41 lines
1.3 KiB
Python
41 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__ = ["binarize_output"]
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def binarize_output(image, threshold=None):
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if threshold is not None:
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image = tf.cast(image > threshold, dtype=tf.uint8)
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image = image * 255
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else:
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image = tf.cast(image * 255, dtype=tf.uint8)
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encoded_image = tf.image.encode_jpeg(image, format='grayscale', quality=100)
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if image.get_shape().rank == 3:
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image = tf.expand_dims(image, axis=0)
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return image, encoded_image
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