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Inspection shows how the input image is processed in individual modules that it is passing through. It offers a look at how the picture changes during its passage. Detected for each module, where detected objects are displayed for individual images. Testing can only be performed on images uploaded in the application. Each module has the time of processing displayed. After clicking on the module, a larger image opens. Only modules which are enabled (have a model assigned) are displayed.

Context

Below the modules, a serializedĀ Context is displayed in JSON format., providing detailed information such as: rectangles coordinates, ID, image size, defect defection confidence percentage, etc.

TheĀ Context (variable application), 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"
        }