Feng Hou
Feng Hou
@tonylins @Jaychoukobbe Hi, I also finetune the TSM_kinetics_RGB_resnet50_shift8_blockres_avg_segment8_e50.pth on UCF101 split 1 using the command below: ''' python main.py ucf101 RGB --arch resnet50 --num_segments 8 --gd 20 --lr 0.001 --lr_steps...
> > @RaceSu I am having the same error. Did you find the solution? > > I solved it, the image height and width you set in code is not...
I met the same problem with you. Did you solve the problem?
I met the same problem with you. Did you solve the problem?
Thanks for your work. I train the spine_localization, vertebrae_localization and vertebrae_segmentation by using upsample3d and server_dataset_loop.py as you say, all of them still slow on Tesla V100, 100 training iterations...
Thanks for your answer in details. Finally, I run the preprocessing on a server that has 48 cpu cores and adapt the line `super(VerseServerDataset, self).__init__(queue_size=48, refill_queue_factor=0.0, n_threads=48, use_multiprocessing=True)` in `server_dataset_loop.py`,...
@christianpayer @zengchan I'm sorry for bothering you again. As my training on spine_localization, I find the results are much different with different cross entropy folder. In terms of my experiments,...
@Baymine Hi, did you fix the problem? I have the same issue.