Extract individual assets from images as transparent PNGs. Zero ML models, pure classical CV. This is used in pdf2ppt online tool pxGenius.ai
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Updated
Mar 23, 2026 - Python
Extract individual assets from images as transparent PNGs. Zero ML models, pure classical CV. This is used in pdf2ppt online tool pxGenius.ai
Reproducible classical computer-vision pipeline for low-light image enhancement with CLI execution and clean per-run evaluation.
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.
Classical (non-ML) facial landmark detection in C++ using OpenCV. Detects eyes and mouth on face images using four approaches, evaluated on the MTFL dataset with Normalized Mean Error (NME).
Classical computer vision approach to lane detection using Canny edge detection and Hough transform
Interactive image editing toolkit built with Python and OpenCV, showcasing core classical computer vision operations using real-time trackbars.
Classical machine vision system for automated geometric inspection of gear wheels. Measures 11 parameters from 2 camera views. Built as the Implement phase of a DMAIC noise reduction project for wiper motor manufacturing. Python + OpenCV. No deep learning.
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