Comments (10)
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
Please simply just do not load the pretrained weights
Hi,
I train it without the pretrained weights, however the histogram loss on lip and eyes are still zeroI solved this problem three weeks ago and could not remember details. Despite not loading the pretrained weights, there's something wrong about the makeup loss as my memory rewinds, a problem that I forgot to write down. I tackled the problem by visualizing the image results during and after Histogram matching. I bet you could solve the problem via visualizing intermediate results too.
Could you share the makeup loss after you fixed it? Actually, I visualized the image after Histogram matching and found the result which before and after histogram_matching was same! I am puzzled about it, do you have any ideas?
I made tons of modification locally. It's a little difficult for me to tell which modification solved the problem. Nonetheless, a cross comparison with the HEAD might point answer to line 26 and 29 in HistogramLoss class. You can try to remove the unsqueeze action in these two lines.
from psgan.
Encountered the same issue. Did you solve it? Thanks
from psgan.
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
from psgan.
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
Please simply just do not load the pretrained weights
from psgan.
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
Please simply just do not load the pretrained weights
Hi,
I train it without the pretrained weights, however the histogram loss on lip and eyes are still zero
from psgan.
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
Please simply just do not load the pretrained weights
Hi,
I train it without the pretrained weights, however the histogram loss on lip and eyes are still zero
I solved this problem three weeks ago and could not remember details. Despite not loading the pretrained weights, there's something wrong about the makeup loss as my memory rewinds, a problem that I forgot to write down. I tackled the problem by visualizing the image results during and after Histogram matching. I bet you could solve the problem via visualizing intermediate results too.
from psgan.
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
Please simply just do not load the pretrained weights
Hi,
I train it without the pretrained weights, however the histogram loss on lip and eyes are still zeroI solved this problem three weeks ago and could not remember details. Despite not loading the pretrained weights, there's something wrong about the makeup loss as my memory rewinds, a problem that I forgot to write down. I tackled the problem by visualizing the image results during and after Histogram matching. I bet you could solve the problem via visualizing intermediate results too.
Could you share the makeup loss after you fixed it? Actually, I visualized the image after Histogram matching and found the result which before and after histogram_matching was same! I am puzzled about it, do you have any ideas?
from psgan.
Encountered the same issue. Did you solve it? Thanks
Have you solved it?
Please simply just do not load the pretrained weights
Hi,
I train it without the pretrained weights, however the histogram loss on lip and eyes are still zeroI solved this problem three weeks ago and could not remember details. Despite not loading the pretrained weights, there's something wrong about the makeup loss as my memory rewinds, a problem that I forgot to write down. I tackled the problem by visualizing the image results during and after Histogram matching. I bet you could solve the problem via visualizing intermediate results too.
Could you share the makeup loss after you fixed it? Actually, I visualized the image after Histogram matching and found the result which before and after histogram_matching was same! I am puzzled about it, do you have any ideas?
I made tons of modification locally. It's a little difficult for me to tell which modification solved the problem. Nonetheless, a cross comparison with the HEAD might point answer to line 26 and 29 in HistogramLoss class. You can try to remove the unsqueeze action in these two lines.
Solve it! Thanks a lot!
from psgan.
solved.
from psgan.
@CelineWang1027 how did u solve it?
from psgan.
Related Issues (20)
- Download training dataset HOT 8
- landmark and segments file HOT 3
- partial makeup example HOT 3
- Test result HOT 4
- CUDA out of memory HOT 6
- PSGAN++ HOT 3
- about 'affine' param in InstanceNorm2d HOT 1
- white spots in the generated image HOT 5
- 如果使用自己的数据集训练 seg与landmark如何生成 HOT 1
- Download makeup-wild Dataset HOT 2
- Error occurred when i run demo.py HOT 5
- how to get attention map? HOT 1
- RuntimeError: 'weight' must be 2-D HOT 1
- Some advice about license compliance
- Histogram Loss Doesn't Match Paper
- How do I get the png image under the landmark folder
- training result is not good
- How to convert to ONNX?
- ImportError: cannot import name 'load_state_dict_from_url' from 'torchvision.models.vgg'
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