libs/film/eval/interpolator_test.py

# Copyright 2022 Google LLC

# 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

#     https://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.
# ==============================================================================
r"""A test script for mid frame interpolation from two input frames.

Usage example:
 python3 -m frame_interpolation.eval.interpolator_test \
   --frame1 <filepath of the first frame> \
   --frame2 <filepath of the second frame> \
   --model_path <The filepath of the TF2 saved model to use>

The output is saved to <the directory of the input frames>/output_frame.png. If
`--output_frame` filepath is provided, it will be used instead.
"""
import os
from typing import Sequence

from . import interpolator as interpolator_lib
from . import util
from absl import app
from absl import flags
import numpy as np

# Controls TF_CCP log level.
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '1'


_FRAME1 = flags.DEFINE_string(
    name='frame1',
    default=None,
    help='The filepath of the first input frame.',
    required=True)
_FRAME2 = flags.DEFINE_string(
    name='frame2',
    default=None,
    help='The filepath of the second input frame.',
    required=True)
_MODEL_PATH = flags.DEFINE_string(
    name='model_path',
    default=None,
    help='The path of the TF2 saved model to use.')
_OUTPUT_FRAME = flags.DEFINE_string(
    name='output_frame',
    default=None,
    help='The output filepath of the interpolated mid-frame.')
_ALIGN = flags.DEFINE_integer(
    name='align',
    default=64,
    help='If >1, pad the input size so it is evenly divisible by this value.')
_BLOCK_HEIGHT = flags.DEFINE_integer(
    name='block_height',
    default=1,
    help='An int >= 1, number of patches along height, '
    'patch_height = height//block_height, should be evenly divisible.')
_BLOCK_WIDTH = flags.DEFINE_integer(
    name='block_width',
    default=1,
    help='An int >= 1, number of patches along width, '
    'patch_width = width//block_width, should be evenly divisible.')


def _run_interpolator() -> None:
  """Writes interpolated mid frame from a given two input frame filepaths."""

  interpolator = interpolator_lib.Interpolator(
      model_path=_MODEL_PATH.value,
      align=_ALIGN.value,
      block_shape=[_BLOCK_HEIGHT.value, _BLOCK_WIDTH.value])

  # First batched image.
  image_1 = util.read_image(_FRAME1.value)
  image_batch_1 = np.expand_dims(image_1, axis=0)

  # Second batched image.
  image_2 = util.read_image(_FRAME2.value)
  image_batch_2 = np.expand_dims(image_2, axis=0)

  # Batched time.
  batch_dt = np.full(shape=(1,), fill_value=0.5, dtype=np.float32)

  # Invoke the model for one mid-frame interpolation.
  mid_frame = interpolator(image_batch_1, image_batch_2, batch_dt)[0]

  # Write interpolated mid-frame.
  mid_frame_filepath = _OUTPUT_FRAME.value
  if not mid_frame_filepath:
    mid_frame_filepath = f'{os.path.dirname(_FRAME1.value)}/output_frame.png'
  util.write_image(mid_frame_filepath, mid_frame)


def main(argv: Sequence[str]) -> None:
  if len(argv) > 1:
    raise app.UsageError('Too many command-line arguments.')
  _run_interpolator()


if __name__ == '__main__':
  app.run(main)