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/validade a model for any module within the Flow.
...
Surface Detection - JSON Data
Image Dimensions (Pixels)
Code Block |
---|
|
{
"globalData": null,
"image": {
"type": "<numpy>",
"shape": [
837,
1305,
3
]
} |
Detected Rectangle Data - Coordinates, Dimensions, 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 Dimensions (Pixels)
Code Block |
---|
|
{
"globalData": null,
"image": {
"type": "<numpy>",
"shape": [
837,
1305,
3
]
} |
Detected Rectangle Data - Coordinates, Dimensions, ID, Class Name, Confidence Percentage
...
Code Block |
---|
|
"ocr": [
{
"id": 1615382086440,
"width": 109,
"height": 38,
"x": 169.11210023365456,
"y": 420.09002285870446,
"text": "Today",
"confidence": 0.997153103351593
... |