metadata:
  name: openvino-dextr
  namespace: cvat
  annotations:
    name: DEXTR
    type: interactor
    spec:
    framework: openvino
    min_pos_points: 4
    animated_gif: https://raw.githubusercontent.com/cvat-ai/cvat/0fbb19ae3846a017853d52e187f0ce149adced7d/site/content/en/images/dextr_example.gif
    help_message: The interactor allows to get a mask of an object using its extreme points (more or equal than 4). You can add a point left-clicking the image

spec:
  description: Deep Extreme Cut
  runtime: 'python:3.6'
  handler: main:handler
  eventTimeout: 30s
  env:
    - name: NUCLIO_PYTHON_EXE_PATH
      value: /opt/nuclio/common/openvino/python3

  volumes:
    - volume:
        name: openvino-common
        configMap:
          name: "cvat-nuclio-openvino-common"
          defaultMode: 0750
      volumeMount:
        name: openvino-common
        mountPath: /opt/nuclio/common/openvino

  build:
    image: cvat/openvino.dextr
    baseImage: openvino/ubuntu18_runtime:2020.2

    directives:
      preCopy:
        - kind: USER
          value: root
        - kind: WORKDIR
          value: /opt/nuclio
        - kind: RUN
          value: ln -s /usr/bin/pip3 /usr/bin/pip

      postCopy:
        - kind: RUN
          value: curl -O https://download.01.org/openvinotoolkit/models_contrib/cvat/dextr_model_v1.zip
        - kind: RUN
          value: unzip dextr_model_v1.zip
        - kind: RUN
          value: pip3 install -U pip && pip3 install wheel Pillow

  triggers:
    myHttpTrigger:
      maxWorkers: 2
      kind: 'http'
      workerAvailabilityTimeoutMilliseconds: 10000
      attributes:
        maxRequestBodySize: 33554432 # 32MB

  platform:
    attributes:
      restartPolicy:
        name: always
        maximumRetryCount: 3
      mountMode: volume