AC configs: fix yamllint warnings and errors

Author: eaidova

tools/accuracy_checker/configs/asl-recognition-0004.yml

@@ -36,19 +36,19 @@ models:
             layout: NCDHW
 
     datasets:
-    - name: msasl-100
+      - name: msasl-100
 
-      preprocessing:
-        - type: resize
-          size: 256
-          aspect_ratio_scale: greater
-        - type: crop
-          size: 224
-        - type: bgr_to_rgb
+        preprocessing:
+          - type: resize
+            size: 256
+            aspect_ratio_scale: greater
+          - type: crop
+            size: 224
+          - type: bgr_to_rgb
 
-      metrics:
-        - type: accuracy
-          name: rank@1
-          top_k: 1
+        metrics:
+          - type: accuracy
+            name: rank@1
+            top_k: 1
 
 global_definitions: ../dataset_definitions.yml

tools/accuracy_checker/configs/brain-tumor-segmentation-0002.yml

@@ -8,31 +8,31 @@ models:
         model:   public/brain-tumor-segmentation-0002/FP32/brain-tumor-segmentation-0002.xml
         weights: public/brain-tumor-segmentation-0002/FP32/brain-tumor-segmentation-0002.bin
         adapter:
-            type: brain_tumor_segmentation
+          type: brain_tumor_segmentation
 
       - framework: dlsdk
         tags:
           - FP16
         model:   public/brain-tumor-segmentation-0002/FP16/brain-tumor-segmentation-0002.xml
         weights: public/brain-tumor-segmentation-0002/FP16/brain-tumor-segmentation-0002.bin
         adapter:
-            type: brain_tumor_segmentation
+          type: brain_tumor_segmentation
 
     datasets:
       - name: BraTS_2017
         preprocessing:
           - type: swap_modalities
-            modality_order: [1,2,3,0]
+            modality_order: [1, 2, 3, 0]
           - type: crop_brats
           - type: normalize_brats
             masked: ignore
           - type: resize3d
-            size: (128,128,128)
+            size: (128, 128, 128)
         postprocessing:
           - type: segmentation_prediction_resample
           - type: transform_brats_prediction
-            order: [0,1,2]
-            values: [1,2,3]
+            order: [0, 1, 2]
+            values: [1, 2, 3]
 
         metrics:
           - type: dice_index

tools/accuracy_checker/configs/colorization-v2-norebal.yml

@@ -2,65 +2,65 @@ evaluations:
   - name: colorization-v2-norebal
     module: custom_evaluators.colorization_evaluator.ColorizationEvaluator
     module_config:
-        network_info:
-          colorization_network:
-            model:   public/colorization-v2-norebal/FP32/colorization-v2-norebal.xml
-            weights: public/colorization-v2-norebal/FP32/colorization-v2-norebal.bin
-            color_coeff: public/colorization-v2-norebal/colorization-v2-norebal.npy
+      network_info:
+        colorization_network:
+          model:   public/colorization-v2-norebal/FP32/colorization-v2-norebal.xml
+          weights: public/colorization-v2-norebal/FP32/colorization-v2-norebal.bin
+          color_coeff: public/colorization-v2-norebal/colorization-v2-norebal.npy
 
-          verification_network:
-            model:   public/vgg16/FP32/vgg16.xml
-            weights: public/vgg16/FP32/vgg16.bin
-            adapter: classification
+        verification_network:
+          model:   public/vgg16/FP32/vgg16.xml
+          weights: public/vgg16/FP32/vgg16.bin
+          adapter: classification
 
-        launchers:
-          - framework: dlsdk
-            tags:
-              - FP32
+      launchers:
+        - framework: dlsdk
+          tags:
+            - FP32
 
-        datasets:
-          - name: imagenet_1000_classes
-            reader: pillow_imread
+      datasets:
+        - name: imagenet_1000_classes
+          reader: pillow_imread
 
-            preprocessing:
-            -   type: resize
-                size: 256
-                aspect_ratio_scale: greater
-            -   type: crop
-                size: 224
-            -   type: normalization
-                std:  255
+          preprocessing:
+            - type: resize
+              size: 256
+              aspect_ratio_scale: greater
+            - type: crop
+              size: 224
+            - type: normalization
+              std:  255
 
