vectorspacelab/arex-skill/system-pipelines

System pipelines

Use this sub-skill for bundled multi-stage PaddleCV workflows: OCR, PP-Structure, ShiTu, Human, Vehicle, TinyPose, information extraction, sentiment analysis, and text-to-speech.

Covers

• PaddleCV(task_name=...) routes for the packaged presets
• system YAMLs under paddlecv/configs/system/
• OCR, table, layout, retrieval, attribute, IE, SA, and TTS chains
• runtime download behavior, cache layout, and task-name selection

Excludes

• single-op presets under paddlecv/configs/single_op/
• custom operator implementation details and registry plumbing
• pure training or tutorial reproduction material

Read these files

• ../../references/task-catalog.md for the packaged system presets and config families.
• ../../references/api-reference.md for PaddleCV and Pipeline signatures.
• ../../references/workflows.md for the common task_name and direct-config flows.
• ../../references/troubleshooting.md for import, cache, and dependency issues.
• ../../scripts/run_predict.py for the bundled runner that handles --task-name.

Typical user requests

• "Run PP-OCRv3 on an image"
• "Use the built-in PP-Structure table pipeline"
• "Run sentiment analysis or TTS through PaddleCV"
• "Why does the OCR preset fail to download fonts or dicts?"

Core workflow

1. Prefer PaddleCV(task_name=...) when the workflow matches a bundled preset.
2. Use PaddleCV(config_path=...) when the exact system DAG is not exposed as a task name.
3. Use scripts/run_predict.py --task-name ... --input ... for a bundled command-line route.
4. Use PaddleCV.list_all_supported_tasks() to discover the packaged task names.

System task families

• OCR: PP-OCRv2, PP-OCRv3
• OCR extensions: PP-OCRv3-IE, PP-OCRv3-SA, PP-OCRv3-TTS
• Structure: PP-Structure plus direct config variants for table, layout-table, ser, and re
• Retrieval / recognition: PP-ShiTu, PP-ShiTuV2
• Analysis: PP-Human, PP-Human-Attr, PP-Vehicle, PP-Vehicle-Attr, Face-Detection-Attr
• Pose: PP-TinyPose

Notes on dependencies

• paddlenlp and paddlespeech are part of the import surface because their operators are imported when paddlecv loads.
• PaddleCV uses paddlecv:// URLs for configs, models, fonts, and dictionaries.
• OCR and structure workflows often depend on cache-populated fonts and label dictionaries.

Common failure modes

• Task-name typo or stale catalog entry.
• Missing cache assets for config/model/font downloads.
• Speech or NLP import failures caused by dependency version mismatches.
• Incorrect input type for video, directory, or image-based presets.

When to hand off

If the request is about one-model image inference, use single-model-inference. If the request is about building or changing the graph, operators, or output classes, use custom-ops.