Comments (8)
@lyttonhao , the model is trained on the trainset of afw, lfpw and helen. To run the model succesffuly, you may need to copy parameter settings from 'models/config_te_best.txt' to config_te.m.
from face-alignment.
Thanks @jwyang.
from face-alignment.
Hi, @jwyang, in your implementation, the face detection boxes are obtained using ground truth shapes. I think it's not fair to compare results with the original paper. Or does the original paper also use this strategy as this is consensus in face alignment?
from face-alignment.
In the original paper, I did not find any clues about the face detection strategy. In the time I implement the codes, I was not able to find any provided face rectangles for those dataset. According to the participants of the 300-W chalenge, the initial rectangle is the bounding box of face landmarks.
from face-alignment.
if you get any further information about the strategy for providing initial face rectangles, please let me know. I will appreciate much.
from face-alignment.
Okay, thanks. @jwyang
from face-alignment.
@jwyang, I think the training parameters are different from the testing parameters setting in the file 'models/config_te_best.txt'. Right? Can you give the training parameters setting? Thanks.
from face-alignment.
@lyttonhao , you can set the training parameters as the testing parameters, which is one of the suggested configuration for this project. Acutally, you can set any parameters as you like, e.g., analogy to the configuration in the original paper.
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.