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fix: extend initial Tesseract scan to full image width for word detection

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content_roi was cropped to [left_x:right_x] — the detected content boundary.
Words at the right edge of the last column (beyond right_x) were never
found in the initial scan, so they remained missing even after the column
geometry was extended to full image width (w).

Fix: crop to [left_x:w] so all words including those near the right margin
are detected and assigned correctly to the last column.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-03-03 17:08:03 +01:00
parent ab2423bd10
commit f3d61a9394
1 changed files with 4 additions and 1 deletions
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5
klausur-service/backend/cv_vocab_pipeline.py
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@@ -1460,7 +1460,10 @@ def detect_column_geometry(ocr_img: np.ndarray, dewarped_bgr: np.ndarray) -> Opt
f"y=[{top_y}..{bottom_y}] ({content_h}px)") f"y=[{top_y}..{bottom_y}] ({content_h}px)")
# --- Step 2: Get word bounding boxes from Tesseract --- # --- Step 2: Get word bounding boxes from Tesseract ---
content_roi = dewarped_bgr[top_y:bottom_y, left_x:right_x] # Crop from left_x to full image width (not right_x) so words at the right
# edge of the last column are included even if they extend past the detected
# content boundary (right_x).
content_roi = dewarped_bgr[top_y:bottom_y, left_x:w]
pil_img = Image.fromarray(cv2.cvtColor(content_roi, cv2.COLOR_BGR2RGB)) pil_img = Image.fromarray(cv2.cvtColor(content_roi, cv2.COLOR_BGR2RGB))
try: try: