towhee
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image-crop
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50 lines
1.5 KiB
50 lines
1.5 KiB
# Copyright 2021 Zilliz. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import logging
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import cv2
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import requests
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import numpy as np
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from typing import List, Tuple
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from towhee import register
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from towhee.operator import PyOperator, OperatorFlag
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from towhee._types import Image
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log = logging.getLogger()
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@register(output_schema=['img'],
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flag=OperatorFlag.STATELESS | OperatorFlag.REUSEABLE)
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class ImageCropCV2(PyOperator):
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def __init__(self, clamp = False):
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self.clamp = clamp
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@staticmethod
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def _clamp(x, minimum, maximum):
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return max(minimum, min(x, maximum))
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def __call__(self, img: np.ndarray, bboxes: List[Tuple]):
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h, w, _ = img.shape
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res = []
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for box in bboxes:
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x1, y1, x2, y2 = box
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x1 = ImageCropCV2._clamp(x1, 0, w)
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x2 = ImageCropCV2._clamp(x2, 0, w)
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y1 = ImageCropCV2._clamp(y1, 0, h)
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y2 = ImageCropCV2._clamp(y2, 0, h)
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res.append(img[y1:y2,x1:x2,:])
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return res
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