Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
-
Updated
Jul 31, 2025 - Python
Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans
[WACV 2024] BALF: Simple and Efficient Blur Aware Local Feature Detector
A Panoramic Image stitching implementation using classical and deep learning method
Feature Extraction and Matching is a computer vision project that uses SIFT and other algorithms to detect and track objects in images and videos, demonstrating practical implementations of feature-based object recognition through OpenCV.
Add a description, image, and links to the feature-detectors topic page so that developers can more easily learn about it.
To associate your repository with the feature-detectors topic, visit your repo's landing page and select "manage topics."