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https://github.com/abreheret/PixelAnnotationTool

Annotate quickly images.
https://github.com/abreheret/PixelAnnotationTool

annotation annotation-tool computer-vision deep-learning ground-truth image-labeling image-seg-tool labeling-tool opencv pixel pixel-wise qt5 tool

Last synced: about 1 month ago
JSON representation

Annotate quickly images.

Host: GitHub
URL: https://github.com/abreheret/PixelAnnotationTool
Owner: abreheret
License: lgpl-3.0
Created: 2017-10-03T16:52:13.000Z (over 6 years ago)
Default Branch: master
Last Pushed: 2022-11-21T13:39:21.000Z (over 1 year ago)
Last Synced: 2024-02-04T16:39:54.372Z (5 months ago)
Topics: annotation, annotation-tool, computer-vision, deep-learning, ground-truth, image-labeling, image-seg-tool, labeling-tool, opencv, pixel, pixel-wise, qt5, tool
Language: C++
Homepage:
Size: 23.8 MB
Stars: 1,363
Watchers: 46
Forks: 301
Open Issues: 23
Metadata Files:
- Readme: README.md
- License: LICENSE

Lists

awesome-robotic-tooling - PixelAnnotationTool - Annotate quickly images. (Data Visualization and Mission Control / Annotation)
awesome-production-machine-learning - PixelAnnotationTool - Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the [watershed marked algorithm of OpenCV](docs.opencv.org/3.1.0/d7/d1b/group__imgproc__misc.html#ga3267243e4d3f95165d55a618c65ac6e1) (Data Labelling and Synthesis)
awesome-data-annotation - PixelAnnotationTool - - image segmentation (Image / video / Open source)
awesome-dataset-tools - Pixel Annotation Tool - Uses the algorithm watershed marked of OpenCV to annotate images in directories (Labeling Tools / Images)
awesome-production-machine-learning - PixelAnnotationTool - Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the [watershed marked algorithm of OpenCV](docs.opencv.org/3.1.0/d7/d1b/group__imgproc__misc.html#ga3267243e4d3f95165d55a618c65ac6e1) (Data Labelling Tools and Frameworks)
Awesome-AIML-Data-Ops - PixelAnnotationTool - Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the [watershed marked algorithm of OpenCV](docs.opencv.org/3.1.0/d7/d1b/group__imgproc__misc.html#ga3267243e4d3f95165d55a618c65ac6e1) (Data Labelling Tools and Frameworks)
awesome-production-machine-learning - PixelAnnotationTool - Image annotation tool with ability to "colour" on the images to select labels for segmentation. Process is semi-automated with the [watershed marked algorithm of OpenCV](docs.opencv.org/3.1.0/d7/d1b/group__imgproc__misc.html#ga3267243e4d3f95165d55a618c65ac6e1) (Data Labelling Tools and Frameworks)
awesome-robotic-tooling - PixelAnnotationTool - Annotate quickly images (Interaction / Data Visualization and Mission Control)
awesome-robotic-tooling - PixelAnnotationTool - Annotate quickly images. (Data Visualization and Mission Control / Annotation)
awesome-stars - abreheret/PixelAnnotationTool - Annotate quickly images. (C++)

README

        PixelAnnotationTool

============================

-----------------

| **` Linux/MAC `** | **` Windows `** | **` Donate  `** | 

|-----------------|---------------------|---------------------|

| [![Build Status](https://api.travis-ci.org/abreheret/PixelAnnotationTool.svg?branch=master)](https://travis-ci.org/abreheret/PixelAnnotationTool) | [![Appveyor Build Status](https://img.shields.io/appveyor/ci/abreheret/pixelannotationtool.svg)](https://ci.appveyor.com/project/abreheret/pixelannotationtool) |  [![Donate](https://img.shields.io/badge/Donate-PayPal-green.svg)](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=8K79VKWBS7352) |

Software that allows you to manually and quickly annotate images in directories.

The method is pseudo manual because it uses the algorithm [watershed marked](http://docs.opencv.org/3.1.0/d7/d1b/group__imgproc__misc.html#ga3267243e4d3f95165d55a618c65ac6e1) of OpenCV. The general idea is to manually provide the marker with brushes and then to launch the algorithm. If at first pass the segmentation needs to be corrected, the user can refine the markers by drawing new ones on the erroneous areas (as shown on video below).

[![gif_file](giphy.gif)](https://youtu.be/wxi2dInWDnI)

Example :

 

Little example from an user ([tenjumh](https://github.com/tenjumh/Pixel-Annotation-Tool)) of PixelAnnotationTools : https://www.youtube.com/watch?v=tX-xcg5wY4U

----------

### Building Dependencies :

* [Qt](https://www.qt.io/download-open-source/)  >= 5.x

* [CMake](https://cmake.org/download/) >= 2.8.x 

* [OpenCV](http://opencv.org/releases.html) >= 2.4.x 

* For Windows Compiler : Works under Visual Studio >= 2015

How to build go to [here](scripts_to_build)

### Download binaries :

Go to release [page](https://github.com/abreheret/PixelAnnotationTool/releases)

### Donate :

If you like, donate !

Donating is very simple - and secure. Please click [here](https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=8K79VKWBS7352) to make a donation. 

**Thank you!**

Your donation will help me to maintain and update PixelAnnotationTool.

### License :

GNU Lesser General Public License v3.0 

Permissions of this copyleft license are conditioned on making available complete source code of licensed works and modifications under the same license or the GNU GPLv3. Copyright and license notices must be preserved. Contributors provide an express grant of patent rights. However, a larger work using the licensed work through interfaces provided by the licensed work may be distributed under different terms and without source code for the larger work.

[more](https://github.com/abreheret/PixelAnnotationTool/blob/master/LICENSE)

### Citation :

```bib

  @MISC{Breheret:2017,

    author = {Amaury Br{\'e}h{\'e}ret},

    title = {{Pixel Annotation Tool}},

    howpublished = "\url{https://github.com/abreheret/PixelAnnotationTool}",

    year = {2017},

  }

```