PoseAnnotationTool View on Asset Store (opens in new tab)

Package details

Latest version
1.1
Last updated
First released
Unity version
2018.4.3 or later
Package size
2.2 MB
Files
40
Favorites
8
Views in the past week
3

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PoseAnnotationTool

by furaga (opens in new tab)

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Price history for PoseAnnotationTool, 6 months Current $4.99; lowest $4.99; highest $4.99 in this period. $0 $2.5 $5 Jun Jul Aug Sep Oct Nov

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PoseAnnotationTool screenshot 1

PoseAnnotationTool screenshot 1

About this asset

PoseAnnotationTool is a simple human pose annotation tool.
You can annotate joint locations of people in images, and dump them to a json file.
Our tool is simple, but has functions to improve your annotation speed
- Shortcut keys for operations which you will frequently use.
- Move joints with their child joints (FK)
- Copy and paste skeletons
Also, we provide **a python script to visualize your annotations**. The visualizers will help you to understand how to load and parse annotation files in python.
We believe this script is useful if you would like to learn your annotations with Tensorflow or PyTorch.
We support two skeleton format, LSP format (14 joints, DEFAULT) and COCO format (19 joints).
Also, you can add another format by making a pose setting file by your own.
# Features
- A human pose annotation tool purely written in C#.
- A lot of functions to improve your annotation speed.
- A python script to visualize annotations
# How to Use
1. Import PoseAnnotationTool.unitypackage
2. Open and run `Assets/PoseAnnotationTool/Scenes/PoseAnnotationTool.unity`.
3. Click `..` button in Save/Load Panel and select an image directory that contains images you want to annotate.
(Or, write the directory path in the neighboring text field and press "Reload" button)
4. Press `N` key on Canvas to create a new skeleton. Then, move joints by dragging.
When moving a joint, its child joints moves synchronously. If you move individually, toggle "Move Child joints".
5. Press `◁` and `▷` buttons in Seek Bar to switch images.
6. Press `Save` button to save your annotations. The annotation will be saved in `[the image directory]/keypoints.json`.

From the publisher's Asset Store listing.