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# Copyright 2016 The TensorFlow Authors. 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.
# =============================================================================
"""Tests for third_party.tensorflow.contrib.ffmpeg.decode_video_op."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os.path
import six # pylint: disable=unused-import
from tensorflow.contrib import ffmpeg
from tensorflow.python.ops import image_ops
from tensorflow.python.platform import resource_loader
from tensorflow.python.platform import test
class DecodeVideoOpTest(test.TestCase):
def _loadFileAndTest(self, filename, width, height, frames, bmp_filename,
index):
"""Loads an video file and validates the output tensor.
Args:
filename: The filename of the input file.
width: The width of the video.
height: The height of the video.
frames: The frames of the video.
bmp_filename: The filename for the bmp file.
index: Index location inside the video.
"""
with self.cached_session():
path = os.path.join(resource_loader.get_data_files_path(), 'testdata',
filename)
with open(path, 'rb') as f:
contents = f.read()
bmp_path = os.path.join(resource_loader.get_data_files_path(), 'testdata',
bmp_filename)
with open(bmp_path, 'rb') as f:
bmp_contents = f.read()
image_op = image_ops.decode_bmp(bmp_contents)
image = image_op.eval()
self.assertEqual(image.shape, (height, width, 3))
video_op = ffmpeg.decode_video(contents)
video = video_op.eval()
self.assertEqual(video.shape, (frames, height, width, 3))
self.assertAllEqual(video[index, :, :, :], image)
def testMp4(self):
self._loadFileAndTest('small.mp4', 560, 320, 166, 'small_100.bmp', 99)
if __name__ == '__main__':
test.main()
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