- Fixed WSL CUDA library path in ~/.bashrc
- Upgraded PaddlePaddle from 3.0.0 to 3.2.1
- Verified fused_rms_norm_ext API is now available
- Enabled chart recognition in ocr_service.py
- Updated CHART_RECOGNITION.md to reflect enabled status
Chart recognition now supports:
✅ Chart type identification
✅ Data extraction from charts
✅ Axis and legend parsing
✅ Converting charts to structured data
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
PaddleOCR-VL chart recognition model requires `fused_rms_norm_ext` API
which is not available in PaddlePaddle 3.0.0 stable release.
Changes:
- Set use_chart_recognition=False in PP-StructureV3 initialization
- Remove unsupported show_log parameter from PaddleOCR 3.x API calls
- Document known limitation in openspec proposal
- Add limitation documentation to README
- Update tasks.md with documentation task for known issues
Impact:
- Layout analysis still detects/extracts charts as images ✓
- Tables, formulas, and text recognition work normally ✓
- Deep chart understanding (type detection, data extraction) disabled ✗
- Chart to structured data conversion disabled ✗
Workaround: Charts saved as image files for manual review
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
PaddlePaddle 3.0.0b2 has "Illegal instruction" error on current CPU.
Downgrade to stable 2.6.2 which works but uses different API.
Changes:
- Auto-detect PaddlePaddle version at runtime
- Use 'device' parameter for 3.x (device="gpu:0" or "cpu")
- Use 'use_gpu' + 'gpu_mem' parameters for 2.x
- Apply to both get_ocr_engine() and get_structure_engine()
- Log PaddlePaddle version in initialization messages
Current setup:
- paddlepaddle-gpu==2.6.2 (stable, CUDA compiled)
- paddleocr==3.3.1
- paddlex==3.3.9
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
PaddleOCR 3.x changed the API:
- Removed: use_gpu=True/False and gpu_mem=<value>
- Added: device="gpu:0" or device="cpu"
Changes:
- Updated get_ocr_engine() to use device parameter
- Updated get_structure_engine() to use device parameter
- GPU mode: device="gpu:{gpu_device_id}"
- CPU mode: device="cpu"
This fixes the "ValueError: Unknown argument: gpu_mem" runtime error.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
