tensorflow/models

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official/projects/centernet/ops/nms_ops.py

Summary

Maintainability
A
3 hrs
Test Coverage

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

def nms(boxes,
Severity: Major
Found in official/projects/centernet/ops/nms_ops.py - About 1 hr to fix

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

    def segment_nms(boxes, classes, confidence, k, iou_thresh):
    Severity: Minor
    Found in official/projects/centernet/ops/nms_ops.py - About 35 mins to fix

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

        mask_x = tf.tile(
            tf.transpose(tf.expand_dims(mrange, axis=-1), perm=[1, 0]), [k, 1])
      Severity: Major
      Found in official/projects/centernet/ops/nms_ops.py and 1 other location - About 1 hr to fix
      official/projects/yolo/ops/loss_utils.py on lines 184..185

      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 38.

      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

        bind = tf.stack([tf.reshape(ind_m, [-1]), tf.reshape(ind, [-1])], axis=-1)
      Severity: Minor
      Found in official/projects/centernet/ops/nms_ops.py and 1 other location - About 50 mins to fix
      research/object_detection/meta_architectures/center_net_meta_arch.py on lines 1044..1046

      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 36.

      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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