_datalist( with open(dataset_file_path, "r") as f: dataset = json.load(f) - f.close() dataset_with_folds = dataset.copy() From 60ff68173ef9e11390efb15102b1c04206dd906a Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Thu, 11 Mar 2021 14:39:22 +0800 Subject: [PATCH 20/21] Update readme and add datalist json files --- modules/dynunet_pipeline/README.md | 8 ++++++++ modules/dynunet_pipeline/config/dataset_task01.json | 1 + modules/dynunet_pipeline/config/dataset_task02.json | 1 + modules/dynunet_pipeline/config/dataset_task03.json | 1 + modules/dynunet_pipeline/config/dataset_task04.json | 1 + modules/dynunet_pipeline/config/dataset_task05.json | 1 + modules/dynunet_pipeline/config/dataset_task06.json | 1 + modules/dynunet_pipeline/config/dataset_task07.json | 1 + modules/dynunet_pipeline/config/dataset_task08.json | 1 + modules/dynunet_pipeline/config/dataset_task09.json | 1 + modules/dynunet_pipeline/config/dataset_task10.json | 1 + 11 files changed, 18 insertions(+) create mode 100644 modules/dynunet_pipeline/config/dataset_task01.json create mode 100644 modules/dynunet_pipeline/config/dataset_task02.json create mode 100644 modules/dynunet_pipeline/config/dataset_task03.json create mode 100644 modules/dynunet_pipeline/config/dataset_task04.json create mode 100644 modules/dynunet_pipeline/config/dataset_task05.json create mode 100644 modules/dynunet_pipeline/config/dataset_task06.json create mode 100644 modules/dynunet_pipeline/config/dataset_task07.json create mode 100644 modules/dynunet_pipeline/config/dataset_task08.json create mode 100644 modules/dynunet_pipeline/config/dataset_task09.json create mode 100644 modules/dynunet_pipeline/config/dataset_task10.json diff --git a/modules/dynunet_pipeline/README.md b/modules/dynunet_pipeline/README.md index bea0486ba6..6c286fe4ae 100644 --- a/modules/dynunet_pipeline/README.md +++ b/modules/dynunet_pipeline/README.md @@ -6,6 +6,14 @@ The source decathlon datasets can be found from http://medicaldecathlon.com/. After getting the dataset, please run `create_datalist.py` to get the datalists (please check the command line arguments first). The default seed can help to get the same 5 folds data splits as NNUnet has, and the created datalist will be in `config/` +My running environment: + +- OS: Ubuntu 20.04.1 LTS +- Python: 3.8.5 +- Pytorch: 1.8.0 + +To prevent the inconsistency, all json files are included in `config/` already. + ## Training Please run `train.py` for training. Please modify the command line arguments according to the actual situation, such as `determinism_flag` for deterministic training, `amp` for automatic mixed precision. diff --git a/modules/dynunet_pipeline/config/dataset_task01.json b/modules/dynunet_pipeline/config/dataset_task01.json new file mode 100644 index 0000000000..b3050d89ef --- /dev/null +++ b/modules/dynunet_pipeline/config/dataset_task01.json @@ -0,0 +1 @@ +{"name": "BRATS", "description": "Gliomas segmentation tumour and oedema in on brain images", "reference": "https://www.med.upenn.edu/sbia/brats2017.html", "licence": "CC-BY-SA 4.0", "release": "2.0 04/05/2018", "tensorImageSize": "4D", "modality": {"0": "FLAIR", "1": "T1w", "2": "t1gd", "3": "T2w"}, "labels": {"0": "background", "1": "edema", "2": "non-enhancing tumor", "3": "enhancing tumour"}, "numTraining": 484, "numTest": 266, "training": [{"image": "./imagesTr/BRATS_457.nii.gz", "label": "./labelsTr/BRATS_457.nii.gz"}, {"image": "./imagesTr/BRATS_306.nii.gz", 