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These are the results I'm getting for the three demo images 1. print lace knit sleeve floral
lace knit print sleeve striped
print lace knit sleeve striped
Which seems wrong what is the suggested fix?
This is the command I am running !python demo/test_predictor.py --input demo/imgs/attr_pred_demo3.jpg --checkpoint checkpoints/latest.pth
latest.pth is the VGG backbone global pooling model and I have used list_attr_clothing.txt file provided on the deepfashion site
The text was updated successfully, but these errors were encountered:
It is not fixed. 1, 2, 3 are different. It is possibly that "print" in the dataset are major attribute, so the pretrained model has some bias.
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Okay. Thank you for the clarification 😊
Will close the issue.
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These are the results I'm getting for the three demo images
1.
print
lace
knit
sleeve
floral
lace
knit
print
sleeve
striped
print
lace
knit
sleeve
striped
Which seems wrong
what is the suggested fix?
This is the command I am running
!python demo/test_predictor.py --input demo/imgs/attr_pred_demo3.jpg --checkpoint checkpoints/latest.pth
latest.pth is the VGG backbone global pooling model
and I have used list_attr_clothing.txt file provided on the deepfashion site
The text was updated successfully, but these errors were encountered: