Implementation of popular deep learning networks with TensorRT network definition API
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Updated
May 15, 2024 - C++
Implementation of popular deep learning networks with TensorRT network definition API
🛠 A lite C++ toolkit of awesome AI models, support ONNXRuntime, MNN. Contains YOLOv5, YOLOv6, YOLOX, YOLOR, FaceDet, HeadSeg, HeadPose, Matting etc. Engine: ONNXRuntime, MNN.
Reimplement RetinaFace use C++ and TensorRT
Support Yolov5(4.0)/Yolov5(5.0)/YoloR/YoloX/Yolov4/Yolov3/CenterNet/CenterFace/RetinaFace/Classify/Unet. use darknet/libtorch/pytorch/mxnet to onnx to tensorrt
Recognize 2000+ faces on your Jetson Nano with database auto-fill and anti-spoofing
Recognize 2000+ faces on your Raspberry Pi 4 with database auto-fill and anti-spoofing
Face Recognition with RetinaFace and ArcFace.
Large input size REAL-TIME Face Detector on Cpp. It can also support face verification using MobileFaceNet+Arcface with real-time inference. 480P Over 30FPS on CPU
使用retinaface完成车牌关键点检测,并在tensorRT下部署
Recognize 2000+ faces on your Jetson Nano with additional mask detection, auto-fill and anti-spoofing
Android Demon of mobilev2-yolo5s and retinaface
RetinaNet face detection model inference on edge/mobile device utilizing MNN framework.
Optimizing RetinaFace inference using TVM.
Rust GRPC server for face recognition, face detection and face alignment using TensorRT, Cuda on JetPack SDK (Jetson Nano, Jetson Xavier NX)
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