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.
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.
...
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 |
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|
"ocr": [
{
"id": 1615382086440,
"width": 109,
"height": 38,
"x": 169.11210023365456,
"y": 420.09002285870446,
"text": "Today",
"confidence": 0.997153103351593
... |
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
}
] |