42 lines
1.3 KiB
Python
42 lines
1.3 KiB
Python
# !/usr/bin/env python
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# -*- coding: utf-8 -*-
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# ==============================================================================
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#
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# Copyright (c) 2019, NVIDIA CORPORATION. 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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#
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# ==============================================================================
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import tensorflow as tf
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__all__ = [
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"iou_score",
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]
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def iou_score(y_pred, y_true, threshold, eps=1e-5):
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y_true = tf.cast(y_true > threshold, dtype=tf.float32)
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y_pred = tf.cast(y_pred > threshold, dtype=tf.float32)
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intersection = y_true * y_pred
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intersection = tf.reduce_sum(intersection, axis=(1, 2, 3))
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numerator = 2.0 * intersection + eps
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divisor = tf.reduce_sum(y_true, axis=(1, 2, 3)) + tf.reduce_sum(y_pred, axis=(1, 2, 3)) + eps
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return tf.reduce_mean(numerator / divisor)
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