Using Yolo and Darknet as the underlying codebase
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Updated
Apr 30, 2020 - Shell
Using Yolo and Darknet as the underlying codebase
Pistol, Rifle, and Fire detection using yolov4-tiny in videos as well as images. Training code, dataset, and trained weight file available.
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。
Implementation of object detection in images using YOLO model and open CV.
Telegram bot, which detects face masks on images
This project analyze real time CCTV images with Convolutional Neural Networks.
Simple script to create your own .cfg to train a Darknet YOLO model
To detect Number Plates from an image.
Real Time Object Detection using Darknet YOLO (You Only Look Once) algorithm on the COCO (Common Objects in Context) dataset.
Javascript based Image Recognition using Darknet's YOLOv4 Implementation
Docker images for Python with Darknet (https://github.com/AlexeyAB/darknet)
An object detector using YOLOv3 Darknet that can identify four different types of white blood cells in rhesus macaque monkeys
Training YoloV3 with custom dataset
this setup support Ubuntu 18.04
The project aims at developing a face mask and social distancing detector.
Flask based Image Recognition using Darknet's YOLOv4 Implementation
Image Dataset and Weights for image recognition of Explosive Devices
It is a project built using opencv python library and darknet-yolov3.
Dockerfile for Darknet Yolo v4, v3 and v2 (https://github.com/AlexeyAB/darknet)
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