data_preprocess problem & training implementation problem
Opened this issue · 1 comments
-
I followed the procedure of the datasets downloading and arrangement, but when I run data_preprocess.py, I got the problem:
So is it OK to ignore the missed files? -
I ignored the missed files, it seems some files are lost as below:
../My_NOCS/data/train/18690/0002_meta.txt
../My_NOCS/data/train/18690/0003_mask.png
../My_NOCS/data/train/18690/0009_mask.png
../My_NOCS/data/train/00469/0000_mask.png
../My_NOCS/data/train/00469/0001_mask.png
../My_NOCS/data/train/00469/0002_mask.png
../My_NOCS/data/train/00469/0004_mask.png
../My_NOCS/data/train/00469/0005_mask.png
../My_NOCS/data/train/00469/0007_depth.png
../My_NOCS/data/train/00469/0009_depth.png
- After ignoring the missed files and preprocessing them, I run train.py in the pytorch0.4.1 environment, but the training process stuck on the 1st epoch when train_count = 5000:
So are there any suggestions? Thanks!
../My_NOCS/data/train/18690/0002_meta.txt
../My_NOCS/data/train/18690/0003_mask.png
../My_NOCS/data/train/18690/0009_mask.png
../My_NOCS/data/train/00469/0000_mask.png
../My_NOCS/data/train/00469/0001_mask.png
../My_NOCS/data/train/00469/0002_mask.png
../My_NOCS/data/train/00469/0004_mask.png
../My_NOCS/data/train/00469/0005_mask.png
../My_NOCS/data/train/00469/0007_depth.png
../My_NOCS/data/train/00469/0009_depth.png那么有什么建议吗?谢谢!
Hi, I have the same file loss situation, but it seems like we are losing different data, we can check each other and exchange data to complete the training.