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ignore same_on_sequence when no time dimension #200

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merged 2 commits into from
Jul 19, 2022
Merged

ignore same_on_sequence when no time dimension #200

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c203593
ignore same_on_sequence when no time dimension
jsalotti Jul 15, 2022
a1569da
remove useless elif block
jsalotti Jul 15, 2022
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10 changes: 4 additions & 6 deletions alodataset/transforms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -114,19 +114,17 @@ def __call__(self, frames: Union[Mapping[str, Frame], List[Frame], Frame], **kwa
)
n_set[key].append(result.temporal())
n_set[key] = torch.cat(n_set[key], dim=0)
# Same on all frames and same on sequence
elif same_on_frames and same_on_sequence:
# Same on all frames
elif same_on_frames:
frame_params = self.sample_params() if frame_params is None else frame_params
# print('same_on_frames.....', frame_params)
self.set_params(*frame_params)
n_set[key] = self.apply(frames[key], **kwargs)

elif not same_on_frames and same_on_sequence:
else:
# print("not same on frames")
self.set_params(*self.sample_params())
n_set[key] = self.apply(frames[key], **kwargs)
else:
raise Exception("Not handle error")

return n_set
else:
Expand Down Expand Up @@ -664,7 +662,7 @@ def sample_params(self):
def apply(self, frame: Frame):
assert frame.normalization == "01", "frame should be normalized between 0 and 1 before color modification"

frame = frame ** self.gamma
frame = frame**self.gamma
frame = frame * self.brightness
# change color by applying different coefficients to R, G, and B channels
C = frame.shape[frame.names.index("C")]
Expand Down