https://github.com/akshitagupta15june/computervision

OPENCV
https://github.com/akshitagupta15june/computervision

hacktoberfest opencv

Last synced: 3 days ago
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OPENCV

• Host: GitHub
• URL: https://github.com/akshitagupta15june/computervision
• Owner: akshitagupta15june
• Created: 2020-07-19T16:25:28.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2022-10-06T15:46:10.000Z (about 2 years ago)
• Last Synced: 2024-05-01T16:48:37.310Z (7 months ago)
• Topics: hacktoberfest, opencv
• Language: Python
• Homepage:
• Size: 16 MB
• Stars: 7
• Watchers: 2
• Forks: 10
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# This repository will contain computer vision codes

* face detection

* Body detection

* Live face detection

### Image

![Image of screenshot](https://github.com/singhanshika311/ComputerVision/blob/master/Image/opencv.png)

### About

OpenCV (Open Source Computer Vision Library) is an open source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in the commercial products. Being an Apache 2 licensed product, OpenCV makes it easy for businesses to utilize and modify the code.

The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc. OpenCV has more than 47 thousand people of user community and estimated number of downloads exceeding 18 million. The library is used extensively in companies, research groups and by governmental bodies.

### Contributing

Please read the [contribution guidelines](https://github.com/opencv/opencv/wiki/How_to_contribute) before starting work on a pull request.

#### Summary of the guidelines:

* One pull request per issue;

* Choose the right base branch;

* Include tests and documentation;

* Clean up "oops" commits before submitting;

* Follow the [coding style guide](https://github.com/opencv/opencv/wiki/Coding_Style_Guide).

### Update the repository documentation

In order to keep a clean overview containing all contributed modules, the following files need to be created/adapted:

1. Update the README.md file under the modules folder. Here, you add your model with a single-line description.

2. Add a README.md inside your own module folder. This README explains which functionality (separate functions) is available, links to the corresponding samples, and explains in somewhat more detail what the module is expected to do. If any extra requirements are needed to build the module without problems, add them here also.