Use HSV to display the optical flow graph, and then convert the HSV into RGB color map by cv2.cvtColor(hsv, cv2.COLOR_HSV2RGB) for visualization.

How to train u0? I can not find details in the paper nor the code.

Hello:
I'm sorry to disturb you, but have you ever encountered any significant loss when running tvnet? It is exponential loss. How did you solve it
thank u. @ang-13

hello ,i have a question about train the tvl1_flow_trainable.py file:
ValueError: Variable tvl1_flow/conv2d/kernel already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at:

File "/data1/dzf/tvnet/tvl1_flow_trainable.py", line 20, in grey_scale_image
kernel_initializer=ker_init, use_bias=False, trainable=False,reuse =reuse)
File "/data1/dzf/tvnet/tvl1_flow_trainable.py", line 271, in dual_tvl1_optic_flow_multiscale
grey_x1 = self.grey_scale_image(x1,reuse=False)
File "demo_new.py", line 50, in
max_iterations=iteration)
i find some solve method but failed,can you tell me why and so Thanks.Dear author

Hello:
I'm sorry to disturb you, but have you ever encountered any significant loss when running tvnet? It is exponential loss. How did you solve it
thank u. @ang-13

no, i dont have this problem.