tf.image.crop_and_resize( image, boxes, box_ind, crop_size, method='bilinear', extrapolation_value=0, name=None )
Defined in generated file:
See the guide: Images > Cropping
Extracts crops from the input image tensor and resizes them.
Extracts crops from the input image tensor and resizes them using bilinear
sampling or nearest neighbor sampling (possibly 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 or nearest neighbor interpolation) to a fixed
size = [crop_height, crop_width]. The result is a 4-D tensor
[num_boxes, crop_height, crop_width, depth]. The resizing is corner aligned.
In particular, if
boxes = [[0, 0, 1, 1]], the method will give identical
results to using
tf.image.resize_nearest_neighbor()(depends on the
method argument) with
Tensor. Must be one of the following types:
float64. A 4-D tensor of shape
[batch, image_height, image_width, depth]. Both
image_widthneed to be positive.
float32. A 2-D tensor of shape
[num_boxes, 4]. The
i-th row of the tensor specifies the coordinates of a box in the
box_ind[i]image and is specified in normalized coordinates
[y1, x1, y2, x2]. A normalized coordinate value of
yis mapped to the image coordinate at
y * (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
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 use
extrapolation_valueto extrapolate the input image values.
int32. A 1-D tensor of shape
[num_boxes]with int32 values in
[0, batch). The value of
box_ind[i]specifies the image that the
i-th box refers to.
int32. 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. Both
crop_widthneed to be positive.
method: An optional
"bilinear", "nearest". Defaults to
"bilinear". A string specifying the sampling method for resizing. It can be either
"nearest"and default to
"bilinear". Currently two sampling methods are supported: Bilinear and Nearest Neighbor.
extrapolation_value: An optional
float. Defaults to
0. Value used for extrapolation, when applicable.
name: A name for the operation (optional).
Tensor of type