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machine-learningdata-ai

numpy-vectorized-stitching

Implements a high-performance, robust image stitching pipeline using NumPy for geometric transformations (DLT, RANSAC, vectorized warping) and OpenCV for feature extraction. Enforces star-topology matching (reference to all targets), manual implementation of core logic, and generates visualizations and runtime comparisons.

View Sourcemachine-learning
ECNU-ICALK
maintainer
ECNU-ICALK
Updated 3/13/2026
Stars
304
Forks
34
quick start

Installation and usage

Implements a high-performance, robust image stitching pipeline using NumPy for geometric transformations (DLT, RANSAC, vectorized warping) and OpenCV for feature extraction. Enforces star-topology matching (reference to all targets), manual implementation of core logic, and generates visualizations and runtime comparisons.

Installation
$ install --globalskills.sh
Usage

Once installed, you can use this skill by running the following command in your terminal:

skills use numpy-vectorized-stitching