VideoTo360Panorama

OpenCV python based software to turn video clips into a single 360 panoroma image
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Table of Contents

1. About The Project
   • Built With
2. Getting Started
   • Prerequisites
   • Installation
3. Usage
4. Roadmap
5. Contributing
6. License
7. Contact
8. Acknowledgements

About The Project

Convert multiple Videos Shot into single 360 panoramic Image using openCV image stitching.

Built With

• Python 3.9.5
• OpenCv 4.5.2
• Tkinter

Getting Started

To get a local copy up and running follow these simple steps.

Prerequisites

This is list of python packages you need to use the software and how to install them.

• pip

   pip install opencv-contrib-python
   pip install pillow
   pip install matplotlib
   pip install imutils

Installation

1. Clone the repo

   git clone https://github.com/AmolDerickSoans/VideoTo360Panorama.git

2. Install pip packages mentioned above
3. Run

   python OpenCV360v1.00.py 

4. TroubleShooting : 1. make sure output/vid1 output/vid2 output/vid3 directories are made. 2. to delete the blurred images python requires file permissions set up properly

Usage

1. Select 3 short video files
2. Set the number of frames you want to skip
3. Click on "next"
4. You can view the console for which frames are being picked and which ones are deleted for being blurred
5. output is stored in output directory

For more examples, please refer to the Documentation

• Frame Extraction from video input
• Blur Detection and deletion of blurred frames
• Preview Extracted Frames
• Multi-threading to optimise speed
• Panorama Stitching using SIFT
• Panorama Viewer

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Your Name - @twitter_handle - email

Project Link: https://github.com/github_username/repo_name

Acknowledgements

• Richi Susil Jacob