Gesture Classifier Model using MediaPipe
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
Yes
Gesture Classifier Model using MediaPipe
Docs
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.
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.