Crops an image to a specified bounding box.
tf.image.crop_to_bounding_box(
image, offset_height, offset_width, target_height, target_width
)
Used in the notebooks
This op cuts a rectangular part out of image. The top-left corner of the
returned image is at offset_height, offset_width in image, and its
lower-right corner is at
offset_height + target_height, offset_width + target_width.
Args |
|---|
image
|
4-D Tensor of shape [batch, height, width, channels] or 3-D Tensor
of shape [height, width, channels].
|
offset_height
|
Vertical coordinate of the top-left corner of the result in
the input.
|
offset_width
|
Horizontal coordinate of the top-left corner of the result in
the input.
|
target_height
|
Height of the result.
|
target_width
|
Width of the result.
|
Returns |
|---|
If image was 4-D, a 4-D float Tensor of shape
[batch, target_height, target_width, channels]
If image was 3-D, a 3-D float Tensor of shape
[target_height, target_width, channels]
|
Raises |
|---|
ValueError
|
If the shape of image is incompatible with the offset_* or
target_* arguments, or either offset_height or offset_width is
negative, or either target_height or target_width is not positive.
|
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TensorFlow 1 version
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