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classical-cv

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Computer vision framework for multi-temporal Amazon deforestation detection using satellite imagery. Analyzes forest loss patterns, detects acceleration trends, and identifies critical periods. Features 3 detection algorithms, comprehensive testing, and validation with 20 years of real Amazon data.

  • Updated Jan 20, 2026
  • Jupyter Notebook

A research-grade masterclass rebuilding the entire Computer Vision stack from first principles. No OpenCV, no PyTorch—just pure math and NumPy. Implements custom convolutions, Canny edge detection, eigenvalue-based Harris corners, Lucas–Kanade optical flow, and a CNN layer with full backward passes from scratch.

  • Updated May 27, 2026
  • Jupyter Notebook

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