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Gesture Classifier Model using MediaPipe
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Submission information
Submission Number:
314
Submission ID:
4751
Submission UUID:
7aadcbd5-4735-4663-8cdb-06c037f346da
Submission URI:
/form/resource
Created:
Thu, 08/29/2024 - 19:23
Completed:
Thu, 08/29/2024 - 19:24
Changed:
Thu, 09/19/2024 - 13:04
Remote IP address:
52.124.39.58
Submitted by:
Felix Lu
Language:
English
Is draft:
No
Webform:
Knowledge Base Resources
Approved
Yes
Title
Gesture Classifier Model using MediaPipe
Category
Docs
Tags
ai
,
computer-vision
,
visualization
,
image-processing
Skill Level
Intermediate
Description
MediaPipe is Google's open-source framework for building multimodal (e.g., video, audio, etc.) machine learning pipelines. It is highly efficient and versatile, making it perfect for tasks like gesture recognition.
This is a tutorial on how to make a custom model for gesture recognition tasks based on the Google MediaPipe API. This tutorial is specifically for video-playback, though could be generalized to image and live-video feed recognition.
Link to Resource
Docs