zhaotun / RetinaFace_NCNN_Android_demoLinks
A retinaface android demo based on ncnn.
☆23Updated 5 years ago
Alternatives and similar repositories for RetinaFace_NCNN_Android_demo
Users that are interested in RetinaFace_NCNN_Android_demo are comparing it to the libraries listed below
Sorting:
- Face Recognition Project on mobile phone, using ncnn to deploy it.☆83Updated 5 years ago
- InsightFaceRecognition_Demo_AndroidNCNN☆66Updated 5 years ago
- Android face detection 30+ FPS, pretrained weight 1MB.☆120Updated 5 years ago
- An Face Anti-spoofing Method for Print and Video Attacks☆75Updated 5 years ago
- A simple example implementing mobilefacenet for face recognition on ncnn☆58Updated 7 years ago
- ☆141Updated 6 years ago
- Official implementation for paper "A Real-Time and Long-Term Face Tracking Method Using Convolutional Neural Network and Optical Flow for…☆204Updated 3 years ago
- 基于ncnn的手机端轻量级人脸检测和关键点定位模型☆52Updated 4 years ago
- deep-sdm is appied for face landmark.☆73Updated 5 years ago
- Deep Head(face) Pose Estimation☆42Updated 5 years ago
- 完整版caffe-cpp实现☆55Updated 5 years ago
- Retinaface pytorch face-pose-detect face-key-point-detect☆36Updated 4 years ago
- ☆91Updated 5 years ago
- 适用于移动端的人脸识别模型,计算量与mobilefacenet相同,但megaface上提升了2%+☆233Updated 5 years ago
- implementation of ncnn's mobileFacenet☆194Updated 6 years ago
- A re-implementation of PFLD, https://arxiv.org/abs/1902.10859☆45Updated 5 years ago
- Demonstration of CNN Pruning on MTCNN and MobileFaceNet using Pytorch framework☆38Updated 5 years ago
- android application, mtcnn face detection based on MNN framework☆25Updated 6 years ago
- A C++ API of the LFFD with ncnn☆99Updated 5 years ago
- Working on 68/96 landmarks detection with RetinaFace with MobileNet 0.25☆117Updated 2 years ago
- faceboxes@ncnn☆41Updated 6 years ago
- alibaba MNN, mobilenet classifier, centerface detecter, ultraface detecter, pfld landmarker and zqlandmarker, mobilefacenet☆207Updated 3 years ago
- arcface and retinaface model convert mxnet to onnx.☆61Updated 4 years ago
- [Re-implementation] RetinaFace: Single-stage Dense Face Localisation in the Wild☆26Updated 5 years ago
- 基于人脸关键区域提取的人脸识别(LFW:99.82%+ CFP_FP:98.50%+ AgeDB30:98.25%+)☆275Updated 4 years ago
- ☆82Updated 2 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
- train Gender and Age☆39Updated 6 years ago
- 1000点的人脸关键点检测☆8Updated 5 years ago
- Retinaface caffe with mnetv2 0.25(and many more)☆57Updated 6 years ago