Image Processing with Cellular Neural Networks in Python
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Updated
Nov 1, 2018 - Python
Image Processing with Cellular Neural Networks in Python
LCNN: End-to-End Wireframe Parsing
From identity card image, this repo detect 4 corners, align by OpenCV, then detect word in image and recognize word by Transformer OCR.
Implentation of the Arc* algorithm, described in "Asynchronous Corner Detection and Tracking for Event Cameras in Real Time", Alzugaray & Chli, RA-L 2018
Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.
FAST-9 Accelerator for Corner Detection
Design real-time image processing, object recognition and PID control for Autonomous Drone.
An implementation of phase congruency image features detection: edges and corners.
An implementation of Edward Rosten's FAST corner detection algorithm
Find the implementation of Computer vision-based projects with Python, Deep Learning, and OpenCV
This project aims to build a digital business card wallet, as a mobile application. This application basically can take a picture of a business card, automatically extracting information about the card, and saves it in the user's digital wallet.
A faster re-implementation of the FAST-9 algorithm (C++, with C bindings available)
This repo contains some object detection algorithms and techniques (Not ML algorithms). This is aimed to get coordinates, width, height, and rotation of objects.
A Shape Finder using Corner-Harris and Heirarchical Clustering
Basic OpenCV Projects like Face Detection, Contour, Edge Detection etc
This project detects harris corner of the pattern, and cluster these corners based on the density,and then process these clustered pattern to identify which pattern it is and the object is find the feature points of these pattern and using pop to calculate the extrinsic parameters of the camera.
In this repo advanced vision tools are used . Algorithms for edge detection of various filters and scaling.
Features from Accelerated Segment Test (FAST)
A naive algorithm to identify corners on a image
This project concerned about using opencv and skimage to get the skeleton of a map generating by turtlebot, and processing the corner point of the skeleton in order to plan a route for the robot.
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