mirror of
https://github.com/RapidAI/RapidOCR.git
synced 2026-11-11 05:20:49 +08:00
SWHL
fd520ffdad
* fix(rapidocr_onnxruntime): Fixed padding_h variable before assignment * feat(rapidocr_onnxruntime): Add resize function * feat(rapidocr_onnxruntime): Add limit of max_side_len and min_side_len * tests: Add __init__
56 lines
1.7 KiB
Python
56 lines
1.7 KiB
Python
# -*- encoding: utf-8 -*-
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# @Author: SWHL
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# @Contact: liekkaskono@163.com
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import importlib
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import sys
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from pathlib import Path
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from typing import Union
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import requests
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import yaml
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from tqdm import tqdm
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class BaseModule:
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def __init__(self, package_name: str = "rapidocr_onnxruntime"):
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self.package_name = package_name
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self.root_dir = Path(__file__).resolve().parent.parent
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self.package_dir = self.root_dir / self.package_name
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self.tests_dir = self.root_dir / "tests"
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sys.path.append(str(self.root_dir))
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sys.path.append(str(self.package_dir))
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def init_module(self, module_name: str, class_name: str = None):
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if class_name is None:
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module_part = importlib.import_module(f"{self.package_name}")
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return module_part
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module_part = importlib.import_module(f"{self.package_name}.{module_name}")
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return getattr(module_part, class_name)
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@staticmethod
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def read_yaml(yaml_path: str):
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with open(yaml_path, "rb") as f:
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data = yaml.load(f, Loader=yaml.Loader)
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return data
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def download_file(url: str, save_path: Union[str, Path]):
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response = requests.get(url, stream=True, timeout=60)
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status_code = response.status_code
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if status_code != 200:
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raise DownloadModelError("Something went wrong while downloading models")
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total_size_in_bytes = int(response.headers.get("content-length", 1))
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block_size = 1024 # 1 Kibibyte
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with tqdm(total=total_size_in_bytes, unit="iB", unit_scale=True) as pb:
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with open(save_path, "wb") as file:
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for data in response.iter_content(block_size):
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pb.update(len(data))
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file.write(data)
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class DownloadModelError(Exception):
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pass
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