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"./labelsTr/colon_202.nii.gz"}, {"image": "./imagesTr/colon_205.nii.gz", "label": "./labelsTr/colon_205.nii.gz"}, {"image": "./imagesTr/colon_206.nii.gz", "label": "./labelsTr/colon_206.nii.gz"}, {"image": "./imagesTr/colon_207.nii.gz", "label": "./labelsTr/colon_207.nii.gz"}, {"image": "./imagesTr/colon_208.nii.gz", "label": "./labelsTr/colon_208.nii.gz"}, {"image": "./imagesTr/colon_212.nii.gz", "label": "./labelsTr/colon_212.nii.gz"}, {"image": "./imagesTr/colon_213.nii.gz", "label": "./labelsTr/colon_213.nii.gz"}, {"image": "./imagesTr/colon_214.nii.gz", "label": "./labelsTr/colon_214.nii.gz"}, {"image": "./imagesTr/colon_215.nii.gz", "label": "./labelsTr/colon_215.nii.gz"}, {"image": "./imagesTr/colon_219.nii.gz", "label": "./labelsTr/colon_219.nii.gz"}]} \ No newline at end of file From 92d4498d64fe966a3722d9eb3bc00fa88352f4a4 Mon Sep 17 00:00:00 2001 From: Yiheng Wang Date: Thu, 11 Mar 2021 15:10:59 +0800 Subject: [PATCH 21/21] Modify nib saver --- modules/dynunet_pipeline/inference.py | 2 +- modules/dynunet_pipeline/inferrer.py | 18 +- modules/dynunet_tutorial.ipynb | 689 -------------------------- 3 files changed, 10 insertions(+), 699 deletions(-) delete mode 100644 modules/dynunet_tutorial.ipynb diff --git a/modules/dynunet_pipeline/inference.py b/modules/dynunet_pipeline/inference.py index ef144bd62f..e49cd1b952 100644 --- a/modules/dynunet_pipeline/inference.py +++ b/modules/dynunet_pipeline/inference.py @@ -54,7 +54,7 @@ def inference(args): device=device, val_data_loader=test_loader, network=net, - output_dir=val_output_dir, + output_dir=infer_output_dir, n_classes=len(properties["labels"]), inferer=SlidingWindowInferer( roi_size=patch_size[task_id], diff --git a/modules/dynunet_pipeline/inferrer.py b/modules/dynunet_pipeline/inferrer.py index b9d8ceeb0f..133a13cf37 100644 --- a/modules/dynunet_pipeline/inferrer.py +++ b/modules/dynunet_pipeline/inferrer.py @@ -1,13 +1,12 @@ import os from typing import Any, Callable, Dict, Optional, Sequence, Tuple, Union -import nibabel as nib import numpy as np import torch import torch.nn as nn from ignite.engine import Engine from ignite.metrics import Metric -from monai.data.utils import to_affine_nd +from monai.data.nifti_writer import write_nifti from monai.engines import SupervisedEvaluator from monai.engines.utils import IterationEvents, default_prepare_batch from monai.inferers import Inferer @@ -150,7 +149,7 @@ def _compute_pred(): inputs = inputs.cpu() predictions = self.post_pred(predictions) - target_affine = batchdata["image_meta_dict"]["affine"].numpy()[0] + affine = batchdata["image_meta_dict"]["affine"].numpy()[0] resample_flag = batchdata["resample_flag"] anisotrophy_flag = batchdata["anisotrophy_flag"] crop_shape = batchdata["crop_shape"][0].tolist() @@ -182,11 +181,12 @@ def _compute_pred(): filename, predictions_org.shape, predictions_org.mean() ) ) - results_img = nib.Nifti1Image( - predictions_org.astype(np.uint8), to_affine_nd(3, target_affine) + write_nifti( + data=predictions_org, + file_name=os.path.join(self.output_dir, filename), + affine=affine, + resample=False, + output_dtype=np.uint8, ) - del predictions_org - nib.save(results_img, os.path.join(self.output_dir, filename)) - engine.fire_event(IterationEvents.FORWARD_COMPLETED) - return {"pred": results_img} + return {"pred": predictions_org} diff --git a/modules/dynunet_tutorial.ipynb b/modules/dynunet_tutorial.ipynb deleted file mode 100644 index a22d57a14f..0000000000 --- a/modules/dynunet_tutorial.ipynb +++ /dev/null @@ -1,689 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Train DynUNet on Decathlon datasets\n", - "This tutorial shows how to train 3D segmentation tasks on all the 10 decathlon datasets with `DynUNet`.