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name: dbnet description: "Use EasyOCR's DBNet detector, check DBNet import/init, and compile the DCN operator when the detector backend needs repair." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

EasyOCR DBNet

Use this sub-skill when the task involves detect_network='dbnet18', DBNet import/init, or compiling the DCN operator that DBNet needs.

Use when

• The user wants the DBNet detector instead of the default CRAFT detector.
• The user asks about DBNet, dcn, compile, NVCC, or CUDA/CPU build issues.
• A DBNet import works but initialization or detection fails.
• The user needs a quick CPU smoke for the DBNet module.

Do not use when

• The task is ordinary OCR with the default detector. Use sub-skills/inference/.
• The task is about custom recognition bundles. Use sub-skills/custom-models/.
• The task is only about training or ONNX export.

Quick workflow

1. Read references/workflows.md for the DBNet runtime and compile sequence.
2. Run scripts/compile_dcn.py --help or --check-only to inspect the current DCN state.
3. If needed, run scripts/compile_dcn.py --build after checking the compiler prerequisites.
4. Use references/troubleshooting.md for device mismatch, missing operator, and compiler failures.

What this sub-skill owns

• DBNet detector selection inside EasyOCR.
• DBNet import/init checks.
• DCN operator build and presence checks.
• CPU versus CUDA compilation guidance for the DBNet operator.

References and scripts

• ../../references/api-reference.md for the main Reader surface.
• ../../references/configuration.md for cache locations and detector choice.
• references/workflows.md for DBNet runtime and compile steps.
• references/troubleshooting.md for backend, operator, and device errors.
• scripts/compile_dcn.py for a bundled DCN helper.

Boundary notes

• Keep the default detector workflow in inference.
• Keep custom model loading in the custom-models sub-skill.
• Treat dbnet50 as an internal DBNet detail here; Reader only exposes the DBNet choice used in this checkout.