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name: training-export-and-deployment description: "Routes PaddleOCR users to training, export, deployment, and config-maintenance workflows." metadata: disco-role: operating disable-model-invocation: true license: Apache 2.0

Training, Export, and Deployment

Use this route when the task is about training, evaluating, exporting, or deploying PaddleOCR models, or when the user needs to inspect config-driven launch paths rather than run a simple inference command.

Handle these tasks here

• Config-driven training and evaluation.
• Exporting models and inspecting training/program YAML.
• Deployment decisions across serving, ONNX, C++, mobile, and high-performance inference paths.
• TIPC and other long-tail regression evidence.

Route away from here

• Everyday local OCR inference belongs in local-ocr-pipelines.
• Document parsing and Office conversion belong in document-parsing-and-conversion.
• Hosted API or MCP work belongs in cloud-api-and-integrations.

Read these references

• references/training-and-export.md for config structure, train/eval/export flow, and common command patterns.
• references/deployment-reference.md for deployment path selection and backend expectations.
• references/troubleshooting.md for YAML, dataset, checkpoint, and backend failures.

Use the bundled script

• scripts/inspect_training_config.py safely summarizes PaddleOCR-style YAML configs without running training.

What future agents should know

• The source tools/ scripts and deploy/ tree are evidence for the public workflow, but they are not the runtime skill's execution surface.
• Training and export are long-running and backend-sensitive. Use the references to choose the command shape, then validate the config before starting a job.
• Treat tests/test_program_safe_yaml.py and similar config-safety tests as evidence for parser behavior, not as a substitute for real training.
• Keep deployment choices separate: a serving path, an ONNX path, a C++ path, and a mobile path are not interchangeable.

Common triggers

• "How do I train PaddleOCR on my dataset?"
• "What config keys does program.py understand?"
• "How do I export a model or choose a deployment backend?"
• "Why did my deployment or checkpoint step fail?"