add k8s-deployment file + release docker hub

.github/workflows/docker-publish.yml

@@ -0,0 +1,29 @@
+name: Build and Publish Docker Image
+on:
+  release:
+    types: [created]
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v2
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v1
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v1
+        with:
+          username: ${{ secrets.DOCKER_USERNAME }}
+          password: ${{ secrets.DOCKER_PASSWORD }}
+      - name: Build and push Docker image with latest tag
+        uses: docker/build-push-action@v2
+        with:
+          context: .
+          push: true
+          tags: uugai/hub-yolov8:latest
+      - name: Build and push Docker image with release tag
+        uses: docker/build-push-action@v2
+        with:
+          context: .
+          push: true
+          tags: uugai/hub-yolov8:${{ github.ref_name }}

k8s-deployment.yaml

@@ -0,0 +1,100 @@
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: hub-yolov8
+  labels:
+    app: hub-yolov8
+spec:
+  replicas: 1
+  selector:
+    matchLabels:
+      app: hub-yolov8
+  template:
+    metadata:
+      labels:
+        app: hub-yolov8
+    spec:
+      containers:
+        - name: hub-yolov8
+          image: uugai/hub-yolov8:latest
+          resources:
+            limits:
+              nvidia.com/gpu: 1 # requesting a single GPU
+              cpu: 2
+              memory: 2Gi
+          env: 
+            # Queue parameters
+            - name: QUEUE_NAME
+              value: "kcloud-classify-queue.fifo" # This is the topic of RabbitMQ we will read messages from.
+            - name: TARGET_QUEUE_NAME
+              value: "kcloud-analysis-queue" # Once we processed the recording with ML, we will send results/metadata to a target topic of RabbitMQ.
+            - name: QUEUE_HOST
+              value: rabbitmq.rabbitmq:5672
+            - name: QUEUE_EXCHANGE
+            - name: QUEUE_USERNAME
+              value: yourusername
+            - name: QUEUE_PASSWORD
+              value: yourpassword
+
+            # Kerberos Vault parameters
+            - name: STORAGE_URI
+              value: "http://vault-lb.kerberos-vault/api"
+            - name: STORAGE_ACCESS_KEY
+              value: "52gyELgxutOXUWhF"
+            - name: STORAGE_SECRET_KEY
+              value: "k8DrcB@hQ5XfxDENzDKcnkxBHx"
+
+            # YOLOv8 parameters
+            - name: MODEL_NAME
+              value: "yolov8n.pt"
+            - name: MEDIA_SAVEPATH
+              value: "/ml/data/input/video.mp4"
+
+            - name: LOGGING
+              value: "True"
+            - name: PLOT
+              value: "False"
+            - name: SAVE_VIDEO
+              value: "False"
+            - name: OUTPUT_MEDIA_SAVEPATH
+              value: "path/to/your/output_video.mp4"
+
+            - name: CREATE_BBOX_FRAME
+              value: "False"
+            - name: SAVE_BBOX_FRAME
+              value: "False"
+            - name: BBOX_FRAME_SAVEPATH
+              value: "path/to/your/output_bbox.jpg"
+
+            - name: CREATE_RETURN_JSON
+              value: "True"
+            - name: SAVE_RETURN_JSON
+              value: "False"
+            - name: RETURN_JSON_SAVEPATH
+              value: "path/to/your/output_json.json"
+
+            - name: TIME_VERBOSE
+              value: "True"
+
+            - name: CLASSIFICATION_FPS
+              value: "3"
+            - name: CLASSIFICATION_THRESHOLD
+              value: "0.3"
+            - name: MIN_DETECTIONS
+              value: "5"
+            - name: MIN_DISTANCE
+              value: "150"
+            - name: MIN_STATIC_DISTANCE
+              value: "0"
+            - name: MAX_NUMBER_OF_PREDICTIONS
+              value: "100"
+            - name: FIND_DOMINANT_COLORS
+              value: "False"
+            - name: ALLOWED_CLASSIFICATIONS
+              value: "0, 1, 2, 3, 5, 7, 14, 15, 16, 24, 26, 28"
+            - name: COLOR_PREDICTION_INTERVAL
+              value: "5"
+            - name: MIN_CLUSTERS
+              value: "4"
+            - name: MAX_CLUSTERS
+              value: "4"

utils/ClassificationObject.py

@@ -199,7 +199,7 @@ def edit_is_static(self):
 
         """
 
-        if self.static_distance <= int(os.getenv('MIN_STATIC_DISTANCE')) and self.distance >= int(os.getenv('MIN_DISTANCE')):
+        if self.static_distance <= int(os.getenv('MIN_STATIC_DISTANCE')):
             self.is_static = True
         else:
             self.is_static = False