tensorflow::ops::CropAndResize
tensorflow::ops::CropAndResize
#include <image_ops.h>
Extracts crops from the input image tensor and bilinearly resizes them (possibly.
Summary
with aspect ratio change) to a common output size specified by crop_size
. This is more general than the crop_to_bounding_box
op which extracts a fixed size slice from the input image and does not allow resizing or aspect ratio change.
Returns a tensor with crops
from the input image
at positions defined at the bounding box locations in boxes
. The cropped boxes are all resized (with bilinear interpolation) to a fixed size = [crop_height, crop_width]
. The result is a 4-D tensor [num_boxes, crop_height, crop_width, depth]
.
Arguments:
- scope: A Scope object
- image: A 4-D tensor of shape
[batch, image_height, image_width, depth]
. Bothimage_height
andimage_width
need to be positive. - boxes: A 2-D tensor of shape
[num_boxes, 4]
. Thei
-th row of the tensor specifies the coordinates of a box in thebox_ind[i]
image and is specified in normalized coordinates[y1, x1, y2, x2]
. A normalized coordinate value ofy
is mapped to the image coordinate aty * (image_height - 1)
, so as the[0, 1]
interval of normalized image height is mapped to `[0, image_height - 1] in image height coordinates. We do allow y1 > y2, in which case the sampled crop is an up-down flipped version of the original image. The width dimension is treated similarly. Normalized coordinates outside the[0, 1]
range are allowed, in which case we useextrapolation_value
to extrapolate the input image values. - box_ind: A 1-D tensor of shape
[num_boxes]
with int32 values in[0, batch)
. The value ofbox_ind[i]
specifies the image that thei
-th box refers to. - crop_size: A 1-D tensor of 2 elements,
size = [crop_height, crop_width]
. All cropped image patches are resized to this size. The aspect ratio of the image content is not preserved. Bothcrop_height
andcrop_width
need to be positive.
Optional attributes (see Attrs
):
- method: A string specifying the interpolation method. Only 'bilinear' is supported for now.
- extrapolation_value: Value used for extrapolation, when applicable.
Returns:
-
Output
: A 4-D tensor of shape[num_boxes, crop_height, crop_width, depth]
.
Constructors and Destructors | |
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CropAndResize(const ::tensorflow::Scope & scope, ::tensorflow::Input image, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input crop_size) | |
CropAndResize(const ::tensorflow::Scope & scope, ::tensorflow::Input image, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input crop_size, const CropAndResize::Attrs & attrs) |
Public attributes | |
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crops |
Public functions | |
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node() const | ::tensorflow::Node * |
operator::tensorflow::Input() const | |
operator::tensorflow::Output() const |
Public static functions | |
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ExtrapolationValue(float x) | |
Method(StringPiece x) |
Structs | |
---|---|
tensorflow::ops::CropAndResize::Attrs | Optional attribute setters for CropAndResize. |
Public attributes
crops
::tensorflow::Output crops
Public functions
CropAndResize
CropAndResize( const ::tensorflow::Scope & scope, ::tensorflow::Input image, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input crop_size )
CropAndResize
CropAndResize( const ::tensorflow::Scope & scope, ::tensorflow::Input image, ::tensorflow::Input boxes, ::tensorflow::Input box_ind, ::tensorflow::Input crop_size, const CropAndResize::Attrs & attrs )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
ExtrapolationValue
Attrs ExtrapolationValue( float x )
Method
Attrs Method( StringPiece x )
© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/crop-and-resize.html