docs+test: add Kombi-Modus tests (19 passing) and MkDocs documentation
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- test_paddle_kombi.py: 6 IoU tests, 10 merge tests, 2 bullet-point tests
- OCR-Pipeline.md: new "OCR Overlay" section with Paddle Direct/Kombi docs,
  merge algorithm flowchart, dateistruktur update, changelog v4.5.0

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-03-12 20:18:46 +01:00
parent e9ccd1e35c
commit 61c8169f9e
2 changed files with 348 additions and 0 deletions

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@@ -162,6 +162,12 @@ admin-lehrer/
├── app/(admin)/ai/ocr-pipeline/
│ ├── page.tsx # Haupt-Page mit Session-Management
│ └── types.ts # TypeScript Interfaces
├── app/(admin)/ai/ocr-overlay/
│ ├── page.tsx # OCR Overlay: 3 Modi (Pipeline/Paddle/Kombi)
│ └── types.ts # OVERLAY_/PADDLE_DIRECT_/KOMBI_STEPS
├── components/ocr-overlay/
│ ├── PaddleDirectStep.tsx # Wiederverwendbar fuer Paddle Direct + Kombi
│ └── OverlayReconstruction.tsx # Overlay-Anzeige auf Bildhintergrund
└── components/ocr-pipeline/
├── PipelineStepper.tsx # Fortschritts-Stepper
├── StepOrientation.tsx # Schritt 1: Orientierung
@@ -1081,10 +1087,139 @@ ssh macmini "/usr/local/bin/docker compose -f /Users/benjaminadmin/Projekte/brea
---
## OCR Overlay — Alternative Pipelines
**URL:** https://macmini:3002/ai/ocr-overlay
Neben der vollen 10-Schritt-Pipeline gibt es die **OCR Overlay**-Seite mit
vereinfachten Pfaden fuer schnelle Ergebnisse. Alle drei Modi teilen die
gleichen Vorverarbeitungsschritte (Orient → Deskew → Dewarp → Crop).
### Modus-Uebersicht
| Modus | Schritte | Engine | Endpoint | Beschreibung |
|-------|----------|--------|----------|--------------|
| **Pipeline** | 7 | Tesseract | `/words` (SSE) | Volle Pipeline: Zeilen + Woerter + Overlay |
| **Paddle Direct** | 5 | PaddleOCR | `/paddle-direct` | PaddleOCR ersetzt Zeilen + Woerter + Overlay |
| **Kombi** | 5 | PaddleOCR + Tesseract | `/paddle-kombi` | Beide Engines, Ergebnisse gemittelt |
### Flussdiagramm
```
┌──────────────────────────────────────────────────────────────┐
│ GEMEINSAME VORVERARBEITUNG (alle 3 Modi) │
│ │
│ Schritt 1: Orientierung │
│ Schritt 2: Deskew │
│ Schritt 3: Dewarp │
│ Schritt 4: Crop │
└──────────────────┬────────────────────┬───────────────────────┘
│ │
┌───────────┼────────────────────┼────────────────┐
▼ ▼ ▼ ▼
PIPELINE PADDLE DIRECT KOMBI-MODUS
(7 Schritte) (5 Schritte) (5 Schritte)
│ │ │
Zeilen- PaddleOCR PaddleOCR
erkennung word_boxes + Tesseract
│ │ parallel
Woerter- build_grid_ │
erkennung from_words() _merge_paddle_
│ │ tesseract()
Overlay Overlay │
│ │ build_grid_
▼ ▼ from_words()
Ergebnis Ergebnis │
Overlay
Ergebnis
```
### Paddle Direct
PaddleOCR laeuft auf dem vorverarbeiteten Bild und erkennt Woerter direkt.
