Comments (3)
Hi,
My model result is not very smooth and can not class left and right.
A: you can not just use the 'left right flip' in google code, because the left/right label can not direct flip. (i.e., when you flip an image and its label, the left/right label is wrong. For example, in your image, when you flip the label and image, the label of right hand in image is left hand.) Maybe it is one of the reason that your results is bad.
Thanks for your reply. But why the reply content is empty.
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Hi,
Q: My model result is not very smooth and can not class left and right.
A: you can not just use the 'left right flip' in google code, because the left/right label can not direct flip. (i.e., when you flip an image and its label, the left/right label is wrong. For example, in your image, when you flip the label and image, the label of right hand in image is left hand.) Maybe it is one of the reason that your results is bad.
from graphonomy.
Thank you for your advise, I will try again.
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Related Issues (20)
- Question about trained model HOT 5
- does the universal model can inference the cihp and pascal preds? HOT 1
- Access to download the updated CHIP and PASCAL models HOT 2
- Train PASCAL from CIHP
- In the function Featuremaps_to_Graph,why softmax axis is -1?
- CUDA memory problem HOT 1
- How to fine-tune this model for a semantic segmentation task for human parsing ? HOT 2
- why actual performance is worse than deeplab v3+? HOT 2
- How to train and evaluate on deeplabv3 baseline? HOT 2
- why Inputs requires grad? HOT 1
- Closed
- No access to google drive HOT 1
- Universal trained model is in owner's trash
- where to get full pascal-part HOT 4
- Datasets license
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