# !/usr/bin/env python
# -*- coding: utf-8 -*-

# ==============================================================================
#
# Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# ==============================================================================

import tensorflow as tf

__all__ = ["binarize_output"]


def binarize_output(image, threshold=None):

    if threshold is not None:
        image = tf.cast(image > threshold, dtype=tf.uint8)
        image = image * 255
    else:
        image = tf.cast(image * 255, dtype=tf.uint8)

    encoded_image = tf.image.encode_jpeg(image, format='grayscale', quality=100)

    if image.get_shape().rank == 3:
        image = tf.expand_dims(image, axis=0)

    return image, encoded_image