zuoqing1988 / train-ssdLinks
train ssd
☆10Updated 6 years ago
Alternatives and similar repositories for train-ssd
Users that are interested in train-ssd are comparing it to the libraries listed below
Sorting:
- train Gender and Age☆39Updated 6 years ago
- fast face detector☆18Updated 6 years ago
- Retinaface caffe with mnetv2 0.25(and many more)☆57Updated 6 years ago
- A C++ API of the LFFD with ncnn☆99Updated 5 years ago
- Support most of operator which convert mxnet to caffe.☆60Updated 5 years ago
- reproduce faceboxes☆53Updated 6 years ago
- Based on Onet to stabilize Face Detection BoundingBox. Fast, Smooth.☆61Updated 3 years ago
- A re-implementation of PFLD, https://arxiv.org/abs/1902.10859☆45Updated 6 years ago
- MobileNet-SSD Face Detection by ncnn☆21Updated 6 years ago
- train mxnet unet, then run it in ncnn☆64Updated 6 years ago
- 用pytorch训练ssd，相比原版pytorch-ssd改动了不少☆11Updated 3 years ago
- ☆34Updated 6 years ago
- 开源视频人脸跟踪算法,MNN基于mtcnn人脸检测+onet人脸跟踪,在i7-9700k的cpu检测速度可高达500fps☆22Updated 5 years ago
- tensorRT retinaface mobilenet☆43Updated 6 years ago
- centernet_mobilenetv2 inference by ncnn☆65Updated 5 years ago
- Intel OpenVINO Implementation of the paper of LFFD: A Light and Fast Face Detector for Edge Devices☆45Updated 5 years ago
- GHM_Detection☆16Updated 6 years ago
- A caffe implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆52Updated 6 years ago
- mtcnn-light version of adaptive image size☆47Updated 7 years ago
- Facial landmarks training by mxnet(gluon). Use for face alignment and so on.☆40Updated 7 years ago
- PCN based on ncnn framework.☆81Updated 6 years ago
- ☆30Updated 6 years ago
- Light-weight model with NCNN inference for person/pedestrian detection.☆47Updated 5 years ago
- LFFD and SSD based Method implemented by Pytorch for Basketball Recognition Competition.☆34Updated 5 years ago
- face detect and align☆55Updated 7 years ago
- ☆129Updated 6 years ago
- This is a TensorFlow implementation of SSH: Single Stage Headless Face Detector☆32Updated 6 years ago
- 使用mtcnn和o网络跟踪+光流跟踪进行多目标人脸跟踪，单目标人脸光流跟踪是0.5ms左右☆120Updated 5 years ago
- A Gluon implement of MobileNetV3☆28Updated 6 years ago
- Real-time iris detector. Only need 8ms on Intel i5 CPU!☆22Updated 6 years ago