\n", - "\n", - "Refer to papers:\n", - "\n", - "`Automated Design of Deep Learning Methods for Biomedical Image Segmentation `\n", - "\n", - "`nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation `\n", - "\n", - "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/master/modules/dynunet_tutorial.ipynb)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup environment" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "!python -c \"import monai\" || pip install -q \"monai[nibabel, ignite, tqdm]\"\n", - "!python -c \"import matplotlib\" || pip install -q matplotlib\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "# FIXME: install MONAI from source code, will remove it when v0.5.0 released\n", - "%pip install git+https://github.com/Project-MONAI/MONAI#egg=MONAI" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup imports" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "MONAI version: 0.4.0+86.gadb2f7f.dirty\n", - "Numpy version: 1.19.1\n", - "Pytorch version: 1.7.0a0+8deb4fe\n", - "MONAI flags: HAS_EXT = True, USE_COMPILED = False\n", - "MONAI rev id: adb2f7fa7a0f9cb519614f6ec6f3a7f43601d9c9\n", - "\n", - "Optional dependencies:\n", - "Pytorch Ignite version: 0.4.2\n", - "Nibabel version: 3.2.1\n", - "scikit-image version: 0.15.0\n", - "Pillow version: 8.1.0\n", - "Tensorboard version: 1.15.0+nv\n", - "gdown version: 3.12.2\n", - "TorchVision version: 0.8.0a0\n", - "ITK version: 5.1.2\n", - "tqdm version: 4.56.2\n", - "lmdb version: 0.99\n", - "psutil version: 5.7.0\n", - "\n", - "For details about installing the optional dependencies, please visit:\n", - " https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies\n", - "\n" - ] - } - ], - "source": [ - "# Copyright 2020 MONAI Consortium\n", - "# Licensed under the Apache License, Version 2.0 (the \"License\");\n", - "# you may not use this file except in compliance with the License.\n", - "# You may obtain a copy of the License at\n", - "# http://www.apache.org/licenses/LICENSE-2.0\n", - "# Unless required by applicable law or agreed to in writing, software\n", - "# distributed under the License is distributed on an \"AS IS\" BASIS,\n", - "# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", - "# See the License for the specific language governing permissions and\n", - "# limitations under the License.\n", - "\n", - "import logging\n", - "import os\n", - "import shutil\n", - "import sys\n", - "import tempfile\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import numpy as np\n", - "import torch\n", - "from monai.apps import DecathlonDataset\n", - "from monai.config import print_config\n", - "from monai.data import DataLoader\n", - "from monai.engines import SupervisedEvaluator, SupervisedTrainer\n", - "from monai.handlers import (\n", - " CheckpointSaver,\n", - " LrScheduleHandler,\n", - " MeanDice,\n", - " StatsHandler,\n", - " ValidationHandler,\n", - ")\n", - "from monai.inferers import