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Speeds up significantly the computation of IoU #10

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Speeds up significantly the computation of IoU #10

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8 changes: 4 additions & 4 deletions README.md
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Original file line number Diff line number Diff line change
Expand Up @@ -95,7 +95,7 @@ TODO: Make the color map more sensible.

First generate labels masks with level3Ids as described before. Then
```bash
python evaluate/evaluate_mIoU.py --gts $GT --preds $PRED --num-workers $C
python evaluation/evaluate_mIoU.py --gts $GT --preds $PRED --num-workers $C
```

- GT is the folder path of ground truths containing <drive_no>/<img_no>_gtFine_labellevel3Ids.png
Expand All @@ -107,7 +107,7 @@ python evaluate/evaluate_mIoU.py --gts $GT --preds $PRED --num-workers $C

First generate labels masks with level1Ids as described before. Then
```bash
python evaluate/idd_lite_evaluate_mIoU.py --gts $GT --preds $PRED --num-workers $C
python evaluation/idd_lite_evaluate_mIoU.py --gts $GT --preds $PRED --num-workers $C
```

- GT is the folder path of ground truths containing <drive_no>/<img_no>_gtFine_labellevel1Ids.png
Expand All @@ -120,7 +120,7 @@ python evaluate/idd_lite_evaluate_mIoU.py --gts $GT --preds $PRED --num-worker

First generate instance label masks with ID_TYPE=id, as described before. Then
```bash
python evaluate/evaluate_instance_segmentation.py --gts $GT --preds $PRED
python evaluation/evaluate_instance_segmentation.py --gts $GT --preds $PRED
```

- GT is the folder path of ground truths containing <drive_no>/<img_no>_gtFine_labellevel3Ids.png
Expand All @@ -134,7 +134,7 @@ Please use https://github.com/AutoNUE/panopticapi
### Detection

```bash
python evaluate/evaluate_detection.py --gts $GT --preds $PRED
python evaluation/evaluate_detection.py --gts $GT --preds $PRED
```
- GT is the folder path of ground truths containing Annotations/<capture_category>/<drive sequence>/<>.xml
- PRED is the folder path of predictions with generated outputs in idd_det_<image_set>_<level3Id>.txt format. Here image_set can take {train,val,test}, while level3Id for all trainable labels has to present.
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8 changes: 1 addition & 7 deletions evaluation/evaluate_mIoU.py
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Expand Up @@ -40,13 +40,7 @@ def add_to_confusion_matrix(gt, pred, mat):
pred = pred.flatten()
gt = gt.flatten()


for (gtp,predp) in zip(gt, pred):
if gtp == 255 or gtp >26 :
gtp = 26
if predp == 255 or predp >26:
predp = 26
mat[gtp, predp] += 1
np.add.at(mat.reshape(-1),mat.shape[1]*gt.copy().clip(max=26).astype(np.uint16)+pred.copy().clip(max=26).astype(np.uint16),1)

return mat

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8 changes: 1 addition & 7 deletions evaluation/idd_lite_evaluate_mIoU.py
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Expand Up @@ -40,13 +40,7 @@ def add_to_confusion_matrix(gt, pred, mat):
pred = pred.flatten()
gt = gt.flatten()


for (gtp,predp) in zip(gt, pred):
if gtp == 255 or gtp >7 :
gtp = 7
if predp == 255 or predp >7:
predp = 7
mat[gtp, predp] += 1
np.add.at(mat.reshape(-1),mat.shape[1]*gt.copy().clip(max=7).astype(np.uint16)+pred.copy().clip(max=7).astype(np.uint16),1)

return mat

Expand Down