275 Open source projects that are alternatives of or similar to Scaled-YOLOv4-TensorRT

Scaled-YOLOv4: Scaling Cross Stage Partial Network

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

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

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

PyTorch ,ONNX and TensorRT implementation of YOLOv4

This repository deploys YOLOv4 as an optimized TensorRT engine to Triton Inference Server

YOLO v3, v4, v5, v6, v7 + SORT tracking + ROS platform. Supporting: YOLO with Darknet, OpenCV(DNN), OpenVINO, TensorRT(tkDNN). SORT supports python(original) and C++. (Not Deep SORT)

车牌识别，基于HyperLPR实现，修改模型调用方法，使用caffe+tensorRT实现GPU加速，修改了车牌检测模型

YOLOv4 object detector using TensorRT engine

한글로 작성된 TX2 JetPack 설치 가이드입니다.

Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

A neural network for CounterStrike:GlobalOffensive character detection and classification. Built on a custom-made dataset (csgo-data-collector)

YOLO Object Detection in Julia

openpose, yolov3 with tiny-tensorrt

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

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

Autonomous driving - car detection using the very powerful YOLO model

PyTorch implementation of YOLO-v1 including training

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

A forked AlexeyAB Darknet repo with extra convenient functions.

Aiding the visually impaired through real time augmented reality, AI object detection, WebGL shaders effects such as edge detection, and colour adjustments.

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

Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

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。

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

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

Yolov1 pytorch implement

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

Use PyTorch model in C++ project

The purpose of this project is to apply mediapipe to more AI chips.

How to install VScode on Nvidia TX2

Object Detection API Tensorflow

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

KAPAO is an efficient single-stage human pose estimation model that detects keypoints and poses as objects and fuses the detections to predict human poses.

Keras implementation of YOLO

针对pytorch模型的自动化模型结构分析和修改工具集，包含自动分析模型结构的模型压缩算法库

Tensorflow to TensorRT Model Converter

Abnormal behavior detection in the video surveillance based on yolo darknet

A NodeJS wrapper of pjreddie's darknet / yolo.

This is a code repository for pytorch c++ (or libtorch) tutorial.

🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 930+kb (int8) and 1.7M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~

PyTorch Project Specification.

Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation. Intel iHD GPU (iGPU) support. NVIDIA GPU (dGPU) support.

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Example of loading a Keras model into TensorRT C++ API

A collaborative tool for labeling image data for yolo

This project generates images you've probably seen in autonomous driving demo. Object Detection, Lane Detection, Road Segmentation, Depth Estimation using TensorRT

Object detection for video surveillance

Computer Vision application in the web

💥Make your yolov5 dataset by using labelimg.I hope my work can help you make your yolov5 datasets more quickly.

Mainly use SSD, YOLO and other models to solve the target detection problem in image and video !

A simple way to use cookies in Reason (OCaml) on the frontend. 🍪

🐛 🐛 Opencv视频流传输到网页浏览器并做目标检测 🐛 🐛

php ffi darknet

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

A flexible Python front-end inference SDK based on TensorRT

TensorRT int8 量化部署 yolov5s 模型，实测3.3ms一帧！

Vehicle Detection Using Deep Learning and YOLO Algorithm

基于深度学习的视频人脸检测