README.md

Pose Estimation Example

Introduction

Pose estimation is a task that involves identifying the location of specific points in an image, usually referred to as keypoints. The keypoints can represent various parts of the object such as joints, landmarks, or other distinctive features.

Usage

This guide will walk you through the process of performing YOLO-Pose calibration tasks on X-AnyLabeling:

• Start by adding the image files.
• Then, tap the rectangle button on the left menu or press the R key to quickly create a rectangle shape and type in the matching label and group_id in the dialog.
• Next: Click the Point button on the left menu bar to draw keypoints on the object. Assign the same group_id to the keypoints as the corresponding rectangle to link them together. Keep in mind:
  • If a keypoint is not visible, you may omit it.
  • If a keypoint is obscured, check the useDifficult field.

For each object, all associated keypoints and the corresponding rectangle should have the same group_id, which must be unique within the current image.

Tip

You can press the s key to show or the w key to hide the selected shape.

Export

To export your pose estimation annotations, proceed with the following steps:

1. Click on the Export button located in the menu bar at the top.
2. Select the Export YOLO-Pose Annotations option.
3. Upload your custom label file, e.g., pose_classes.yaml, to ensure the correct mapping of object classes.

These steps will facilitate the proper export of your pose estimation annotations for further use or analysis.

To understand the dataset format for YOLO-Pose, refer to the official documentation and consult the sample output file here.