PediaMedAI/AggPose
[IJCAI 2022] Official PyTorch implementation of AggPose: Deep Aggregation Vision Transformer for Infant Pose Estimation
This project helps pediatricians and medical professionals analyze infant movement and posture from images to predict neurodevelopmental disorders early. You provide images or video frames of infants, and it outputs a detailed estimation of their body keypoints and pose. This tool is designed for medical researchers and clinicians focused on early childhood development and diagnostic screening.
No commits in the last 6 months.
Use this if you need an advanced system to accurately analyze infant poses from images for research or clinical assessment of neurodevelopment.
Not ideal if you are looking for a general human pose estimation tool not specifically trained for infants or if you don't have medical images of babies.
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30
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8
Language
Python
License
AGPL-3.0
Category
Last pushed
Jul 20, 2022
Commits (30d)
0
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