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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):
self.size = size
def __call__(self, frame_indices):
out = frame_indices
for index in out:
if len(out) >= self.size:
break
out.append(index)
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):
self.size = size
def __call__(self, frame_indices):
out = frame_indices[:self.size]
for index in out:
if len(out) >= self.size:
break
out.append(index)
return out
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):
self.size = size
def __call__(self, frame_indices):
"""
Args:
frame_indices (list): frame indices to be cropped.
Returns:
list: Cropped frame indices.
"""
center_index = len(frame_indices) // 2
begin_index = max(0, center_index - (self.size // 2))
end_index = min(begin_index + self.size, len(frame_indices))
out = frame_indices[begin_index:end_index]
for index in out:
if len(out) >= self.size:
break
out.append(index)
return out
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):
self.size = size
def __call__(self, frame_indices):
"""
Args:
frame_indices (list): frame indices to be cropped.
Returns:
list: Cropped frame indices.
"""
rand_end = max(0, len(frame_indices) - self.size - 1)
begin_index = random.randint(0, rand_end)
end_index = min(begin_index + self.size, len(frame_indices))
out = frame_indices[begin_index:end_index]
for index in out:
if len(out) >= self.size:
break
out.append(index)
return out
class UniformRandomSample(object):
"""Sample partially from each second in the given frame indices.
If the number of frames is less than 25 (about one second),
then take the first 16 framens and the last 16 frames.
Args:
size (int): Desired output size of the crop.
end_sec (int): Video length (sec) of the clip
"""
def __init__(self, size, end_sec):
self.size = size
self.end_sec = end_sec
def __call__(self, frame_indices):
"""
Args:
frame_indices (list): frame indices to be cropped.
Returns:
list: Cropped frame indices.
"""
out = []
if len(frame_indices) < 25* self.end_sec:
out.extend(list(range(len(frame_indices)-self.size,len(frame_indices))))
else:
sample_per_sec = self.size//self.end_sec
sample_base = random.randint(0, 25-sample_per_sec-1)
for i in range(0, self.end_sec-1):
out.extend(list(range(sample_base+i*25, sample_base+i*25+sample_per_sec)))
sample_rest = self.size-len(out)
out.extend(list(range(sample_base+(self.end_sec-1)*25, sample_base+(self.end_sec-1)*25+sample_rest)))
out_idx = []
for idx in out:
out_idx.append(frame_indices[idx])
return out_idx
class UniformEndSample(object):
"""Sample partially from (END) of each second in the given frame indices.
If the number of frames is less than 25 (about one second),
then take the first 16 framens and the last 16 frames.
Args:
size (int): Desired output size of the crop.
end_sec (int): Video length (sec) of the clip
"""
def __init__(self, size, end_sec):
self.size = size
self.end_sec = end_sec
def __call__(self, frame_indices):
"""
Args:
frame_indices (list): frame indices to be cropped.
Returns:
list: Cropped frame indices.
"""
out = []
if len(frame_indices) < 25*self.end_sec:
out.extend(list(range(len(frame_indices)-self.size,len(frame_indices))))
else:
sample_per_sec = self.size//self.end_sec
sample_base = 25-sample_per_sec-1
for i in range(0, self.end_sec-1):
out.extend(list(range(sample_base+i*25, sample_base+i*25+sample_per_sec)))
sample_rest = self.size-len(out)
out.extend(list(range(sample_base+(self.end_sec-1)*25, sample_base+(self.end_sec-1)*25+sample_rest)))
out_idx = []
for idx in out:
out_idx.append(frame_indices[idx])
return out_idx
class UniformIntervalCrop(object):
def __init__(self, size, interval):
self.size = size
self.interval = interval
def __call__(self, frame_indices):
last_input = frame_indices[-1]
target = last_input
out = [last_input-self.interval+1]
while (len(out)<self.size):
out.append(out[-1]-self.interval+1)
out.reverse()
return out, [target]