openvino.runtime.opset10.prior_box#
- openvino.runtime.opset10.prior_box(layer_shape: Node, image_shape: Node | int | float | ndarray, attrs: dict, name: str | None = None) Node #
Generate prior boxes of specified sizes and aspect ratios across all dimensions.
- Parameters:
layer_shape – Shape of layer for which prior boxes are computed.
image_shape – Shape of image to which prior boxes are scaled.
attrs – The dictionary containing key, value pairs for attributes.
name – Optional name for the output node.
- Returns:
Node representing prior box operation.
Available attributes are: * min_size The minimum box size (in pixels).
Range of values: positive floating point numbers Default value: [] Required: no
- max_size The maximum box size (in pixels).
Range of values: positive floating point numbers Default value: [] Required: no
- aspect_ratio Aspect ratios of prior boxes.
Range of values: set of positive floating point numbers Default value: [] Required: no
- flip The flag that denotes that each aspect_ratio is duplicated and flipped.
Range of values: {True, False} Default value: False Required: no
- clip The flag that denotes if each value in the output tensor should be clipped
to [0,1] interval. Range of values: {True, False} Default value: False Required: no
- step The distance between box centers.
Range of values: floating point non-negative number Default value: 0 Required: no
- offset This is a shift of box respectively to top left corner.
Range of values: floating point non-negative number Default value: None Required: yes
- variance The variance denotes a variance of adjusting bounding boxes. The attribute
could contain 0, 1 or 4 elements. Range of values: floating point positive numbers Default value: [] Required: no
- scale_all_sizes The flag that denotes type of inference.
- Range of values: False - max_size is ignored
True - max_size is used
Default value: True Required: no
- fixed_ratio This is an aspect ratio of a box.
Range of values: a list of positive floating-point numbers Default value: None Required: no
- fixed_size This is an initial box size (in pixels).
Range of values: a list of positive floating-point numbers Default value: None Required: no
- density This is the square root of the number of boxes of each type.
Range of values: a list of positive floating-point numbers Default value: None Required: no
- min_max_aspect_ratios_order The flag that denotes the order of output prior box.
- Range of values: False - the output prior box is in order of
[min, aspect_ratios, max]
- True - the output prior box is in order of
[min, max, aspect_ratios]
Default value: True Required: no
Example of attribute dictionary:
# just required ones attrs = { 'offset': 85, } attrs = { 'offset': 85, 'flip': True, 'clip': True, 'fixed_size': [32, 64, 128] }
Optional attributes which are absent from dictionary will be set with corresponding default.