**Endpoint:** `POST /api/v1/ocr-pipeline/sessions/{id}/paddle-direct`
**Ablauf:**
1. Cropped/dewarped Bild laden (Prioritaet: cropped > dewarped > original)
2. `ocr_region_paddle(img_bgr, region=None)` aufrufen
3. `build_grid_from_words(word_dicts, img_w, img_h)` fuer Grid-Erstellung
4. Cells mit `ocr_engine="paddle_direct"` taggen
5. In DB speichern (`current_step=8`)
**Frontend:** `PaddleDirectStep.tsx` — wiederverwendbare Komponente mit konfigurierbaren Props.
### Kombi-Modus (PaddleOCR + Tesseract)
!!! info "Motivation"
PaddleOCR liefert gute Texterkennung, positioniert Woerter aber manchmal falsch
(z.B. `!Betonung` als ein Wort, Bullet Points nicht erkannt). Tesseract erkennt
Sonderzeichen besser und liefert feinere Word-Level-Boxen. Der Kombi-Modus
nutzt beide Engines und mittelt die Koordinaten.
**Endpoint:** `POST /api/v1/ocr-pipeline/sessions/{id}/paddle-kombi`
**Ablauf:**
1. Cropped/dewarped Bild laden
2. **Parallel** beide Engines aufrufen:
- `ocr_region_paddle(img_bgr, region=None)` → `paddle_words`
- `pytesseract.image_to_data(pil_img, lang='eng+deu', config='--psm 6 --oem 3')` → `tess_words`
3. **Merge:** `_merge_paddle_tesseract(paddle_words, tess_words)`
4. `build_grid_from_words(merged_words, img_w, img_h)` fuer Grid
5. Cells mit `ocr_engine="kombi"` taggen
6. In DB speichern
#### Merge-Algorithmus
```mermaid
flowchart TD
A[Paddle-Wort] --> B{Tesseract-Match<br/>IoU > 0.3?}
B -->|Ja| C[Koordinaten mitteln<br/>gewichtet nach Confidence]
B -->|Nein| D[Paddle-Wort behalten]
E[Ungematchte<br/>Tesseract-Woerter] --> F{Confidence >= 40?}
F -->|Ja| G[Hinzufuegen<br/>Bullet Points, Symbole]
F -->|Nein| H[Verwerfen]
```
**Koordinaten-Mittelung:**
```
merged_left = (paddle_left × paddle_conf + tess_left × tess_conf) / (paddle_conf + tess_conf)
```
Gleiches Prinzip fuer `top`, `width`, `height`. Der Text kommt immer von PaddleOCR (bessere Texterkennung).
#### Dateien
| Datei | Aenderung |
|-------|-----------|
| `ocr_pipeline_api.py` | `_box_iou()`, `_merge_paddle_tesseract()`, `/paddle-kombi` Endpoint |
| `admin-lehrer/.../ocr-overlay/types.ts` | `KOMBI_STEPS` Konstante |
| `admin-lehrer/.../PaddleDirectStep.tsx` | Wiederverwendbar mit `endpoint`/`engineKey` Props |
| `admin-lehrer/.../ocr-overlay/page.tsx` | 3er-Toggle: Pipeline / Paddle Direct / Kombi |
#### Tests
```bash
cd klausur-service/backend && pytest tests/test_paddle_kombi.py -v
```
| Testklasse | Tests | Beschreibung |
|------------|-------|--------------|
| `TestBoxIoU` | 6 | IoU-Berechnung: identisch, kein Overlap, teilweise, enthalten, Kante, Null-Flaeche |
| `TestMergePaddleTesseract` | 10 | Merge: Match-Averaging, kein Match, Low-Conf-Drop, leer, IoU-Schwelle, Text-Praeferenz, Zero-Conf |
| `TestMergePaddleTesseractBulletPoints` | 2 | Bullet-Points und Sonderzeichen von Tesseract |
---
## Aenderungshistorie
| Datum | Version | Aenderung |
|-------|---------|----------|
| 2026-03-12 | 4.5.0 | Kombi-Modus (PaddleOCR + Tesseract): Beide Engines laufen parallel, Koordinaten werden IoU-basiert gematcht und confidence-gewichtet gemittelt. Ungematchte Tesseract-Woerter (Bullets, Symbole) werden hinzugefuegt. 3er-Toggle in OCR Overlay. |
| 2026-03-12 | 4.4.0 | PaddleOCR Remote-Engine (`engine=paddle`): PP-OCRv5 Latin auf Hetzner x86_64. Neuer Microservice (`paddleocr-service/`), HTTP-Client (`paddleocr_remote.py`), Frontend-Dropdown-Option. Nutzt words_first Grid-Methode. |
| 2026-03-12 | 4.3.0 | Words-First Grid Builder (`cv_words_first.py`): Bottom-up-Algorithmus clustert Tesseract word_boxes direkt zu Spalten/Zeilen/Zellen. Neuer `grid_method` Parameter im `/words` Endpoint. Frontend-Toggle in StepWordRecognition. |
| 2026-03-10 | 4.2.0 | Rekonstruktion: Overlay-Modus mit Pixel-Wortpositionierung, 180°-Rotation, Sub-Session-Merging, usePixelWordPositions Hook, Box-Boundary-Schutz (box_ranges_inner) |

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@@ -0,0 +1,213 @@
"""Tests for the Kombi-Modus merge algorithm (_box_iou, _merge_paddle_tesseract).
