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329dffeb
编写于
11月 28, 2022
作者:
A
A. Unique TensorFlower
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PiperOrigin-RevId: 491385054
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official/vision/ops/preprocess_ops.py
official/vision/ops/preprocess_ops.py
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official/vision/ops/preprocess_ops.py
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329dffeb
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@@ -244,8 +244,10 @@ def resize_and_crop_image_v2(image,
1. For a given image, keep its aspect ratio and first try to rescale the short
side of the original image to `short_side`.
2. If the scaled image after 1 has a long side that exceeds `long_side`, keep
the aspect ratio and rescal the long side of the image to `long_side`.
2. Pad the rescaled image to the padded_size.
the aspect ratio and rescale the long side of the image to `long_side`.
3. (Optional) Apply random jittering according to `aug_scale_min` and
`aug_scale_max`. By default this step is skipped.
4. Pad the rescaled image to the padded_size.
Args:
image: a `Tensor` of shape [height, width, 3] representing an image.
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@@ -254,12 +256,11 @@ def resize_and_crop_image_v2(image,
long_side: a scalar `Tensor` or `int` representing the desired long side to
be rescaled to.
padded_size: a `Tensor` or `int` list/tuple of two elements representing
[height, width] of the padded output image size. Padding will be applied
after scaling the image to the desired_size.
[height, width] of the padded output image size.
aug_scale_min: a `float` with range between [0, 1.0] representing minimum
random scale applied
to desired_size
for training scale jittering.
random scale applied for training scale jittering.
aug_scale_max: a `float` with range between [1.0, inf] representing maximum
random scale applied
to desired_size
for training scale jittering.
random scale applied for training scale jittering.
seed: seed for random scale jittering.
method: function to resize input image to scaled image.
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