1045 Open source projects that are alternatives of or similar to Yolov5 Rt Stack

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

php ffi darknet

⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.

MIVisionX toolkit is a set of comprehensive computer vision and machine intelligence libraries, utilities, and applications bundled into a single toolkit. AMD MIVisionX also delivers a highly optimized open-source implementation of the Khronos OpenVX™ and OpenVX™ Extensions.

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

PaddlePaddle to ONNX model converter

This repository provides you with a easy to use labeling tool for State-of-the-art Deep Learning training purposes.

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

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

YOLOv3 implementation in TensorFlow 2.3.1

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

YOLO V2 & V3 , YOLO Combined with RCNN and MaskRCNN

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

Train a state-of-the-art yolov3 object detector from scratch!

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

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2 https://github.com/AlexeyAB/darknet, https://github.com/pjreddie/darknet

Compare FasterRCNN,Yolo,SSD model with the same dataset

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

ncnn is a high-performance neural network inference framework optimized for the mobile platform

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

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.

Exposes a serialized machine learning model through a HTTP API.

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

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

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

TensorRT person tracking RFBNet300

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Serving AI/ML models in the open standard formats PMML and ONNX with both HTTP (REST API) and gRPC endpoints

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

🏎️ Accelerate training and inference of 🤗 Transformers with easy to use hardware optimization tools

Multi Model Server is a tool for serving neural net models for inference

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

MLModelCI is a complete MLOps platform for managing, converting, profiling, and deploying MLaaS (Machine Learning-as-a-Service), bridging the gap between current ML training and serving systems.

Rust wrapper for Microsoft's ONNX Runtime (version 1.8)

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

volksdep is an open-source toolbox for deploying and accelerating PyTorch, ONNX and TensorFlow models with TensorRT.

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

Yolov3 Object Detection implemented as APIs, using TensorFlow and Flask

OpenCV based DNN Object Detection Library for Openframeworks

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

Abnormal behavior detection in the video surveillance based on yolo darknet

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

Tensorflow implementation of YOLO, including training and test phase.

YOLOv2 in PyTorch

An AIMGP (Automatic Induction of Machine code by Genetic Programming) engine

Realtime mobile visualize based Object Detection based on TensorFlow and YOLO model

A Lua implementation with an Eclipse OMR based JIT compiler

Convert ONNX model graph to Keras model format.

BGP Hijack Detection

How to run YOLO on Jetson TX2

Implemented the YOLO algorithm for scene text detection in keras-tensorflow (No object detection API used) The code can be tweaked to train for a different object detection task using YOLO.

Mono open source ECMA CLI, C# and .NET implementation.

This is the code base for our ACM CSCS 2019 paper: "RobustTP: End-to-End Trajectory Prediction for Heterogeneous Road-Agents in Dense Traffic with Noisy Sensor Inputs". This codebase contains implementations for several trajectory prediction methods including Social-GAN and TraPHic.

WIP jit lua to wasm

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

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

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS