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dronescapes

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dronescapes
File size: 2,539 Bytes 
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vre:
  start_frame: ${oc.env:VRE_START_IX}
  end_frame: ${oc.env:VRE_END_IX,null}
  export_npy: True
  export_png: True
  exception_mode: skip_representation

representations:
  rgb:
    type: default
    name: rgb
    dependencies: []
    parameters: {}

  hsv:
    type: default
    name: hsv
    dependencies: []
    parameters: {}

  halftone1:
    type: soft-segmentation
    name: python-halftone
    dependencies: []
    parameters:
      sample: 3
      scale: 1
      percentage: 91
      angles: [0, 15, 30, 45]
      antialias: False
      resolution: [240, 426]

  edges_canny:
    type: edges
    name: canny
    dependencies: []
    parameters:
      threshold1: 100
      threshold2: 200
      aperture_size: 3
      l2_gradient: True

  softseg_kmeans:
    type: soft-segmentation
    name: kmeans
    dependencies: []
    parameters:
      n_clusters: 6
      epsilon: 2
      max_iterations: 10
      attempts: 3

  softseg_gb:
    type: soft-segmentation
    name: generalized_boundaries
    dependencies: []
    parameters:
      use_median_filtering: True
      adjust_to_rgb: True
      max_channels: 3

  edges_dexined:
    type: edges
    name: dexined
    dependencies: []
    parameters: {} 
    batch_size: 15
    vre_parameters:
      device: ${oc.env:VRE_DEVICE,cpu}

  fastsam(s):
    type: semantic_segmentation
    name: fastsam
    dependencies: []
    parameters:
      variant: fastsam-s
      iou: 0.9
      conf: 0.4
    vre_parameters:
      device: ${oc.env:VRE_DEVICE,cpu}

  depth_dpt:
    type: depth
    name: dpt
    dependencies: []
    parameters: {}
    batch_size: 10
    vre_parameters:
      device: ${oc.env:VRE_DEVICE,cpu}

  semantic_mask2former_swin_coco:
    type: semantic_segmentation
    name: mask2former
    dependencies: []
    batch_size: 1
    parameters:
      model_id: "47429163_0"
      semantic_argmax_only: True
    vre_parameters:
      device: ${oc.env:VRE_DEVICE,cpu}

  semantic_mask2former_swin_mapilary:
    type: semantic_segmentation
    name: mask2former
    dependencies: []
    batch_size: 1
    parameters:
      model_id: "49189528_0"
      semantic_argmax_only: True
    vre_parameters:
      device: ${oc.env:VRE_DEVICE,cpu}

  # only works if fps is also set (for images) via --frame_rate in cli. For videos, it works just fine.
  opticalflow_rife:
    type: optical-flow
    name: rife
    dependencies: []
    batch_size: 15
    parameters:
      uhd: False
      compute_backward_flow: False
    vre_parameters:
      device: ${oc.env:VRE_DEVICE,cpu}