|
- apiVersion: 'serving.kubeflow.org/v1alpha2'
- kind: 'InferenceService'
- metadata:
- name: semantic-segmentation-adas-0001
- namespace: kfserving-system
- annotations:
- name: Semantic segmentation for ADAS
- type: detector
- id: semantic-segmentation-adas-0001
- spec: |
- [
- { "id": 0, "name": "road" },
- { "id": 1, "name": "sidewalk" },
- { "id": 2, "name": "building" },
- { "id": 3, "name": "wall" },
- { "id": 4, "name": "fence" },
- { "id": 5, "name": "pole" },
- { "id": 6, "name": "traffic light" },
- { "id": 7, "name": "traffic sign" },
- { "id": 8, "name": "vegetation" },
- { "id": 9, "name": "terrain" },
- { "id": 10, "name": "sky" },
- { "id": 11, "name": "person" },
- { "id": 12, "name": "rider" },
- { "id": 13, "name": "car" },
- { "id": 14, "name": "truck" },
- { "id": 15, "name": "bus" },
- { "id": 16, "name": "train" },
- { "id": 17, "name": "motorcycle" },
- { "id": 18, "name": "bicycle" },
- { "id": 19, "name": "ego-vehicle" },
- { "id": 20, "name": "background" }
- ]
- framework: openvino
- description: 'Segmentation network to classify each pixel into typical 20 classes for ADAS'
- labels:
- inference: system
-
- spec:
- default:
- predictor:
- minReplicas: 1
- maxReplicas: 1
- custom:
- resources:
- limits:
- memory: 5G
- requests:
- cpu: 100m
- container:
- name: kfserving-container
- image: harbor.apulis.cn:8443/aiarts_v1.6.0_rc4_single/apulistech/openvino.omz.intel.semantic-segmentation-adas-0001:latest
-
- args: ['--model_name=semantic-segmentation-adas-0001']
|