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research/object_detection/utils/spatial_transform_ops.py

Summary

Maintainability
C
1 day
Test Coverage

File spatial_transform_ops.py has 467 lines of code (exceeds 250 allowed). Consider refactoring.
Open

# Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
Severity: Minor
Found in research/object_detection/utils/spatial_transform_ops.py - About 7 hrs to fix

    Function multilevel_roi_align has 9 arguments (exceeds 4 allowed). Consider refactoring.
    Open

    def multilevel_roi_align(features, boxes, box_levels, output_size,
    Severity: Major
    Found in research/object_detection/utils/spatial_transform_ops.py - About 1 hr to fix

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

      def multilevel_matmul_crop_and_resize(images, boxes, box_levels, crop_size,
      Severity: Minor
      Found in research/object_detection/utils/spatial_transform_ops.py - About 45 mins to fix

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

        def ravel_indices(feature_grid_y, feature_grid_x, num_levels, height, width,
        Severity: Minor
        Found in research/object_detection/utils/spatial_transform_ops.py - About 45 mins to fix

          Function multilevel_native_crop_and_resize has 5 arguments (exceeds 4 allowed). Consider refactoring.
          Open

          def multilevel_native_crop_and_resize(images, boxes, box_levels,
          Severity: Minor
          Found in research/object_detection/utils/spatial_transform_ops.py - About 35 mins to fix

            Function matmul_crop_and_resize has 5 arguments (exceeds 4 allowed). Consider refactoring.
            Open

            def matmul_crop_and_resize(image, boxes, crop_size, extrapolation_value=0.0,
            Severity: Minor
            Found in research/object_detection/utils/spatial_transform_ops.py - About 35 mins to fix

              Similar blocks of code found in 2 locations. Consider refactoring.
              Open

                  features_per_box = tf.reshape(
        features_per_box,
        [batch_size * num_boxes, size_y * 2, size_x * 2, num_filters])
              Severity: Minor
              Found in research/object_detection/utils/spatial_transform_ops.py and 1 other location - About 45 mins to fix
              official/legacy/detection/ops/spatial_transform_ops.py on lines 87..89

              Duplicated Code

              Duplicated code can lead to software that is hard to understand and difficult to change. The Don't Repeat Yourself (DRY) principle states:

              Every piece of knowledge must have a single, unambiguous, authoritative representation within a system.

              When you violate DRY, bugs and maintenance problems are sure to follow. Duplicated code has a tendency to both continue to replicate and also to diverge (leaving bugs as two similar implementations differ in subtle ways).

              Tuning

              This issue has a mass of 35.

              We set useful threshold defaults for the languages we support but you may want to adjust these settings based on your project guidelines.

              The threshold configuration represents the minimum mass a code block must have to be analyzed for duplication. The lower the threshold, the more fine-grained the comparison.

              If the engine is too easily reporting duplication, try raising the threshold. If you suspect that the engine isn't catching enough duplication, try lowering the threshold. The best setting tends to differ from language to language.

              See codeclimate-duplication's documentation for more information about tuning the mass threshold in your .codeclimate.yml.

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