darknet

Visualizer for neural network, deep learning, and machine learning models

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

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

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.

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

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

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

License Plate Detection and Recognition in Unconstrained Scenarios

YOLOv2 in PyTorch

An open source tool to quantify the world

YOLO ROS: Real-Time Object Detection for ROS

YOLO9000: Better, Faster, Stronger - Real-Time Object Detection. 9000 classes!

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

A caffe implementation of MobileNet-YOLO detection network

TensorRT8.Support Yolov5s,m,l,x .darknet -> tensorrt. Yolov4 Yolov3 use raw darknet *.weights and *.cfg fils. If the wrapper is useful to you,please Star it.

🚇暗网中文网监控爬虫(DEEPMIX)

Label images and video for Computer Vision applications

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.

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

A Python wrapper on Darknet. Compatible with YOLO V3.

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

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

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

YOLOv3 implementation in TensorFlow 2.3.1

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

Node bindings for YOLO/Darknet image recognition library

Tutorial for computer vision and machine learning in PHP 7/8 by opencv (installation + examples + documentation)

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Modeled Google and Bing to build a distributed search engine for the dark web

Self-hosted NVR with object detection