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TensorFlow implementation of DeepMask and SharpMask

License: Apache License 2.0

Python 100.00%
deepmask image-recognition image-segmentation machine-learning ml object-detection python resnet segmentation sharpmask tensorflow

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sharpmask's Issues

Trouble in Training own dataset for 1 class

python run_model.py --model=deepmask --train --train_path=/home/jp/PycharmProjects/newSharpMask/sharpmask/train --validation_path=/home/jp/PycharmProjects/newSharpMask/sharpmask/val --checkpoint_path=/home/jp/PycharmProjects/newSharpMask/sharpmask/sm_dump

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value resnet_model/batch_normalization_45/gamma
[[Node: resnet_model/batch_normalization_45/gamma/read = IdentityT=DT_FLOAT, _class=["loc:@deepm...lyMomentum"], _device="/job:localhost/replica:0/task:0/device:CPU:0"]]

evaluate

hello,how to use map to evaluate this model

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