[bricks] model configuration - refactoring for list of variables

models/models-list.yaml

@@ -3,13 +3,15 @@ models:
     runner: brick
     name : "Lightweight-Face-Detection"
     description: "Face bounding box detection. This model is trained on the WIDER FACE dataset and can detect faces in images."
-    model_configuration:
-      "EI_OBJ_DETECTION_MODEL": "/models/ootb/ei/lw-face-det.eim"
     model_labels: 
       - face
     bricks:
-      - arduino:object_detection
-      - arduino:video_object_detection
+      - arduino:object_detection:
+          model_configuration:
+            "EI_OBJ_DETECTION_MODEL": "/models/ootb/ei/lw-face-det.eim"
+      - arduino:video_object_detection:
+          model_configuration:
+            "EI_V_OBJ_DETECTION_MODEL": "/models/ootb/ei/lw-face-det.eim"
     metadata:
       source: "qualcomm-ai-hub"
       ei-gpu-mode: false
@@ -19,8 +21,6 @@ models:
     runner: brick
     name : "General purpose object detection - YoloX"
     description: "General purpose object detection model based on YoloX-Nano. This model is trained on the COCO dataset and can detect 80 different object classes."
-    model_configuration:
-      "EI_OBJ_DETECTION_MODEL": "/models/ootb/ei/yolo-x-nano.eim"
     model_labels:
       - airplane
       - apple
@@ -109,14 +109,16 @@ models:
       source-model-id: "YOLOX-Nano"
       source-model-url: "https://github.com/Megvii-BaseDetection/YOLOX"
     bricks:
-      - arduino:object_detection
-      - arduino:video_object_detection
+      - arduino:object_detection:
+          model_configuration:
+            "EI_OBJ_DETECTION_MODEL": "/models/ootb/ei/yolo-x-nano.eim"
+      - arduino:video_object_detection:
+          model_configuration:
+            "EI_V_OBJ_DETECTION_MODEL": "/models/ootb/ei/yolo-x-nano.eim"
  - mobilenet-image-classification:
     runner: brick
     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."
-    model_configuration:
-      "EI_CLASSIFICATION_MODEL": "/models/ootb/ei/mobilenet-v2-224px.eim"
     model_labels:
       - abacus
       - abaya
@@ -1077,14 +1079,16 @@ models:
       source-model-id: "MobileNetV2"
       source-model-url: "https://www.tensorflow.org/api_docs/python/tf/keras/applications/MobileNetV2"
     bricks:
-      - arduino:image_classification
-      - arduino:video_image_classification
+      - arduino:image_classification:
+          model_configuration:
+            "EI_CLASSIFICATION_MODEL": "/models/ootb/ei/mobilenet-v2-224px.eim"
+      - arduino:video_image_classification:
+          model_configuration:
+            "EI_V_CLASSIFICATION_MODEL": "/models/ootb/ei/mobilenet-v2-224px.eim"
  - person-classification:
     runner: brick
     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."
-    model_configuration:
-      "EI_CLASSIFICATION_MODEL": "/models/ootb/ei/person-classification.eim"
     model_labels: 
       - "non person"
       - "person"
@@ -1096,28 +1100,30 @@ models:
       source-model-id: "person-classification-wakevision"
       source-model-url: "https://studio.edgeimpulse.com/public/755016/live"
     bricks:
-      - arduino:image_classification
-      - arduino:video_image_classification   
+      - arduino:image_classification:
+          model_configuration:
+            "EI_CLASSIFICATION_MODEL": "/models/ootb/ei/person-classification.eim"
+      - arduino:video_image_classification:
+          model_configuration:
+            "EI_V_CLASSIFICATION_MODEL": "/models/ootb/ei/person-classification.eim"   
  - concreate-crack-anomaly-detection:
     runner: brick
     name : "Concrete crack anomaly detection"
     description: "Anomaly detection model to identify cracks in concrete structures."
