Comments (2)
OMG!
I observered these misplaced landmarks closely, and find that their shapes basically match subjects's facial parts, but squeezed on th y demension.
So I tried to enlarge their y cordinations by the ratio of image itself. The modified landmarks matched perfectly! The model's generalizatin is absolutly fine.
Then the previous problem may rise from my code modification. I'd better look into my code more carefully, debug and avoid manual modification on my landmarks.
Again, thanks for your sharing!
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@HongRealLee
I would like to use this code as a preprocess as well, would you share your code please?,
How did you address the missing landmarks? is the "heatmap" list is all zeros in the beginning?
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Related Issues (20)
- cant find AdaptiveWingLoss implement HOT 4
- How to show boundary map HOT 3
- what is the 'boundary_channels' output by Coordconv and how to use them? HOT 1
- Why does the output have one more channel than the num of landmarks? HOT 1
- Training code implementation HOT 8
- what is output dimention? HOT 2
- 68 Facial landmarks model HOT 1
- how visualize result? HOT 2
- recently can u realese the training code
- why facial landmarks for covered parts?
- Run the code on custom data?
- Please consider releasing the training code HOT 1
- When will the pretrained model on 300W be released? HOT 4
- Two years have passed, have you considered release the train code? HOT 3
- Get 4.68 NME on WFLW dataset
- what does the model return if there is no face in the image?
- NME calculation for 68 points
- hello, can you please provide the weight files ?
- When testing in videos, the results are dithering HOT 5
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