add compatible models in brickinstance details

[mirkoCrobu]

Motivation

closes #89

When a brick is assigned to an app, the FE must show the list of other compatible models for the installed brick.
For example when a new model is selected for a given brick installed into an app.

Change Description

 curl 127.0.0.1:8800/v1/apps/ZXhhbXBsZXM6dmlkZW8tZmFjZS1kZXRlY3Rpb24/bricks/arduino:video_object_detection 
{
  "id": "arduino:video_object_detection",
  "name": "Video Object Detection",
  "author": "Arduino",
  "category": "",
  "status": "installed",
  "variables": {
    "CUSTOM_MODEL_PATH": "/home/arduino/.arduino-bricks/ei-models/",
    "EI_OBJ_DETECTION_MODEL": "/models/ootb/ei/yolo-x-nano.eim",
    "VIDEO_DEVICE": "/dev/video1"
  },
  "config_variables": [
    {
      "name": "CUSTOM_MODEL_PATH",
      "value": "/home/arduino/.arduino-bricks/ei-models/",
      "description": "path to the custom model directory",
      "required": false
    },
    {
      "name": "EI_OBJ_DETECTION_MODEL",
      "value": "/models/ootb/ei/yolo-x-nano.eim",
      "description": "path to the model file",
      "required": false
    },
    {
      "name": "VIDEO_DEVICE",
      "value": "/dev/video1",
      "description": "",
      "required": false
    }
  ],
  "model": "face-detection"

   // the list of compatible models for the brick with minimal info.
   "models":[
       {
        "id": "yolox-object-detection",
        "name": "General purpose object detection - YoloX",
        "description": "",
  
         // TODO: what to show in the  "more info" button? Maybe only the "url"? 
      },
      {
        "id": "face-detection",
        "name": "Lightweight-Face-Detection",
        "description": "Face bounding box detection. This model is trained on the WIDER FACE dataset and can detect faces in images.",
      },
    },
    {
      "id": "arduino:web_ui",
      "name": "WebUI - HTML",
      "author": "Arduino",
      "category": "ui",
      "status": "installed"
    }
  ]
}

Additional Notes

Reviewer checklist

• PR addresses a single concern.
• PR title and description are properly filled.
• Changes will be merged in main.
• Changes are covered by tests.
• Logging is meaningful in case of troubleshooting.

[mirkoCrobu]

Response:

GET http://localhost:8080/v1/apps/ZXhhbXBsZXM6aW1hZ2UtY2xhc3NpZmljYXRpb24/bricks/arduino:image_classification

{
    "id": "arduino:image_classification",
    "name": "Image Classification",
    "author": "Arduino",
    "category": "video",
    "status": "installed",
    "variables": {
        "CUSTOM_MODEL_PATH": "/home/arduino/.arduino-bricks/ei-models",
        "EI_CLASSIFICATION_MODEL": "/models/ootb/ei/mobilenet-v2-224px.eim"
    },
    "config_variables": [
        {
            "name": "CUSTOM_MODEL_PATH",
            "value": "/home/arduino/.arduino-bricks/ei-models",
            "description": "path to the custom model directory",
            "required": false
        },
        {
            "name": "EI_CLASSIFICATION_MODEL",
            "value": "/models/ootb/ei/mobilenet-v2-224px.eim",
            "description": "path to the model file",
            "required": false
        }
    ],
    "model": "mobilenet-image-classification",
    "compatible_models": [
        {
            "id": "mobilenet-image-classification",
            "name": "General purpose image classification",
            "description": "General purpose image classification model based on MobileNetV2. This model is trained on the ImageNet dataset and can classify images into 1000 categories."
        },
        {
            "id": "person-classification",
            "name": "Person classification",
            "description": "Person classification model based on WakeVision dataset. This model is trained to classify images into two categories: person and not-person."
        }
    ]
}

[mirkoCrobu]

In the compatible_models section, should we also include the current model used, specified in the model field?
What do you think, @dido18? Should we check with the Design team?