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The Context (application variable), is displayed in JSON format for each module.
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Anomaly of Surface - JSON Data
Image Dimensions (Pixels)
...
| Code Block |
|---|
"heatmaps": [
[
{
"type": "<numpy>",
"shape": [
768,
1024,
1
]
},
{
"color": "#ff0000",
"color_bgr": [
0,
0,
255
],
"id": 1,
"label": "Defect"
}
]
.... |
Classifier - JSON Data
Detected Retangle Data - Class Names, ID & Confidence Percentage (Accuracy)
| Code Block | ||
|---|---|---|
| ||
"detectedRectangles": [
{
"classNames": [
{
"label": "Half White",
"id": 1579785458561,
"accuracy": 0.9999566078186035
},
{
"label": "Full Black",
"id": 1563879945497,
"accuracy": 0.000023665264961891808
},
{
"label": "Half Black",
"id": 1579785458074,
"accuracy": 0.00001757865356921684
},
{
"label": "Missing",
"id": 1579785459058,
"accuracy": 0.0000020917841538903303
},
{
"label": "Full White",
"id": 1563879965635,
"accuracy": 2.7898661159042604e-8
}
] |
Surface Detection - JSON Data
Detected Rectangles Data - Coordinates, Dimensions, Area, ID, Color, Class Name
...
| Code Block |
|---|
"heatmaps": [
[
{
"type": "<numpy>",
"shape": [
837,
1305,
1
]
},
{
"color": "#ff0000",
"color_bgr": [
0,
0,
255
],
"id": 1,
"label": "Defect"
} |
Detector - JSON Data
Detected Rectangles Data - Coordinates, Dimensions, ID, Class Name, Confidence Percentage
| Code Block |
|---|
"detectedRectangles": [
{
"x": 456,
"y": 361,
"width": 165,
"height": 163,
"id": 1604385708721000,
"confidence": 0.9918909072875977,
"classNames": [
{
"id": 1604385716945,
"label": "Screw",
"confidence": 0.9918909072875977
}
]
},
... |
OCR - JSON Data
Detected Rectangle Info - ID, Dimensions, OCR Text, Confidence Percentage
...