mirror of
https://github.com/RapidAI/RapidOCR.git
synced 2026-11-13 06:20:49 +08:00
huangbinghe
43efc5d55b
try import RapidOCR from rapidocr_onnxruntime or rapidocr_paddle or rapidocr_openvino
126 lines
3.3 KiB
Python
126 lines
3.3 KiB
Python
# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import argparse
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import base64
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import io
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import os
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import sys
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from pathlib import Path
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from typing import Dict
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import importlib.util
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import numpy as np
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import uvicorn
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from fastapi import FastAPI, Form, UploadFile
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from PIL import Image
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if importlib.util.find_spec("rapidocr_runtime"):
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from rapidocr_onnxruntime import RapidOCR
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elif importlib.util.find_spec("rapidocr_paddle"):
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from rapidocr_paddle import RapidOCR
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elif importlib.util.find_spec("rapidocr_openvino"):
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from rapidocr_openvino import RapidOCR
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else:
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raise ImportError(
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"Pleas install one of [rapidocr-runtime,rapidocr-paddle,rapidocr-openvino]"
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)
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sys.path.append(str(Path(__file__).resolve().parent.parent))
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class OCRAPIUtils:
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def __init__(self) -> None:
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# 从环境变量中读取参数
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det_model_path = os.getenv("det_model_path", None)
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cls_model_path = os.getenv("cls_model_path", None)
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rec_model_path = os.getenv("rec_model_path", None)
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self.ocr = RapidOCR(
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det_model_path=det_model_path,
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cls_model_path=cls_model_path,
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rec_model_path=rec_model_path,
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)
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def __call__(
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self, img: Image.Image, use_det=None, use_cls=None, use_rec=None, **kwargs
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) -> Dict:
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img = np.array(img)
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ocr_res, _ = self.ocr(
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img, use_det=use_det, use_cls=use_cls, use_rec=use_rec, **kwargs
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)
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if not ocr_res:
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return {}
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# 转换为字典格式: 兼容所有参数情况
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out_dict = {}
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for i, dats in enumerate(ocr_res):
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values = {}
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for dat in dats:
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if isinstance(dat, str):
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values["rec_txt"] = dat
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if isinstance(dat, np.float32):
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values["score"] = f"{dat:.4f}"
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if isinstance(dat, list):
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values["dt_boxes"] = dat
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out_dict[str(i)] = values
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return out_dict
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app = FastAPI()
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processor = OCRAPIUtils()
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@app.get("/")
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def root():
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return {"message": "Welcome to RapidOCR API Server!"}
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@app.post("/ocr")
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def ocr(
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image_file: UploadFile = None,
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image_data: str = Form(None),
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use_det: bool = Form(None),
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use_cls: bool = Form(None),
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use_rec: bool = Form(None),
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):
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if image_file:
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img = Image.open(image_file.file)
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elif image_data:
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img_bytes = str.encode(image_data)
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img_b64decode = base64.b64decode(img_bytes)
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img = Image.open(io.BytesIO(img_b64decode))
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else:
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raise ValueError(
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"When sending a post request, data or files must have a value."
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)
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ocr_res = processor(img, use_det=use_det, use_cls=use_cls, use_rec=use_rec)
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return ocr_res
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def main():
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parser = argparse.ArgumentParser("rapidocr_api")
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parser.add_argument("-ip", "--ip", type=str, default="0.0.0.0", help="IP Address")
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parser.add_argument("-p", "--port", type=int, default=9003, help="IP port")
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parser.add_argument(
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"-workers", "--workers", type=int, default=1, help="number of worker process"
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)
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args = parser.parse_args()
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uvicorn.run(
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"rapidocr_api.main:app",
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host=args.ip,
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port=args.port,
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reload=0,
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workers=args.workers,
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)
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if __name__ == "__main__":
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main()
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