These functions live in ocr_pipeline_api.py and merge PaddleOCR + Tesseract
word boxes by IoU matching and confidence-weighted coordinate averaging.
"""
import pytest
import sys
import os
# Add backend to path so we can import from ocr_pipeline_api
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
from ocr_pipeline_api import _box_iou, _merge_paddle_tesseract
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
def _word(text: str, left: int, top: int, width: int = 60, height: int = 20, conf: int = 80):
"""Create a synthetic word dict."""
return {
"text": text,
"left": left,
"top": top,
"width": width,
"height": height,
"conf": conf,
}
# ---------------------------------------------------------------------------
# _box_iou
# ---------------------------------------------------------------------------
class TestBoxIoU:
def test_identical_boxes(self):
"""Identical boxes have IoU = 1.0."""
a = _word("hello", 10, 10, 100, 20)
assert _box_iou(a, a) == pytest.approx(1.0)
def test_no_overlap(self):
"""Non-overlapping boxes have IoU = 0.0."""
a = _word("a", 0, 0, 50, 20)
b = _word("b", 200, 200, 50, 20)
assert _box_iou(a, b) == 0.0
def test_partial_overlap(self):
"""Partially overlapping boxes have 0 < IoU < 1."""
a = _word("a", 0, 0, 100, 20)
b = _word("b", 50, 0, 100, 20)
# Intersection: x=[50,100], y=[0,20] → 50×20 = 1000
# Union: 100×20 + 100×20 - 1000 = 3000
assert _box_iou(a, b) == pytest.approx(1000 / 3000, abs=0.01)
def test_contained_box(self):
"""Small box inside large box."""
big = _word("big", 0, 0, 200, 40)
small = _word("small", 50, 10, 30, 10)
# Intersection = 30×10 = 300, Union = 200×40 + 30×10 - 300 = 8000
assert _box_iou(big, small) == pytest.approx(300 / 8000, abs=0.01)
def test_touching_edges(self):
"""Boxes that share an edge but don't overlap have IoU = 0."""
a = _word("a", 0, 0, 50, 20)
b = _word("b", 50, 0, 50, 20)
assert _box_iou(a, b) == 0.0
def test_zero_area_box(self):
"""Zero-area box returns IoU = 0."""
a = _word("a", 10, 10, 0, 0)
b = _word("b", 10, 10, 50, 20)
assert _box_iou(a, b) == 0.0
# ---------------------------------------------------------------------------
# _merge_paddle_tesseract
# ---------------------------------------------------------------------------
class TestMergePaddleTesseract:
def test_perfect_match_averages_coords(self):
"""When paddle and tesseract have the same word at same position,
coordinates are averaged by confidence."""
pw = [_word("hello", 100, 50, 80, 20, conf=90)]
tw = [_word("hello", 110, 55, 70, 18, conf=60)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 1
m = merged[0]
assert m["text"] == "hello" # Paddle text preferred
# Weighted avg: (100*90 + 110*60) / 150 = 15600/150 = 104
assert m["left"] == 104
assert m["conf"] == 90 # max(90, 60)
def test_no_match_keeps_both(self):
"""Non-overlapping words: both kept."""
