YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

Collaboration with wangxupeng(https://github.com/wangxupeng)

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

Sample apps to demonstrate how to deploy models trained with TAO on DeepStream

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

Build an Android App for deploying YOLO V3 source code on mobile phone directly.

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

这里是在ros下，使用gazebo搭建小车，并且在小车上安装摄像头的仿真，摄像头采集到的视频图像传递给darknet_ros中的yolo，yolo处理的到检测目标。

基于YOLOV3开发的智能视频监控模块(DLL)。支持视频有效片段提取、目标对象是否出现检测、目标对象出现次数，比如计数人出现多少次

YOLO Detector for the CrowdHuman Dataset. Detects people and heads. Contains training instructions on how to convert between CrowdHuman and Darknet annotations

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

校内赛无人机追踪气球

The library is MJPEG stream decoder based on libcurl and OpenCV, and written in C/C++.

darknet yolov3 tiny train model demo

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

Next generation videoconference system

基于FPGA量化的人脸口罩检测

基于YOLOv3的口罩佩戴识别（识别是否佩戴了口罩），使用MFC制作了客户端

CCFDF rebar detection