SimpleInferer, SlidingWindowInferer\n", - "from monai.losses import DiceCELoss\n", - "from monai.networks.nets import DynUNet\n", - "from monai.transforms import (\n", - " AddChanneld,\n", - " AsDiscreted,\n", - " CastToTyped,\n", - " Compose,\n", - " CropForegroundd,\n", - " LoadImaged,\n", - " NormalizeIntensityd,\n", - " Orientationd,\n", - " RandCropByPosNegLabeld,\n", - " RandFlipd,\n", - " RandGaussianNoised,\n", - " RandGaussianSmoothd,\n", - " RandScaleIntensityd,\n", - " RandZoomd,\n", - " Spacingd,\n", - " SpatialPadd,\n", - " ToTensord,\n", - ")\n", - "\n", - "print_config()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Select Decathlon task\n", - "The Decathlon dataset contains 10 tasks, this dynUNet tutorial can support all of them.\n", - "\n", - "Just need to select task ID and other parameters will be automatically selected.\n", - "\n", - "(Tested task 04 locally, epoch time is 8 secs on V100 GPU and best metrics is 0.8828 at epoch: 70)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "task_id = \"04\"\n", - "\n", - "task_name = {\n", - " \"01\": \"Task01_BrainTumour\",\n", - " \"02\": \"Task02_Heart\",\n", - " \"03\": \"Task03_Liver\",\n", - " \"04\": \"Task04_Hippocampus\",\n", - " \"05\": \"Task05_Prostate\",\n", - " \"06\": \"Task06_Lung\",\n", - " \"07\": \"Task07_Pancreas\",\n", - " \"08\": \"Task08_HepaticVessel\",\n", - " \"09\": \"Task09_Spleen\",\n", - " \"10\": \"Task10_Colon\",\n", - "}\n", - "\n", - "patch_size = {\n", - " \"01\": [128, 128, 128],\n", - " \"02\": [160, 192, 80],\n", - " \"03\": [128, 128, 128],\n", - " \"04\": [40, 56, 40],\n", - " \"05\": [320, 256, 20],\n", - " \"06\": [192, 160, 80],\n", - " \"07\": [224, 224, 40],\n", - " \"08\": [192, 192, 64],\n", - " \"09\": [192, 160, 64],\n", - " \"10\": [192, 160, 56],\n", - "}\n", - "\n", - "spacing = {\n", - " \"01\": [1.0, 1.0, 1.0],\n", - " \"02\": [1.25, 1.25, 1.37],\n", - " \"03\": [0.77, 0.77, 1],\n", - " \"04\": [1.0, 1.0, 1.0],\n", - " \"05\": [0.62, 0.62, 3.6],\n", - " \"06\": [0.79, 0.79, 1.24],\n", - " \"07\": [0.8, 0.8, 2.5],\n", - " \"08\": [0.8, 0.8, 1.5],\n", - " \"09\": [0.79, 0.79, 1.6],\n", - " \"10\": [0.78, 0.78, 3],\n", - "}" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Setup data directory\n", - "\n", - "You can specify a directory with the `MONAI_DATA_DIRECTORY` environment variable. \n", - "This allows you to save results and reuse downloads. \n", - "If not specified a temporary directory will be used." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "/workspace/data/medical/\n" - ] - } - ], - "source": [ - "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n", - "root_dir = tempfile.mkdtemp() if directory is None else directory\n", - "print(root_dir)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define train and validation transforms" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [], - "source": [ - "train_transform = Compose(\n", - " [\n", - " LoadImaged(keys=[\"image\", \"label\"]),\n", - " AddChanneld(keys=[\"image\", \"label\"]),\n", - " CropForegroundd(keys=[\"image\", \"label\"], source_key=\"image\"),\n", - " Spacingd(\n", - " keys=[\"image\", \"label\"],\n", - " pixdim=spacing[task_id],\n", - " mode=(\"bilinear\", \"nearest\"),\n", - " ),\n", - " Orientationd(keys=[\"image\", \"label\"], axcodes=\"RAS\"),\n", - " SpatialPadd(keys=[\"image\", \"label\"], spatial_size=patch_size[task_id]),\n", - " NormalizeIntensityd(keys=[\"image\"], nonzero=False, channel_wise=True),\n", - " RandCropByPosNegLabeld(\n", - " keys=[\"image\", \"label\"],\n", - " label_key=\"label\",\n", - " spatial_size=patch_size[task_id],\n", - " pos=1,\n", - " neg=1,\n", - " num_samples=1,\n", - " image_key=\"image\",\n", - " image_threshold=0,\n", - " ),\n", - " RandZoomd(\n", - " keys=[\"image\", \"label\"],\n", - " min_zoom=0.9,\n", - " max_zoom=1.2,\n", - " mode=(\"trilinear\", \"nearest\"),\n", - " align_corners=(True, None),\n", - " prob=0.16,\n", - " ),\n", - " CastToTyped(keys=[\"image\", \"label\"], dtype=(np.float32, np.uint8)),\n", - " RandGaussianNoised(keys=[\"image\"], std=0.01, prob=0.15),\n", - " RandGaussianSmoothd(\n", - " keys=[\"image\"],\n", - " sigma_x=(0.5, 1.15),\n", - " sigma_y=(0.5, 1.15),\n", - " sigma_z=(0.5, 1.15),\n", - " prob=0.15,\n", - " ),\n", - " RandScaleIntensityd(keys=[\"image\"], factors=0.3, prob=0.15),\n", - " RandFlipd([\"image\", \"label\"], spatial_axis=[0, 1, 2], prob=0.5),\n", - " ToTensord(keys=[\"image\", \"label\"]),\n", - " ]\n", - ")\n", - "\n", - "val_transform = Compose(\n", - " [\n", - " LoadImaged(keys=[\"image\", \"label\"]),\n", - " AddChanneld(keys=[\"image\", \"label\"]),\n", - " CropForegroundd(keys=[\"image\", \"label\"], source_key=\"image\"),\n", - " Spacingd(\n", - " keys=[\"image\", \"label\"],\n", - " pixdim=spacing[task_id],\n", - " mode=(\"bilinear\", \"nearest\"),\n", - " ),\n", - " Orientationd(keys=[\"image\", \"label\"], axcodes=\"RAS\"),\n", - " SpatialPadd(keys=[\"image\", \"label\"], spatial_size=patch_size[task_id]),\n", - " NormalizeIntensityd(keys=[\"image\"], nonzero=False, channel_wise=True),\n", - " CastToTyped(keys=[\"image\", \"label\"], dtype=(np.float32, np.uint8)),\n", - " ToTensord(keys=[\"image\", \"label\"]),\n", - " ]\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Load data by MONAI DecathlonDataset" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Loading dataset: 100%|██████████| 208/208 [00:01<00:00, 145.76it/s]\n", - "Loading dataset: 100%|██████████| 52/52 [00:00<00:00, 144.63it/s]\n" - ] - } - ], - "source": [ - "train_ds = DecathlonDataset(\n", - " root_dir=root_dir,\n", - " task=task_name[task_id],\n", - " transform=train_transform,\n", - " section=\"training\",\n", - " download=False,\n", - " num_workers=4,\n", - ")\n", - "train_loader = DataLoader(train_ds, batch_size=2, shuffle=True, num_workers=1)\n", - "\n", - "val_ds = DecathlonDataset(\n", - " root_dir=root_dir,\n", - " task=task_name[task_id],\n", - " transform=val_transform,\n", - " section=\"validation\",\n", - " download=False,\n", - " num_workers=4,\n", - ")\n", - "val_loader = DataLoader(val_ds, batch_size=1, shuffle=False, num_workers=1)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Visualize batch of data to check images and labels" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "for i in range(2):\n", - " image, label = val_ds[i][\"image\"], val_ds[i][\"label\"]\n", - " plt.figure(\"check\", (12, 8))\n", - " plt.subplot(1, 2, 1)\n", - " plt.title(\"image\")\n", - " plt.imshow(image[0, :, :, 10].detach().cpu(), cmap=\"gray\")\n", - " plt.subplot(1, 2, 2)\n", - " plt.title(\"label\")\n", - " plt.imshow(label[0, :, :, 10].detach().cpu())\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Initialize training components" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "device = torch.device(\"cuda:0\")\n", - "loss = DiceCELoss(to_onehot_y=True, softmax=True, batch=False)\n", - "learning_rate = 0.01\n", - "max_epochs = 200\n", - "\n", - "sizes, spacings = patch_size[task_id], spacing[task_id]\n", - "properties = val_ds.get_properties(keys=[\"labels\", \"modality\"])\n", - "n_class, in_channels = len(properties[\"labels\"]), len(properties[\"modality\"])\n", - "best_dice, best_epoch = (n_class - 1) * [0], (n_class - 1) * [0]\n", - "strides, kernels = [], []\n", - "\n", - "while True:\n", - " spacing_ratio = [sp / min(spacings) for sp in spacings]\n", - " stride = [\n", - " 2 if ratio <= 2 and size >= 8 else 1\n", - " for (ratio, size) in zip(spacing_ratio, sizes)\n", - " ]\n", - " kernel = [3 if ratio <= 2 else 1 for ratio in spacing_ratio]\n", - " if all(s == 1 for s in stride):\n", - " break\n", - " sizes = [i / j for i, j in zip(sizes, stride)]\n", - " spacings = [i * j for i, j in zip(spacings, stride)]\n", - " kernels.append(kernel)\n", - " strides.append(stride)\n", - "strides.insert(0, len(spacings) * [1])\n", - "kernels.append(len(spacings) * [3])\n", - "net = DynUNet(\n", - " spatial_dims=3,\n", - " in_channels=in_channels,\n", - " out_channels=n_class,\n", - " kernel_size=kernels,\n", - " strides=strides,\n", - " upsample_kernel_size=strides[1:],\n", - " norm_name=\"instance\",\n", - " deep_supervision=True,\n", - " deep_supr_num=2,\n", - " res_block=False,\n", - ").to(device)\n", - "\n", - "optimizer = torch.optim.SGD(net.parameters(), lr=learning_rate, momentum=0.95)\n", - "scheduler = torch.optim.lr_scheduler.LambdaLR(\n", - " optimizer, lr_lambda=lambda epoch: (1 - epoch / max_epochs) ** 0.9\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## MONAI evaluator\n", - "Here we customized the forward computation, so need to define `_iteration` function." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "val_handlers = [\n", - " StatsHandler(output_transform=lambda x: None),\n", - " CheckpointSaver(\n", - " save_dir=\"./runs/\", save_dict={\"net\": net}, save_key_metric=True\n", - " ),\n", - "]\n", - "\n", - "val_post_transform = Compose(\n", - " [\n", - " AsDiscreted(\n", - " keys=(\"pred\", \"label\"),\n", - " argmax=(True, False),\n", - " to_onehot=True,\n", - " n_classes=n_class,\n", - " )\n", - " ]\n", - ")\n", - "\n", - "# Define customized evaluator\n", - "\n", - "\n", - "class DynUNetEvaluator(SupervisedEvaluator):\n", - " def _iteration(self, engine, batchdata):\n", - " inputs, targets = self.prepare_batch(batchdata)\n", - " inputs, targets = inputs.to(engine.state.device), targets.to(\n", - " engine.state.device\n", - " )\n", - " flip_inputs = torch.flip(inputs, dims=(2, 3, 4))\n", - "\n", - " def _compute_pred():\n", - " pred = self.inferer(inputs, self.network)\n", - " flip_pred = torch.flip(\n", - " self.inferer(flip_inputs, self.network), dims=(2, 3, 4)\n", - " )\n", - " return (pred + flip_pred) / 2\n", - "\n", - " # execute forward computation\n", - " self.network.eval()\n", - " with torch.no_grad():\n", - " if self.amp:\n", - " with torch.cuda.amp.autocast():\n", - " predictions = _compute_pred()\n", - " else:\n", - " predictions = _compute_pred()\n", - " return {\"image\": inputs, \"label\": targets, \"pred\": predictions}\n", - "\n", - "\n", - "evaluator = DynUNetEvaluator(\n", - " device=device,\n", - " val_data_loader=val_loader,\n", - " network=net,\n", - " inferer=SlidingWindowInferer(\n", - " roi_size=patch_size[task_id], sw_batch_size=4, overlap=0.5\n", - " ),\n", - " post_transform=val_post_transform,\n", - " key_val_metric={\n", - " \"val_mean_dice\": MeanDice(\n", - " include_background=False,\n", - " output_transform=lambda x: (x[\"pred\"], x[\"label\"]),\n", - " )\n", - " },\n", - " val_handlers=val_handlers,\n", - " amp=True,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": { - "lines_to_next_cell": 0 - }, - "source": [ - "## MONAI trainer\n", - "Here we customized loss computation progress, so need to define `_iteration` function." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "train_handlers = [\n", - " LrScheduleHandler(lr_scheduler=scheduler, print_lr=True),\n", - " ValidationHandler(validator=evaluator, interval=2, epoch_level=True),\n", - " StatsHandler(tag_name=\"train_loss\", output_transform=lambda x: x[\"loss\"]),\n", - "]\n", - "\n", - "# define customized trainer\n", - "\n", - "\n", - "class DynUNetTrainer(SupervisedTrainer):\n", - " def _iteration(self, engine, batchdata):\n", - " inputs, targets = self.prepare_batch(batchdata)\n", - " inputs, targets = inputs.to(engine.state.device), targets.to(\n", - " engine.state.device\n", - " )\n", - "\n", - " def _compute_loss(preds, label):\n", - " if len(preds.size()) - len(targets.size()) == 1:\n", - " # In deep supervision mode, The shape of the preds is\n", - " # in the form of (Batch, deep_supr_num, C, H, W, D),\n", - " # thus they should be unbinded into a list of feature\n", - " # maps each has the shape (Batch, C, H, W, D)\n", - " preds = torch.unbind(preds, dim=1)\n", - " return sum(\n", - " 0.5 ** i * self.loss_function.forward(p, label)\n", - " for i, p in enumerate(preds)\n", - " )\n", - "\n", - " self.network.train()\n", - " self.optimizer.zero_grad()\n", - " if self.amp and self.scaler is not None:\n", - " with torch.cuda.amp.autocast():\n", - " predictions = self.inferer(inputs, self.network)\n", - " loss = _compute_loss(predictions, targets)\n", - " self.scaler.scale(loss).backward()\n", - " self.scaler.step(self.optimizer)\n", - " self.scaler.update()\n", - " else:\n", - " predictions = self.inferer(inputs, self.network)\n", - " loss = _compute_loss(predictions, targets).mean()\n", - " loss.backward()\n", - " self.optimizer.step()\n", - " return {\n", - " \"image\": inputs,\n", - " \"label\": targets,\n", - " \"pred\": predictions,\n", - " \"loss\": loss.item(),\n", - " }\n", - "\n", - "\n", - "trainer = DynUNetTrainer(\n", - " device=device,\n", - " max_epochs=max_epochs,\n", - " train_data_loader=train_loader,\n", - " network=net,\n", - " optimizer=optimizer,\n", - " loss_function=loss,\n", - " inferer=SimpleInferer(),\n", - " post_transform=None,\n", - " key_train_metric=None,\n", - " train_handlers=train_handlers,\n", - " amp=True,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Execute training with workflows" - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "logging.basicConfig(stream=sys.stdout, level=logging.INFO)\n", - "\n", - "\n", - "trainer.run()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Cleanup data directory\n", - "\n", - "Remove directory if a temporary was used." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "if directory is None:\n", - " shutil.rmtree(root_dir)" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.6.10" - } - }, - "nbformat": 4, - "nbformat_minor": 4 -}