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keypoint-click-tool's Introduction

Keypoint Click Tool

Made for: The data collection process of labeling self-obtained data on keypoints

Keypoints used in:

  • Hand Pose Recognition
  • Facial Recognition (supported soon)
  • Body Pose Recognition (supported soon)

Generates a file called keypoint_labels.json once finished

A sample folder will be in the 'hands' folder

NOTE: The files are sorted in alphabetical order before running
NOTE: At the moment a maximum of 21 keypoints are allowed in the program

NOTE: Please refer to Keypoint-Example.png for the order of keypoints

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How To Run:

  • Move folder full of non-processed images into keypoint-click-tool folder
    • The tool will look for an images folder by default
    • To specify another folder use the --read tag with the name of the folder
    • Example: --read other-folder-name
  • pip install opencv-python (or pip3 for some Mac users)
  • Run the tool using python keypoint-clicker.py

Flags:

  • Read Flag
    • --read other-folder-name - Used to specify if the tool should read images from another folder
  • Begin Flag
    • --begin IMG_NAME.jpg - Used to specify to start reading at a certain file name

Commands:

  • 'n' Key
    • Used to go to the next image (usually used once all keypoints are selected)
  • 'b'
    • Used to go back a keypoint
  • 'q'
    • Used to quit the program

keypoint-click-tool's People

Watchers

James Cloos avatar Kyle Williams avatar

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