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research/object_detection/meta_architectures/rfcn_meta_arch.py

Summary

Maintainability
C
1 day
Test Coverage

Function __init__ has 37 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(self,
Severity: Major
Found in research/object_detection/meta_architectures/rfcn_meta_arch.py - About 4 hrs to fix

    File rfcn_meta_arch.py has 352 lines of code (exceeds 250 allowed). Consider refactoring.
    Open

    # Copyright 2017 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/meta_architectures/rfcn_meta_arch.py - About 4 hrs to fix

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

        def _predict_second_stage(self, rpn_box_encodings,
      Severity: Minor
      Found in research/object_detection/meta_architectures/rfcn_meta_arch.py - About 45 mins to fix

        Similar blocks of code found in 5 locations. Consider refactoring.
        Open

            if self._rfcn_box_predictor.is_keras_model:
              update_ops.extend(
                  self._rfcn_box_predictor.get_updates_for(None))
              update_ops.extend(
                  self._rfcn_box_predictor.get_updates_for(
        research/object_detection/meta_architectures/faster_rcnn_meta_arch.py on lines 2944..2949
        research/object_detection/meta_architectures/faster_rcnn_meta_arch.py on lines 2959..2965
        research/object_detection/meta_architectures/ssd_meta_arch.py on lines 1360..1363
        research/object_detection/meta_architectures/ssd_meta_arch.py on lines 1364..1367

        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 46.

        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.

        Refactorings

        Further Reading

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

            class_predictions_with_background = tf.squeeze(
                tf.concat(
                    box_predictions[box_predictor.CLASS_PREDICTIONS_WITH_BACKGROUND],
        Severity: Minor
        Found in research/object_detection/meta_architectures/rfcn_meta_arch.py and 1 other location - About 35 mins to fix
        research/object_detection/meta_architectures/rfcn_meta_arch.py on lines 335..336

        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 33.

        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.

        Refactorings

        Further Reading

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

            refined_box_encodings = tf.squeeze(
                tf.concat(box_predictions[box_predictor.BOX_ENCODINGS], axis=1), axis=1)
        Severity: Minor
        Found in research/object_detection/meta_architectures/rfcn_meta_arch.py and 1 other location - About 35 mins to fix
        research/object_detection/meta_architectures/rfcn_meta_arch.py on lines 337..339

        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 33.

        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.

        Refactorings

        Further Reading

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