diff --git a/base/hub/kerberos-hub-values.yaml b/base/hub/kerberos-hub-values.yaml index 80d32d6..56dd024 100644 --- a/base/hub/kerberos-hub-values.yaml +++ b/base/hub/kerberos-hub-values.yaml @@ -101,15 +101,15 @@ kerberosvault: archive: provider: "minio" accesskey: "XJoi2@bgSOvOYBy#" - secretkey: " OGGqat4lXRpL@9XBYc8FUaId@5" + secretkey: "OGGqat4lXRpL@9XBYc8FUaId@5" thumbnail: provider: "minio" accessKey: "XJoi2@bgSOvOYBy#" - secretKey: " OGGqat4lXRpL@9XBYc8FUaId@5" + secretKey: "OGGqat4lXRpL@9XBYc8FUaId@5" sprite: provider: "minio" accessKey: "XJoi2@bgSOvOYBy#" - secretKey: " OGGqat4lXRpL@9XBYc8FUaId@5" + secretKey: "OGGqat4lXRpL@9XBYc8FUaId@5" email: provider: "mailgun" from: "support@yourdomain.com" diff --git a/base/hub/kerberos-hub-yolov8.yaml b/base/hub/kerberos-hub-yolov8.yaml index ef04704..7e7eed7 100644 --- a/base/hub/kerberos-hub-yolov8.yaml +++ b/base/hub/kerberos-hub-yolov8.yaml @@ -22,7 +22,9 @@ spec: # nvidia.com/gpu: 1 # requesting a single GPU env: - name: QUEUE_NAME - value: "data-filtering" # This is the topic of kafka we will read messages from. + value: "kcloud-classify-queue.fifo" # This is the topic of kafka 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 Kafka. - name: QUEUE_HOST value: rabbitmq.rabbitmq:5672 - name: QUEUE_EXCHANGE @@ -73,17 +75,17 @@ spec: value: "True" - name: CLASSIFICATION_FPS - value: "3" + value: "1" - name: CLASSIFICATION_THRESHOLD value: "0.3" - name: MIN_DETECTIONS - value: "5" + value: "1" - name: MIN_DISTANCE - value: "150" + value: "0" - name: MIN_STATIC_DISTANCE value: "0" - name: MAX_NUMBER_OF_PREDICTIONS - value: "100" + value: "10" - name: FIND_DOMINANT_COLORS value: "False" - name: ALLOWED_CLASSIFICATIONS @@ -93,4 +95,4 @@ spec: - name: MIN_CLUSTERS value: "4" - name: MAX_CLUSTERS - value: "4" \ No newline at end of file + value: "4"