You've already forked DataMate
41 lines
1.4 KiB
Python
41 lines
1.4 KiB
Python
# -- encoding: utf-8 --
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"""
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Description:
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Create: 2025/01/16
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"""
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import time
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from typing import List, Dict, Any
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from loguru import logger
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import cv2
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from datamate.common.utils import bytes_transform
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from datamate.core.base_op import Mapper
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class ImgResize(Mapper):
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def __init__(self, *args, **kwargs):
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super(ImgResize, self).__init__(*args, **kwargs)
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self._target_size = kwargs.get("targetSize", [256, 256])
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@classmethod
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def _img_resize(cls, data: List[float], target_size: List[int]) -> List[float]:
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"""将图片缩放到指定尺寸大小"""
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target_width = max(min(target_size[0], 4096), 1)
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target_height = max(min(target_size[1], 4096), 1)
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resized_img = cv2.resize(data, (target_width, target_height), interpolation=cv2.INTER_AREA)
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return resized_img
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def execute(self, sample: Dict[str, Any]):
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start = time.time()
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file_name = sample[self.filename_key]
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file_type = "." + sample[self.filetype_key]
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img_bytes = sample[self.data_key]
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if img_bytes:
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data = bytes_transform.bytes_to_numpy(img_bytes)
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resized_img = self._img_resize(data, self._target_size)
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sample[self.data_key] = bytes_transform.numpy_to_bytes(resized_img, file_type)
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logger.info(f"fileName: {file_name}, method: ImgResize costs {time.time() - start:6f} s")
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return sample
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