Displaying 1 to 20 from 23 results

darkflow - Translate darknet to tensorflow

  •    Python

Real-time object detection and classification. Paper: version 1, version 2. Read more about YOLO (in darknet) and download weight files here. In case the weight file cannot be found, I uploaded some of mine here, which include yolo-full and yolo-tiny of v1.0, tiny-yolo-v1.1 of v1.1 and yolo, tiny-yolo-voc of v2.

darknet_ros - YOLO ROS: Real-Time Object Detection for ROS

  •    C++

This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. For more information about YOLO, Darknet, available training data and training YOLO see the following link: YOLO: Real-Time Object Detection. The YOLO packages have been tested under ROS Noetic and Ubuntu 20.04. Note: We also provide branches that work under ROS Melodic, ROS Foxy and ROS2.

opendatacam - An open source tool to quantify the world

  •    Javascript

OpenDataCam is an open source tool to quantify the world. It quantifies and tracks moving objects with live video analysis. It is designed to be an accessible, affordable and open-source solution to better understand interactions in urban environments. OpenDataCam never records any photo or video data. The system only saves surveyed meta-data, in particular the path an object moved or number of counted objects at a certain point. The novelty of OpenDataCam is, that everything happens on location, while no visual data is saved or sent to online cloud processing.

pytorch-yolo2 - Convert https://pjreddie.com/darknet/yolo/ into pytorch

  •    Python

Convert https://pjreddie.com/darknet/yolo/ into pytorch. This repository is trying to achieve the following goals. We get the results by using Focal Loss to replace CrossEntropyLoss in RegionLosss.




BMW-YOLOv4-Training-Automation - 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

  •    Python

This repository, based on AlexeyAB's darknet repro, 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 and you can start the training right away and monitor it in many different ways like TensorBoard or a custom REST API and GUI. Training with YOLOv4 has never been so easy. This repository has also cross compatibility with Yolov3 training.

pytorch-caffe-darknet-convert - convert between pytorch, caffe prototxt/weights and darknet cfg/weights

  •    Python

This repository is specially designed for pytorch-yolo2 to convert pytorch trained model to any platform. It can also be used as a common model converter between pytorch, caffe and darknet. MIT License (see LICENSE file).

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

  •    Python

This code will evaluate the performance of your neural net for object recognition. In practice, a higher mAP value indicates a better performance of your neural net, given your ground-truth and set of classes.


OpenLabeling - Open Source labeling tool to generate the training data in the format YOLO requires.

  •    Python

Bounding box labeler tool to generate the training data in the format YOLO v2 requires. The idea is to use OpenCV so that later it uses SIFT and Tracking algorithms to make labeling easier.

relaychum - friend-to-friend anonymous darknet

  •    Javascript

Create a new relay with opts.id.Return a new stream for replicating with your peers.

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

  •    Python

This is a copy of the source for the http://zlal32teyptf4tvi.onion hidden service, which implements a tor hidden service crawler / spider and web site. This software is made available under the GNU Affero GPL 3 License.. What this means is that is you deploy this software as part of networked software that is available to the public, you must make the source code available (and any modifications).

awesome-i2p - A curated list of awesome I2P implementations, libraries, resources, projects, and shiny things

  •    

A curated list of awesome I2P implementations, libraries, resources, projects, and shiny things. Inspired by awesome-tor and awesome-cpp and other awesome lists. I2P is an anonymous overlay network - a network within a network. It is intended to protect communication from dragnet surveillance and monitoring by third parties such as ISPs. I2P is used by many people who care about their privacy: activists, oppressed people, journalists and whistleblowers, as well as the average person.

darknet2caffe - Convert Darknet model to Caffe's

  •    Python

This model convertor ported from original supports conversion from darkent to caffe, especially for YOLOv2 and tiny-YOLO etc. First, ensure caffe installed (converison progress'll use Python interface of caffe), recommanding using Docker image of bvlc/caffe:cpu instead.

image - Computer Vision and Image Recognition algorithms for R users

  •    C

This repository contains a suite of R packages which perform image algorithms currently not available in other R packages like magick, imager or EBImage. More packages and extensions are under development.

DOGE - Darknet Osint Graph Explorer

  •    CSS

Still in dev, works right. Query prototype: SELECT DISTINCT custom_column_name AS input, another_custom_name AS output FROM some_table, obviously you can add other options as WHERE, ORDER BY, etc.

DOT - Darknet OSINT Transform

  •    Python

This is the repo of DOT Maltego Transform. Finally the right name. It fetches: open ports, banners, emails, btc addresses, linked onions domains and other (soon).

Pine - :evergreen_tree: Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia

  •    Python

Pine is an aimbot powered by real-time object detection with neural networks. This software can be tweaked to work smoothly in CS:GO, Fortnite, and Overwatch. Pine also has built-in support for Nvidia's CUDA toolkit and is optimized to achieve extremely high object-detection FPS. It is GPU accelerated and blazingly fast.

DetectionMetrics - Tool to evaluate deep-learning detection and segmentation models, and to create datasets

  •    C++

Detection Metrics is a set of tools to evaluate object detection neural networks models over the common object detection datasets. The tools can be accessed using the GUI or the command line applications. In the picture below, the general architecture is displayed. To quickly get started with Detection Metrics, we provide a docker image.

go-darknet - Go bindings for Darknet (YOLO v4 / v3)

  •    Go

Because this repository https://github.com/gyonluks/go-darknet is no longer maintained. Well, you don't need bunch of OpenCV dependencies and OpenCV itself sometimes.






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