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research/object_detection/predictors/heads/class_head.py

Summary

Maintainability
D
2 days
Test Coverage

File class_head.py has 278 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/predictors/heads/class_head.py - About 2 hrs to fix

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

      def __init__(self,
    Severity: Major
    Found in research/object_detection/predictors/heads/class_head.py - About 1 hr to fix

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

        def __init__(self,
      Severity: Major
      Found in research/object_detection/predictors/heads/class_head.py - About 1 hr to fix

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

          def __init__(self,
        Severity: Minor
        Found in research/object_detection/predictors/heads/class_head.py - About 45 mins to fix

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

            def __init__(self,
               is_training,
               num_class_slots,
               use_dropout,
               dropout_keep_prob,
          Severity: Major
          Found in research/object_detection/predictors/heads/class_head.py and 1 other location - About 6 hrs to fix
          research/object_detection/predictors/heads/class_head.py on lines 225..271

          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 101.

          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

            def __init__(self,
               num_class_slots,
               kernel_size=3,
               class_prediction_bias_init=0.0,
               use_dropout=False,
          Severity: Major
          Found in research/object_detection/predictors/heads/class_head.py and 1 other location - About 6 hrs to fix
          research/object_detection/predictors/heads/class_head.py on lines 112..161

          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 101.

          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

            def __init__(self,
               is_training,
               num_class_slots,
               fc_hyperparams_fn,
               use_dropout,
          Severity: Major
          Found in research/object_detection/predictors/heads/class_head.py and 1 other location - About 2 hrs to fix
          research/object_detection/predictors/heads/keypoint_head.py on lines 43..75

          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 58.

          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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