Inspection shows how the input image is processed for each module, where detected objects are displayed for each image, providing detailed information such as: rectangles coordinates, ID, image size, confidence percentage, etc.
The Context (application variable), is displayed in JSON format for each module.
Anomaly of Surface - JSON Data
Image Size (Pixels)
| Code Block |
|---|
{
"globalData": null,
"image": {
"type": "<numpy>",
"shape": [
837,
1305,
3
]
}, |
Detected Rectangles Info - Coordinates, Dimensions, Size, ID, Class Name, Color Palette
| 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"
},
{
"x": 1086,
"y": 510,
"width": 3,
"height": 3,
"area": 2,
"id": 1603111484990003,
"classNames": [
{
"color": "#ff00ff",
"color_bgr": [
255,
0,
255
],
"id": 1603111688057,
"label": "Scratch"
} |