Easy-to-Use C++ Computer Vision Library
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Updated
May 20, 2024 - C++
Easy-to-Use C++ Computer Vision Library
Node feature discovery for Kubernetes
This repository contains an implementation of the Pyramidal Lucas-Kanade optical flow algorithm
visual (inertia) odometry of a drone with a monocular camera
Browser version determinator via feature detection
A C++ SIFT implementation (Scale invariant feature transform)
This is the git repository matching the Bioconductor package xcms: LC/MS and GC/MS Data Analysis
Panorama image stitching using SIFT algorithm, Homography, RANSAC and weighted blending in OpenCV.
Adds a Modernizr build to your Nuxt.js app.
Demo site for the chromium-detector library
Automatic muscle tendon junction tracking using deep learning 🦵🏼
The repository for Targeted Feature Detection and Extraction (TFD/E).
The goal of this project is to understand and perform camera calibration. The calibration parameters are then used to create a virtual object. Different features such as SURF, SIFT have also been implemented
Engine Detection Script for Browsers on Any Device
Discover the power of computer vision with OpenCV! Dive into practical examples covering image and video processing tasks, from object detection to augmented reality. Let's unlock new perspectives together! 💡✨
On-instrument and post-acquisition targeted feature extraction
Matching sub-template on real-time for the LAB
Image feature detection for the Julia language
Create panorama image using invariant features from given set of overlapping images.
This is a thumbor extension enabling a custom algorithm for feature detection.
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