GstInference Embedding Overlay element

GstInference
Introduction
Getting started
Getting the code Building the plugin Quick Starting Guide
Supported architectures
InceptionV1 InceptionV2 InceptionV3 InceptionV4 TinyYoloV2 TinyYoloV3 YoloV2 ResNetV1 MobileNetV2 MobileNetV2 + SSD AlexNet
Supported backends
TensorFlow Tensorflow-Lite Coral from Google Caffe TensorRT ONNXRT ONNXRT ACL ONNXRT OpenVINO
Metadata and Signals
GstClassificationMeta GstInferenceMeta Signals
Overlay Elements
Inference Overlay
Utils Elements
InferenceFilter InferenceCrop InferenceDebug InferenceBin
Legacy pipelines
PC NANO TX2 Xavier IMX8
Example pipelines
Example applications
Classification Detection Hand Pose Recognition
Benchmarks
Model Zoo
Project Status
Releases Roadmap
Contact Us

This element consumes the classification metadata introduced in the buffer by our facenet element(FaceNet). This element uses GstEmbeddingMeta. The element uses openCV to draw on the input frame, draws a green border and writes "Pass" on the frame if its embedding is close to a known value or a red border and "Fail" otherwise.

Embedding overalay example

Properties

The embeddingoverlay element expose the following properties to control the boxes' thickness, color, etc. These properties are documented on the following table:

Property	Value	Description
font-scale	Double [0,100]	Scale of the font used on the overlay. 0 turns off the overlay
thickness	Double [1,100]	Thickness in pixels used for the lines
labels	String	Semicolon separated string containing inference labels. For example: labels="face1;face2;face3"

Example

For example pipelines using embedding element please check the example pipelines section.