conf files updated to hydra 1.1

Author: liubigli

conf/config.yaml

@@ -1,21 +1,16 @@
-defaults: # for loading the default config
-  - task: ??? # Task performed (segmentation, classification etc...)
-    optional: True
-  - model_type: ??? # Type of model to use, e.g. pointnet2, rsconv etc...
-    optional: True
-  - dataset: ???
-    optional: True
+defaults: # for loading the default.yaml config
+  - task: ???
 
   - visualization: default
   - lr_scheduler: exponential
   - training: default
-
-  - debugging: default.yaml
-  - models: ${defaults.0.task}/${defaults.1.model_type}
-  - data: ${defaults.0.task}/${defaults.2.dataset}
+#
+  - debugging: default
+  - models: ???
+  - data: ???
   - sota # Contains current SOTA results on different datasets (extracted from papers !).
-  - hydra/job_logging: custom
-  - hydra/output: custom  # add the support for user-defined experiment folder (where to save the experiment files)
+#  - hydra/job_logging: custom
+#  - hydra/output: custom  # add the support for user-defined experiment folder (where to save the experiment files)
 
 job_name: benchmark # prefix name for saving the experiment file.
 model_name: ??? # Name of the specific model to load
@@ -27,4 +22,4 @@ eval_frequency: 1
 tracker_options: # Extra options for the tracker
   full_res: False
   make_submission: False
-  track_boxes: False
+  track_boxes: False

conf/data/classification/modelnet.yaml

@@ -1,16 +1,18 @@
-data:
-    task: classification
-    class: modelnet.ModelNetDataset
-    name: modelnet
-    dataroot: data
-    number: 10
-    pre_transforms:
-        - transform: NormalizeScale
-        - transform: GridSampling3D
-            lparams: [0.02]
-    train_transforms:
-        - transform: FixedPoints
-            lparams: [2048]
-    test_transforms:
-        - transform: FixedPoints
-            lparams: [2048]
+# @package data
+defaults:
+    - classification/default
+
+class: modelnet.ModelNetDataset
+name: modelnet
+dataroot: data
+number: 10
+pre_transforms:
+    - transform: NormalizeScale
+    - transform: GridSampling3D
+        lparams: [0.02]
+train_transforms:
+    - transform: FixedPoints
+        lparams: [2048]
+test_transforms:
+    - transform: FixedPoints
+        lparams: [2048]

conf/data/object_detection/scannet-fixed.yaml

@@ -1,33 +1,35 @@
-data:
-  class: scannet.ScannetDataset
-  dataset_name: "scannet-sparse"
-  task: object_detection
-  dataroot: data
-  version: "v2"
-  use_instance_labels: True
-  use_instance_bboxes: True
-  donotcare_class_ids: []
-  process_workers: 8
+# @package data
+defaults:
+  - object_detection/default
 
-  train_transform:
-    - transform: FixedPoints
-      lparams: [50000]
-    - transform: RandomNoise
-      params:
-        sigma: 0.01
-        clip: 0.05
-    - transform: RandomScaleAnisotropic
-      params:
-        scales: [0.9, 1.1]
-    - transform: RandomSymmetry
-      params:
-        axis: [True, False, False]
-    - transform: Random3AxisRotation
-      params:
-        rot_x: 2
-        rot_y: 2
-        rot_z: 180
+class: scannet.ScannetDataset
+dataset_name: "scannet-sparse"
+dataroot: data
+version: "v2"
+use_instance_labels: True
+use_instance_bboxes: True
+donotcare_class_ids: []
+process_workers: 8
 
-  val_transform:
-    - transform: FixedPoints
-      lparams: [50000]
+train_transform:
+  - transform: FixedPoints
+    lparams: [50000]
+  - transform: RandomNoise
+    params:
+      sigma: 0.01
+      clip: 0.05
+  - transform: RandomScaleAnisotropic
+    params:
+      scales: [0.9, 1.1]
+  - transform: RandomSymmetry
+    params:
+      axis: [True, False, False]
+  - transform: Random3AxisRotation
+    params:
+      rot_x: 2
+      rot_y: 2
+      rot_z: 180
+
+val_transform:
+  - transform: FixedPoints
+    lparams: [50000]

conf/data/object_detection/scannet-sparse.yaml

@@ -1,75 +1,77 @@
-data:
-  class: scannet.ScannetDataset
-  dataset_name: "scannet-sparse"
-  task: object_detection
-  dataroot: data
-  version: "v2"
-  use_instance_labels: True
-  use_instance_bboxes: True
-  donotcare_class_ids: []
-  process_workers: 8
+# @package data
+defaults:
+  - object_detection/default
 