-    model_configuration:
-      "EI_V_ANOMALY_DETECTION_MODEL": "/models/ootb/ei/concrete-crack-anomaly-detection.eim" 
     metadata:
       source: "edgeimpulse"
       ei-project-id: 800941
       ei-model-url: "https://studio.edgeimpulse.com/public/800941/live"
       source-model-id: "concrete-crack-anomaly-detection"
       source-model-url: "https://studio.edgeimpulse.com/public/800941/live"
     bricks:
-      - arduino:visual_anomaly_detection
+      - arduino:visual_anomaly_detection:
+          model_configuration:
+            "EI_V_ANOMALY_DETECTION_MODEL": "/models/ootb/ei/concrete-crack-anomaly-detection.eim" 
  - keyword-spotting-hey-arduino:
     runner: brick
     name : "Keyword spotting - Hey Arduino!"
     description: "A keyword-spotting model to detect the 'Hey Arduino!' in audio streams."
-    model_configuration:
-      "EI_KEYWORD_SPOTTING_MODEL": "/models/ootb/ei/keyword-spotting-hey-arduino.eim"
     model_labels: 
       - "background"
       - "hey_arduino"
@@ -1131,13 +1137,13 @@ models:
       source-model-url: "https://studio.edgeimpulse.com/studio/757509/live"
       private: true
     bricks:
-      - arduino:keyword_spotting
+      - arduino:keyword_spotting:
+          model_configuration:
+            "EI_KEYWORD_SPOTTING_MODEL": "/models/ootb/ei/keyword-spotting-hey-arduino.eim"
  - updown-wave-motion-detection:
     runner: brick
     name : "Continuous motion detection"
     description: "A motion detection model designed to identify up/down, wave, and snake movements evalauting accelerometer data."
-    model_configuration:
-      "EI_MOTION_DETECTION_MODEL": "/models/ootb/ei/updown-wave-motion-detection.eim"
     model_labels:
       - idle
       - snake
@@ -1150,27 +1156,27 @@ models:
       source-model-id: "continuous-motion-detection"
       source-model-url: "https://studio.edgeimpulse.com/public/734960/live"
     bricks:
-      - arduino:motion_detection
+      - arduino:motion_detection:
+          model_configuration:
+            "EI_MOTION_DETECTION_MODEL": "/models/ootb/ei/updown-wave-motion-detection.eim"
  - fan-anomaly-detection:
     runner: brick
     name : "Fan anomaly detection"
-    description: "An anomaly detection model designed to identify anomalies in fan operation."
-    model_configuration:
-      "EI_VIBRATION_ANOMALY_DETECTION_MODEL": "/models/ootb/ei/fan-anomaly-detection.eim" 
+    description: "An anomaly detection model designed to identify anomalies in fan operation." 
     metadata:
       source: "edgeimpulse"
       ei-project-id: 774707
       ei-model-url: "https://studio.edgeimpulse.com/public/774707/live"
       source-model-id: "fan-anomaly-detection"
       source-model-url: "https://studio.edgeimpulse.com/public/774707/live"
     bricks:
-      - arduino:vibration_anomaly_detection    
+      - arduino:vibration_anomaly_detection:
+          model_configuration:
+            "EI_VIBRATION_ANOMALY_DETECTION_MODEL": "/models/ootb/ei/fan-anomaly-detection.eim"    
  - glass-breaking:
     runner: brick
     name : "Glass breaking classifier"
     description: "A glass breaking classifier model to detect glass breaking sounds in audio recordings"
-    model_configuration:
-      "EI_AUDIO_CLASSIFICATION_MODEL": "/models/ootb/ei/glass-breaking.eim"
     model_labels:
       - "Background"
       - "Glass_Breaking"
@@ -1182,4 +1188,6 @@ models:
       source-model-url: "https://studio.edgeimpulse.com/public/749446/live"
       private: true
     bricks:
-      - arduino:audio_classification
+      - arduino:audio_classification:
+          model_configuration:
+            "EI_AUDIO_CLASSIFICATION_MODEL": "/models/ootb/ei/glass-breaking.eim"

