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temporal_transforms.py
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temporal_transforms.py
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import random
import math
class LoopPadding(object):
def __init__(self, size, downsample):
self.size = size
self.downsample = downsample
def __call__(self, frame_indices):
vid_duration = len(frame_indices)
clip_duration = self.size * self.downsample
out = frame_indices
for index in out:
if len(out) >= clip_duration:
break
out.append(index)
selected_frames = [out[i] for i in range(0, clip_duration, self.downsample)]
return out
class TemporalBeginCrop(object):
"""Temporally crop the given frame indices at a beginning.
If the number of frames is less than the size,
loop the indices as many times as necessary to satisfy the size.
Args:
size (int): Desired output size of the crop.
"""
def __init__(self, size, downsample):
self.size = size
self.downsample = downsample
def __call__(self, frame_indices):
vid_duration = len(frame_indices)
clip_duration = self.size * self.downsample
out = frame_indices[:clip_duration]
for index in out:
if len(out) >= clip_duration:
break
out.append(index)
selected_frames = [out[i] for i in range(0, clip_duration, self.downsample)]
return selected_frames
class TemporalCenterCrop(object):
"""Temporally crop the given frame indices at a center.
If the number of frames is less than the size,
loop the indices as many times as necessary to satisfy the size.
Args:
size (int): Desired output size of the crop.
"""
def __init__(self, size, downsample):
self.size = size
self.downsample = downsample
def __call__(self, frame_indices):
"""
Args:
frame_indices (list): frame indices to be cropped.
Returns:
list: Cropped frame indices.
"""
vid_duration = len(frame_indices)
clip_duration = self.size * self.downsample
center_index = len(frame_indices) // 2
begin_index = max(0, center_index - (clip_duration // 2))
end_index = min(begin_index + clip_duration, vid_duration)
out = frame_indices[begin_index:end_index]
for index in out:
if len(out) >= clip_duration:
break
out.append(index)
selected_frames = [out[i] for i in range(0, clip_duration, self.downsample)]
return selected_frames
class TemporalRandomCrop(object):
"""Temporally crop the given frame indices at a random location.
If the number of frames is less than the size,
loop the indices as many times as necessary to satisfy the size.
Args:
size (int): Desired output size of the crop.
"""
def __init__(self, size, downsample):
self.size = size
self.downsample = downsample
def __call__(self, frame_indices):
"""
Args:
frame_indices (list): frame indices to be cropped.
Returns:
list: Cropped frame indices.
"""
vid_duration = len(frame_indices)
clip_duration = self.size * self.downsample
rand_end = max(0, vid_duration - clip_duration - 1)
begin_index = random.randint(0, rand_end)
end_index = min(begin_index + clip_duration, vid_duration)
out = frame_indices[begin_index:end_index]
for index in out:
if len(out) >= clip_duration:
break
out.append(index)
selected_frames = [out[i] for i in range(0, clip_duration, self.downsample)]
return selected_frames