feat(ocr-pipeline): line grouping fix + RapidOCR integration

Fix A: Use _group_words_into_lines() with adaptive Y-tolerance to
correctly order words in multi-line cells (fixes word reordering bug).

RapidOCR: Add as alternative OCR engine (PaddleOCR models on ONNX
Runtime, native ARM64). Engine selectable via dropdown in UI or
?engine= query param. Auto mode prefers RapidOCR when available.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-02-28 17:13:58 +01:00
parent 4ec7c20490
commit 45435f226f
4 changed files with 180 additions and 17 deletions

View File

@@ -22,6 +22,8 @@ export function StepWordRecognition({ sessionId, onNext, goToStep }: StepWordRec
const [activeIndex, setActiveIndex] = useState(0)
const [editedEntries, setEditedEntries] = useState<WordEntry[]>([])
const [mode, setMode] = useState<'overview' | 'labeling'>('overview')
const [ocrEngine, setOcrEngine] = useState<'auto' | 'tesseract' | 'rapid'>('auto')
const [usedEngine, setUsedEngine] = useState<string>('')
const enRef = useRef<HTMLInputElement>(null)
@@ -35,6 +37,7 @@ export function StepWordRecognition({ sessionId, onNext, goToStep }: StepWordRec
const info = await res.json()
if (info.word_result) {
setWordResult(info.word_result)
setUsedEngine(info.word_result.ocr_engine || '')
initEntries(info.word_result.entries)
return
}
@@ -54,27 +57,29 @@ export function StepWordRecognition({ sessionId, onNext, goToStep }: StepWordRec
setActiveIndex(0)
}
const runAutoDetection = useCallback(async () => {
const runAutoDetection = useCallback(async (engine?: string) => {
if (!sessionId) return
const eng = engine || ocrEngine
setDetecting(true)
setError(null)
try {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/words`, {
const res = await fetch(`${KLAUSUR_API}/api/v1/ocr-pipeline/sessions/${sessionId}/words?engine=${eng}`, {
method: 'POST',
})
if (!res.ok) {
const err = await res.json().catch(() => ({ detail: res.statusText }))
throw new Error(err.detail || 'Worterkennung fehlgeschlagen')
}
const data: WordResult = await res.json()
const data = await res.json()
setWordResult(data)
setUsedEngine(data.ocr_engine || eng)
initEntries(data.entries)
} catch (e) {
setError(e instanceof Error ? e.message : 'Unbekannter Fehler')
} finally {
setDetecting(false)
}
}, [sessionId])
}, [sessionId, ocrEngine])
const handleGroundTruth = useCallback(async (isCorrect: boolean) => {
if (!sessionId) return
@@ -512,6 +517,17 @@ export function StepWordRecognition({ sessionId, onNext, goToStep }: StepWordRec
{wordResult && (
<div className="bg-white dark:bg-gray-800 rounded-xl border border-gray-200 dark:border-gray-700 p-4 space-y-3">
<div className="flex items-center gap-3 flex-wrap">
{/* OCR Engine selector */}
<select
value={ocrEngine}
onChange={(e) => setOcrEngine(e.target.value as 'auto' | 'tesseract' | 'rapid')}
className="px-2 py-1.5 text-xs border rounded-lg dark:bg-gray-700 dark:border-gray-600"
>
<option value="auto">Auto (RapidOCR wenn verfuegbar)</option>
<option value="rapid">RapidOCR (ONNX)</option>
<option value="tesseract">Tesseract</option>
</select>
<button
onClick={() => runAutoDetection()}
disabled={detecting}
@@ -520,6 +536,17 @@ export function StepWordRecognition({ sessionId, onNext, goToStep }: StepWordRec
Erneut erkennen
</button>
{/* Show which engine was used */}
{usedEngine && (
<span className={`px-2 py-0.5 rounded text-[10px] uppercase font-semibold ${
usedEngine === 'rapid'
? 'bg-purple-100 dark:bg-purple-900/30 text-purple-700 dark:text-purple-300'
: 'bg-gray-100 dark:bg-gray-700 text-gray-600 dark:text-gray-400'
}`}>
{usedEngine}
</span>
)}
<button
onClick={() => goToStep(3)}
className="px-3 py-1.5 text-xs border rounded-lg hover:bg-gray-50 dark:hover:bg-gray-700 dark:border-gray-600 text-orange-600 dark:text-orange-400 border-orange-300 dark:border-orange-700"