mirror of
https://github.com/RapidAI/RapidOCR.git
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48 lines
1.2 KiB
Python
48 lines
1.2 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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from pathlib import Path
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from tqdm import tqdm
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import sys
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import time
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cur_dir = Path(__file__).resolve().parent
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sys.path.append(str(cur_dir.parent.parent))
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import cv2
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from rapidocr_onnxruntime import RapidOCR
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("--yaml_path", type=str, default="config.yaml")
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args = parser.parse_args()
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yaml_path = cur_dir / args.yaml_path
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rapid_ocr = RapidOCR(yaml_path)
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image_dir = cur_dir / "test_images_benchmark"
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if not image_dir.exists():
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raise FileNotFoundError(f"{image_dir} does not exits!!")
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image_list = list(image_dir.iterdir())
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cost_time_list = []
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for image_path in tqdm(image_list, desc="Test"):
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img = cv2.imread(str(image_path))
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start_time = time.time()
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result = rapid_ocr(img)
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elapse = time.time() - start_time
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cost_time_list.append(elapse)
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total_time = sum(cost_time_list)
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avg_time = total_time / len(cost_time_list)
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print(
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f"Total Files: {len(image_list)}, "
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f"Total Time: {total_time:.5f}, "
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f"Average Time: {avg_time:.5f}"
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)
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