Page Comparison

Inspection shows how the input image is processed throughout the whole flow shown by the graph. For each module, the graph shows its result on the image and processing time. The overall processing time for the whole flow is displayed below the graph.The Context (application variable), is displayed in JSON format for each image. It shows basic information about the image, results of enabled models and other information like inputs from Operator View etc. Detected for each module, where detected objects are displayed for each image, providing detailed information such as: rectangle coordinates, ID, classnameimage size, confidence percentage, etc. (depending on the modules used)

The 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.

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Module-independent data

Image Dimension (Pixels)

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

Anomaly Detector - JSON Data

Detected Rectangle Data - XY Coordinates, Dimension[px], Area[px], ID, Color, Class Name

  "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"
        }
        ....

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 "heatmaps": [
    [
      {
        "type": "<numpy>",
        "shape": [
          768,
          1024,
          1
        ]
      },
      {
        "color": "#ff0000",
        "color_bgr": [
          0,
          0,
          255
        ],
        "id": 1,
        "label": "Defect"
      }
    ]
    ....

Classifier - JSON Data

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

Detected Rectangle Data - Class Names, ID & Confidence % (Accuracy)

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Surface Detection - JSON Data

Image Dimension (Pixels)

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Detected Rectangle Data - XY Coordinates, Dimension, Area, ID, Color, Class Name

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"heatmaps": [
    [
      {
        "type": "<numpy>",
        "shape": [
          837,
          1305,
          1
        ]
      },
      {
        "color": "#ff0000",
        "color_bgr": [
          0,
          0,
          255
        ],
        "id": 1,
        "label": "Defect"
      }

Detector - JSON Data

Image Dimension (Pixels)

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

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

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  "detectedRectangles": [
    {
      "x": 456,
      "y": 361,
      "width": 165,
      "height": 163,
      "id": 1604385708721000,
      "confidence": 0.9918909072875977,
      "classNames": [
        {
          "id": 1604385716945,
          "label": "Screw02",
          "confidence": 0.9918909072875977
        }
      ]
    },
  ...

OCR - JSON Data

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

Detected Rectangle Info - ID, Dimension, OCR Text, Confidence Percentage

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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

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For each line you can see its id, name, coordinates of its start and end, its angle (in radians) and measured length in current image (in pixels).

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- Name, Start & end coordinates, Angle, Measured length

"lines": [
    {
      "id": 16607379848491651502661344,
      "label": "Line1",
      "start": {
        "x": 296165,
        "y": 98479
      },
      "end": {
        "x": 295158,
        "y": 144
      },
      "angle": 1.55889212723658685560605513728232,
      "length": 84475
    },
    {
      "id": 16607379987361651502665897,
      "label": "Line2",
      "start": {
        "x": 958436,
        "y": 55479
      },
      "end": {
        "x": 2436,
        "y": 534
      },
      "angle": 01.00209204715713906235707963267948966,
      "length": 956475
    }
  ]