tensorflow/models

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official/legacy/detection/modeling/architecture/nn_ops.py

Summary

Maintainability
B
4 hrs
Test Coverage

Function __init__ has 8 arguments (exceeds 4 allowed). Consider refactoring.
Open

  def __init__(self,
Severity: Major
Found in official/legacy/detection/modeling/architecture/nn_ops.py - About 1 hr to fix

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

    def norm_activation_builder(momentum=0.997,
    Severity: Minor
    Found in official/legacy/detection/modeling/architecture/nn_ops.py - About 35 mins to fix

      Similar blocks of code found in 9 locations. Consider refactoring.
      Open

          if activation == 'relu':
            self._activation_op = tf.nn.relu
          elif activation == 'swish':
            self._activation_op = tf.nn.swish
          else:
      Severity: Major
      Found in official/legacy/detection/modeling/architecture/nn_ops.py and 8 other locations - About 2 hrs to fix
      official/legacy/detection/modeling/architecture/fpn.py on lines 68..73
      official/legacy/detection/modeling/architecture/heads.py on lines 67..72
      official/legacy/detection/modeling/architecture/heads.py on lines 176..181
      official/legacy/detection/modeling/architecture/heads.py on lines 318..323
      official/legacy/detection/modeling/architecture/heads.py on lines 457..462
      official/legacy/detection/modeling/architecture/heads.py on lines 596..601
      official/legacy/detection/modeling/architecture/resnet.py on lines 51..56
      official/legacy/detection/modeling/architecture/spinenet.py on lines 150..155

      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 57.

      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

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