Yolo Libraries

24 Components & Libraries

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Yolo Libraries

A fast, easy-to-use, production-ready inference server for computer vision supporting deployment of many popular model architectures and fine-tuned models.

You can run Inference on an edge device like an NVIDIA Jetson, or on cloud computing platforms like AWS, GCP, and Azure. Currently, the stream interface only supports object detection Check out Infer…

An open-source computer vision framework to build and deploy apps in minutes

Pipeless is inspired by modern serverless technologies. You provide some functions and Pipeless takes care of executing them for new video frames and everything involved. With Pipeless you create se…

YOLOv8-Object-Detection-Tracking-Image-Segmentation-Pose-Estimation

YOLOv8 object detection, tracking, image segmentation and pose estimation app using Ultralytics API (for detection, segmentation and pose estimation), as well as DeepSORT (for tracking) in Python. This app uses an UI made with streamlit and it can be deployed with Docker.

The app can be deployed using Docker Compose using the following command: If you want to deploy the app using the official container from Docker Hub, use the following commands:

Robust and Straight-Forward solution for reading difficult and tricky QR codes within images in Python. Powered by YOLOv8

The output of the previous code is:

In this project we utilize OpenCV t in order to identify the license number plates and the python pytesseract for the characters and digits extraction from the plate. As well this project will presents a robust and efficient ALPR system based on the state-of-the-art YOLO object detector. We build Web App with a Python program that automatically recognizes the License Number Plate by the end of this journi. The results have shown that the trained neural network is able to perform with high accuracy of nearly 90-95 percent in recognizing license plates in low resolution images using this system.

In Today’s Day and Age Security has become one of the biggest concerns for any organization, and automation of such security is essential. However, many of the current solutions are still not robust …

yolov5, yolov8, segmenations, face, pose, keypoints on deepstream

Clone the repository recursively: follow the instructions as shown in the repos..

Python Computer Vision & Video Analytics Framework With Batteries Included

⭐ Star us on GitHub — it motivates us a lot and helps the project become more visible to developers. Savant is an open-source, high-level framework for building real-time, streaming, highly efficient…

Python library for computer vision labeling tasks. The core functionality is to translate bounding box annotations between different formats-for example, from coco to yolo.

PyLabel is a Python package to help you prepare image datasets for computer vision models including PyTorch and YOLOv5. It can translate bounding box annotations between different formats. (For exa…

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model in ONNX.

Python scripts for performing 3D human pose estimation using the Mobile Human Pose model.

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.

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 co…

Open-source Monocular Python HawkEye for Tennis

Yu-Chuan Huang, "TrackNet: Tennis Ball Tracking from Broadcast Video by Deep Learning Networks," Master Thesis, advised by Tsì-Uí İk and Guan-Hua Huang, National Chiao Tung University, Taiwan, Apri…

QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.

Announcement video When I started to get into more advanced Machine Learning, I started to see how these famous neural network architectures(such as EfficientNet), were doing amazing things. However,…

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning

My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

Datasets drive vision progress, yet existing driving datasets are limited in terms of visual content, scene variation, the richness of annotations, and the geographic distribution and supported tasks…

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

This is the Official Repository of Xtreme-Vision. Xtreme-Vision is a High Level Python Library which is built with simplicity in mind for Computer Vision Tasks, such as Object-Detection, Human-Pose-E…

Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.

The following steps work on Google Colab. There are some example cases: The deployment part works based on NCNN and WASM.

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

A framework and CLI tool to build, transform, and analyze datasets. Dataset reading, writing, conversion in any direction. Dataset building Dataset quality checking Dataset comparison Dataset statist…

Multi-camera live traffic and object counting with YOLO v4, Deep SORT, and Flask.

This repository contains my object detection and tracking projects. All of these can be hosted on a cloud server. This project is an extension of the object counting app. This project was originally …

Computer Vision application in the web

then run with This is an open source project, so you can contribute to this project by creating an issue than a pull request.

An AI based helmet detection , which can detect the helmets from the images with 99% accuracy . It is implemented using Opencv, Python, YOLOV3 .

Helmet detection, which can detect the helmets from the images and the video with around 99% accuracy. Implemented using Opencv, Python, YOLOV3. Create a folder named - Output And run this command - …

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

This repository aims to provide convenient, easy deployable and scalable REST API for InsightFace face detection and recognition pipeline using FastAPI for serving and NVIDIA TensorRT for optimized i…

Aim assist for CSGO with python and yolo

If you want to use a gpu, you should stick to the pytorch version(model is not accurate right now) and change "device" field in .ini file to gpu. If you want to use cpu, please compare which one is f…

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

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 Nvidi…

Exploratory Video Analytics System

EVA comes with a wide range of commonly used computer vision models. It written in Python, and it is licensed under the Apache license.

MobileNet-SSD(MobileNetSSD) + Neural Compute Stick(NCS) Faster than YoloV2 + Explosion speed by RaspberryPi · Multiple moving object detection with high accuracy.

MobileNet-SSD + Neural Compute Stick + RaspberryPi3 / MultiStick(3 Stick / Hard Motion) ・RaspberryPi 3 + Raspbian Stretch ・Intel Movidius Neural Compute Stick　1 piece ・OpenCV 3.4.2 ・OpenGL ・numpy ・(U…

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retrieval-augmented-generation