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Synaptics/sr100_person_pose_detection_480x640
sr100_person_pose_detection_480x640 is a keypoint detection model from Synaptics. Use it for the keypoint detection task on the model card, and read the license before you ship it in a product. It is set up for tflite. The card lists the license as apache-2.0.
The Person Pose Detection 480x640 model developed by Synaptics, is a lightweight quantized tflite model developed for the SR100 processor in the Synaptics Astra™ SR MCU Series.
Downloads · 30 days
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From the Hugging Face model README
The Person Pose Detection 480x640 model developed by Synaptics, is a lightweight quantized tflite model developed for the SR100 processor in the Synaptics Astra™ SR MCU Series.
It efficiently generates bounding boxes and identifies 17 keypoints for each person, corresponding to various body parts. Each keypoint is accompanied by a confidence score that indicates the reliability of the detection, enabling accurate estimation of the person's pose. This model can fit in Flash and designed to fit in SRAM as well.
You can optimize this model for Synaptics Astra SR100 MCU using our our hosted SR100 Model Compiler HF Space.
Designed for real-time person pose estimation on embedded, resource-constrained edge devices. Typical use cases include:
You can evaluate and test this model directly in our hosted Hugging Face Space, optimized for Synaptics SR110 MCU. This space provides a seamless sandbox for model evaluation using hardware-specific quantization and runtime settings.
For a detailed walkthrough on how to optimize and evaluate a model, please see our Evaluate Model Guide page.
To get started quickly with Astra SR Series, visit our SR Quick Start page.
Distributed under the Apache License 2.0, allowing flexible use, modification, and distribution.