Comments (1)
@fullfanta actually, I trained two models, one for face alignment given face region (i.e., rect), and the other one for face tracking given the shape from previous frame. These two models are trained with different initializations. The first one is trained with face regions detected by your face detector, the other one is trained with face regions of bounding box of ground-truth shape. When conducting tracking, I found initialze with mean shape is better than directly using the final shape predicted from previous frame.
Hope this helps you.
from face-alignment.
Related Issues (20)
- Radius & liblinear parameter C HOT 1
- train_model: loadLibrary Can't load HOT 1
- License HOT 2
- best config for train and test HOT 1
- Training a new model HOT 6
- About testing the face alignment without ground truth *.pts files HOT 2
- about meanshape HOT 1
- the result in LFPW and Helen HOT 7
- 21 landmark dataset HOT 2
- Could not LoadSamples HOT 4
- i want to know where is the function ‘enlargingbbox’ defined in ‘src/loadsamples.m’? HOT 2
- Datasets site is offline. HOT 2
- Parallel processing not working HOT 5
- A problem about textread.m
- The globalregression doesn't work HOT 1
- Requires bounding box to fit face
- About the speed of Liblinear SVM 'train' HOT 1
- 运行自己的图片,缺少.pts HOT 4
- 训练模型运行出错 HOT 3
- Undefined function 'train' corresponding to the input parameter of 'double' type. HOT 2
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from face-alignment.