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:

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。

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

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

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

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

Using Esp32cam as a video streaming device and with the help of yolo v3 classifying objects and then converting to speech using gtts.

Detect guns in photos and in videos using Yolov3