def interpolations_to_summary(sample_ind, interpolations, first_frame,
                              last_frame, hparams, decode_hp):
  """Converts interpolated frames into tf summaries.

  The summaries consists of:
    1. Image summary corresponding to the first frame.
    2. Image summary corresponding to the last frame.
    3. The interpolated frames as a gif summary.

  Args:
    sample_ind: int
    interpolations: Numpy array, shape=(num_interp, H, W, 3)
    first_frame: Numpy array, shape=(HWC)
    last_frame: Numpy array, shape=(HWC)
    hparams: HParams, train hparams
    decode_hp: HParams, decode hparams
  Returns:
    summaries: list of tf Summary Values.
  """
  parent_tag = "sample_%d" % sample_ind
  frame_shape = hparams.problem.frame_shape
  interp_shape = [hparams.batch_size, decode_hp.num_interp] + frame_shape
  interpolations = np.reshape(interpolations, interp_shape)
  interp_tag = "%s/interp/%s" % (parent_tag, decode_hp.channel_interp)
  if decode_hp.channel_interp == "ranked":
    interp_tag = "%s/rank_%d" % (interp_tag, decode_hp.rank_interp)
  summaries, _ = common_video.py_gif_summary(
      interp_tag, interpolations, return_summary_value=True,
      max_outputs=decode_hp.max_display_outputs,
      fps=decode_hp.frames_per_second)

  if decode_hp.save_frames:
    first_frame_summ = image_utils.image_to_tf_summary_value(
        first_frame, "%s/first" % parent_tag)
    last_frame_summ = image_utils.image_to_tf_summary_value(
        last_frame, "%s/last" % parent_tag)
    summaries.append(first_frame_summ)
    summaries.append(last_frame_summ)
  return summaries
def interpolations_to_summary ( sample_ind , interpolations , first_frame , last_frame , hparams , decode_hp ) : parent_tag = "sample_%d" % sample_ind frame_shape = hparams . problem . frame_shape interp_shape = [ hparams . batch_size , decode_hp . num_interp ] + frame_shape interpolations = np . reshape ( interpolations , interp_shape ) interp_tag = "%s/interp/%s" % ( parent_tag , decode_hp . channel_interp ) if decode_hp . channel_interp == "ranked" : interp_tag = "%s/rank_%d" % ( interp_tag , decode_hp . rank_interp ) summaries , _ = common_video . py_gif_summary ( interp_tag , interpolations , return_summary_value = True , max_outputs = decode_hp . max_display_outputs , fps = decode_hp . frames_per_second ) if decode_hp . save_frames : first_frame_summ = image_utils . image_to_tf_summary_value ( first_frame , "%s/first" % parent_tag ) last_frame_summ = image_utils . image_to_tf_summary_value ( last_frame , "%s/last" % parent_tag ) summaries . append ( first_frame_summ ) summaries . append ( last_frame_summ ) return summaries
Converts interpolated frames into tf summaries.

  The summaries consists of:
    1. Image summary corresponding to the first frame.
    2. Image summary corresponding to the last frame.
    3. The interpolated frames as a gif summary.

  Args:
    sample_ind: int
    interpolations: Numpy array, shape=(num_interp, H, W, 3)
    first_frame: Numpy array, shape=(HWC)
    last_frame: Numpy array, shape=(HWC)
    hparams: HParams, train hparams
    decode_hp: HParams, decode hparams
  Returns:
    summaries: list of tf Summary Values.