added newer representations for VRE

scripts/cfg.yaml

@@ -7,20 +7,17 @@ vre:
 
 representations:
   rgb:
-    type: default
-    name: rgb
+    type: default/rgb
     dependencies: []
     parameters: {}
 
   hsv:
-    type: default
-    name: hsv
+    type: default/hsv
     dependencies: []
     parameters: {}
 
   halftone1:
-    type: soft-segmentation
-    name: python-halftone
+    type: soft-segmentation/python-halftone
     dependencies: []
     parameters:
       sample: 3
@@ -31,8 +28,7 @@ representations:
       resolution: [240, 426]
 
   edges_canny:
-    type: edges
-    name: canny
+    type: edges/canny
     dependencies: []
     parameters:
       threshold1: 100
@@ -40,19 +36,8 @@ representations:
       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
+    type: soft-segmentation/generalized_boundaries
     dependencies: []
     parameters:
       use_median_filtering: True
@@ -60,64 +45,63 @@ representations:
       max_channels: 3
 
   edges_dexined:
-    type: edges
-    name: dexined
+    type: edges/dexined
     dependencies: []
     parameters: {}
     batch_size: 15
-    vre_parameters:
-      device: ${oc.env:VRE_DEVICE,cpu}
+    device: ${oc.env:VRE_DEVICE,cpu}
 
   fastsam(s):
-    type: semantic_segmentation
-    name: fastsam
+    type: semantic-segmentation/fastsam
     dependencies: []
     parameters:
       variant: fastsam-s
       iou: 0.9
       conf: 0.4
-    vre_parameters:
-      device: ${oc.env:VRE_DEVICE,cpu}
+    device: ${oc.env:VRE_DEVICE,cpu}
 
   depth_dpt:
-    type: depth
-    name: dpt
+    type: depth/dpt
     dependencies: []
     parameters: {}
     batch_size: 10
-    vre_parameters:
-      device: ${oc.env:VRE_DEVICE,cpu}
+    device: ${oc.env:VRE_DEVICE,cpu}
 
-  semantic_mask2former_swin_coco:
-    type: semantic_segmentation
-    name: mask2former
+  # 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/rife
+    dependencies: []
+    batch_size: 15
+    parameters:
+      uhd: False
+      compute_backward_flow: False
+    device: ${oc.env:VRE_DEVICE,cpu}
+
+  semantic_mask2former_coco_47429163_0:
+    type: semantic-segmentation/mask2former
     dependencies: []
-    batch_size: 1
     parameters:
       model_id: "47429163_0"
       semantic_argmax_only: True
-    vre_parameters:
-      device: ${oc.env:VRE_DEVICE,cpu}
+    batch_size: 1
+    device: ${oc.env:VRE_DEVICE,cpu}
 
-  semantic_mask2former_swin_mapilary:
-    type: semantic_segmentation
-    name: mask2former
+  semantic_mask2former_mapillary_49189528_0:
+    type: semantic-segmentation/mask2former
     dependencies: []
-    batch_size: 1
     parameters:
       model_id: "49189528_0"
       semantic_argmax_only: True
-    vre_parameters:
-      device: ${oc.env:VRE_DEVICE,cpu}
+    batch_size: 1
+    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
+  depth_marigold:
+    type: depth/marigold
     dependencies: []
-    batch_size: 15
     parameters:
-      uhd: False
-      compute_backward_flow: False
-    vre_parameters:
-      device: ${oc.env:VRE_DEVICE,cpu}
+      variant: marigold-lcm-v1-0
+      denoising_steps: 4
+      ensemble_size: 1
+      processing_resolution: 768
+    batch_size: 15
+    device: ${oc.env:VRE_DEVICE,cpu}