# LabCD **Repository Path**: Geoyee/LabCD ## Basic Information - **Project Name**: LabCD - **Description**: 遥感变化检测标注工具『Remote sensing change detection annotation tool』 - **Primary Language**: C++ - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-02-07 - **Last Updated**: 2023-07-05 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # LabCD Englis | [简体中文](./README.md) [![version](https://img.shields.io/github/release/geoyee/LabCD.svg)](https://github.com/geoyee/LabCD/releases) [![license](https://img.shields.io/badge/license-GPLv3-blue.svg)](LICENSE) ![Language](https://img.shields.io/badge/language-C++%2017-blue.svg) https://user-images.githubusercontent.com/71769312/216638896-bd1d5e40-6512-478d-b7b0-927c142aece6.mp4 Remote sensing change detection annotation tool, it was designed with reference to [EISeg](https://github.com/PaddlePaddle/PaddleSeg/tree/release/2.6/EISeg). It can mark the change information of images in two periods in the left and right canvases respectively, and automatically display it in the other canvas synchronously. ## News 1. Add calculation of OIF for the first time loading multi-spectral data, and subsequent loading of calculated bands. 2. Add the ability to set the size of the split image blocks, without discarding any portions that do not fill a complete block. 3. Add merging of labeled image blocks. 4. Add filtering of empty labels and images, and loading of pre-inferred masks. ## Dependences - Qt 6.4.0 - OpenCV 4.5.5 - JsonCpp 1.9.5 - GDAL 3.5.3 - Eigen 3.4.0 ## Tutorials and Documents - [Download and usage](./docs/Download_and_usage_en.md) - [Keyboard shortcuts](./docs/Keyboard_shortcuts_en.md) - [Usage tutorial](./docs/Usage_tutorial_en.md) ## Resources - Icon:[SuperMap GIS Product color system function icon library](https://www.iconfont.cn/collections/detail?spm=a313x.7781069.1998910419.d9df05512&cid=32519&lang=en-us) - Color:[Color Palette | AntV](https://antv.vision/en/docs/specification/language/palette)