https://github.com/manchery/imagelabeler
基于Qt实现的图片数据标注工具. Image Annotation Tool Based on Qt, supporting 2D/3D Detection/Segmentation Annotation.
https://github.com/manchery/imagelabeler
3d-detection 3d-segmentation detection image-annotation-tool labelme qt segmentation
Last synced: about 2 months ago
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基于Qt实现的图片数据标注工具. Image Annotation Tool Based on Qt, supporting 2D/3D Detection/Segmentation Annotation.
- Host: GitHub
- URL: https://github.com/manchery/imagelabeler
- Owner: Manchery
- Created: 2019-09-05T11:25:31.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-02-05T16:44:25.000Z (over 4 years ago)
- Last Synced: 2025-04-13T21:06:25.419Z (about 2 months ago)
- Topics: 3d-detection, 3d-segmentation, detection, image-annotation-tool, labelme, qt, segmentation
- Language: C++
- Homepage:
- Size: 8.32 MB
- Stars: 121
- Watchers: 1
- Forks: 42
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# ImageLabeler
基于Qt实现的图片数据标注工具. Image Annotation Tool Based on Qt, supporting 2D/3D detection/segmentation.
Jialong Wu
## Introduction
This project uses Qt to develop an image data annotation tool with a graphical interface for data preparation in the field of artificial intelligence, specifically for users to annotate **2D** and **3D** images in two ways:
1. Detection annotation: mark the smallest possible rectangular (cube) box covering an object in the image and add a label to the box.
2. Segmentation annotation: indicates the pixels (voxels) covered by the object in the image, and also adds a label to the shape.
For details, please refer to our report (*in Chinese*).
## Environment
Qt 5.12.4, Qt Creator 4.9.2
## Installation
Download link for Windows Application: [Google Drive](https://drive.google.com/file/d/1BQ8jBtVMa8WzyCPnTMI7leY5lvT-D3gr/view?usp=sharing).
## Usage
We refer users to Section 3 in our [project report](https://github.com/Manchery/ImageLabeler/blob/master/doc/%E5%9F%BA%E4%BA%8EQt%E5%AE%9E%E7%8E%B0%E7%9A%84%E5%9B%BE%E7%89%87%E6%95%B0%E6%8D%AE%E6%A0%87%E6%B3%A8%E5%B7%A5%E5%85%B7_%E6%96%87%E6%A1%A3.pdf) (*in Chinese*) for detailed instructions for use.
## Snapshots
## Acknowledgement
We are very grateful for the reference, [labelme](https://github.com/wkentaro/labelme).
This is the course project for Practical Training For Programming in School of Software, Tsinghua University, instructed by [Prof. Xu](http://xufeng.site/). We would like to thank Prof. Xu and TAs for their devotion to the course.
## References
1. [labelme](https://github.com/wkentaro/labelme)
2. [Qt document](https://doc.qt.io/qt-5/index.html)
3. [Random colors Qt](https://gist.github.com/ialhashim/b39a68cf48a0d2e66621)
4. [QDarkStyleSheet](https://github.com/ColinDuquesnoy/QDarkStyleSheet)