Difference between revisions of "GstInference/Example pipelines with hierarchical metadata/PC"

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Line 241: Line 241:
 
       </div>
 
       </div>
 
       <div class="col-25">
 
       <div class="col-25">
−
         <input type="text" id="thickness" placeholder="Thickness" disabled="true">
+
         <input type="text" id="thickness" placeholder="thickness" disabled="true">
 
       </div>
 
       </div>
 
       <div class="col-25">
 
       <div class="col-25">
−
         <input type="text" id="fontscale" placeholder="Fontscale" disabled="true">
+
         <input type="text" id="fontscale" placeholder="fontscale" disabled="true">
 
       </div>
 
       </div>
 
       <div class="col-25">
 
       <div class="col-25">
Line 266: Line 266:
 
     <div class="row">
 
     <div class="row">
 
     <button type="button" class="button" onclick="reset_all()">Reset</button>
 
     <button type="button" class="button" onclick="reset_all()">Reset</button>
−
     <button type="button" class="button" onclick="print_pipeline()">Generate!</button>
+
     <button type="button" class="button" onclick="print()">Generate!</button>
 
     </div>
 
     </div>
 
   </form>
 
   </form>
 
</div>
 
</div>
  
−
<!-- ********************** Variables and dicts ******************************** -->
+
<!-- ****************************************************** -->
  
 
<script>
 
<script>
Line 331: Line 331:
 
   facenetv1: "imagenet_labels.txt"
 
   facenetv1: "imagenet_labels.txt"
 
};
 
};
−
 
−
// **********************  General functions ********************************
 
  
 
function reset_all() {
 
function reset_all() {
 
   document.getElementById("gen_form").reset();
 
   document.getElementById("gen_form").reset();
−
   src = "";
+
   var src = "";
−
   model = "";
+
   var model = "";
−
   model_props = "";
+
   var model_props = "";
−
   tee = "";
+
   var tee = "";
−
   filter = "";
+
   var filter = "";
−
   crop = "";
+
   var crop = "";
−
   overlay = "";
+
   var overlay = "";
−
   sink = "";
+
   var sink = "";
−
  disable_checkbox("filter_class_id");
 
−
}
 
−
 
 
−
function disable_element(element) {
 
−
  document.getElementById(element).disabled=true;
 
−
  document.getElementById(element).value=null;
 
−
}
 
−
 
 
−
function enable_element(element) {
 
−
  document.getElementById(element).disabled=false;
 
 
}
 
}
−
// **********************  Dropdown menus ********************************
 
  
 
function dynamic_backend_dropdown(platform) {
 
function dynamic_backend_dropdown(platform) {
Line 377: Line 364:
 
   option_ty3.value = "tinyyolov3";
 
   option_ty3.value = "tinyyolov3";
 
    
 
    
−
 
 
−
  var list = document.getElementById("model");
 
 
   switch (backend)
 
   switch (backend)
 
   {
 
   {
Line 393: Line 378:
 
       break;
 
       break;
 
     case "tflite" :
 
     case "tflite" :
−
       document.getElementById("model").remove(8);
+
       document.getElementById("model").removeChild("tinyyolov3");
−
      document.getElementById("model").remove(9);
 
 
       document.getElementById("inputlayer").disabled=true;
 
       document.getElementById("inputlayer").disabled=true;
 
       document.getElementById("inputlayer").value=null;
 
       document.getElementById("inputlayer").value=null;
Line 400: Line 384:
 
       document.getElementById("outputlayer").value=null;
 
       document.getElementById("outputlayer").value=null;
 
       break;  
 
       break;  
−
    default:
 
−
      document.getElementById("model").remove(8);
 
−
      document.getElementById("model").remove(9);
 
−
      document.getElementById("inputlayer").disabled=true;
 
−
      document.getElementById("inputlayer").value=null;
 
−
      document.getElementById("outputlayer").disabled=true;
 
−
      document.getElementById("outputlayer").value=null;
 
−
      break;
 
 
   }
 
   }
 +
 +
 
}
 
}
  
Line 432: Line 410:
 
     overlay = " inferenceoverlay";
 
     overlay = " inferenceoverlay";
 
   } else {
 
   } else {
−
     disable_element"thickness");
+
     document.getElementById("thickness").disabled=true;
−
     disable_element("style");
+
    document.getElementById("style").disabled=true;
−
     disable_element("fontscale");
+
    document.getElementById("fontscale").disabled=true;
 +
    document.getElementById("thickness").value = null;
 +
     document.getElementById("style").value = null;
 +
     document.getElementById("fontscale").value = null;
 
     overlay = "";
 
     overlay = "";
 
   }
 
   }
Line 441: Line 422:
 
function enable_filter() {     
 
function enable_filter() {     
 
   var checkbox = document.getElementById('en_inferencefilter');
 
   var checkbox = document.getElementById('en_inferencefilter');
−
 
 
 
   if(checkbox.checked == true) {
 
   if(checkbox.checked == true) {
−
     enable_element("filter_class_id");
+
     document.getElementById("filter_class_id").disabled=false;
 
     filter = " inferencefilter";
 
     filter = " inferencefilter";
 
   } else {
 
   } else {
−
     disable_element("filter_class_id");
+
     document.getElementById("filter_class_id").disabled=true;
 
     filter = "";
 
     filter = "";
 +
    document.getElementById("filter_class_id").value = null;
 
   }
 
   }
 
}
 
}
Line 463: Line 444:
 
}
 
}
  
−
function print_pipeline() {
+
function print() {
 
   model = document.getElementById("model").value;
 
   model = document.getElementById("model").value;
 
   src = document.getElementById("source").value;
 
   src = document.getElementById("source").value;
Line 492: Line 473:
  
 
   if(overlay != "") {
 
   if(overlay != "") {
−
     // overlay = " inferenceoverlay";
+
     overlay = " inferenceoverlay";
 
     var thickness= document.getElementById("thickness").value;
 
     var thickness= document.getElementById("thickness").value;
 
     var fontscale=document.getElementById("fontscale").value;
 
     var fontscale=document.getElementById("fontscale").value;
Line 507: Line 488:
 
     }
 
     }
 
     overlay = overlay + " !";
 
     overlay = overlay + " !";
−
   }  
+
   }
 
   
 
   
 
   if(filter != "") {
 
   if(filter != "") {
Line 516: Line 497:
 
       filter = filter + " !";
 
       filter = filter + " !";
 
     }
 
     }
−
   }  
+
   }
 
      
 
      
 
   if(crop != "") {
 
   if(crop != "") {
Line 525: Line 506:
 
       crop = crop + " !";
 
       crop = crop + " !";
 
     }
 
     }
−
   }  
+
   }
 +
 
 
   document.getElementById("new_pipeline").value = "gst-launch-1.0 " + model + model_props + src + tee + filter + crop + overlay + sink;  
 
   document.getElementById("new_pipeline").value = "gst-launch-1.0 " + model + model_props + src + tee + filter + crop + overlay + sink;  
 
}
 
}

Revision as of 12:26, 11 March 2020



Previous: Example pipelines Index Next: Example pipelines/NANO


GstInference
GstInference
Introduction
Getting started
Supported architectures
Supported backends
Metadata and Signals
Overlay Elements
Utils Elements
Legacy pipelines
Example pipelines
Example applications
Benchmarks
Model Zoo
Project Status
Contact Us

Coral from Google



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 chan 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
Error creating thumbnail: Unable to save thumbnail to destination
Detection with new metadata

Pipeline generator

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

Optional utilites

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

Advanced pipelines

Previous: Example pipelines Index Next: Example pipelines/NANO



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