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feat(ocr): force max image size 1920 x 1920
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@ -11,6 +11,9 @@ from rapidocr_onnxruntime import RapidOCR
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from concurrent.futures import ThreadPoolExecutor
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from functools import partial
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import yaml
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import io
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MAX_THUMBNAIL_SIZE = (1920, 1920)
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from fastapi import APIRouter, Request, HTTPException
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from memos.schemas import Entity, MetadataType
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@ -35,9 +38,11 @@ logger = logging.getLogger(__name__)
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def image2base64(img_path):
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try:
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with Image.open(img_path) as img:
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img.convert("RGB") # Check if image is not broken
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with open(img_path, "rb") as image_file:
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encoded_string = base64.b64encode(image_file.read()).decode("utf-8")
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img = img.convert("RGB")
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img.thumbnail(MAX_THUMBNAIL_SIZE)
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buffered = io.BytesIO()
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img.save(buffered, format="JPEG")
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encoded_string = base64.b64encode(buffered.getvalue()).decode("utf-8")
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return encoded_string
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except Exception as e:
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logger.error(f"Error processing image {img_path}: {str(e)}")
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@ -71,6 +76,8 @@ def convert_ocr_results(results):
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def predict_local(img_path):
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try:
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with Image.open(img_path) as img:
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img = img.convert("RGB")
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img.thumbnail(MAX_THUMBNAIL_SIZE)
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img_array = np.array(img)
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results, _ = ocr(img_array)
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return convert_ocr_results(results)
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@ -128,7 +135,6 @@ async def ocr(entity: Entity, request: Request):
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patch_url = f"{location_url}/metadata"
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ocr_result = await predict(entity.filepath)
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logger.info(ocr_result)
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if not ocr_result:
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logger.info(f"No OCR result found for file: {entity.filepath}")
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