Inspection shows how the input image is processed for each module, where detected objects are displayed for each image, providing detailed information such as rectangle coordinates, ID, image size, confidence percentage, etc.
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.
Image Removed
Image AddedModule-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"
}
.... |
Heatmap Data - Dimension, Color, ID & Class Name
| Code Block |
|---|
|
"heatmaps": [
[
{
"type": "<numpy>",
"shape": [
768,
1024,
1
]
},
{
"color": "#ff0000",
"color_bgr": [
0,
0,
255
],
"id": 1,
"label": "Defect"
}
]
.... |
Classifier - JSON Data
Detected Rectangle Data - Class Names, ID & Confidence % (Accuracy)
| Info |
|---|
Accuracy is represented as [0-1] value. To get the percentage → Accuracy * 100 = Accuracy % |
| Info |
|---|
Detected Rectangle for Product A has 99.99% confidence |
| Code Block |
|---|
|
"detectedRectangles": [
{
"classNames": [
{
"label": "Product A",
"id": 1579785458561,
"accuracy": 0.9999566078186035
},
{
"label": "Product B",
"id": 1563879945497,
"accuracy": 0.000023665264961891808
},
{
"label": "Product C",
"id": 1579785458074,
"accuracy": 0.00001757865356921684
},
{
"label": "Missing",
"id": 1579785459058,
"accuracy": 0.0000020917841538903303
},
{
"label": "Product D",
"id": 1563879965635,
"accuracy": 2.7898661159042604e-8
}
] |
Surface Detection - JSON Data
Detected Rectangle Data - XY Coordinates, Dimension, Area, ID, Color, Class Name
| Code Block |
|---|
|
"detectedRectangles": [
{
"x": 35,
"y": 681,
"width": 30,
"height": 33,
"area": 718.5,
"id": 1603111484990000,
"classNames": [
{
"color": "#ff0000",
"color_bgr": [
0,
0,
255
],
"id": 1,
"label": "Defect"
} |
Heatmap Data - Dimension, Color, ID & 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 Rectangle Data - Coordinates, Dimension, ID, Class Name, Confidence Percentage
| Info |
|---|
Accuracy is represented as [0-1] value. To get the percentage → Accuracy * 100 = Accuracy % |
| Info |
|---|
Detected Rectangle for label = "Screw02" has 99.18% confidence |
| 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
Detected Rectangle Info - ID, Dimension, OCR Text, Confidence Percentage
| Info |
|---|
Accuracy is represented as [0-1] value. To get the percentage → Accuracy * 100 = Accuracy % |
| Info |
|---|
Detected Rectangle for ''text=Today'' has 99.71% confidence |
| Code Block |
|---|
|
"detectedRectangles": [
{
"rotate": 0,
"x": 97,
"y": 87,
"width": 366,
"height": 60,
"classNames": [
{
"label": "16/02/2022",
"id": -1,
"confidence": 0.8683
}
],
"confidence": 0.8683,
"ocv_result": "not_activated",
"ocv_value": 0,
"id": 1
}... |
Measure - JSON Data
Lines - Name, Start & End coordinates, Angle, Measured length
| Code Block |
|---|
|
"lines": [
{
"id": 1651502661344,
"label": "Line1",
"start": {
"x": 165,
"y": 479
},
"end": {
"x": 158,
"y": 4
},
"angle": 1.5560605513728232,
"length": 475
},
{
"id": 1651502665897,
"label": "Line2",
"start": {
"x": 436,
"y": 479
},
"end": {
"x": 436,
"y": 4
},
"angle": 1.5707963267948966,
"length": 475
}
] |