GstInference/Helper Elements/Inference Filter

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
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Our GstInferenceMeta behaves in a hierarchical manner; i.e, amongst the several predictions a buffer might contain, each prediction may contain its own predictions. The inference filter element provides the functionality of selecting which of this predictions to process in further stages of the pipeline, by setting the enable property accordingly.

Properties

The inference filter exposes the following properties, in order to select which classes to enable/disable, according to the class_id of the classifications of each prediction.

These properties are documented on the following table:

Property	Value	Description
filter-class	Int [-1 - 2147483647] Default: -1	Class id we want to enable. If set to -1, the filter will be disabled.
reset-enable	Boolean. Default: false	Enables all inference meta to be processed.

Example

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