Inspection shows how the input image is processed throughout the whole flow shown by the graph. For each module, the graph shows its result on the image and processing time. The overall processing time for the whole flow is displayed below the graph.TheĀ Context (application variable), is displayed in JSON format for each image. It shows basic information about the image, results of enabled models and other information like inputs from Operator View etc. Detected for each module, where detected objects are displayed for each image, providing detailed information such as: rectangle coordinates, ID, classnameimage size, confidence percentage, etc. (depending on the modules used)
TheĀ 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.
...
...
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]
...
...
Detected Rectangle Data - Class Names, ID & Confidence % (Accuracy)
...
Surface Detection - JSON Data
Image Dimension (Pixels)
...
...
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)
...
...
Detected Rectangle Data - Coordinates, Dimension, 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": "Screw02",
"confidence": 0.9918909072875977
}
]
},
... |
OCR - JSON Data
...
Detected Rectangle Info - ID, Dimension, OCR Text, Confidence Percentage
Info |
---|
Accuracy * 100 = Accuracy % |
Info |
---|
Detected Rectangle for ''text=Today'' has 99.71% confidence |
Code Block |
---|
|
"ocr": [
{
"globalDataid": null1615382086440,
"imagewidth": 109,
{ "typeheight": "<numpy>"38,
"shapex": [169.11210023365456,
837,"y": 420.09002285870446,
1305"text": "Today",
3
"confidence": 0.997153103351593
] } |
Detected Rectangle Info - ID, Dimension, OCR Text, Confidence Percentage
Info |
---|
Accuracy * 100 = Accuracy % |
Info |
---|
Detected Rectangle for ''text=Today'' has 99.71% confidence |
Measure - JSON Data
Lines - Name, Start & end coordinates, Angle, Measured length
Code Block |
---|
|
"ocrlines": [
{
"id": 1651502661344,
"label": 1615382086440,"Line1",
"start": {
"widthx": 109165,
"heighty": 38 479
},
"end": {
"x": 158,
"y": 4
},
"angle": 169.11210023365456,1.5560605513728232,
"length": 475
},
{
"id": 1651502665897,
"label": "Line2",
"start": {
"x": 436,
"y": 420.09002285870446 479
},
"text": "Today"end": {
"x": 436,
"y": 4
},
"confidenceangle": 0.9971531033515931.5707963267948966,
"length": 475
}
...] |