hassaanmahmood

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How to interepret results ?

how to show visually about segmentation results after getting output in result folder.

when I 'run main.py --testing' have some errors FailedPreconditionError (see above for traceback): Attempting to use uninitialized value D/d_up3_deconv/g [[node D/d_up3_deconv/g/read (defined at ../lib/operations.py:87) = Identity[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](D/d_up3_deconv/g)]] [[{{node ArgMax/_3}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_491_ArgMax", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

I am also getting same error in python main_unet.py --testing . Resolved it with `sess.run(tf.global_variables_initializer())` now getting out of memory error. trying to fix it using GPU allocation. or any...

when I 'run main.py --testing' have some errors FailedPreconditionError (see above for traceback): Attempting to use uninitialized value D/d_up3_deconv/g [[node D/d_up3_deconv/g/read (defined at ../lib/operations.py:87) = Identity[T=DT_FLOAT, _device="/job:localhost/replica:0/task:0/device:GPU:0"](D/d_up3_deconv/g)]] [[{{node ArgMax/_3}} = _Recv[client_terminated=false, recv_device="/job:localhost/replica:0/task:0/device:CPU:0", send_device="/job:localhost/replica:0/task:0/device:GPU:0", send_device_incarnation=1, tensor_name="edge_491_ArgMax", tensor_type=DT_INT64, _device="/job:localhost/replica:0/task:0/device:CPU:0"]()]]

> I am also getting same error in python main_unet.py --testing . > Resolved it with `sess.run(tf.global_variables_initializer())` > now getting out of memory error. trying to fix it using GPU...

The acc's value is always 50.000000 when training.

I also get this problem but with different dataset. loss is decreasing but accuracy is staying exactly at 50. after training I test the model with test, validation and training...