gheorgheciortan

gheorgheciortan

Geek Repo

Company:Romatsa DSNAR Constanta

Location:Constanta

Home Page:https://woyo.go.ro

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gheorgheciortan's repositories

RobustVideoMatting

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

License:GPL-3.0Stargazers:0Issues:0Issues:0

finger-counter

Counts the number of fingers being held up in a live webcam viewing session with mediapipe's hand landmark detection

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Real-time-Vehicle-and-Person-Counter-using-YOLOv4-and-OpenCV

This repository offers a basic implementation of a real-time vehicle and person counter using YOLOv4 and OpenCV. It allows you to detect and count vehicles and people in video frames, although it may not provide precise results. It serves as a starting point for more complex object counting and tracking projects.

License:MITStargazers:0Issues:0Issues:0

Real-Time-Webcam-Object-Detection

This Python script uses OpenCV and SSD MobileNet for real-time object detection from webcam feed. It's an accessible intro to computer vision and machine learning concepts.

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Panorama

Multiple images panorama stitching using opencv & python3

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Object_Tracking_Counter

Object tracking is a deep learning process where the algorithm tracks the movement of an object. In other words, it is the task of estimating or predicting the positions and other relevant information of moving objects in a video. Object tracking usually involves the process of object detection.

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digital-image-processing

A python code of digital image processing video series on my YouTube channel

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Automated-Traffic-Light-System

Automated-Traffic-Light-System

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YOLOv7-Real-Time-Object-Detection

The YOLOv7 is making big waves in the computer vision and also the machine learning communities.This new YOLOv7 algorithm has a very fast CNN (convolutional Neural Network) surpasses all previous object detection models and YOLO versions in both speed,FPS and Acuraccy.This neural network are trained much faster on small datasets without any pretrai

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Object_tracking

This is a personal project to make a car counting algorithm

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udp-video-streaming

Stream video from one computer to another using OpenCV and UDP sockets in Python.

License:MITStargazers:0Issues:0Issues:0

Python-Audio-Programs

Sound programs in Python created with PyAudio

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vehicle-detection-program

OK_This is a project done for a class(Digital Investigation). It uses the python language to detect, track and count the vehicles in the camera's view by using TensorFlow Object Detection API

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rtmp-to-webrtc

rtmp to webrtc

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WebRTC-1

WebRTC - using for Video conference

License:MITStargazers:0Issues:0Issues:0

PyEng

Python for engineers

License:MITStargazers:0Issues:0Issues:0
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MulticastStreamUDPServerClient

Multicast UDP server/client in python for video/webcam stream

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image-stitching

A python package to stitch multiple images either horizontally or vertically

License:BSD-3-ClauseStargazers:0Issues:0Issues:0

reconnecting-websocket

A small decorator for the JavaScript WebSocket API that automatically reconnects

License:MITStargazers:0Issues:0Issues:0

Automatic-Panoramic-Image-Stitching

Automatic Panoramic Image Stitching using SIFT detector and descriptor, RANSAC algorithm for best-fit homograpy, linear blending

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MobilNet_SSD_opencv

MobilNet-SSD object detection in opencv 3.4.1

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WebSockets

WebSocket - multiple video streams

License:MITStargazers:0Issues:0Issues:0

flashphoner_client

Client for Flashphoner-server

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Node-Media-Server

A Node.js implementation of RTMP/HTTP-FLV/WS-FLV/HLS/DASH/MP4 Media Server

License:MITStargazers:0Issues:0Issues:0

WebRTC-scalable-broadcast-p2p

WebRTC based scalable p2p broadcast by relaying video stream from one peer to other. No CPU/Bandwidth issues. Google slides in Readme explain the algorithm. Master's Stream is forwarded/relayed to every client.

License:Apache-2.0Stargazers:0Issues:0Issues:0

webcam-capture

The goal of this project is to allow integrated or USB-connected webcams to be accessed directly from Java. Using provided libraries users are able to read camera images and detect motion. Main project consist of several sub projects - the root one, which contains required classes, build-in webcam driver compatible with Windows, Linux and Mac OS, which can stream images as fast as your camera can serve them (up to 50 FPS). Main project can be used standalone, but user is able to replace build-in driver with different one - such as OpenIMAJ, GStreamer, V4L4j, JMF, LTI-CIVIL, FMJ, etc.

License:MITStargazers:0Issues:0Issues:0

jsmpeg

MPEG1 Video Decoder in JavaScript

License:MITStargazers:0Issues:0Issues:0