文档边缘检测文献调研-2
LiveEdgeDetection is an Android document detection library built on top of OpenCV. It scans documents from camera live mode and allows you to adjust crop using the detected 4 edges and performs perspective transformation of the cropped image. It works best with a dark background.
https://github.com/adityaarora1/LiveEdgeDetection
Document Boundary & Canny Edge Detection using OpenCV
https://github.com/adityaguptai/Document-Boundary-Detection
ScanLibrary is an android document scanning library built on top of OpenCV, using the app you will be able to select the exact edges and crop the document accordingly from the selected 4 edges and change the perspective transformation of the cropped image.
https://github.com/jhansireddy/AndroidScannerDemo
It’s is an Android document detection library built on top of OpenCV 4.6.0 It works best with a dark background.
https://github.com/hannesa2/LiveEdgeDetection
A camera view for iOS with document edge detection like Scannable or InstaPDF
https://github.com/softwarebrauerei/SobrCameraView-ios
A Pytorch Implementation of HED (Holistically-Nested Edge Detection algorithm) for Document Detection
https://github.com/Duchen521/HED-document-detection
A document scanner that automatically trims the edge with perspective transform
https://github.com/beast/react-native-scan-doc
PCL Imaging Library for Document Scanning, contains Canny edge detection, Blob counter, quadrilateral transformation and many more.
https://github.com/enginkirmaci/Imaging-Library
A pod written in swift that lets you scan and crop documents. It uses edge detection and perspective transformation with OpenCV.
https://github.com/Srinija/SwiftCamScanner
This repository is to share the EdgeAI Lab with Microcontrollers Series material to the entire community. We will share documents, presentations and source code of two demo applications.
https://github.com/Machine-Learning-Tokyo/edgeai-lab-microcontroller-series
Document for osm-edge(https://github.com/flomesh-io/osm-edge), build on top of osm-doc(https://github.com/openservicemesh/osm-docs).
https://github.com/flomesh-io/osm-edge-docs
This repo contains a document scanner which detects the document from an input image and scans it. I have also included a manual crop feature incase the document edges are not detected correctly.
https://github.com/A-Bhat/DocumentScanner
The source code for “A Neural Edge-Editing Approach for Document-Level Relation Graph Extraction” in Findings of ACL-IJCNLP 2021
https://github.com/tti-coin/edge-editing
document_edge
https://github.com/wKolesnikAndrew/document_edge
Created a document scanner using Python, OpenCV. Implement edge detection, Contour detection, perspective transform and thresholding.
https://github.com/Shubhamlmp/Docs-Scanner
document_edge_example
https://github.com/wKolesnikAndrew/document_edge/tree/master/example
Document outline detection
https://github.com/yunwoong7/doc_edge_detection
Uses openCV to perform edge detection and crop the documents
https://github.com/Aadil123/DocumentScanner
A document scanner built using opencv and Canny edge detection algorithm
https://github.com/gauravchaturvedi02/camscanner
Image Document detection (https://github.com/adityaarora1/LiveEdgeDetection)
https://github.com/masumba/ImageScannerDocumentEdgeDetection
Document Scanning using Python and Open-CV. The Program automatically detects the edges of the Page and will Crop-Warp the Region. It use Perspective transform to obtain a top-down, “Birds Eye View” of an image to make a Digital Copy of the Document. I will provide all the Source Files once i complete this Project.
https://github.com/imabhisht/Document-Scanner
Camscanner Alternative Edge Detection & Magic Filter Using Opencv
https://github.com/h4rz/Android-Document-Scanner
Source code for the EMNLP 2019 paper: “Connecting the Dots: Document-level Relation Extraction with Edge-oriented Graphs”
https://github.com/fenchri/edge-oriented-graph
The code and the DIW dataset for “Learning From Documents in the Wild to Improve Document Unwarping” (SIGGRAPH 2022)
https://github.com/cvlab-stonybrook/PaperEdge