Darknet Open Source Projects

Convolutional Neural Networks

ncnn is a high-performance neural network inference framework optimized for the mobile platform

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Minimal PyTorch implementation of YOLOv3

A Keras implementation of YOLOv3 (Tensorflow backend)

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

yolo3+ocr

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

PyTorch ,ONNX and TensorRT implementation of YOLOv4

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.

Sandbox for training deep learning networks

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

Links to darknet markets, vendor stores and darknet services on the Tor Network. All links verified by us.

YAD2K: Yet Another Darknet 2 Keras

YoloV3 Implemented in Tensorflow 2.0

Joint Detection and Embedding for fast multi-object tracking

YOLO ROS: Real-Time Object Detection for ROS

这是一个YoloV4-pytorch的源码，可以用于训练自己的模型。

:zap: Based on yolo's ultra-lightweight universal target detection algorithm, the calculation amount is only 250mflops, the ncnn model size is only 666kb, the Raspberry Pi 3b can run up to 15fps+, and the mobile terminal can run up to 178fps+

NVIDIA DeepStream SDK 8.0 / 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

implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

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

tensorflow implementation of 'YOLO : Real-Time Object Detection'

Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

YOLOv2 in PyTorch

Complete YOLO v3 TensorFlow implementation. Support training on your own dataset.

fire-smoke-detect-yolov4-yolov5 and fire-smoke-detection-dataset 火灾检测，烟雾检测

Convert COCO JSON to YOLO format

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!

darknet text detect and darknet cnn ocr

🚇暗网中文网监控爬虫(DEEPMIX)

mmdetection最小学习版

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

Label images and video for Computer Vision applications

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

Bunny is a wireless. meshing, darknet that uses 802.11 to hide its communications

Cross Stage Partial Networks

🔍:shipit: Verified darknet market links on the Tor Network 🔍

A caffe implementation of MobileNet-YOLO detection network

Darknet/YOLO object detection framework

🔥 (yolov3 yolov4 yolov5 unet ...)A mini pytorch inference framework which inspired from darknet.

Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

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.

Full implementation of YOLOv3 in PyTorch

end-to-end YOLOv4/v3/v2 object detection pipeline, implemented on tf.keras with different technologies

YOLOv3 implementation in TensorFlow 2.3.1

Repository for Single Shot MultiBox Detector and its variants, implemented with pytorch, python3.

I transfer the backend of yolov3 into Mobilenetv1，VGG16，ResNet101 and ResNeXt101

Fresh Onions is an open source TOR spider / hidden service onion crawler hosted at zlal32teyptf4tvi.onion

Convert PyTorch model to Caffemodel

A verified list of darknet markets and services with links for educational reference.

Real-time people Multitracker using YOLO v2 and deep_sort with tensorflow

OSINT Tool For Scraping Dark Websites

YOLO (Real-Time Object Detection) in caffe

A Python wrapper on Darknet. Compatible with YOLO V3.