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AC: fix yaml files style (openvinotoolkit#681)
* AC: replace usage deprecated APi from sklearn * AC: fix yaml files style
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‎tools/accuracy_checker/.yamllint

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yaml-files:
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- '*.yaml'
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- '*.yml'
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- '.yamllint'
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rules:
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line-length: disable
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braces: enable
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brackets: enable
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colons: disable
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commas: enable
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comments:
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level: warning
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comments-indentation:
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level: warning
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document-end: disable
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document-start: disable
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empty-lines: enable
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empty-values: enable
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hyphens: enable
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indentation: enable
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key-duplicates: enable
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key-ordering: disable
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new-line-at-end-of-file: enable
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new-lines: enable
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octal-values: disable
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quoted-strings: disable
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trailing-spaces: enable
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truthy: disable

‎tools/accuracy_checker/configs/Sphereface.yml

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- type: resize
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dst_height: 112
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dst_width: 96
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/action-recognition-0001-decoder.yml

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- FP32
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datasets:
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- name: kinetics-400
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- name: kinetics-400
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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- name: action-recognition-0001-encoder
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module: custom_evaluators.sequential_action_recognition_evaluator.SequentialActionRecognitionEvaluator
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- FP16
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datasets:
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- name: kinetics-400
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- name: kinetics-400
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/action-recognition-0001-encoder.yml

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- FP32
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datasets:
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- name: kinetics-400
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- name: kinetics-400
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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- name: action-recognition-0001-encoder
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module: custom_evaluators.sequential_action_recognition_evaluator.SequentialActionRecognitionEvaluator
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- FP16
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datasets:
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- name: kinetics-400
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- name: kinetics-400
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/age-gender-recognition-retail-0013.yml

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prediction_source: age_classification
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- type: mae
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/alexnet.yml

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- name: acciracy@top5
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type: accuracy
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top_k: 5
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/brain-tumor-segmentation-0001.yml

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- FP32
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model: public/brain-tumor-segmentation-0001/FP32/brain-tumor-segmentation-0001.xml
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weights: public/brain-tumor-segmentation-0001/FP32/brain-tumor-segmentation-0001.bin
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adapter:
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type: brain_tumor_segmentation
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adapter: brain_tumor_segmentation
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- framework: dlsdk
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tags:
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- FP16
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device: GPU
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model: public/brain-tumor-segmentation-0001/FP16/brain-tumor-segmentation-0001.xml
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weights: public/brain-tumor-segmentation-0001/FP16/brain-tumor-segmentation-0001.bin
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adapter:
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type: brain_tumor_segmentation
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adapter: brain_tumor_segmentation
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datasets:
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- name: BraTS
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- type: dice_index
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median: True
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presenter: print_vector
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/caffenet.yml

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size: 256
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- type: crop
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size: 227
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/ctpn.yml

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cls_prob_out: 'Reshape_2/Transpose'
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bbox_pred_out: 'rpn_bbox_pred/Reshape_1/Transpose'
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allow_reshape_input: True
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datasets:
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- name: ICDAR2015
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preprocessing:
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- type: resize
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dst_width: 1200
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dst_height: 600
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aspect_ratio_scale: ctpn_keep_aspect_ratio
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- type: resize
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dst_width: 600
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dst_height: 600
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- type: resize
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dst_width: 1200
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dst_height: 600
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aspect_ratio_scale: ctpn_keep_aspect_ratio
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- type: resize
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dst_width: 600
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dst_height: 600
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postprocessing:
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- type: cast_to_int
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round_policy: lower
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metrics:
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- type: focused_text_precision
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name: precision
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ignore_difficult: True
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area_recall_constrain: 0.8
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area_precision_constrain: 0.4
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- type: focused_text_recall
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name: recall
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ignore_difficult: True
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area_recall_constrain: 0.8
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area_precision_constrain: 0.4
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- type: focused_text_hmean
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name: hmean
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ignore_difficult: True
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area_recall_constrain: 0.8
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area_precision_constrain: 0.4
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- type: focused_text_precision
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name: precision
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ignore_difficult: True
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area_recall_constrain: 0.8
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area_precision_constrain: 0.4
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- type: focused_text_recall
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name: recall
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ignore_difficult: True
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area_recall_constrain: 0.8
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area_precision_constrain: 0.4
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- type: focused_text_hmean
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name: hmean
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ignore_difficult: True
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area_recall_constrain: 0.8
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area_precision_constrain: 0.4
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/deeplabv3.yml

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- type: mean_iou
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use_argmax: false
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presenter: print_scalar
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-121-caffe2.yml

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datasets:
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- name: imagenet_1000_classes
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preprocessing:
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- type: resize
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size: 256
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aspect_ratio_scale: greater
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- type: crop
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size: 224
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- type: normalization
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mean: 103.94,116.78,123.68
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std: 58.8235294
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- type: resize
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size: 256
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aspect_ratio_scale: greater
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- type: crop
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size: 224
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- type: normalization
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mean: 103.94,116.78,123.68
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std: 58.8235294
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- name: densenet-121-caffe2
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launchers:
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datasets:
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- name: imagenet_1000_classes
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preprocessing:
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- type: resize
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size: 256
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aspect_ratio_scale: greater
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- type: crop
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size: 224
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- type: resize
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size: 256
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aspect_ratio_scale: greater
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- type: crop
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size: 224
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-121-tf.yml

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size: 256
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- type: crop
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size: 224
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-121.yml

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size: 256
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- type: crop
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-161-tf.yml

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size: 256
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- type: crop
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size: 224
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-161.yml

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model: public/densenet-161/densenet-161.prototxt
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weights: public/densenet-161/densenet-161.caffemodel
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adapter: classification
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datasets:
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- name: imagenet_1000_classes
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preprocessing:
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- type: crop
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-169-tf.yml

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size: 256
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- type: crop
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-169.yml

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size: 256
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- type: crop
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/densenet-201.yml

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size: 256
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- type: crop
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global_definitions: ../dataset_definitions.yml

‎tools/accuracy_checker/configs/driver-action-recognition-adas-0002-decoder.yml

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datasets:
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- name: driver_action_recognition_dataset
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- name: driver_action_recognition_dataset
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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preprocessing:
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- type: resize
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size: 224
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aspect_ratio_scale: fit_to_window
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- type: crop
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size: 224
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metrics:
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- type: clip_accuracy
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metrics:
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- type: clip_accuracy
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- name: driver-action-recognition-adas-0002-encoder
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module: custom_evaluators.sequential_action_recognition_evaluator.SequentialActionRecognitionEvaluator
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datasets:
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- name: driver_action_recognition_dataset
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- name: driver_action_recognition_dataset
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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metrics:
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- type: clip_accuracy
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presenter: print_vector
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global_definitions: ../dataset_definitions.yml

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