622 Open source projects that are alternatives of or similar to Yolo2 Pytorch

php ffi darknet

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

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

State of the art object detection in real-time using YOLOV3 algorithm. Augmented with a process that allows easy training of the classifier as a plug & play solution . Provides alert if an item in an alert list is detected.

YOLOv3 implementation in TensorFlow 2.3.1

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

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

YOLOv2 algorithm reimplementation with pytorch

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

Multiple Object Tracking System in Keras + (Detection Network - YOLO)

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

🌲 Aimbot powered by real-time object detection with neural networks, GPU accelerated with Nvidia. Optimized for use with CS:GO.

Convolutional Neural Networks

Visualize YOLO feature map in prediction for easily checking your model performance

PyTorch implementations of recent Computer Vision tricks

A NodeJS wrapper of pjreddie's darknet / yolo.

DroNet: Efficient convolutional neural network detector for Real-Time UAV applications

Convert JSON annotations into YOLO format.

Etiketai is an online tool designed to label images, useful for training AI models

Go bindings for Darknet (YOLO v4 / v3)

ODAM - Object detection and Monitoring

Robotics Operating System Package for Yolo v3 based on darknet with optimized tracking using Kalman Filter and Optical Flow.

YOLO ROS: Real-Time Object Detection for ROS

ffcnn is a cnn neural network inference framework, written in 600 lines C language.

combine state of art deep neural network based detectors with most efficient trackers to solve motion based multiple objects tracking problems

To detect any reasonable change in a live cctv to avoid large storage of data. Once, we notice a change, our goal would be track that object or person causing it. We would be using Computer vision concepts. Our major focus will be on Deep Learning and will try to add as many features in the process.

Yolo (Real time object detection) model training tutorial with deep learning neural networks

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

Abnormal behavior detection in the video surveillance based on yolo darknet

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

pnn is Darknet compatible neural nets inference engine implemented in Rust.

Implementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection

OpenCV based DNN Object Detection Library for Openframeworks

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

A real-time object detection app based on lightDenseYOLO Our lightDenseYOLO is the combination of two components: lightDenseNet as the CNN feature extractor and YOLO v2 as the detection module

Inspired from Mask R-CNN to build a multi-task learning, two-branch architecture: one branch based on YOLOv2 for object detection, the other branch for instance segmentation. Simply tested on Rice and Shapes. MobileNet supported.

Node bindings for YOLO/Darknet image recognition library

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Making custom object detector using Yolo (Java and Python)

Conversion of yolo from DarkNet to Caffe

Marking up images for use with Darknet.

License plate parsing using Darknet and YOLO

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

C# Yolo Darknet Wrapper (real-time object detection)

In-Browser Object Detection using Tiny YOLO on Tensorflow.js

🍅 Deploy NCNN on mobile phones. Support Android and iOS. 移动端NCNN部署，支持Android与iOS。

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.

A Python wrapper on Darknet. Compatible with YOLO V3.

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

Real-time object detection on Android using the YOLO network with TensorFlow

C++ wrapper library for Darknet

Annotation tool for YOLO in opencv

Tensorflow implementation of YOLO, including training and test phase.

A caffe implementation of MobileNet-YOLO detection network

An open source tool to quantify the world

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

Darknet with NNPACK

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

mxnet implementation of yolo and darknet2mxnet converter

Label images and video for Computer Vision applications