Inspection shows how the input image is processed for each module, where detected objects are displayed for individual images, 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)
{ "globalData": null, "image": { "type": "<numpy>", "shape": [ 837, 1305, 3 ] },
Detected Rectangles 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" }
0 Comments