Popular GitHub Repositories for Cv2

Deep Q-learning for playing tetris game

Face-recognition using Siamese network

lock mechanism with face recognition and liveness detection

A computer vision system made with the help of opencv that can automatically detect driver drowsiness in a real-time video stream and then play an alarm if the driver appears to be drowsy.

Cutting-edge Python software utilizing neural networks and machine learning for precise hand movement tracking

Integration of YOLOv5 Model and Lane Detection

Reinforcement Learning for Elden Ring on Windows11

End-to-end Face Recognition Video Attendance! - OpenCV face extraction, detection & recognition, PyQt4 GUI and SQLite reports

my legacy in machine learning including important summaries that I have made (or found) along with additional cheatsheets and books

? SmartSRT is a command-line tool for generating accurate subtitles with per-word timestamps. It uses WhisperAI for speech transcription, NVIDIA NeMo for diarization, and OpenCV for face recognition. The program is good at creating high accuracy subtitles. ??⚙️

Triton backend that enables pre-processing, post-processing and other logic to be implemented in Python. In the repository, I use tech stack including YOLOv8, ONNX, EasyOCR, Triton Inference Server, CV2, Minio, Docker, and K8S. All of which we deploy on k80 and use CUDA 11.4

LiDAR and Raspberry-Pi based object detection system for visually impaired people

ECG Image Classification/Inference.

Adversarial Network Attacks (PGD, pixel, FGSM) Noise on MNIST Images Dataset using Python (Pytorch)

All you need to know about Computer Vision.

A program which can be implemented in online classes, to detect when a student is raising their hand.

Sistema de Reconhecimento Facial em Python com Captura e identificação atravez da webcam.

This project is a web application built with Flask that predicts fitness performance based on user webcam. It uses a trained machine learning model to estimate results for exercises like jumping jacks, push-ups, planks, and more.

This tool helps people upload X-rays to find broken bones. It uses a machine to mark where the breaks are and gives users marked pictures to download. A smart computer also helps people understand their broken bones and gives them advice.

Project to find the facial keypoints on an image with a CNN using Pytorch.