Yolov5 Libraries

7 Components & Libraries

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Yolov5 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…

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…

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…

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.

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

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

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…

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