   - name: colorization-v2-norebal
     module: custom_evaluators.colorization_evaluator.ColorizationEvaluator
     module_config:
-        network_info:
-          colorization_network:
-            model:   public/colorization-v2-norebal/FP16/colorization-v2-norebal.xml
-            weights: public/colorization-v2-norebal/FP16/colorization-v2-norebal.bin
-            color_coeff: public/colorization-v2-norebal/colorization-v2-norebal.npy
+      network_info:
+        colorization_network:
+          model:   public/colorization-v2-norebal/FP16/colorization-v2-norebal.xml
+          weights: public/colorization-v2-norebal/FP16/colorization-v2-norebal.bin
+          color_coeff: public/colorization-v2-norebal/colorization-v2-norebal.npy
 
-          verification_network:
-            model:   public/vgg16/FP32/vgg16.xml
-            weights: public/vgg16/FP32/vgg16.bin
-            adapter: classification
+        verification_network:
+          model:   public/vgg16/FP32/vgg16.xml
+          weights: public/vgg16/FP32/vgg16.bin
+          adapter: classification
 
-        launchers:
-          - framework: dlsdk
-            tags:
-              - FP16
+      launchers:
+        - framework: dlsdk
+          tags:
+            - FP16
 
-        datasets:
-          - name: imagenet_1000_classes
-            reader: pillow_imread
+      datasets:
+        - name: imagenet_1000_classes
+          reader: pillow_imread
 
-            preprocessing:
-            -   type: resize
-                size: 256
-                aspect_ratio_scale: greater
-            -   type: crop
-                size: 224
-            -   type: normalization
-                std:  255
+          preprocessing:
+            - type: resize
+              size: 256
+              aspect_ratio_scale: greater
+            - type: crop
+              size: 224
+            - type: normalization
+              std:  255
 
 global_definitions: ../dataset_definitions.yml

tools/accuracy_checker/configs/colorization-v2.yml

@@ -2,48 +2,48 @@ evaluations:
   - name: colorization-v2
     module: custom_evaluators.colorization_evaluator.ColorizationEvaluator
     module_config:
-        network_info:
-          colorization_network:
-            model:   public/colorization-v2/FP32/colorization-v2.xml
-            weights: public/colorization-v2/FP32/colorization-v2.bin
-            color_coeff: public/colorization-v2/colorization-v2.npy
+      network_info:
+        colorization_network:
+          model:   public/colorization-v2/FP32/colorization-v2.xml
+          weights: public/colorization-v2/FP32/colorization-v2.bin
+          color_coeff: public/colorization-v2/colorization-v2.npy
 
-          verification_network:
-            model:   public/vgg16/FP32/vgg16.xml
-            weights: public/vgg16/FP32/vgg16.bin
-            adapter: classification
+        verification_network:
+          model:   public/vgg16/FP32/vgg16.xml
+          weights: public/vgg16/FP32/vgg16.bin
+          adapter: classification
 
-        launchers:
-          - framework: dlsdk
-            tags:
-              - FP32
+      launchers:
+        - framework: dlsdk
+          tags:
+            - FP32
 
-        datasets:
-          - name: imagenet_1000_classes
-            reader: pillow_imread
+      datasets:
+        - name: imagenet_1000_classes
+          reader: pillow_imread
 
-            preprocessing:
-            -   type: resize
-                size: 256
-                aspect_ratio_scale: greater
-            -   type: crop
-                size: 224
-            -   type: normalization
-                std:  255
+          preprocessing:
+            - type: resize
+              size: 256
+              aspect_ratio_scale: greater
+            - type: crop
+              size: 224
+            - type: normalization
+              std:  255
 
   - name: colorization-v2
     module: custom_evaluators.colorization_evaluator.ColorizationEvaluator
     module_config:
-        network_info:
-          colorization_network:
-            model:   public/colorization-v2/FP16/colorization-v2.xml
-            weights: public/colorization-v2/FP16/colorization-v2.bin
-            color_coeff: public/colorization-v2/colorization-v2.npy
+      network_info:
+        colorization_network:
+          model:   public/colorization-v2/FP16/colorization-v2.xml
+          weights: public/colorization-v2/FP16/colorization-v2.bin
+          color_coeff: public/colorization-v2/colorization-v2.npy
 
