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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
languagepy
{
  "globalData": null,
  "image": {
    "type": "<numpy>",
    "shape": [
      837,
      1305,
      3
    ]
  }

Detected Rectangle Data - Coordinates, Dimensions, Area, ID, Color, Class Name

...

Code Block
languagepy
"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
languagepy
{
  "globalData": null,
  "image": {
    "type": "<numpy>",
    "shape": [
      837,
      1305,
      3
    ]
  }

Detected Rectangle Data - Coordinates, Dimensions, ID, Class Name, Confidence Percentage

...

Code Block
languagepy
"ocr": [
    {
      "id": 1615382086440,
      "width": 109,
      "height": 38,
      "x": 169.11210023365456,
      "y": 420.09002285870446,
      "text": "Today",
      "confidence": 0.997153103351593
      ...