atc-model-converter
OfficialConvert ONNX models to Ascend OM and validate end-to-end.
Authorascend-ai-coding
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Complete toolkit for converting ONNX models to Ascend OM format using ATC and validating results via AIS Bench and end-to-end inference workflows on Ascend devices.
Core Features & Use Cases
- ATC ONNX-to-OM conversion across multiple CANN versions (8.3.RC1, 8.5.0+) with compatibility guidance.
- End-to-end inference workflow using ais_bench to run OM models and compare against CPU ONNX outputs.
- YOLO model deployment and multi-task inference support (detection, pose, segmentation, OBB) with post-processing guides and troubleshooting.
- Comprehensive environment setup, batch conversion helpers, and pre/post-processing utilities to accelerate model deployment.
Quick Start
Install the required CANN toolkit and environment, then run the ATC workflow to convert an ONNX model to OM and validate it with ais_bench.
Dependency Matrix
Required Modules
onnxruntimeais_benchopencv-pythonultralyticstorchtorchvision
Components
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: atc-model-converter Download link: https://github.com/ascend-ai-coding/awesome-ascend-skills/archive/main.zip#atc-model-converter Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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