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update models #24

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pooyadavoodi merged 2 commits into from
Feb 28, 2019
Merged

update models #24

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cdb3861
update resnet_v1 and resnet_v2
Feb 12, 2019
b5c5a12
put copy into download_model function
Feb 27, 2019
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20 changes: 15 additions & 5 deletions tftrt/examples/image-classification/image_classification.py
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Original file line number Diff line number Diff line change
Expand Up @@ -202,16 +202,16 @@ def get_netdef(model):

'resnet_v1_50': NetDef(
name='resnet_v1_50',
url='http://download.tensorflow.org/models/official/20180601_resnet_v1_imagenet_checkpoint.tar.gz',
model_dir_in_archive='20180601_resnet_v1_imagenet_checkpoint',
url='http://download.tensorflow.org/models/official/20181001_resnet/checkpoints/resnet_imagenet_v1_fp32_20181001.tar.gz',
model_dir_in_archive='resnet_imagenet_v1_fp32_20181001',
slim=False,
preprocess='vgg',
model_fn=official.resnet.imagenet_main.ImagenetModel(resnet_size=50, resnet_version=1)),

'resnet_v2_50': NetDef(
name='resnet_v2_50',
url='http://download.tensorflow.org/models/official/20180601_resnet_v2_imagenet_checkpoint.tar.gz',
model_dir_in_archive='20180601_resnet_v2_imagenet_checkpoint',
url='http://download.tensorflow.org/models/official/20181001_resnet/checkpoints/resnet_imagenet_v2_fp32_20181001.tar.gz',
model_dir_in_archive='resnet_imagenet_v2_fp32_20181001',
slim=False,
preprocess='vgg',
model_fn=official.resnet.imagenet_main.ImagenetModel(resnet_size=50, resnet_version=2)),
Expand Down Expand Up @@ -398,7 +398,17 @@ def find_checkpoint_in_dir(model_dir):
checkpoint_path = '.'.join(parts[:ckpt_index+1])
return checkpoint_path


def download_checkpoint(model, destination_path):
#copy files from source to destination (without any directories)
def copy_files(source, destination):
try:
shutil.copy2(source, destination)
except OSError as e:
pass
except shutil.Error as e:
pass

# Make directories if they don't exist.
if not os.path.exists(destination_path):
os.makedirs(destination_path)
Expand All @@ -416,7 +426,7 @@ def download_checkpoint(model, destination_path):
get_netdef(model).model_dir_in_archive,
'*')
for f in glob.glob(source_files):
shutil.copy2(f, destination_path)
copy_files(f, destination_path)

def get_frozen_graph(
model,
Expand Down