HsinYingLee / DRIT

Learning diverse image-to-image translation from unpaired data

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Error

redhat12345 opened this issue · comments

Hi, I am getting the following error. How can solve this? Thanks in advance.

--- train ---
/home/mahfuj/drit_virtual/lib/python3.5/site-packages/torch/nn/functional.py:1006: UserWarning: nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.
warnings.warn("nn.functional.sigmoid is deprecated. Use torch.sigmoid instead.")
Traceback (most recent call last):
File "/home/mahfuj/drit_virtual/lib/python3.5/site-packages/PIL/Image.py", line 2460, in fromarray
mode, rawmode = _fromarray_typemap[typekey]
KeyError: ((1, 1, 438), '|u1')

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "train.py", line 78, in
main()
File "train.py", line 56, in main
saver.write_display(total_it, model)
File "/media/user/DATA/wacv_round2/DRIT/src/saver.py", line 55, in write_display
self.writer.add_image('Image', image_dis, total_it)
File "/home/user/drit_virtual/lib/python3.5/site-packages/tensorboardX/writer.py", line 412, in add_image
self.file_writer.add_summary(image(tag, img_tensor), global_step, walltime)
File "/home/user/drit_virtual/lib/python3.5/site-packages/tensorboardX/summary.py", line 205, in image
image = make_image(tensor, rescale=rescale)
File "/home/user/drit_virtual/lib/python3.5/site-packages/tensorboardX/summary.py", line 243, in make_image
image = Image.fromarray(tensor)
File "/home/user/drit_virtual/lib/python3.5/site-packages/PIL/Image.py", line 2463, in fromarray
raise TypeError("Cannot handle this data type")
TypeError: Cannot handle this data type

What's your Pytorch, TensorboardX, PIL Image version?

Hello there
I also have the same issue
I use torch=0.41, tensorboardX=1.4, pillow=5.2 in windows with python3.6

Thanks for pointing out the problem. We have fixed the corresponding code.

Thanks a lot for your generous help :)