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fix func declaration #422

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fix func declaration #422

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8039c08
fix func declaration
Zehui-Lin May 28, 2021
59269a1
Merge branch 'master' into master
Zehui-Lin Jun 3, 2021
2226f8a
minor
Zehui-Lin Jun 8, 2021
2d3d07f
Merge branch 'master' into master
Zehui-Lin Jun 8, 2021
482ecf6
Merge branch 'master' into master
Zehui-Lin Jun 16, 2021
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12 changes: 6 additions & 6 deletions slowfast/datasets/transform.py
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Original file line number Diff line number Diff line change
Expand Up @@ -46,7 +46,7 @@ def random_short_side_scale_jitter(
corresponding boxes.
Args:
images (tensor): images to perform scale jitter. Dimension is
`num frames` x `channel` x `height` x `width`.
`channel` x `num frames` x `height` x `width`.
min_size (int): the minimal size to scale the frames.
max_size (int): the maximal size to scale the frames.
boxes (ndarray): optional. Corresponding boxes to images.
Expand All @@ -56,7 +56,7 @@ def random_short_side_scale_jitter(
scale. If False, take a uniform sample from [min_scale, max_scale].
Returns:
(tensor): the scaled images with dimension of
`num frames` x `channel` x `new height` x `new width`.
`channel` x `num frames` x `new height` x `new width`.
(ndarray or None): the scaled boxes with dimension of
`num boxes` x 4.
"""
Expand Down Expand Up @@ -119,13 +119,13 @@ def random_crop(images, size, boxes=None):
Perform random spatial crop on the given images and corresponding boxes.
Args:
images (tensor): images to perform random crop. The dimension is
`num frames` x `channel` x `height` x `width`.
`channel` x `num frames` x `height` x `width`.
size (int): the size of height and width to crop on the image.
boxes (ndarray or None): optional. Corresponding boxes to images.
Dimension is `num boxes` x 4.
Returns:
cropped (tensor): cropped images with dimension of
`num frames` x `channel` x `size` x `size`.
`channel` x `num frames` x `size` x `size`.
cropped_boxes (ndarray or None): the cropped boxes with dimension of
`num boxes` x 4.
"""
Expand Down Expand Up @@ -156,12 +156,12 @@ def horizontal_flip(prob, images, boxes=None):
Args:
prob (float): probility to flip the images.
images (tensor): images to perform horizontal flip, the dimension is
`num frames` x `channel` x `height` x `width`.
`channel` x `num frames` x `height` x `width`.
boxes (ndarray or None): optional. Corresponding boxes to images.
Dimension is `num boxes` x 4.
Returns:
images (tensor): images with dimension of
`num frames` x `channel` x `height` x `width`.
`channel` x `num frames` x `height` x `width`.
flipped_boxes (ndarray or None): the flipped boxes with dimension of
`num boxes` x 4.
"""
Expand Down
2 changes: 1 addition & 1 deletion slowfast/datasets/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -125,7 +125,7 @@ def spatial_sampling(
with the given spatial_idx.
Args:
frames (tensor): frames of images sampled from the video. The
dimension is `num frames` x `height` x `width` x `channel`.
dimension is `channel` x `num frames` x `height` x `width`.
spatial_idx (int): if -1, perform random spatial sampling. If 0, 1,
or 2, perform left, center, right crop if width is larger than
height, and perform top, center, buttom crop if height is larger
Expand Down