src/arduino/app_bricks/arduino_cloud/brick_config.yaml

@@ -4,5 +4,8 @@ description: "Connects to Arduino Cloud"
 variables:
 - name: ARDUINO_DEVICE_ID
   description: Arduino Cloud Device ID
+  mandatory: true
 - name: ARDUINO_SECRET
-  description: Arduino Cloud Secret
+  description: Arduino Cloud Secret
+  mandatory: true
+  secret: true

src/arduino/app_bricks/audio_classification/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_AUDIO_CLASSIFICATION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-audio-classifier-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0

src/arduino/app_bricks/audio_classification/brick_config.yaml

@@ -9,3 +9,13 @@ requires_model: true
 model: glass-breaking
 model_configuration_variables:
   - EI_AUDIO_CLASSIFICATION_MODEL
+variables:
+- name: EI_AUDIO_CLASSIFICATION_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true

src/arduino/app_bricks/dbstorage_tsstore/brick_compose.yaml

@@ -1,8 +1,3 @@
-# BIND_ADDRESS = external container address
-# BIND_PORT = container port
-# DB_USERNAME = Edge Impulse project API key
-# DB_PASSWORD = Database password
-# INFLUXDB_ADMIN_TOKEN = InfluxDB admin token
 services:
   dbstorage-influx:
     image: influxdb:2.7

src/arduino/app_bricks/dbstorage_tsstore/brick_config.yaml

@@ -2,4 +2,17 @@ id: arduino:dbstorage_tsstore
 name: Database - Time Series
 description: "Simplified time series database storage layer for Arduino sensor samples built on top of InfluxDB."
 requires_container: true
-category: storage
+category: storage
+variables:
+- name: DB_USERNAME
+  description: Database username
+  default_value: admin
+- name: DB_PASSWORD
+  description: Database password
+  default_value: Arduino15
+- name: INFLUXDB_ADMIN_TOKEN
+  description: InfluxDB admin token
+  default_value: 392edbf2-b8a2-481f-979d-3f188b2c05f0  
+- name: BIND_ADDRESS
+  description: External container address
+  private: true

src/arduino/app_bricks/image_classification/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_CLASSIFICATION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-classification-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0

src/arduino/app_bricks/image_classification/brick_config.yaml

@@ -9,3 +9,13 @@ requires_model: true
 model: mobilenet-image-classification
 model_configuration_variables:
   - EI_CLASSIFICATION_MODEL
+variables:
+- name: EI_CLASSIFICATION_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true

src/arduino/app_bricks/keyword_spotting/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_KEYWORD_SPOTTING_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-keyword-spot-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0

src/arduino/app_bricks/keyword_spotting/brick_config.yaml

@@ -11,3 +11,13 @@ requires_model: true
 model: keyword-spotting-hey-arduino
 model_configuration_variables:
   - EI_KEYWORD_SPOTTING_MODEL
+variables:
+- name: EI_KEYWORD_SPOTTING_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true

src/arduino/app_bricks/motion_detection/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_MOTION_DETECTION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-motion-detection-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0

src/arduino/app_bricks/motion_detection/brick_config.yaml

@@ -9,3 +9,13 @@ requires_model: true
 model: updown-wave-motion-detection
 model_configuration_variables:
   - EI_MOTION_DETECTION_MODEL
+variables:
+- name: EI_MOTION_DETECTION_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true

src/arduino/app_bricks/object_detection/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_OBJ_DETECTION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-obj-detection-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0

src/arduino/app_bricks/object_detection/brick_config.yaml

@@ -8,4 +8,14 @@ requires_container: true
 requires_model: true
 model: yolox-object-detection
 model_configuration_variables:
-  - EI_OBJ_DETECTION_MODEL
+  - EI_OBJ_DETECTION_MODEL
+variables:
+- name: EI_OBJ_DETECTION_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true  

