Comments (3)
Hi, please explain what you mean by face normalization.
Marek
from deepalignmentnetwork.
Hi,
They represents what I want to reach (face normalization):
- https://cdn-images-1.medium.com/max/800/1*igEzGcFn-tjZb94j15tCNA.png
- http://www.i-programmer.info/images/stories/News/2016/Sept/B/face.jpg
I want to train DAN with CelebA dataset to normalize the faces.
Thanks.
from deepalignmentnetwork.
Hi,
Yes, you can achieve similar results using DAN.
If you want to perform similar normalization on images from CelebA, there is no need to train DAN on them. What you need to do is process the face images in that dataset using DAN and use the facial landmarks to perform the normalization.
Marek
from deepalignmentnetwork.
Related Issues (20)
- Question about bestFit function HOT 2
- How to get my own meanFaceShape.npz HOT 1
- about DANtesting.py problem HOT 10
- How to predict without face detection? HOT 1
- some questions about GeneratePerturbations function HOT 2
- How to train a model of 5 landmarks HOT 1
- Communication group
- Too difficult to reimplement your project ! HOT 5
- how fast in average do it predict an image without gpu HOT 2
- how compute the meanshape s0 ? HOT 4
- cannot get challengingSet.npz successfully HOT 1
- Number of trainable parameters HOT 1
- How to Get Aligned Face? HOT 4
- How to train the DAN-Tracking.npz model? HOT 3
- some other networks do not converge in the second stage. HOT 3
- ValueError: mismatch: got 47 values to set 49 parameters
- cannot run ImageDemo.py HOT 2
- About meanshape.npz HOT 7
- Memory Error, system requirement HOT 1
- Error HOT 1
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from deepalignmentnetwork.