🔥 🔥 🔥 SmartOpenCV
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Updated
Apr 28, 2020 - C++
🔥 🔥 🔥 SmartOpenCV
Deep learning face detection and recognition, implemented by pytorch. (pytorch实现
Use Apple FaceID or TouchID authentication in your app using BiometricAuthentication.
ncnn example: mask detection: anticonv face detection: retinaface&&mtcnn&¢erface, track: iou tracking, landmark: zqcnn, recognize: mobilefacenet classifier: mobilenet object detecter: mobilenetssd
[High Performance / MAX 30 FPS] RaspberryPi3(RaspberryPi/Raspbian Stretch) or Ubuntu + Multi Neural Compute Stick(NCS/NCS2) + RealSense D435(or USB Camera or PiCamera) + MobileNet-SSD(MobileNetSSD) + Background Multi-transparent(Simple multi-class segmentation) + FaceDetection + MultiGraph + MultiProcessing + MultiClustering
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
Face Detection with Python using OpenCV
A re-implementation of mtcnn. Joint training, tutorial and deployment together.
实现
Algorithm acceleration landing framework, let you complete the development of algorithm at low cost.eg: Facedetect, FaceLandmark..
Light Face Detection using PyTorch Lightning
With Viola android face detection library, you can detect faces in a bitmap, crop faces using predefined algorithm and get additional information from the detected faces.
Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models
OpenVINO+NCS2/NCS+MutiModel(FaceDetection, EmotionRecognition)+MultiStick+MultiProcess+MultiThread+USB Camera/PiCamera. RaspberryPi 3 compatible. Async.
Make faces blurred for videos using DNN
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