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deepstack-object-detection.html
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deepstack-object-detection.html
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<script type="text/javascript">
RED.nodes.registerType('deepstack-object-detection',{
category: 'function',
color: '#4682b4',
defaults: {
name: {value:""},
server: {value:"", type:"deepstack-server"},
confidence: {value: 80,required:true,validate:RED.validators.number()},
drawPredictions: {value: false},
printLabel: {value: false},
outlineColor: {value: 'pink'},
custom: {value: ""},
filters: {value:[]},
outputs: {value:1}
},
inputs:1,
outputs:1,
outputLabels: function(index) {
let label = "";
if (index == 0) {
label = 'All Predictions';
} else {
label = 'Filter: ' + this.filters[index-1];
}
return label;
},
icon: "font-awesome/fa-file-image-o",
label: function() {
return this.name||"Object Detection";
},
oneditprepare: function() {
var node = this;
var outputCount = $("#node-input-outputs").val("{\"0\":0}");
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</script>
<script type="text/x-red" data-template-name="deepstack-object-detection">
<div class="form-row">
<label for="node-input-name"><i class="fa fa-tag"></i> <span data-i18n="common.label.name"></span></label>
<input type="text" id="node-input-name" data-i18n="[placeholder]common.label.name">
</div>
<div class="form-row">
<label for="node-input-server"><i class="icon-tag"></i> Deepstack server</label>
<input type="text" id="node-input-server">
</div>
<hr />
<div class="form-row">
<label for="node-input-confidence"><i class="icon-tag"></i> Minimum Confidence (%)</label>
<input type="text" id="node-input-confidence" size="5">
</div>
<div class="form-row">
<input type="checkbox" id="node-input-drawPredictions" style="display: inline-block; width: auto; vertical-align: top;">
<label for="node-input-drawPredictions" style="width: 90%;">Draw prediction outlines</label>
</div>
<div class="form-row" id="row-outlineColor" style="padding-left:10%;">
<label for="node-input-outlineColor"><i class="icon-tag"></i> Outline color</label>
<input type="text" id="node-input-outlineColor">
</div>
<div class="form-row" id="row-printLabel" style="padding-left:10%;">
<input type="checkbox" id="node-input-printLabel" style="display: inline-block; width: auto; vertical-align: top;">
<label for="node-input-printLabel" style="width: 90%;">Print prediction label</label>
</div>
<div class="form-row">
<hr />
<p>Filter output</p>
<input type="hidden" id="node-input-outputs"/>
</div>
<div class="form-row node-input-filter-container-row">
<ol id="node-input-filter-container"></ol>
</div>
</script>
<script type="text/x-red" data-help-name="deepstack-object-detection">
<p>A node to query the Deepstack Object Detection API.</p>
<h3>Inputs</h3>
<p>The node takes one single input, the image to be processed.</p>
<dl class="message-properties">
<dt>payload
<span class="property-type">buffer</span>
</dt>
<dd> the image buffer to process. </dd>
</dl>
<h3>Outputs</h3>
<p>One or several outputs can be configured for this node. The default first output is always all predictions.
If desired, additional outputs can be configured, filtering the predictions.</p>
<ol class="node-ports">
<li>Standard output
<dl class="message-properties">
<dt>payload <span class="property-type">object</span></dt>
<dd>Deepstack Object Detection predictions.</dd>
<dt>success <span class="property-type">boolean</span></dt>
<dd>Deepstack Object Detection status.</dd>
<dt>originalImage <span class="property-type">buffer</span></dt>
<dd>the image buffer processed.</dd>
<dt>outlinedImage <span class="property-type">buffer</span></dt>
<dd>the image buffer with rectangular outline around detected objects. Only if config option *drawPredictions* is true.</dd>
</dl>
</li>
<li>Filtered output
<dl class="message-properties">
<dt>payload <span class="property-type">object</span></dt>
<dd>Deepstack Object Detection predictions.</dd>
<dt>success <span class="property-type">boolean</span></dt>
<dd>Deepstack Object Detection status.</dd>
<dt>originalImage <span class="property-type">buffer</span></dt>
<dd>the image buffer processed.</dd>
<dt>outlinedImage <span class="property-type">buffer</span></dt>
<dd>the image buffer with rectangular outline around detected objects. Only if config option *drawPredictions* is true.</dd>
</dl>
</li>
</ol>
<h3>Details</h3>
<p>Sends an image to the Deepstack Object Detection API and outputs the predictions.</p>
<h3>References</h3>
<ul>
<li><a href="https://deepstack.cc/">Deepstack</a> - the service performing the actual magic.</li>
</ul>
</script>