Inspection

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)

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

Detected Rectangle Info - Coordinates, Dimensions, Size, ID, Class Name, Color Palette

  "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"
        }

OCR - JSON Data

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

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