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The Context (application variable), is displayed in JSON format for each module. The data will be available in Inspection after you activate a model for any module within the Flow.
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Module-independent data
Image Dimension (Pixels)
| Code Block | ||
|---|---|---|
| ||
{
"globalData": null,
"image": {
"type": "<numpy>",
"shape": [
837,
1305,
3
]
} |
Anomaly Detector - JSON Data
Detected Rectangle Data - XY Coordinates, Dimension[px], Area[px], ID, Color, Class Name
| Code Block | ||
|---|---|---|
| ||
"detectedRectangles": [
{
"x": 1086,
"y": 510,
"width": 3,
"height": 3,
"area": 2,
"id": 1603111484990003,
"classNames": [
{
"color": "#ff00ff",
"color_bgr": [
255,
0,
255
],
"id": 1603111688057,
"label": "Scratch"
}
.... |
...
| Code Block | ||
|---|---|---|
| ||
"heatmaps": [
[
{
"type": "<numpy>",
"shape": [
768,
1024,
1
]
},
{
"color": "#ff0000",
"color_bgr": [
0,
0,
255
],
"id": 1,
"label": "Defect"
}
]
.... |
Classifier - JSON Data
Image Dimension [px]
...
| language | py |
|---|
...
Detected Rectangle Data - Class Names, ID & Confidence % (Accuracy)
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Surface Detection - JSON Data
Image Dimension (Pixels)
...
| language | py |
|---|
...
Detected Rectangle Data - XY Coordinates, Dimension, 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
Image Dimension (Pixels)
...
| language | py |
|---|
...
Detected Rectangle Data - Coordinates, Dimension, ID, Class Name, Confidence Percentage
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| Code Block | ||
|---|---|---|
| ||
"detectedRectangles": [
{
"x": 456,
"y": 361,
"width": 165,
"height": 163,
"id": 1604385708721000,
"confidence": 0.9918909072875977,
"classNames": [
{
"id": 1604385716945,
"label": "Screw02",
"confidence": 0.9918909072875977
}
]
},
... |
OCR - JSON Data
Image Dimension (Pixels)
...
| language | py |
|---|
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Detected Rectangle Info - ID, Dimension, OCR Text, Confidence Percentage
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