Comments (1)
I am sorry to reply you so late.
Actually, the Yi Sun's code can get the result.bin which could not be used directly. If you want to use my code to do alignment, you should transform the result.bin to the '.5pt' file. The format of '.5pt' file is as follows:
x_(left eye) y_(left eye)
x_(right eye) y_(right eye)
x_(noise) y_(noise)
x_(left mouth corner) y_(left mouth corner)
x_(right mouth corner)) y_(right mouth corner)
The file structure of facial points file is followed as the structure of images, for example,
lfw/image/Aaron_Eckhart/Aaron_Eckhart_0001.jpg
lfw/image/Aaron_Eckhart/Aaron_Eckhart_0001.5pt
Moreover, according to others' email, reproducing my result on LFW is not necessary to perform face alignment as my method. Other similar alignment pre-processing on face images is OK.
from face_verification_experiment.
Related Issues (20)
- There may be some errors in the 'labels' HOT 3
- Where do you get the 5 facial points for MSCELEB dataset. Do you use some other model to find the facial points ? HOT 1
- Xavier vs Gaussian HOT 1
- I feel the size of the trainning data doubt HOT 1
- no an issue but a doubt HOT 2
- about lfw labels in model C-LightenedCNN_C_lfw.mat HOT 3
- Error occurred when computing accuracy
- Query
- no such file in your clean list
- Eltwise层名字拼写错误有影响吗?
- MegaFace Evaluation: it generated 'OpenCV Error' when running experiment.py with own features HOT 1
- hello,your model A and B is small,why your model C is bigger than B by using the same cnn architecture HOT 1
- can't get the same result HOT 3
- How to use fine tuned model to do classification for an image in light CNN?
- Any architecture patent information HOT 1
- the issue about architecture
- LightenedCNN_A_deploy.prototxt
- The evaluation of CASIA-NIR2.0
- Request Pretrained lightenedCNN model in .mat format HOT 1
- Computation of rank 1
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from face_verification_experiment.