pw = [_word("hello", 10, 10)]
tw = [_word("bullet", 500, 500, conf=50)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 2
texts = {m["text"] for m in merged}
assert texts == {"hello", "bullet"}
def test_low_conf_tesseract_dropped(self):
"""Unmatched Tesseract words with conf < 40 are dropped."""
pw = [_word("hello", 10, 10)]
tw = [_word("noise", 500, 500, conf=20)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 1
assert merged[0]["text"] == "hello"
def test_empty_paddle(self):
"""Only Tesseract words with sufficient confidence are kept."""
pw = []
tw = [
_word("bullet", 10, 10, conf=80),
_word("noise", 200, 200, conf=10),
]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 1
assert merged[0]["text"] == "bullet"
def test_empty_tesseract(self):
"""All Paddle words kept when Tesseract is empty."""
pw = [_word("a", 10, 10), _word("b", 200, 10)]
tw = []
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 2
def test_both_empty(self):
"""Empty inputs return empty list."""
assert _merge_paddle_tesseract([], []) == []
def test_one_to_one_matching(self):
"""Each Tesseract word matches at most one Paddle word."""
# Two paddle words at different X positions, one tesseract word overlaps first
pw = [
_word("cat", 10, 10, 60, 20, conf=80),
_word("dog", 200, 10, 60, 20, conf=80),
]
tw = [_word("cat", 15, 12, 55, 18, conf=70)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 2 # cat (merged) + dog (unmatched paddle)
def test_iou_threshold(self):
"""Match requires IoU > 0.3, not just any overlap."""
pw = [_word("hello", 0, 0, 100, 20, conf=80)]
# Tiny overlap — IoU well below 0.3
tw = [_word("world", 95, 0, 100, 20, conf=70)]
# Intersection: x=[95,100]=5px width, y=[0,20]=20px → 100
# Union: 2000 + 2000 - 100 = 3900 → IoU ≈ 0.026
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 2 # No match, both kept separately
def test_paddle_text_preferred(self):
"""Merged word uses Paddle's text, not Tesseract's."""
pw = [_word("Betonung", 100, 50, 80, 20, conf=85)]
tw = [_word("Betonung!", 100, 50, 80, 20, conf=60)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 1
assert merged[0]["text"] == "Betonung"
def test_confidence_weighted_positions(self):
"""Equal confidence → simple average of coordinates."""
# Boxes must overlap enough for IoU > 0.3
pw = [_word("x", 100, 200, 60, 20, conf=50)]
tw = [_word("x", 110, 200, 60, 20, conf=50)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 1
m = merged[0]
assert m["left"] == 105 # (100+110)/2
assert m["top"] == 200 # (200+200)/2
assert m["width"] == 60 # (60+60)/2
assert m["height"] == 20 # (20+20)/2
def test_zero_confidence_no_division_error(self):
"""Words with conf=0 don't cause division by zero."""
pw = [_word("a", 100, 50, 80, 20, conf=0)]
tw = [_word("a", 100, 50, 80, 20, conf=0)]
merged = _merge_paddle_tesseract(pw, tw)
assert len(merged) == 1 # Should not raise
class TestMergePaddleTesseractBulletPoints:
"""Test the key use case: Tesseract catches bullet points / symbols
that PaddleOCR misses or merges with adjacent text."""
def test_bullet_added_from_tesseract(self):
"""A bullet character recognized by Tesseract but not Paddle is added."""
pw = [_word("Betonung", 60, 10, 80, 20)]
tw = [
_word("", 10, 10, 15, 15, conf=65), # bullet
_word("Betonung", 60, 10, 80, 20, conf=50), # overlaps paddle
]
merged = _merge_paddle_tesseract(pw, tw)
texts = [m["text"] for m in merged]
assert "" in texts
assert "Betonung" in texts
assert len(merged) == 2
def test_exclamation_added_from_tesseract(self):
"""An exclamation mark recognized separately by Tesseract is added."""
pw = [_word("important", 60, 10, 100, 20)]
tw = [
_word("!", 40, 10, 12, 20, conf=70),
_word("important", 60, 10, 100, 20, conf=55),
]
merged = _merge_paddle_tesseract(pw, tw)
texts = [m["text"] for m in merged]
assert "!" in texts
assert len(merged) == 2