microsoft / arcticseals
Duplication

Places in code with 6 or more lines that are exactly the same.

Intro
  • For duplication, we look at places in code where there are 6 or more lines of code that are exactly the same.
  • Before duplication is calculated, the code is cleaned to remove empty lines, comments, and frequently duplicated constructs such as imports.
  • You should aim at having as little as possible (<5%) of duplicated code as high-level of duplication can lead to maintenance difficulties, poor factoring, and logical contradictions.
Learn more...
Duplication Overall
  • 16% duplication:
    • 11,420 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 1,840 duplicated lines
  • 391 duplicates
system16% (1,840 lines)
Duplication per Extension
yaml91% (826 lines)
py8% (650 lines)
cu36% (206 lines)
js14% (94 lines)
h32% (34 lines)
html31% (18 lines)
pyx48% (12 lines)
Duplication per Component (primary)
MaskRCNNDetection20% (1,272 lines)
SealDetectionRCNN11% (238 lines)
dataset-generator55% (150 lines)
viewer31% (86 lines)
archive8% (68 lines)
parse-labels5% (26 lines)
CopyImageFiles0% (0 lines)
SealDetectionAPI0% (0 lines)
UploadBlobs0% (0 lines)
image_registration0% (0 lines)
ir-normalization0% (0 lines)
utilities0% (0 lines)

Duplication Between Components (50+ lines)

G MaskRCNNDetection MaskRCNNDetection SealDetectionRCNN SealDetectionRCNN MaskRCNNDetection--SealDetectionRCNN 207

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Longest Duplicates
The list of 20 longest duplicates.
See data for all 391 duplicates...
Size#FoldersFilesLinesCode
35 x 2 src/dataset-generator
src/dataset-generator
create_dataset_from_raw_csv.py
create_dataset_from_updated_csv.py
 127:169 (26%)
125:167 (25%)
 view
35 x 2 src/MaskRCNNDetection/configs
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_101_FPN_1x.yaml
e2e_mask_rcnn_R_50_FPN_1x.yaml
 6:40 (87%)
6:40 (87%)
 view
32 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_X_101_32x8d_FPN_1x_caff...
e2e_mask_rcnn_X_101_32x8d_FPN_1x.yaml
 4:35 (84%)
4:35 (71%)
 view
29 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs/caffe2
e2e_mask_rcnn_R_101_FPN_1x_caffe2.yaml
e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml
 6:34 (85%)
6:34 (85%)
 view
28 x 2 src/SealDetectionRCNN/data
src/SealDetectionRCNN/data
seals_dataset.py
vott_dataset.py
 92:131 (29%)
87:126 (35%)
 view
28 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_101_FPN_1x_caffe2.yaml
e2e_mask_rcnn_R_101_FPN_1x.yaml
 4:31 (82%)
4:31 (70%)
 view
28 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml
e2e_mask_rcnn_R_50_FPN_1x.yaml
 4:31 (82%)
4:31 (70%)
 view
26 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml
e2e_mask_rcnn_R_101_FPN_1x.yaml
 6:31 (76%)
6:31 (65%)
 view
26 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_101_FPN_1x_caffe2.yaml
e2e_mask_rcnn_R_50_FPN_1x.yaml
 6:31 (76%)
6:31 (65%)
 view
26 x 2 src/MaskRCNNDetection/configs
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_101_FPN_1x.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_1x.yaml
 4:29 (65%)
4:29 (57%)
 view
26 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs/caffe2
e2e_mask_rcnn_R_101_FPN_1x_caffe2.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_1x_caff...
 4:29 (76%)
4:29 (68%)
 view
26 x 2 src/MaskRCNNDetection/configs
src/MaskRCNNDetection/configs
e2e_faster_rcnn_R_101_FPN_1x.yaml
e2e_faster_rcnn_R_50_FPN_1x.yaml
 6:31 (83%)
6:31 (83%)
 view
26 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_101_FPN_1x_caffe2.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_1x.yaml
 4:29 (76%)
4:29 (57%)
 view
26 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_X_101_32x8d_FPN_1x_caff...
e2e_mask_rcnn_R_101_FPN_1x.yaml
 4:29 (68%)
4:29 (65%)
 view
25 x 2 src/MaskRCNNDetection/configs/quick_schedules
src/MaskRCNNDetection/configs/quick_schedules
e2e_mask_rcnn_R_50_FPN_quick.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_quick.yaml
 6:30 (51%)
6:30 (47%)
 view
24 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs/caffe2
e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_1x_caff...
 6:29 (70%)
6:29 (63%)
 view
24 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_50_FPN_1x_caffe2.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_1x.yaml
 6:29 (70%)
6:29 (53%)
 view
24 x 2 src/MaskRCNNDetection/configs
src/MaskRCNNDetection/configs
e2e_mask_rcnn_R_50_FPN_1x.yaml
e2e_mask_rcnn_X_101_32x8d_FPN_1x.yaml
 6:29 (60%)
6:29 (53%)
 view
24 x 2 src/dataset-generator
src/dataset-generator
create_dataset_from_raw_csv.py
create_dataset_from_updated_csv.py
 171:201 (18%)
169:201 (17%)
 view
24 x 2 src/MaskRCNNDetection/configs/caffe2
src/MaskRCNNDetection/configs
e2e_mask_rcnn_X_101_32x8d_FPN_1x_caff...
e2e_mask_rcnn_R_50_FPN_1x.yaml
 6:29 (63%)
6:29 (60%)
 view
Duplicated Units
The list of top 4 duplicated units.
See data for all 4 unit duplicates...
Size#FoldersFilesLinesCode
29 x 2 src/archive/ir-hotspot-rfc
src/archive/ir-hotspot-rfc
hotspot_classifier.py
hotspot_training.py
 0:0 
0:0 
 view
6 x 2 src/dataset-generator
src/dataset-generator
create_dataset_from_raw_csv.py
create_dataset_from_updated_csv.py
 0:0 
0:0 
 view
9 x 2 src/SealDetectionRCNN/model
src/SealDetectionRCNN/model
faster_rcnn_vgg16.py
region_proposal_network.py
 0:0 
0:0 
 view
7 x 2 src/MaskRCNNDetection/maskrcnn_benchmark/modeling
src/MaskRCNNDetection/ma...nn_benchmark/structures
utils.py
boxlist_ops.py
 0:0 
0:0 
 view