401 Open source projects that are alternatives of or similar to go-darknet

php ffi darknet

ODAM - Object detection and Monitoring

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

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

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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

SimpleAICV:pytorch training example on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012 datasets.Include ResNet/DarkNet/RetinaNet/FCOS/CenterNet/TTFNet/YOLOv3/YOLOv4/YOLOv5/YOLOX.

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

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

A NodeJS wrapper of pjreddie's darknet / yolo.

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

A collaborative tool for labeling image data for yolo

Convert JSON annotations into YOLO format.

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.

YOLOv4 object detector using TensorRT engine

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.

person detect based on yolov3 with several Python scripts

YOLO v3 and Tiny YOLO v1, v2, v3 with Tensorflow.js

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.

A Python wrapper on Darknet. Compatible with YOLO V3.

Deep Learning Applications (Darknet - YOLOv3, YOLOv4 | DeOldify - Image Colorization, Video Colorization | Face-Recognition) with Google Colaboratory - on the free Tesla K80/Tesla T4/Tesla P100 GPU - using Keras, Tensorflow and PyTorch.

Pendeteksian rambu lalu lintas khas Indonesia menggunakan dataset custom dan menggunakan algoritma Deep Learning You Only Look Once v4

Annotation tool for YOLO in opencv

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

YOLOv3 implementation in TensorFlow 2.3.1

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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

Deep Learning Applied To Vehicle Registration Plate Detection and Recognition in PyTorch.

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

Localize 2D image object detection in 3D Scene with Yolo in Unity Barracuda and ARFoundation.

YoloV3 Implemented in Tensorflow 2.0

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

YOLO for object detection tasks

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

Self-hosted NVR with object detection

A windows caffe implementation of YOLO detection network

Darknet with NNPACK

This is a repository for an nocode object detection inference API using the Yolov3 and Yolov4 Darknet framework.

No description or website provided.

Run Tiny YOLO-v3 on Google's Edge TPU USB Accelerator.

using yolox+deepsort for object-tracking

Fast MOT base on yolo+deepsort, support yolo3 and yolo4

Address book for computer vision models.

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

Darknet2ncnn converts the darknet model to the ncnn model

reproduce the YOLO series of papers in pytorch, including YOLOv4, PP-YOLO, YOLOv5，YOLOv3, etc.

License plate parsing using Darknet and YOLO

Modular tool that extracts images and labels from multiple datasets and parses them to Darknet format.

A PyTorch implementation of a YOLO v2 Object Detector

基于opencv的4种YOLO目标检测，C++和Python两个版本的实现，仅仅只依赖opencv库就可以运行

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

使用 "Darknet yolov3-tiny" 进行车牌识别

The back-end for the YOLOv3 object detector running as a webapp

Yolo With OpenCvSharp Dnn

Paddle-YOLOv4,supports training, at least 41.1% mAP.支持训练，至少41.1%mAP。少数的给出精度的复现。

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

Push-pull streaming and Web display of YOLO series

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