Sorry I don't know why my training .npy file does not work, could you please tell me why? or provide .npy file for train?

[DanggoRyo]

Sorry I don't know why my training .npy file didn't work, could you please tell me why? Or provide .npy file for train?

The following are the errors that result from training with .npy file：

Traceback (most recent call last):
File "e:\HistoSeg\HistoSeg-Tensorflow\HistoSeg_Train.py", line 629, in
results=model.fit(X_train, y_train, batch_size=batch_arg, epochs=epochs_arg, callbacks=callbacks, validation_data=(X_test, y_test) , verbose = 1)
File "E:\Users\15199\anaconda3\envs\Histoseg\lib\site-packages\tensorflow\python\keras\engine\training_v1.py", line 793, in fit
return func.fit(
File "E:\Users\15199\anaconda3\envs\Histoseg\lib\site-packages\tensorflow\python\keras\engine\training_arrays_v1.py", line 644, in fit
return fit_loop(
File "E:\Users\15199\anaconda3\envs\Histoseg\lib\site-packages\tensorflow\python\keras\engine\training_arrays_v1.py", line 380, in model_iteration
batch_outs = f(ins_batch)
File "E:\Users\15199\anaconda3\envs\Histoseg\lib\site-packages\tensorflow\python\keras\backend.py", line 4067, in call
fetched = self._callable_fn(*array_vals,
File "E:\Users\15199\anaconda3\envs\Histoseg\lib\site-packages\tensorflow\python\client\session.py", line 1483, in call
ret = tf_session.TF_SessionRunCallable(self._session._session,
tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) INVALID_ARGUMENT: assertion failed: [labels out of bound] [Condition x < y did not hold element-wise:] [x (metrics/mean_io_u/confusion_matrix/control_dependency:0) = ] [0 0 0...] [y (metrics/mean_io_u/confusion_matrix/Cast_2:0) = ] [2]
[[{{function_node metrics_mean_io_u_confusion_matrix_assert_less_Assert_AssertGuard_false_7653}}{{node Assert}}]]
[[expanded_conv_11_project_BN/cond/then/_980/FusedBatchNormV3/_6151]]
(1) INVALID_ARGUMENT: assertion failed: [labels out of bound] [Condition x < y did not hold element-wise:] [x (metrics/mean_io_u/confusion_matrix/control_dependency:0) = ] [0 0 0...] [y (metrics/mean_io_u/confusion_matrix/Cast_2:0) = ] [2]
[[{{function_node metrics_mean_io_u_confusion_matrix_assert_less_Assert_AssertGuard_false_7653}}{{node Assert}}]]

Thanks.

[saadwazir]

try these files
HistoSeg_X_train_MoNuSeg_patches.npy
HistoSeg_y_train_MoNuSeg_patches.npy

[DanggoRyo]

Thank you, I know why it can't run before, because the grayscale channel value is 1.