Output Channels

[astraeus1258]

I try my own dataset but find out that the outputs are 1-channel pictures, but your paper use Human 3.6M dataset and can work and print RGB pictures, I'm confirmed that I've changed the channel to 3, but still got 1-channel outputs and I don't know why, so could you please tell me why? That would means a lot to me

[sangmin-git]

It can be simply solved according to #11

Thanks!

[astraeus1258]

Thank you so much for your reply!

[astraeus1258]

It can be simply solved according to #11

Thanks!

Hi! I succeed to transform the pictures to RGB, but I still got some problems, I would appreciate it if you could reply!
I want to use n pictures as input and predict (16-n) frames, that means I should have 16 pictures in every folder. Like the examples you give:
movingmnist
├── train
│ ├── video_00000
│ │ ├── frame_00000.jpg
...
│ │ ├── frame_xxxxx.jpg
...
│ ├── video_xxxxx
I should have lots of video folders and each folder has 16 frames. But I found it failed if I only use 16 frames, it will shows the error "Stop Iteration" , and I don't know how to solve it, should I change the code? I try 160 frames can work but that doesn't meet my needs.
So do you have any advice for me? I'm looking forward to your reply!