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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A face detection algorithm
| Date | Stars |
|---|---|
| 2026-07-24 | 316 |
| 2026-07-25 | 316 |
| 2026-07-28 | 316 |
| 2026-07-30 | 316 |
| 2026-08-06 | 316 |
Today
— stars today
This week
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This month
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Momentum
0.0
growth rate 0.00%/day
# mtcnn-pytorch
# Descriptions in chinese
https://blog.csdn.net/Sierkinhane/article/details/83308658
# results:
# Test an image
* run > python mtcnn_test.py
# Training data prepraring
* download [WIDER FACE](https://pan.baidu.com/s/1sJTO7TcQ2576RUqR_IIhbQ) (passcode:lsl3) face detection data then store it into ./data_set/face_detection
* run > python ./anno_store/tool/format/transform.py change .mat(wider_face_train.mat) into .txt(anno_train.txt)
* download [CNN_FacePoint](http://mmlab.ie.cuhk.edu.hk/archive/CNN_FacePoint.htm) face detection and landmark data then store it into ./data_set/face_landmark
# Training
* preparing data for P-Net
* run > python mtcnn/data_preprocessing/gen_Pnet_train_data.py
* run > python mtcnn/data_preprocessing/assemble_pnet_imglist.py
* train P-Net
* run > python mtcnn/train_net/train_p_net.py
* preparing data for R-Net
* run > python mtcnn/data_preprocessing/gen_Rnet_train_data.py (maybe you should change the pnet model path)
* run > python mtcnn/data_preprocessing/assemble_rnet_imglist.py
* train R-Net
* run > python mtcnn/train_net/train_r_net.py
* preparing data for O-Net
* run > python mtcnn/data_preprocessing/gen_Onet_train_data.py
* run > python mtcnn/data_preprocessing/gen_landmark_48.py
* run > python mtcnn/data_preprocessing/assemble_onet_imglist.py
* train O-Net
* run > python mtcnn/train_net/train_o_net.py
# Citation
[DFace](https://github.com/kuaikuaikim/DFace)
Excerpt of 1,829 characters
Read on GitHubWould you bet a product on this? Bounded 0–100 and slow moving.
matched fp:42cbf26358e69a85, topic:pytorch
matched fp:42cbf26358e69a85, topic:computer-vision