Andraw's repositories
FireDetector
Flame detection using opencv
px_golang2cpp
go2cpp : convert go to cpp using go ast
3D-LIDAR-Multi-Object-Tracking
3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
bytetrack-opencv-onnxruntime
分别使用OpenCV、ONNXRuntime部署ByteTrack目标跟踪，包含C++和Python两个版本的程序
FaceTrack_ncnn_HyperFT
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
HyperLPR
基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.
lite.ai.toolkit
🍅🍅A lite C++ toolkit of awesome AI models with ONNXRuntime, NCNN, MNN and TNN. YOLOX, YOLOP, YOLOv5, YOLOR, NanoDet, YOLOX, SCRFD, YOLOX . MNN, NCNN, TNN, ONNXRuntime, CPU/GPU.
LiveFaceReco_RaspberryPi
Face recognition and live estimation on Raspberry Pi 4B with average FPS around 20 and 2800+ faces loaded.
mobile-lpr
Mobile-LPR 是一个面向移动端的准商业级车牌识别库，以NCNN作为推理后端，使用DNN作为算法核心，支持多种车牌检测算法，支持车牌识别和车牌颜色识别。
MVision
机器人视觉 移动机器人 VS-SLAM ORB-SLAM2 深度学习目标检测 yolov3 行为检测 opencv PCL 机器学习 无人驾驶
nanodet.lite.ai.toolkit
🍅🍅NanoDet、NanoDet-Plus with ONNXRuntime/MNN/TNN/NCNN C++. (https://github.com/DefTruth/lite.ai.toolkit)
PaddleOCR2Pytorch
PaddleOCR inference in PyTorch. Converted from [PaddleOCR](https://github.com/PaddlePaddle/PaddleOCR)
Pytorch-MobileFaceNet
Pytorch实现的人脸识别明细MobileFaceNet模型，在预测使用MTCNN检测人脸，然后使用MobileFaceNet模型识别。
Safety-Helmet-Wearing-Dataset
Safety helmet wearing detect dataset, with pretrained model
TengineFactory
Algorithm acceleration landing framework, let you complete the development of algorithm at low cost.eg: Facedetect, FaceLandmark..
TensorRT
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
TensorRT-CenterNet
CenterNet TRT imeplementation
tensorRT_Pro
C++ library based on tensorrt integration
wildcat-vip-account
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YOLOv5-Multibackbone-Compression
YOLOv5 Series Multi-backbone(TPH-YOLOv5, Ghostnet, ShuffleNetv2, Mobilenetv3Small, EfficientNetLite, PP-LCNet, SwinTransformer YOLO), Module(CBAM, DCN), Pruning (EagleEye, Network Slimming) and Quantization (MQBench) Compression Tool Box.
yolov7-object-tracking
YOLOv7 Object Tracking Using PyTorch, OpenCV and Sort Tracking
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/