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Develop comprehensive unit tests to validate the functionality and robustness of both the MOG2 and KNN background subtraction implementations.
Implementation Steps:
Set up a testing framework in the Rust project using cargo test.
Write unit tests to verify that the MOG2 background subtractor correctly identifies moving objects and generates accurate foreground masks.
Write unit tests to verify the KNN background subtractor's performance under various conditions (e.g., different lighting, motion speeds).
Create test cases that simulate common scenarios, such as sudden changes in lighting or the introduction of new static objects, to ensure the algorithms handle these cases gracefully.
Run all tests to validate the background subtraction functionality, ensuring that both MOG2 and KNN produce consistent and reliable results.
The text was updated successfully, but these errors were encountered:
Description:
Implementation Steps:
The text was updated successfully, but these errors were encountered: