You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Hardware accelerated OpenCV, Torch & Tensorrt Ubuntu 20.04 docker images for Jetson Nano containing any python version you need up until the latest 3.12 with ultralytics yolov10 tensorrt support
This repository contains the content for a proof of concept implementation of computer vision systems in industry. The project explores scalability and performance using the NVIDIA ecosystem, aiming to create an example scaffold for implementing a system accessible to non-technical users.
Embark on a thrilling journey with the AutoRCX, empowered by the latest cutting-edge technology to conquer distances, race, and accomplish so much more. Get ready to drive into a world of endless excitement!
This repository contains a comprehensive implementation for detecting and recognizing license plates in images using computer vision techniques. The project leverages OpenCV for image processing and EasyOCR for optical character recognition (OCR). Below is a detailed description of the repository's contents and its functionality.
This project is a real-time face recognition system built using OpenCV and the `face_recognition` library. It detects and identifies known faces from a video feed, and automatically saves images of unknown faces to a designated directory every 3 seconds.