Gst-nvsegvisual
The Gst-nvsegvisual plugin visualizes segmentation results. Segmentation is based on image recognition, except that the classifications occur at the pixel level as opposed to the image level as with image recognition. The segmentation output size is generally same as the input size. For more information, see the segmentation training reference at: https://github.com/qubvel/segmentation_models
Inputs and Outputs
Inputs
GStreamer buffer containing NV12/RGBA frame(s)
NvDsInferSegmentationMeta containing class numbers, pixel class map, width, height, etc. generated by Gst-nvinfer.
gpu-id: selects the GPU ID
width, set according the segmentation output size
height, set according the segmentation output size
Output
This plugin allocates different colors for different classes. For example, the industrial model’s output has only one representing defective areas. Thus, defective areas and background have different colors. The semantic model outputs four classes with four different colors: car, pedestrian, bicycle, and background. This plugin shows only the segmentation output. It does not overlay output on the original NV12 frame.
Features
The following table summarizes the features of the plugin.
Feature |
Description |
Release |
|---|---|---|
Configure GPU selection |
Sets the GPU ID to be used for segmentation visualization operations (valid only for dGPU platforms) |
DS 4.0 |
Configure width |
Sets width according to the segmentation output size |
DS 4.0 |
Configure height |
Sets height according to the segmentation output size |
DS 4.0 |
Gst Properties
The following table describes the Gst properties of the Gst-nvsegvisual plugin.
Property |
Meaning |
Type and Range |
Example and Notes |
|---|---|---|---|
gpu-id |
Device ID of the GPU to be used for decoding |
Integer, 0 to 4,294,967,295 |
gpu-id=0 |
width |
Segmentation output width |
Integer, 0 to 4,294,967,295 |
width=512 |
height |
Segmentation output height |
Integer, 0 to 4,294,967,295 |
height=512 |