onnx-to-cvimodel
onnx-to-cvimodel is an MLOps & model serving skill for AI agents, published by Seeed-Studio in the ai-skills repository on GitHub. Skillspace rates onnx-to-cvimodel C (78/100) and it passed the safety scan; the rating is based on static analysis only.
Expert guide for converting ONNX models to CVIMODEL format for Sophgo CV181x TPU. Supports YOLO11/YOLO26 (detect, pose, seg, cls), BiSeNetv2 (semantic segmentation), and PP-LiteSeg (semantic segmentation). Includes tested conversion scripts, quantization tables (qtables), ION memory optimization (--quant_output), validation workflow, and complete documentation. Use when user needs to convert ONNX models to CVIMODEL, set up TPU-MLIR conversion pipeline, configure output names and quantization, optimize ION memory usage, validate conversion accuracy, or troubleshoot conversion issues.
- Grade
- C
- Quality
- 78 / 100
- Safety
- Passed
- GitHub stars
- 22
Unproven: rated by static analysis only, not yet compared head-to-head.
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Our review
- Architecture
- 83 / 100
- Maturity
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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