项目介绍

latsic/imgalign 是一个托管在 GitHub 上的开源项目,主要使用 C++ 编写,目前获得 347 个 Star、47 次 Fork。

仓库全名
latsic/imgalign
Star 数
347
Fork 数
47
未关闭 Issue
1

README 摘要

ImgAlign A webapplication to join, stitch or align overlapping images. It can be used to create panoramas or to align images, for example forms which have not been scanned properly. Features: Surface projection, feature detection, feature matching, bundle adjustement, wave correction, color transfer, seam detection and multiband blending. The core algorithms are taken from OpenCV (modules Feature2D and Stitching…

完整内容见 GitHub 原始 README 或本页 。

常见问题

imgalign 用什么语言开发?

主要使用 C++ 编写,目前有 347 个 Star。

如何获取 imgalign 的源码?

可以直接克隆仓库:git clone https://github.com/latsic/imgalign.git,默认分支为 master;安装与运行步骤见仓库 README。

imgalign 最近还在维护吗?

仓库最近一次更新为 2019年3月29日,当前有 1 个未关闭 Issue;Star 数为 347,可作为社区活跃度的参考。

关于

Webapplication for image stitching and aligning

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

Batchfile
C
C#
C++
CMake
CSS
Clojure
Cuda
HLSL
HTML
Java
JavaScript
Makefile
Objective-C
Objective-C++
Perl
PowerShell
Prolog
Python
Scala
Shell
TeX
Vue

贡献者

README

ImgAlign

A webapplication to join, stitch or align overlapping images. It can be used to create panoramas or to align images, for example forms which have not been scanned properly.

Features: Surface projection, feature detection, feature matching, bundle adjustement, wave correction, color transfer, seam detection and multiband blending.

The core algorithms are taken from OpenCV (modules Feature2D and Stitching mainly) and have been adjusted where needed. A customized version of OpenCV has then been compiled to wasm. To ensure a non blocking UI, all OpenCV related functions run via a webworker.

Pros and cons: As image stitching can be quite memory and cpu intensive, there are some limitations on the amount or size of images which can be stitched together, especially on mobile devices. On the plus side, basic stitching functionality is available on almost any device which can run a browser. There is no need to download a professional stitching software. The application is fully functional offline as well.

Built With

  • Vue - The web framework used
  • Vuex - Vue store
  • Vuetify - Vue Material Design Component Framework
  • OpenCV - Open Source Computer Vision Library
  • WebAssembly - Binary instruction format for a stack-based virtual machine

Getting Started

Prerequisites

Build instructions

  • npm run build / npm run serve

Optionally opencv can be built:

  • Install emsdk and make it available on the command line.
  • Install python and make it available on the command line.
  • Run build_opencv.sh, this will create an opencv wasm version and copies it to the public folder of the spa.

Deployment

Contributing

Versioning

Authors

License

MIT if not otherwise noted in the source files. Be aware that Surf and Sift are patented algorithms (at least in some regions of the world).

Acknowledgments

Images and Screenshots

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