spatialml
OfficialConvert and debug ML models for Pico devices.
AuthorPico-Developer
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill streamlines the process of converting machine learning models into a format compatible with Pico devices and provides tools for debugging these models on the device.
Core Features & Use Cases
- Model Conversion: Convert various ML model formats (ONNX, TFLite, PB, PyTorch) into QNN context binaries.
- On-Device Debugging: Inspect and debug ML models and SecureMR pipelines directly on an Android (Pico) device using Python tools.
- Use Case: You have a PyTorch model trained for object detection. Use this Skill to convert it to a
.serialized.binformat for your Pico headset and then use the model inspector to verify its performance on the device.
Quick Start
Use the spatialml skill to convert the attached model file 'my_model.onnx' to a QNN context binary.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: spatialml Download link: https://github.com/Pico-Developer/pySecureMR/archive/main.zip#spatialml Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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