Creating a virtual tv using opencv in python3.

Overview

Virtual-TV

Creating a virtual tv using opencv in python3.

In order to run the code follow the below given steps:

  1. Make sure the desired videos which are given as input are changed in the source code. (in the variables cap (video which has the frame) and val (video which should be played in the frame)).

  2. Now run the code, now you will be presented with a frame (note : not the tv frame) from the first video (cap), now define the four corners (physical corners are easily tracked) of the frame in the clockwise manner.

  3. Once the four corners of the frame is selected using the left click of the mouse, press right click.

  4. Now you should be able to see the output video playing on the screen.

Example :

INPUT :

Video1 (containing the frame):

Video2 (video that should be played on the frame defined on Video1):

User Marked corners :

User will be asked to mark the corners in the video1 once the code is executed

Image after the user has defined the corners in the first frame of video1:

OUTPUT :

Once the frame is defined in the video1, we can see that the video2 starts playing in the frame defined by the user in video1

Owner
Vamsi
Vamsi
Code for the paper "Controllable Video Captioning with an Exemplar Sentence"

SMCG Code for the paper "Controllable Video Captioning with an Exemplar Sentence" Introduction We investigate a novel and challenging task, namely con

10 Dec 04, 2022
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.

SynthText Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Ved

Ankush Gupta 1.8k Dec 28, 2022
POT : Python Optimal Transport

This open source Python library provide several solvers for optimization problems related to Optimal Transport for signal, image processing and machine learning.

Python Optimal Transport 1.7k Jan 04, 2023
TableBank: A Benchmark Dataset for Table Detection and Recognition

TableBank TableBank is a new image-based table detection and recognition dataset built with novel weak supervision from Word and Latex documents on th

844 Jan 04, 2023
pulse2percept: A Python-based simulation framework for bionic vision

pulse2percept: A Python-based simulation framework for bionic vision Retinal degenerative diseases such as retinitis pigmentosa and macular degenerati

67 Dec 29, 2022
textspotter - An End-to-End TextSpotter with Explicit Alignment and Attention

An End-to-End TextSpotter with Explicit Alignment and Attention This is initially described in our CVPR 2018 paper. Getting Started Installation Clone

Tong He 323 Nov 10, 2022
When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework (CVPR 2021 oral)

MTLFace This repository contains the PyTorch implementation and the dataset of the paper: When Age-Invariant Face Recognition Meets Face Age Synthesis

Hzzone 120 Jan 05, 2023
Use Convolutional Recurrent Neural Network to recognize the Handwritten line text image without pre segmentation into words or characters. Use CTC loss Function to train.

Handwritten Line Text Recognition using Deep Learning with Tensorflow Description Use Convolutional Recurrent Neural Network to recognize the Handwrit

sushant097 224 Jan 07, 2023
Python Computer Vision from Scratch

This repository explores the variety of techniques commonly used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both f

Milaan Parmar / Милан пармар / _米兰 帕尔马 221 Dec 26, 2022
A list of hyperspectral image super-solution resources collected by Junjun Jiang

A list of hyperspectral image super-resolution resources collected by Junjun Jiang. If you find that important resources are not included, please feel free to contact me.

Junjun Jiang 301 Jan 05, 2023
The papers published in top-tier AI conferences in recent years.

AI-conference-papers The papers published in top-tier AI conferences in recent years. Paper table AAAI ICLR CVPR ICML ICCV ECCV NIPS 2019 ✔️ ✔️ ✔️ ✔️

Jinbae Park 6 Dec 09, 2022
Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

gosseract OCR Golang OCR package, by using Tesseract C++ library. OCR Server Do you just want OCR server, or see the working example of this package?

Hiromu OCHIAI 1.9k Dec 28, 2022
Ocular is a state-of-the-art historical OCR system.

Ocular Ocular is a state-of-the-art historical OCR system. Its primary features are: Unsupervised learning of unknown fonts: requires only document im

228 Dec 30, 2022
color detection using python

colordetection color detection using python In this color detection Python project, we are going to build an application through which you can automat

Ruchith Kumar 1 Nov 04, 2021
Binarize document images

Binarization Binarization for document images Examples Introduction This tool performs document image binarization (i.e. transform colour/grayscale to

QURATOR-SPK 48 Jan 02, 2023
This is a passport scanning web service to help you scan, identify and validate your passport created with a simple and flexible design and ready to be integrated right into your system!

Passport-Recogniton-System This is a passport scanning web service to help you scan, identify and validate your passport created with a simple and fle

Mo'men Ashraf Muhamed 7 Jan 04, 2023
scene-linear test images

Scene-Referred Image Collection A collection of OpenEXR Scene-Referred images, encoded as max 2048px width, DWAA 80 compression. All exrs are encoded

Gralk Klorggson 7 Aug 25, 2022
Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Genalog is an open source, cross-platform python package allowing generation of synthetic document images with custom degradations and text alignment capabilities.

Microsoft 235 Dec 22, 2022
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

RepMLP RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition Released the code of RepMLP together with an example o

260 Jan 03, 2023
QED-C: The Quantum Economic Development Consortium provides these computer programs and software for use in the fields of quantum science and engineering.

Application-Oriented Performance Benchmarks for Quantum Computing This repository contains a collection of prototypical application- or algorithm-cent

SRI International 67 Nov 30, 2022