Jack.Le
40 lines
1.5 KiB
Markdown
40 lines
1.5 KiB
Markdown
# Wafer Position Monitor (demo)
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PySide6 desktop demo: load NanoBerry edge CSVs from `MASTER_SD/`, fit a wafer circle, show **X / Y / theta** offset and **sigma** vs a calibration baseline. No live camera required.
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**Stack:** Python 3.11+, PySide6, NumPy.
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## Quick start
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```bash
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python3 -m venv .venv && source .venv/bin/activate
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pip install -e .
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wafer-user # or: python src/wafer_edge/App.py
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```
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Click **Read Wafer** to load the demo CSVs. Tests: `python -m pytest tests/` (UI smoke needs a display).
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## Demo data
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CSV files in `[MASTER_SD/](MASTER_SD/)`. Names: `{S|R}{1|2}{seq}P0.CSV` — local/remote board, SPI camera, 4-digit sequence (e.g. `S10540P0.CSV`).
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Default cameras: `CsvSource.DEMO_CAMERA_PATHS`. Change that dict or use `parse_csv_filename()` for other captures.
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## Calibration
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First run creates `baseline.json` (gitignored). Key fields: `center_mm`, `radius_mm` (75), `center_px`, `radius_px` (pixel scale).
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## Layout
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| Path | Role |
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| ----------------------- | --------------------------------- |
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| `src/wafer_edge/App.py` | Main window |
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| `VisionEngine.py` | Circle fit + offsets (no Qt) |
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| `CsvSource.py` | CSV loader |
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| `ui/widgets.py` | Plot + metric cards |
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| `ui/Theme.qml` | Styles (loaded via `ui/theme.py`) |
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**Pipeline:** `DEMO_CAMERA_PATHS` → `load_camera_records_from_csv()` → `snapshot_from_records()` → UI.
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