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easyocr

Use EasyOCR to detect and recognize text in images, configure model and language selection, load custom recognition bundles, and troubleshoot DBNet setup.

中文简介正在准备中。当前显示原文说明。

查看安装方法

包含的文件(20)

  • SKILL.md2.9 KB
  • references/api-reference.md3.2 KB
  • references/cli-reference.md2.3 KB
  • references/configuration.md2.6 KB
  • references/repo-provenance.md980 B
  • references/repo-routing-metadata.json314 B
  • references/troubleshooting.md2.8 KB
  • scripts/inspect_runtime.py2.0 KB
  • sub-skills/custom-models/references/troubleshooting.md1.9 KB
  • sub-skills/custom-models/references/workflows.md1.9 KB
  • sub-skills/custom-models/scripts/check_bundle.py2.4 KB
  • sub-skills/custom-models/SKILL.md2.3 KB
  • sub-skills/dbnet/references/troubleshooting.md2.1 KB
  • sub-skills/dbnet/references/workflows.md2.2 KB
  • sub-skills/dbnet/scripts/compile_dcn.py2.5 KB
  • sub-skills/dbnet/SKILL.md2.1 KB
  • sub-skills/inference/references/troubleshooting.md2.3 KB
  • sub-skills/inference/references/workflows.md2.7 KB
  • sub-skills/inference/scripts/readtext_smoke.py2.1 KB
  • sub-skills/inference/SKILL.md2.8 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

EasyOCR

Use this skill when the task is about extracting text from images, screenshots, scans, or cropped regions with EasyOCR.

Start here

  1. Install EasyOCR together with a PyTorch build that matches your backend. For CPU-only use, a normal pip install easyocr is usually enough. For GPU runs, install the matching torch and torchvision wheels first.
  2. Run scripts/inspect_runtime.py to confirm the package imports and the backend choice without downloading model weights.
  3. Pick the right route:
    • sub-skills/inference/ for ordinary OCR API or CLI usage.
    • sub-skills/custom-models/ for custom recognition bundles or custom model directories.
    • sub-skills/dbnet/ for detect_network='dbnet18', DBNet import/init, or DCN compilation issues.

What this skill covers

  • easyocr.Reader initialization and the main OCR methods.
  • Language selection, model cache locations, download behavior, and backend fallback.
  • The EasyOCR CLI entry point.
  • Custom recognition model loading.
  • DBNet detector setup and DCN operator compilation.

What this skill does not cover

  • Training a new OCR model from scratch.
  • ONNX export helpers.
  • Maintainer-only language regeneration or release automation.

Quick import check

python -c "import easyocr; print(easyocr.__version__)"
python scripts/inspect_runtime.py --help

Route map

  • Read references/api-reference.md for public signatures and output shapes.
  • Read references/cli-reference.md for the CLI flag groups and parser caveats.
  • Read references/configuration.md for environment variables, cache paths, backend selection, and model selection rules.
  • Read references/troubleshooting.md for install, import, model-cache, and CLI/runtime quirks.
  • Read references/repo-provenance.md to check the source commit, package version, and refresh baseline.
  • Use sub-skills/inference/ for normal image OCR.
  • Use sub-skills/custom-models/ for custom recognition bundles.
  • Use sub-skills/dbnet/ for DBNet detector setup and DCN compilation.

Common user intents

  • "Read text from this image" -> sub-skills/inference/
  • "Use my own recognition model" -> sub-skills/custom-models/
  • "Enable DBNet" or "compile DCN" -> sub-skills/dbnet/
  • "EasyOCR import fails" -> references/troubleshooting.md

Notes for future agents

  • Prefer the bundled scripts and references in this skill tree.
  • Do not depend on the original repository checkout once the guidance has been distilled here.
  • Treat easyocr.Reader and the CLI as the stable public surface; keep lower- level implementation details in the sub-skill references.

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