19 #include "ngraph/op/op.hpp"
36 std::vector<float> min_size;
37 std::vector<float> max_size;
38 std::vector<float> aspect_ratio;
39 std::vector<float> density;
40 std::vector<float> fixed_ratio;
41 std::vector<float> fixed_size;
46 std::vector<float> variance;
47 bool scale_all_sizes =
true;
70 virtual std::shared_ptr<Node>
71 clone_with_new_inputs(
const OutputVector& new_args)
const override;
75 static std::vector<float>
76 normalized_aspect_ratio(
const std::vector<float>& aspect_ratio,
bool flip);
80 const HostTensorVector& inputs)
const override;
Visits the attributes of a node, primarily for serialization-like tasks.
Definition: attribute_visitor.hpp:71
A handle for one of a node's outputs.
Definition: node_output.hpp:42
Root of all actual ops.
Definition: op.hpp:29
Layer which generates prior boxes of specified sizes normalized to input image size.
Definition: prior_box.hpp:55
bool evaluate(const HostTensorVector &outputs, const HostTensorVector &inputs) const override
Evaluates the op on input_values putting results in output_values.
void validate_and_infer_types() override
Verifies that attributes and inputs are consistent and computes output shapes and element types....
const NodeTypeInfo & get_type_info() const override
Definition: prior_box.hpp:58
PriorBox(const Output< Node > &layer_shape, const Output< Node > &image_shape, const PriorBoxAttrs &attrs)
Constructs a PriorBox operation.
The Intel nGraph C++ API.
Definition: attribute_adapter.hpp:28
Definition: prior_box.hpp:26