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

YOLOv2 in PyTorch

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

License Plate Detection and Recognition in Unconstrained Scenarios

An open source tool to quantify the world

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

YOLO ROS: Real-Time Object Detection for ROS

A caffe implementation of MobileNet-YOLO detection network

Label images and video for Computer Vision applications

🚇暗网中文网监控爬虫(DEEPMIX)[站点已更新,脚本暂无法正常运行,请等待最新推送]

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.

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.

Node bindings for YOLO/Darknet image recognition library

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

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.

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

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

Darknet with NNPACK

Convolutional Neural Networks

OSINT Tool For Scraping Dark Websites

Computer Vision and Image Recognition algorithms for R users

YOLOv3 implementation in TensorFlow 2.3.1

person detect based on yolov3 with several Python scripts