What is onnxtools CLAUDE.md?

A navigation and conventions guide for ONNX-based vehicle and licence-plate recognition software. ONNX is a format for sharing machine-learning models between tools; this guide points developers to the relevant code, model, tracking, evaluation, configuration, and testing documentation.

Use it when adding model architectures, working on inference or tracking, customising visual output, evaluating results, debugging ONNX or TensorRT builds, changing configuration, or writing tests.

It reduces the time spent searching a large toolkit and helps changes follow the project’s existing design rules. It also shows where different types of work are documented.

How yyq19990828/onnxtools configures Claude Code

Reuse

Borrowing it

Nothing to install: this file belongs to yyq19990828/onnxtools. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/yyq19990828/onnxtools/main/CLAUDE.md

Clone the repo

git clone --depth 1 https://github.com/yyq19990828/onnxtools

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/yyq19990828/onnxtools/claude-md/github.svg)](https://agentmods.dev/instructions/yyq19990828/onnxtools/claude-md)

Your own site

<a href="https://agentmods.dev/instructions/yyq19990828/onnxtools/claude-md"><img src="https://agentmods.dev/badge/instructions/yyq19990828/onnxtools/claude-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/yyq19990828/onnxtools/claude-md"><img src="https://agentmods.dev/badge/instructions/yyq19990828/onnxtools/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 2,819 This file is loaded in full into every session.

When invoked 2,819 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.02819	$0.02819
Opus 5.5	$0.01128	$0.01128
Sonnet 5.5	$0.00564	$0.00564
Haiku 4.5	$0.00282	$0.00282

Measured 2mo ago against content hash 1dfb3586187d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

onnxtools CLAUDE.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

CLAUDE.md · 178 lines

How it starts

The opening of the file, as written. The whole thing — 178 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md

Navigation and conventions file for AI assistants working in this repo. For user-facing install/CLI/perf, see README.md.

ONNX-based vehicle and license plate recognition toolkit. Supports YOLO / RT-DETR / RF-DETR detection, OCR, and color/layer classification.

I want to...	Go here
Install, run, CLI args, performance numbers	README.md
Add a new model architecture	Core Conventions below + onnxtools/infer_onnx/CLAUDE.md
Inference engine internals (BaseORT, Result, ORT subclasses)	onnxtools/infer_onnx/CLAUDE.md
Visualization customization (13 annotators, 5 presets)	onnxtools/utils/CLAUDE.md · docs/annotator_usage.md
Model evaluation (COCO mAP, OCR metrics, MOT HOTA/MOTA/IDF1)	onnxtools/eval/CLAUDE.md · docs/evaluation_guide.md
2D multi-object tracking (ByteTrack, OC-SORT)	onnxtools/tracking/CLAUDE.md · docs/api/tracking.md
TensorRT build / ONNX debugging	tools/README.md · docs/polygraphy使用指南/
Run/write tests	tests/CLAUDE.md
Config files (det_config / plate / visualization presets)	configs/CLAUDE.md
MCP server / LLM tool interface	mcp_tools/CLAUDE.md

Module Index

Path	Responsibility	Docs
`onnxtools/`	Core Python package, public API entry	CLAUDE.md
`onnxtools/infer_onnx/`	YOLO / RT-DETR / RF-DETR / OCR inference classes	CLAUDE.md
`onnxtools/utils/`	Image processing, Supervision visualization, OCR metrics	CLAUDE.md
`onnxtools/eval/`	COCO / OCR dataset evaluators	CLAUDE.md
`onnxtools/tracking/`	2D MOT — ByteTrack (supervision / native) + OC-SORT	CLAUDE.md
`tools/`	Evaluation, TensorRT build, ONNX vs TRT comparison	README.md
`tests/`	unit / integration / contract / performance	CLAUDE.md
`configs/`	Detection classes, OCR dict, visualization presets (YAML)	CLAUDE.md
`models/`	ONNX models and TensorRT engines (.gitignore)	CLAUDE.md
`specs/`	Completed feature specs (spec-kit)	CLAUDE.md
`openspec/`	OpenSpec change proposals and archive	CLAUDE.md
`docs/`	User docs, Polygraphy guide, API reference	CLAUDE.md
`third_party/`	Ultralytics / Polygraphy / RF-DETR integrations	CLAUDE.md
`mcp_tools/`	FastMCP server, LLM tool interface	CLAUDE.md
`examples/`	Demo scripts (demo_pipeline, demo_crop)	—

Read the full file on GitHub · 178 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 178 lines · 2,819 tokens per session scan A 1dfb3586187d

Subscribe to this mod's changes

onnxtools CLAUDE.md is an instructions file published in the GitHub repository yyq19990828/onnxtools (5 stars, last pushed 3mo ago), licensed MIT. It adds 2,819 tokens to every session, about $0.0113 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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onnxtools: Instructions file for Claude Code