-  grid_size: 0.05
-  mode: last
+class: scannet.ScannetDataset
+dataset_name: "scannet-sparse"
+dataroot: data
+version: "v2"
+use_instance_labels: True
+use_instance_bboxes: True
+donotcare_class_ids: []
+process_workers: 8
 
-  pre_transform:
-    - transform: GridSampling3D
-      lparams: [0.02]
+grid_size: 0.05
+mode: last
 
-  train_transform:
-    - transform: XYZFeature
-      params:
-        add_x: True
-        add_y: True
-        add_z: True
-    - transform: RandomNoise
-      params:
-        sigma: 0.01
-        clip: 0.05
-    - transform: RandomScaleAnisotropic
-      params:
-        scales: [0.9, 1.1]
-    - transform: RandomSymmetry
-      params:
-        axis: [True, False, False]
-    - transform: Random3AxisRotation
-      params:
-        rot_x: 2
-        rot_y: 2
-        rot_z: 180
-    - transform: GridSampling3D
-      params:
-        size: ${data.grid_size}
-        quantize_coords: True
-        mode: ${data.mode}
-    - transform: FixedPoints
-      lparams: [50000]
-      params:
-        replace: False
-    - transform: ShiftVoxels
-    - transform: AddFeatsByKeys
-      params:
-        list_add_to_x: [True, True, True]
-        feat_names: ["pos_x", "pos_y", "pos_z"]
-        delete_feats: [True, True, True]
+pre_transform:
+  - transform: GridSampling3D
+    lparams: [0.02]
 
-  val_transform:
-    - transform: XYZFeature
-      params:
-        add_x: True
-        add_y: True
-        add_z: True
-    - transform: GridSampling3D
-      params:
-        size: ${data.grid_size}
-        quantize_coords: True
-        mode: ${data.mode}
-    - transform: FixedPoints
-      lparams: [50000]
-      params:
-        replace: False
-    - transform: AddFeatsByKeys
-      params:
-        list_add_to_x: [True, True, True]
-        feat_names: ["pos_x", "pos_y", "pos_z"]
-        delete_feats: [True, True, True]
+train_transform:
+  - transform: XYZFeature
+    params:
+      add_x: True
+      add_y: True
+      add_z: True
+  - transform: RandomNoise
+    params:
+      sigma: 0.01
+      clip: 0.05
+  - transform: RandomScaleAnisotropic
+    params:
+      scales: [0.9, 1.1]
+  - transform: RandomSymmetry
+    params:
+      axis: [True, False, False]
+  - transform: Random3AxisRotation
+    params:
+      rot_x: 2
+      rot_y: 2
+      rot_z: 180
+  - transform: GridSampling3D
+    params:
+      size: ${data.grid_size}
+      quantize_coords: True
+      mode: ${data.mode}
+  - transform: FixedPoints
+    lparams: [50000]
+    params:
+      replace: False
+  - transform: ShiftVoxels
+  - transform: AddFeatsByKeys
+    params:
+      list_add_to_x: [True, True, True]
+      feat_names: ["pos_x", "pos_y", "pos_z"]
+      delete_feats: [True, True, True]
+
+val_transform:
+  - transform: XYZFeature
+    params:
+      add_x: True
+      add_y: True
+      add_z: True
+  - transform: GridSampling3D
+    params:
+      size: ${data.grid_size}
+      quantize_coords: True
+      mode: ${data.mode}
+  - transform: FixedPoints
+    lparams: [50000]
+    params:
+      replace: False
+  - transform: AddFeatsByKeys
+    params:
+      list_add_to_x: [True, True, True]
+      feat_names: ["pos_x", "pos_y", "pos_z"]
+      delete_feats: [True, True, True]