tensorflow/models

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Function check_extract_features_raises_error_with_invalid_image_size has 6 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def check_extract_features_raises_error_with_invalid_image_size(
Severity: Minor
Found in research/object_detection/models/ssd_feature_extractor_test.py - About 45 mins to fix

    Function _create_feature_extractor has 6 arguments (exceeds 4 allowed). Consider refactoring.
    Open

      def _create_feature_extractor(self,

      Function _inverted_bottleneck_no_expansion has 6 arguments (exceeds 4 allowed). Consider refactoring.
      Open

      def _inverted_bottleneck_no_expansion(
      Severity: Minor
      Found in research/object_detection/models/ssd_mobiledet_feature_extractor.py - About 45 mins to fix

        Function _apply_size_dependent_ordering has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
        Open

        def _apply_size_dependent_ordering(input_feature, feature_level, block_level,
                                           expansion_size, use_explicit_padding,
                                           use_native_resize_op):
          """Applies Size-Dependent-Ordering when resizing feature maps.
        
        

        Cognitive Complexity

        Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

        A method's cognitive complexity is based on a few simple rules:

        • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
        • Code is considered more complex for each "break in the linear flow of the code"
        • Code is considered more complex when "flow breaking structures are nested"

        Further reading

        Function block_basic has 6 arguments (exceeds 4 allowed). Consider refactoring.
        Open

        def block_basic(x,
        Severity: Minor
        Found in research/object_detection/models/keras_models/resnet_v1.py - About 45 mins to fix

          Function _create_feature_extractor has 6 arguments (exceeds 4 allowed). Consider refactoring.
          Open

            def _create_feature_extractor(self,
          Severity: Minor
          Found in research/object_detection/models/ssd_feature_extractor_test.py - About 45 mins to fix

            Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
            Open

              def __init__(self,

              Avoid deeply nested control flow statements.
              Open

                        with tf.name_scope('nearest_neighbor_upsampling'):
                          top_down_shape = shape_utils.combined_static_and_dynamic_shape(
                              top_down)
                          top_down = tf.image.resize_nearest_neighbor(
                              top_down, [top_down_shape[1] * 2, top_down_shape[2] * 2])
              Severity: Major
              Found in research/object_detection/models/feature_map_generators.py - About 45 mins to fix

                Function _apply_size_dependent_ordering has 6 arguments (exceeds 4 allowed). Consider refactoring.
                Open

                def _apply_size_dependent_ordering(input_feature, feature_level, block_level,

                  Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
                  Open

                    def __init__(self,

                    Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
                    Open

                      def __init__(self,

                      Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
                      Open

                        def __init__(self,

                        Function __init__ has 6 arguments (exceeds 4 allowed). Consider refactoring.
                        Open

                          def __init__(self,

                          Avoid deeply nested control flow statements.
                          Open

                                    if use_explicit_padding:
                                      pre_layer = ops.fixed_padding(pre_layer, conv_kernel_size)
                                    feature_map += slim.avg_pool2d(
                          Severity: Major
                          Found in research/object_detection/models/feature_map_generators.py - About 45 mins to fix

                            Function __init__ has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
                            Open

                              def __init__(self,
                                           bifpn_num_iterations,
                                           bifpn_num_filters,
                                           fpn_min_level,
                                           fpn_max_level,

                            Cognitive Complexity

                            Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

                            A method's cognitive complexity is based on a few simple rules:

                            • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
                            • Code is considered more complex for each "break in the linear flow of the code"
                            • Code is considered more complex when "flow breaking structures are nested"

                            Further reading

                            Function _conv has 6 arguments (exceeds 4 allowed). Consider refactoring.
                            Open

                            def _conv(h, filters, kernel_size, strides=1,
                            Severity: Minor
                            Found in research/object_detection/models/ssd_mobiledet_feature_extractor.py - About 45 mins to fix

                              Function _inverted_res_block has 6 arguments (exceeds 4 allowed). Consider refactoring.
                              Open

                              def _inverted_res_block(inputs, expansion, stride, alpha, filters, block_id):

                                Function single_stage_hourglass has 6 arguments (exceeds 4 allowed). Consider refactoring.
                                Open

                                def single_stage_hourglass(input_channel_dims, channel_dims_per_stage,
                                Severity: Minor
                                Found in research/object_detection/models/keras_models/hourglass_network.py - About 45 mins to fix

                                  Function _create_features has 6 arguments (exceeds 4 allowed). Consider refactoring.
                                  Open

                                    def _create_features(self,
                                  Severity: Minor
                                  Found in research/object_detection/models/ssd_feature_extractor_test.py - About 45 mins to fix

                                    Function pooling_pyramid_feature_maps has a Cognitive Complexity of 8 (exceeds 5 allowed). Consider refactoring.
                                    Open

                                    def pooling_pyramid_feature_maps(base_feature_map_depth, num_layers,
                                                                     image_features, replace_pool_with_conv=False):
                                      """Generates pooling pyramid feature maps.
                                    
                                      The pooling pyramid feature maps is motivated by
                                    Severity: Minor
                                    Found in research/object_detection/models/feature_map_generators.py - About 45 mins to fix

                                    Cognitive Complexity

                                    Cognitive Complexity is a measure of how difficult a unit of code is to intuitively understand. Unlike Cyclomatic Complexity, which determines how difficult your code will be to test, Cognitive Complexity tells you how difficult your code will be to read and comprehend.

                                    A method's cognitive complexity is based on a few simple rules:

                                    • Code is not considered more complex when it uses shorthand that the language provides for collapsing multiple statements into one
                                    • Code is considered more complex for each "break in the linear flow of the code"
                                    • Code is considered more complex when "flow breaking structures are nested"

                                    Further reading

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