https://github.com/tucan9389/keypointannotation

https://github.com/tucan9389/keypointannotation

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/tucan9389/keypointannotation
• Owner: tucan9389
• License: mit
• Created: 2018-08-11T08:30:13.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2020-02-29T12:57:22.000Z (over 5 years ago)
• Last Synced: 2025-04-30T13:28:09.494Z (5 months ago)
• Language: Swift
• Size: 15.8 MB
• Stars: 42
• Watchers: 3
• Forks: 7
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# KeypointAnnotation

This project help create (anything) estimation dataset on iOS.


Once you had image set, you can annotate estimation point through touch and drag. 

|                                                              |                                                          |

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

| ![annotation_ios_app_demo001](resource/annotation_ios_app_demo001.gif) | ![annitation_dataflow](resource/annitation_dataflow.png) |

And then export json as [COCO format](http://cocodataset.org/#format-data).

## Prerequirments

### Prepare Annotated.zip and then move to Xcode project

Before annotation you need to prepare `Annotated.zip` following structure. 

> *‼️`Annotated`, `annotation.json`, `images` name must not be changed‼️*

> If you have already a bunch of images, you can make annoated dataset as this format by using [dont-be-turtle-pose-annotation-tool](https://github.com/motlabs/dont-be-turtle-pose-annotation-tool).

```

Annotated

  ├ dataset001

    ├ annoation.json

    ├ images

      ├ img_0000001.jpg

      ├ img_0000002.jpg

      ├ img_0000003.jpg

      ├ ...

  ├ dataset002

    ├ annoation.json

    ├ images

      ..

```

And import **the zip file** to this project.

![import_annotated_zip_file](resource/import_annotated_zip_file.png)

And then run the project.