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# Copyright (C) 2021-2025, Mindee.
# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <https://opensource.org/licenses/Apache-2.0> for full license details.
from fastapi import APIRouter, Depends, File, HTTPException, UploadFile, status
from app.schemas import DetectionIn, DetectionOut
from app.utils import get_documents, resolve_geometry
from app.vision import init_predictor
from doctr.file_utils import CLASS_NAME
router = APIRouter()
@router.post("/", response_model=list[DetectionOut], status_code=status.HTTP_200_OK, summary="Perform text detection")
async def text_detection(request: DetectionIn = Depends(), files: list[UploadFile] = [File(...)]):
"""Runs docTR text detection model to analyze the input image"""
try:
predictor = init_predictor(request)
content, filenames = await get_documents(files)
except ValueError as e:
raise HTTPException(status_code=400, detail=str(e))
return [
DetectionOut(
name=filename,
geometries=[
geom[:-1].tolist() if geom.shape == (5,) else resolve_geometry(geom[:4].tolist())
for geom in doc[CLASS_NAME]
],
)
for doc, filename in zip(predictor(content), filenames)
]
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