sharpmask

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Trouble in Training own dataset for 1 class

1

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 = Identity[T=DT_FLOAT, _class=["loc:@deepm...lyMomentum"], _device="/job:localhost/replica:0/task:0/device:CPU:0"](resnet_model/batch_normalization_45/gamma)]]

jps892

evaluate

4

hello,how to use map to evaluate this model

ccxietao