https://github.com/pratishtha-abrol/chroma_keying

https://github.com/pratishtha-abrol/chroma_keying

Last synced: about 1 month ago
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• Host: GitHub
• URL: https://github.com/pratishtha-abrol/chroma_keying
• Owner: pratishtha-abrol
• Created: 2022-01-15T08:38:27.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-01-17T08:08:07.000Z (almost 3 years ago)
• Last Synced: 2024-10-24T20:07:21.524Z (3 months ago)
• Language: Jupyter Notebook
• Size: 19.9 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

        
# Chroma Keying using OpenCV

## Videos to Images and vice-versa

`cv2.VideoCapture` is a class for video capturing from video files, image sequences or cameras. We set the frame rate to be 0.5 seconds, which would capture the frame every 0.5 secods. That is, 2 frames per second. The program saves the images as `image[num].jpg` in an images folder.

For combining images into a video we add path variables to the image folder and set the images in a list. We sort this list in order so that we have the image sequence right. Using a frame-rate, here, 0.5, we can output a video in `.avi` format. 

## Capturing images from a webcam

Using the `cv2.VideoCapture` class, we can access the webcam. We keep the video displayed constantly, hitting the `SPACE` key clicks a picture which is saved in the images folder, as `opencv_frame_[num].jpg`. Hitting the `ESC` key quits the window.

## Chroma Keying Videos

Having a green screen video and another which would act as a background, we use openCV to mask the green screen. This was challenging as the window quit with an error, but still gave the desired output.