-          verification_network:
-            model:   public/vgg16/FP32/vgg16.xml
-            weights: public/vgg16/FP32/vgg16.bin
-            adapter: classification
+        verification_network:
+          model:   public/vgg16/FP32/vgg16.xml
+          weights: public/vgg16/FP32/vgg16.bin
+          adapter: classification
 
         launchers:
           - framework: dlsdk
@@ -55,12 +55,12 @@ evaluations:
             reader: pillow_imread
 
             preprocessing:
-            -   type: resize
+              - type: resize
                 size: 256
                 aspect_ratio_scale: greater
-            -   type: crop
+              - type: crop
                 size: 224
-            -   type: normalization
+              - type: normalization
                 std:  255
 
 global_definitions: ../dataset_definitions.yml

tools/accuracy_checker/configs/i3d-rgb-tf.yml

@@ -1,38 +1,38 @@
 models:
   - name: i3d-rgb-tf
     launchers:
-     - framework: dlsdk
-       tags:
-         - FP32
-       model: public/i3d-rgb-tf/FP32/i3d-rgb-tf.xml
-       weights: public/i3d-rgb-tf/FP32/i3d-rgb-tf.bin
-       adapter: classification
-       inputs:
-         - name: Placeholder
-           type: INPUT
-           layout: NCDHW
+      - framework: dlsdk
+        tags:
+          - FP32
+        model: public/i3d-rgb-tf/FP32/i3d-rgb-tf.xml
+        weights: public/i3d-rgb-tf/FP32/i3d-rgb-tf.bin
+        adapter: classification
+        inputs:
+          - name: Placeholder
+            type: INPUT
+            layout: NCDHW
 
-     - framework: dlsdk
-       tags:
-         - FP16
-       model: public/i3d-rgb-tf/FP16/i3d-rgb-tf.xml
-       weights: public/i3d-rgb-tf/FP16/i3d-rgb-tf.bin
-       adapter: classification
-       inputs:
-         - name: Placeholder
-           type: INPUT
-           layout: NCDHW
+      - framework: dlsdk
+        tags:
+          - FP16
+        model: public/i3d-rgb-tf/FP16/i3d-rgb-tf.xml
+        weights: public/i3d-rgb-tf/FP16/i3d-rgb-tf.bin
+        adapter: classification
+        inputs:
+          - name: Placeholder
+            type: INPUT
+            layout: NCDHW
 
     datasets:
       - name: kinetics-400-frames-79-400
         data_source: kinetics/frames_val
         reader: pillow_imread
         preprocessing:
-        - type: resize
-          size: 256
-          aspect_ratio_scale: fit_to_window
-        - type: crop
-          size: 224
+          - type: resize
+            size: 256
+            aspect_ratio_scale: fit_to_window
+          - type: crop
+            size: 224
         metrics:
           - type: clip_accuracy
             presenter: print_vector

tools/accuracy_checker/configs/midasnet.yml

@@ -7,7 +7,6 @@ models:
         model: public/midasnet/FP16/midasnet.xml
         weights: public/midasnet/FP16/midasnet.bin
         adapter: mono_depth
-    launchers:
       - framework: dlsdk
         tags:
           - FP32

tools/accuracy_checker/configs/resnet18-xnor-binary-onnx-0001.yml

@@ -21,15 +21,15 @@ models:
         reader: pillow_imread
 
         preprocessing:
-        - type: resize
-          size: 256
-          aspect_ratio_scale: greater
-          use_pillow: True
-          interpolation: BILINEAR
-        - type: crop
-          size: 224
-          use_pillow: True
-        - type: bgr_to_rgb
+          - type: resize
+            size: 256
+            aspect_ratio_scale: greater
+            use_pillow: True
+            interpolation: BILINEAR
+          - type: crop
+            size: 224
+            use_pillow: True
+          - type: bgr_to_rgb
 
         metrics:
           - name: accuracy@top1