Hello
Which data argumentation did you use in your actual trainning? Cuz I saw several methods that you had commented but not sure which ones did you actually use.
BTW, many of them are not working and have bugs.
for example,
add this to line 297 in dataloader.py
pad = torch.from_numpy(np.array(pad))
before this
padded_img = F.pad(img, pad, "constant", value=0).
Or it will show
TypeError: narrow(): argument 'start' (position 2) must be int, not numpy.int64
Hello Which data argumentation did you use in your actual trainning? Cuz I saw several methods that you had commented but not sure which ones did you actually use.
BTW, many of them are not working and have bugs.
for example,
add this to line 297 in dataloader.py
pad = torch.from_numpy(np.array(pad)) before this padded_img = F.pad(img, pad, "constant", value=0).
Or it will show
TypeError: narrow(): argument 'start' (position 2) must be int, not numpy.int64