AndaJ

DeepStream-Yolo

NVIDIA DeepStream SDK 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models

Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

SensorsCalibration

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

SE-SSD

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud, CVPR 2021.

jpdaf_tracking

A tracker based on joint probabilistic data association filtering.

camera_calibration_tool

OpenCV-Python 相机标定及矫正，张正友相机标定法

100-Days-Of-ML-Code

100 Days of ML Coding

100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

30dayMakeCppServer

30天自制C++服务器，包含教程和源代码

TinyWebServer

:fire: Linux下C++轻量级WebServer服务器

sort_cpp

SORT (A simple online and realtime tracking algorithm for 2D multiple object tracking in video sequences) and SSD face detector.

Calibration-ZhangZhengyou-Method

Calibrate the camera with ZhangZhengyou method (in both distortion case and no distortion case)

frame_timestamp

cJSON

Ultralightweight JSON parser in ANSI C

simple-obfs

A simple obfuscating tool (Deprecated)

awesome-vehicle_reid-dataset

Collection of public available vehicle re-identification datasets

EasyLogger

An ultra-lightweight(ROM<1.6K, RAM<0.3k), high-performance C/C++ log library. | 一款超轻量级(ROM<1.6K, RAM<0.3k)、高性能的 C/C++ 日志库

iniparser

ini file parser

leetcode

LeetCode Problems' Solutions

ubuntu-core

:earth_africa: `ubuntu-core` Docker image for multiple architectures

pytorch-slimming

Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.

License-Plate-Detector

基于Yolov5车牌检测,更快更准.

10kinds-light-face-detector-align-recognition

10种轻量级人脸检测算法的比拼，其中还包含人脸关键点检测与对齐，人脸特征向量提取和计算距离相似度

DBFace

DBFace is a real-time, single-stage detector for face detection, with faster speed and higher accuracy

jetson_benchmarks

Jetson Benchmark

Ultra-Light-Fast-Generic-Face-Detector-1MB

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

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。

light-LPR

Light-LPR is an open source project aimed at license plate recognition that can run on embedded devices, mobile phones, and x86 platforms. It aims to support license plate recognition in various scenarios. The accuracy rate of license plate character recognition exceeds 99.95%, and the comprehensive recognition accuracy rate exceeds 99.%, Support multi-country and multilingual license plate recognition.

MobileNet-Yolo

MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:

Pytorch_Retinaface

Retinaface get 80.99% in widerface hard val using mobilenet0.25.