tensorflow::ops::SampleDistortedBoundingBox::Attrs

#include <image_ops.h>

Optional attribute setters for SampleDistortedBoundingBox.

Summary

Public attributes
`area_range_ = Default_area_range()`	`gtl::ArraySlice< float >`
`aspect_ratio_range_ = Default_aspect_ratio_range()`	`gtl::ArraySlice< float >`
`max_attempts_ = 100`	`int64`
`min_object_covered_ = 0.1f`	`float`
`seed2_ = 0`	`int64`
`seed_ = 0`	`int64`
`use_image_if_no_bounding_boxes_ = false`	`bool`

Public functions
`AreaRange(const gtl::ArraySlice< float > & x)`	`TF_MUST_USE_RESULT Attrs` The cropped area of the image must contain a fraction of the supplied image within this range.
`AspectRatioRange(const gtl::ArraySlice< float > & x)`	`TF_MUST_USE_RESULT Attrs` The cropped area of the image must have an aspect ratio = width / height within this range.
`MaxAttempts(int64 x)`	`TF_MUST_USE_RESULT Attrs` Number of attempts at generating a cropped region of the image of the specified constraints.
`MinObjectCovered(float x)`	`TF_MUST_USE_RESULT Attrs` The cropped area of the image must contain at least this fraction of any bounding box supplied.
`Seed(int64 x)`	`TF_MUST_USE_RESULT Attrs` If either `seed` or `seed2` are set to non-zero, the random number generator is seeded by the given `seed`.
`Seed2(int64 x)`	`TF_MUST_USE_RESULT Attrs` A second seed to avoid seed collision.
`UseImageIfNoBoundingBoxes(bool x)`	`TF_MUST_USE_RESULT Attrs` Controls behavior if no bounding boxes supplied.

gtl::ArraySlice< float > tensorflow::ops::SampleDistortedBoundingBox::Attrs::area_range_ = Default_area_range()

gtl::ArraySlice< float > tensorflow::ops::SampleDistortedBoundingBox::Attrs::aspect_ratio_range_ = Default_aspect_ratio_range()

int64 tensorflow::ops::SampleDistortedBoundingBox::Attrs::max_attempts_ = 100

float tensorflow::ops::SampleDistortedBoundingBox::Attrs::min_object_covered_ = 0.1f

int64 tensorflow::ops::SampleDistortedBoundingBox::Attrs::seed2_ = 0

int64 tensorflow::ops::SampleDistortedBoundingBox::Attrs::seed_ = 0

bool tensorflow::ops::SampleDistortedBoundingBox::Attrs::use_image_if_no_bounding_boxes_ = false

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::AreaRange(
  const gtl::ArraySlice< float > & x
)

The cropped area of the image must contain a fraction of the supplied image within this range.

Defaults to [0.05, 1]

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::AspectRatioRange(
  const gtl::ArraySlice< float > & x
)

The cropped area of the image must have an aspect ratio = width / height within this range.

Defaults to [0.75, 1.33]

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::MaxAttempts(
  int64 x
)

Number of attempts at generating a cropped region of the image of the specified constraints.

After max_attempts failures, return the entire image.

Defaults to 100

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::MinObjectCovered(
  float x
)

The cropped area of the image must contain at least this fraction of any bounding box supplied.

The value of this parameter should be non-negative. In the case of 0, the cropped area does not need to overlap any of the bounding boxes supplied.

Defaults to 0.1

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::Seed(
  int64 x
)

If either seed or seed2 are set to non-zero, the random number generator is seeded by the given seed.

Otherwise, it is seeded by a random seed.

Defaults to 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::Seed2(
  int64 x
)

A second seed to avoid seed collision.

Defaults to 0

TF_MUST_USE_RESULT Attrs tensorflow::ops::SampleDistortedBoundingBox::Attrs::UseImageIfNoBoundingBoxes(
  bool x
)

Controls behavior if no bounding boxes supplied.

If true, assume an implicit bounding box covering the whole input. If false, raise an error.

Defaults to false