There are 40 repositories under darknet topic.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
YOLO ROS: Real-Time Object Detection for ROS
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
License Plate Detection and Recognition in Unconstrained Scenarios
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
An open source tool to quantify the world
NVIDIA DeepStream SDK 7.1 / 7.0 / 6.4 / 6.3 / 6.2 / 6.1.1 / 6.1 / 6.0.1 / 6.0 / 5.1 implementation for YOLO models
fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测,烟雾检测
TensorRT8.Support Yolov5n,s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.
YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!
🚇暗网中文网监控爬虫(DEEPMIX)
Label images and video for Computer Vision applications
A caffe implementation of MobileNet-YOLO detection network
Convert JSON annotations into YOLO format.
This repository allows you to get started with training a state-of-the-art Deep Learning model with little to no configuration needed! You provide your labeled dataset or label your dataset using our BMW-LabelTool-Lite and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. NoCode training with YOLOv4 and YOLOV3 has never been so easy.
YOLOv3 implementation in TensorFlow 2.3.1
Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.
Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow
A Python wrapper on Darknet. Compatible with YOLO V3.
Fresh Onions is an open source TOR spider / hidden service onion crawler hosted at zlal32teyptf4tvi.onion
Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)
OSINT Tool For Scraping Dark Websites
:evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.
SimpleAICV:pytorch training and testing examples.
This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.
opencv 4.5+ with dnn module for php 7/8