ahmadmardeni1
commented
3 years ago Good afternoon and thank you for submitting your topic suggestion. @Bayler Your topic form has been entered into our queue and should be reviewed (for approval) as soon as a content moderator is finished reviewing the ones in the queue before it.
lalith1403
Proposed title of article
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[Machine Learning] Multi-Person Pose Estimation with Python
Proposed article introduction
The MoveNet model is a convolutional neural network model that runs on RGB images and predicts human joint locations of people in the image frame. The main differentiator between this MoveNet.MultiPose and its precedent, MoveNet.SinglePose model, is that this model is able to detect multiple people in the image frame at the same time while still achieving real-time speed. The model was designed to be run in the browser using TensorFlow.js or on devices using TensorFlow Lite, targeting movement/fitness activities.
In this tutorial, we will use a technique known as Multi-Person Pose Estimation to predicts human joint locations of people in an image frame. One of the most popular use cases is in kinematics.
Key takeaways
What are the 3-5 most important things the reader should understand or be able to do after reading this article? Use this area to get your ideas down on the bulk of your article or tutorial.
By the end of this tutorial, a reader should be able to:
References