GstInference/Example pipelines with hierarchical metadata: Difference between revisions

Revision as of 21:51, 1 July 2020

Sample pipelines

The following section contains a tool for generating simple GStreamer pipelines with one model of a selected architecture using our hierarchical inference metadata. If you are using and older version, you can check the legacy pipelines section. Please make sure to check the documentation to understand the property usage for each element.

The required elements are:

Backend
Model
Model location
Labels
Source
Sink

The optional elements include:

inferencefilter
inferencrop
inferenceoverlay

Pipeline Generator

The following tool will provide simple pipelines according to the selected elements.

Platform

Backend

Model

Input layer

Output layer

Model location

Labels

Source

Sink

Optional utilites

The following elements are optional yet very useful. Check the documentation for more details on their properties.

Inference Filter

Inference Overlay

Inference Crop

Advanced pipelines

Previous: Example pipelines/IMX8

Index

Next: Example Applications

@@ Line 407: / Line 407: @@
    {
      case "tensorflow" :
+      search_option("tinyyolov3","TinyYolov3","model","add");
+      search_option("resnet50v1","Resnet50V1","model","add");
+      if( document.getElementById("model").value != "") {
+        document.getElementById("inputlayer").value = input_layers[document.getElementById("model").value];
+        document.getElementById("outputlayer").value = output_layers[document.getElementById("model").value];
+      }
+      enable_element("inputlayer");
+      enable_element("outputlayer");
+      break;
+    case "onnxrt" :
        search_option("tinyyolov3","TinyYolov3","model","add");
        search_option("resnet50v1","Resnet50V1","model","add");