From 92142d2e83935f540da684719aef3bc5c844a049 Mon Sep 17 00:00:00 2001
From: Cedric Verstraeten <cverstraeten@uug.ai>
Date: Wed, 27 Nov 2024 18:26:54 +0100
Subject: [PATCH] update password + add yolov8 deployment

---
 kerberos-hub-values.yaml |   2 +-
 kerberos-hub-yolov8.yaml | 103 +++++++++++++++++++++++++++++++++++++++
 2 files changed, 104 insertions(+), 1 deletion(-)
 create mode 100644 kerberos-hub-yolov8.yaml

diff --git a/kerberos-hub-values.yaml b/kerberos-hub-values.yaml
index e8d176a..3a03a7f 100644
--- a/kerberos-hub-values.yaml
+++ b/kerberos-hub-values.yaml
@@ -90,7 +90,7 @@ kerberosvault:
   uri: http://vault-nodeport.kerberos-vault:80
   provider: "minio"
   accesskey: "XJoi2@bgSOvOYBy#"
-  secretkey: " OGGqat4lXRpL@9XBYc8FUaId@5"
+  secretkey: "OGGqat4lXRpL@9XBYc8FUaId@5"
   # Archiving is used when creating a task. The underlying recording of the task will be copied from its
   # existing provider to the below archived provider. Seperate credentials are used, as it makes possible to
   # specify another retention period.
diff --git a/kerberos-hub-yolov8.yaml b/kerberos-hub-yolov8.yaml
new file mode 100644
index 0000000..570c9d7
--- /dev/null
+++ b/kerberos-hub-yolov8.yaml
@@ -0,0 +1,103 @@
+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:
+            requests:
+              #nvidia.com/gpu: 1 # requesting a single GPU
+              cpu: 500m
+              memory: 1Gi
+            limits:
+              cpu: 500m
+              memory: 1Gi
+          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-nodeport.kerberos-vault:80"
+            - name: STORAGE_ACCESS_KEY
+              value: "XJoi2@bgSOvOYBy#"
+            - name: STORAGE_SECRET_KEY
+              value: "OGGqat4lXRpL@9XBYc8FUaId@5"
+
+            # 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"
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