fix: Paddle Direct keeps preprocessing (orient/deskew/dewarp/crop)
Some checks failed
CI / nodejs-lint (push) Has been cancelled
CI / go-lint (push) Has been cancelled
CI / python-lint (push) Has been cancelled
CI / test-go-school (push) Has been cancelled
CI / test-go-edu-search (push) Has been cancelled
CI / test-python-klausur (push) Has been cancelled
CI / test-python-agent-core (push) Has been cancelled
CI / test-nodejs-website (push) Has been cancelled

Uses the cropped/dewarped image instead of the original so the overlay
shows the correctly oriented page. 5 steps instead of 2.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-03-12 16:56:18 +01:00
parent 90c1efd9b0
commit c743a38eaf
3 changed files with 30 additions and 15 deletions

View File

@@ -2511,17 +2511,23 @@ async def _word_stream_generator(
@router.post("/sessions/{session_id}/paddle-direct")
async def paddle_direct(session_id: str):
"""Run PaddleOCR on the original image and build a word grid directly.
"""Run PaddleOCR on the preprocessed image and build a word grid directly.
Skips deskew/dewarp/crop/rows — just Upload → PaddleOCR → Overlay.
The original image is stored as cropped_png so OverlayReconstruction
Expects orientation/deskew/dewarp/crop to be done already.
Uses the cropped image (falls back to dewarped, then original).
The used image is stored as cropped_png so OverlayReconstruction
can display it as the background.
"""
original_png = await get_session_image(session_id, "original")
if not original_png:
raise HTTPException(status_code=404, detail="No original image found for this session")
# Try preprocessed images first (crop > dewarp > original)
img_png = await get_session_image(session_id, "cropped")
if not img_png:
img_png = await get_session_image(session_id, "dewarped")
if not img_png:
img_png = await get_session_image(session_id, "original")
if not img_png:
raise HTTPException(status_code=404, detail="No image found for this session")
img_arr = np.frombuffer(original_png, dtype=np.uint8)
img_arr = np.frombuffer(img_png, dtype=np.uint8)
img_bgr = cv2.imdecode(img_arr, cv2.IMREAD_COLOR)
if img_bgr is None:
raise HTTPException(status_code=400, detail="Failed to decode original image")
@@ -2562,11 +2568,11 @@ async def paddle_direct(session_id: str):
},
}
# Store original image as cropped_png so OverlayReconstruction shows it
# Store preprocessed image as cropped_png so OverlayReconstruction shows it
await update_session_db(
session_id,
word_result=word_result,
cropped_png=original_png,
cropped_png=img_png,
current_step=8,
)