ExperimentalDetectronTopKROIs#
Versioned name: ExperimentalDetectronTopKROIs-6
Category: Sorting and maximization
Short description: The ExperimentalDetectronTopKROIs operation is TopK operation applied to probabilities of input ROIs.
Detailed description: The operation performs probabilities descending sorting for input ROIs and returns max_rois number of ROIs. Order of sorted ROIs with equal probabilities is undefined. If the number of ROIs is less than max_rois then operation returns all ROIs descended sorted and the output tensor is filled with undefined values for the rest of output tensor elements.
Attributes:
max_rois
Description: The max_rois attribute specifies maximal numbers of output ROIs.
Range of values: non-negative integer number
Type:
int
Default value: 0
Required: no
Inputs
1: A 2D tensor of type T with shape
[number_of_ROIs, 4]
describing the ROIs as 4-tuples: [x 1, y 1, x 2, y 2]. Required.2: A 1D tensor of type T with shape
[number_of_input_ROIs]
contains probabilities for input ROIs. Required.
Outputs
1: A 2D tensor of type T with shape
[max_rois, 4]
describing max_rois ROIs with highest probabilities.
Types
T: any supported floating-point type.
Example
<layer ... type="ExperimentalDetectronTopKROIs" version="opset6">
<data max_rois="1000"/>
<input>
<port id="0">
<dim>5000</dim>
<dim>4</dim>
</port>
<port id="1">
<dim>5000</dim>
</port>
</input>
<output>
<port id="2" precision="FP32">
<dim>1000</dim>
<dim>4</dim>
</port>
</output>
</layer>