REVERSE GREEN SCREENING USING OPENCV

  1. Firstly,it captures and store the background frame.
  2. Detects the defined color using color segmentation algorithm.
  3. It segment out the defined colored part by generating a mask.
  4. Finally, the generated augmented output to create a effect.

Lets look at the LIBRARIES.

  1. CV: It is an open source computer vision and machine learning software library, in this project the objects (foreground frames) gets detected by using this library.
  2. TIME: It is used to calculate the time required for the system to detect and keep an eye on each and every second in the program to generate an output.
  3. NUMPY: This Numerical Python is used to work with arrays.
  • YELLOW: 61 to 120 degrees,
  • GREEN : 121 to 180 degrees,
  • CYAN : 181 to 240 degrees,
  • BLUE: 241 to 300 degrees,
  • MAGENTA: 301 to 360 degrees.

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