src/arduino/app_bricks/vibration_anomaly_detection/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_MOTION_DETECTION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-anomaly-detection-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0

src/arduino/app_bricks/vibration_anomaly_detection/brick_config.yaml

@@ -9,3 +9,13 @@ requires_model: true
 model: fan-anomaly-detection
 model_configuration_variables:
   - EI_VIBRATION_ANOMALY_DETECTION_MODEL
+variables:
+- name: EI_VIBRATION_ANOMALY_DETECTION_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true

src/arduino/app_bricks/video_imageclassification/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_CLASSIFICATION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-video-classification-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0
@@ -13,7 +11,7 @@ services:
     volumes:
       - "${CUSTOM_MODEL_PATH:-/home/arduino/.arduino-bricks/ei-models/}:${CUSTOM_MODEL_PATH:-/home/arduino/.arduino-bricks/ei-models/}"
       - "/run/udev:/run/udev"
-    command: ["--model-file", "${EI_CLASSIFICATION_MODEL:-/models/ootb/ei/mobilenet-v2-224px.eim}", "--dont-print-predictions", "--mode", "streaming", "--preview-original-resolution", "--camera", "${VIDEO_DEVICE:-/dev/video1}"]
+    command: ["--model-file", "${EI_V_CLASSIFICATION_MODEL:-/models/ootb/ei/mobilenet-v2-224px.eim}", "--dont-print-predictions", "--mode", "streaming", "--preview-original-resolution", "--camera", "${VIDEO_DEVICE:-/dev/video1}"]
     healthcheck:
       test: [ "CMD-SHELL", "wget -q --spider http://ei-video-classification-runner:4912 || exit 1" ]
       interval: 2s

src/arduino/app_bricks/video_imageclassification/brick_config.yaml

@@ -13,4 +13,14 @@ required_devices:
   - camera
 model: mobilenet-image-classification
 model_configuration_variables:
-  - EI_CLASSIFICATION_MODEL  
+  - EI_V_CLASSIFICATION_MODEL
+variables:
+- name: EI_V_CLASSIFICATION_MODEL
+  description: Path to the model file
+  private: true
+- name: CUSTOM_MODEL_PATH
+  description: Path to the custom model directory
+  private: true
+- name: BIND_ADDRESS
+  description: Bind address
+  private: true    

src/arduino/app_bricks/video_objectdetection/brick_compose.yaml

@@ -1,5 +1,3 @@
-# EI_OBJ_DETECTION_MODEL = path to the model file
-# CUSTOM_MODEL_PATH = path to the custom model directory
 services:
   ei-video-obj-detection-runner:
     image: ${DOCKER_REGISTRY_BASE:-ghcr.io/arduino/}app-bricks/ei-models-runner:0.6.0
@@ -13,7 +11,7 @@ services:
     volumes:
       - "${CUSTOM_MODEL_PATH:-/home/arduino/.arduino-bricks/ei-models/}:${CUSTOM_MODEL_PATH:-/home/arduino/.arduino-bricks/ei-models/}"
       - "/run/udev:/run/udev"
-    command: ["--model-file", "${EI_OBJ_DETECTION_MODEL:-/models/ootb/ei/yolo-x-nano.eim}", "--dont-print-predictions", "--mode", "streaming", "--preview-original-resolution", "--camera", "${VIDEO_DEVICE:-/dev/video1}"]
+    command: ["--model-file", "${EI_V_OBJ_DETECTION_MODEL:-/models/ootb/ei/yolo-x-nano.eim}", "--dont-print-predictions", "--mode", "streaming", "--preview-original-resolution", "--camera", "${VIDEO_DEVICE:-/dev/video1}"]
     healthcheck:
       test: [ "CMD-SHELL", "wget -q --spider http://ei-video-obj-detection-runner:4912 || exit 1" ]
       interval: 2s