38 lines
1.2 KiB
Python
38 lines
1.2 KiB
Python
# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
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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 os
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import sys
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import numpy as np
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import random
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class DistortBBox:
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def __init__(self, prob=0.5, max_scale=1, **kwargs):
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"""Random distort bbox
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"""
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self.prob = prob
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self.max_scale = max_scale
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def __call__(self, data):
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if random.random() > self.prob:
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return data
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bbox = np.array(data['bbox'])
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rnd_scale = (np.random.rand(*bbox.shape) - 0.5) * 2 * self.max_scale
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bbox = np.round(bbox + rnd_scale).astype(bbox.dtype)
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data['bbox'] = np.clip(data['bbox'], 0, 1000)
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data['bbox'] = bbox.tolist()
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sys.stdout.flush()
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return data
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