47 lines
1.3 KiB
Python
47 lines
1.3 KiB
Python
import toml
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from loguru import logger
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import logging
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import zmq
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from paddleocr import PaddleOCR
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import cv2
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logging.getLogger('paddleocr').setLevel(logging.CRITICAL)
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if __name__ == "__main__":
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cfg = toml.load('../cfg_infer_server.toml')
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# 配置日志输出
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logger.add(cfg['debug']['logger_filename'], format=cfg['debug']['logger_format'], retention = 5, level="INFO")
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# 连接摄像头
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cap = cv2.VideoCapture(4)
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cap.set(cv2.CAP_PROP_FRAME_WIDTH, 320)
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cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 240)
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# 初始化 paddle 推理器
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predictor = PaddleOCR(use_angle_cls=False, use_gpu=True)
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logger.info("ocr model load success")
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# 初始化 server
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context = zmq.Context()
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# 启动 server
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socket = context.socket(zmq.REP)
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socket.bind(f"tcp://*:{cfg['server']['ocr_infer_port']}")
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while True:
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socket.recv_string("")
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ret, frame = cap.read()
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try:
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if ret:
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result = predictor.ocr(frame)
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response = {'code': 0, 'data': result}
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socket.send_pyobj(response)
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else:
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socket.send_pyobj({'code': -1, 'data': None})
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except:
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socket.send_pyobj({'code': -1, 'data': None})
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if cv2.waitKey(1) == 27:
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break
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logger.info("ocr infer server exit")
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