facebookresearch / DensePose
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
  • 21% duplication:
    • 12,829 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 2,792 duplicated lines
  • 286 duplicates
system21% (2,792 lines)
Duplication per Extension
py18% (2,020 lines)
yaml88% (678 lines)
cu20% (56 lines)
cmake3% (24 lines)
h36% (14 lines)
Duplication per Component (primary)
detectron/datasets29% (741 lines)
challenge/2019_COCO_DensePose80% (729 lines)
configs88% (618 lines)
detectron/modeling17% (433 lines)
detectron/ops13% (70 lines)
PoseTrack/configs98% (60 lines)
tools12% (48 lines)
detectron/utils1% (31 lines)
ROOT43% (14 lines)
cmake60% (12 lines)
cmake/legacy2% (12 lines)
detectron/roi_data1% (12 lines)
detectron/core<1% (12 lines)
detectron0% (0 lines)
challenge0% (0 lines)

Duplication Between Components (50+ lines)

G challenge/2019_COCO_DensePose challenge/2019_COCO_DensePose detectron/datasets detectron/datasets challenge/2019_COCO_DensePose--detectron/datasets 1331 PoseTrack/configs PoseTrack/configs configs configs PoseTrack/configs--configs 520

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 286 duplicates...
Size#FoldersFilesLinesCode
247 x 2 challenge/2019_COCO_DensePose
detectron/datasets
densepose_cocoeval.py
densepose_cocoeval.py
 734:1024 (27%)
490:780 (37%)
 view
56 x 2 configs
configs
DensePose_ResNet101_FPN.yaml
DensePose_ResNet50_FPN.yaml
 4:78 (94%)
4:78 (94%)
 view
51 x 2 PoseTrack/configs
configs
DensePose_ResNet50_FPN_s1x-e2e.yaml
DensePose_ResNet50_FPN_s1x-e2e.yaml
 1:70 (83%)
1:70 (83%)
 view
51 x 2 challenge/2019_COCO_DensePose
detectron/datasets
densepose_cocoeval.py
densepose_cocoeval.py
 1130:1185 (5%)
801:857 (7%)
 view
50 x 2 challenge/2019_COCO_DensePose
detectron/datasets
densepose_cocoeval.py
densepose_cocoeval.py
 152:218 (5%)
137:202 (7%)
 view
47 x 2 challenge/2019_COCO_DensePose
detectron/datasets
densepose_cocoeval.py
densepose_cocoeval.py
 450:505 (5%)
313:368 (7%)
 view
44 x 2 configs
configs
DensePose_ResNet101_FPN_32x8d_s1x-e2e...
DensePose_ResNet101_FPN_32x8d_s1x.yaml
 6:70 (66%)
5:69 (68%)
 view
44 x 2 configs
configs
DensePose_ResNet50_FPN_s1x.yaml
DensePose_ResNet50_FPN_single_GPU.yaml
 30:78 (74%)
30:78 (74%)
 view
39 x 2 PoseTrack/configs
configs
DensePose_ResNet50_FPN_s1x-e2e.yaml
DensePose_ResNet50_FPN_s1x.yaml
 6:63 (63%)
5:62 (66%)
 view
39 x 2 PoseTrack/configs
configs
DensePose_ResNet50_FPN_s1x-e2e.yaml
DensePose_ResNet101_FPN_s1x-e2e.yaml
 4:61 (63%)
4:61 (63%)
 view
39 x 2 configs
configs
DensePose_ResNet101_FPN_s1x-e2e.yaml
DensePose_ResNet101_FPN_s1x.yaml
 6:63 (63%)
5:62 (66%)
 view
39 x 2 configs
configs
DensePose_ResNet50_FPN_s1x-e2e.yaml
DensePose_ResNet50_FPN_s1x.yaml
 6:63 (63%)
5:62 (66%)
 view
39 x 2 configs
configs
DensePose_ResNet101_FPN_s1x-e2e.yaml
DensePose_ResNet50_FPN_s1x-e2e.yaml
 4:61 (63%)
4:61 (63%)
 view
38 x 2 configs
configs
DensePose_ResNet101_FPN_s1x.yaml
DensePose_ResNet50_FPN_s1x.yaml
 4:60 (64%)
4:60 (64%)
 view
37 x 2 configs
configs
DensePose_ResNet101_FPN_s1x-e2e.yaml
DensePose_ResNet50_FPN_s1x.yaml
 6:61 (60%)
5:60 (62%)
 view
37 x 2 PoseTrack/configs
configs
DensePose_ResNet50_FPN_s1x-e2e.yaml
DensePose_ResNet101_FPN_s1x.yaml
 6:61 (60%)
5:60 (62%)
 view
37 x 2 configs
configs
DensePose_ResNet101_FPN_s1x.yaml
DensePose_ResNet50_FPN_s1x-e2e.yaml
 5:60 (62%)
6:61 (60%)
 view
34 x 2 challenge/2019_COCO_DensePose
detectron/datasets
densepose_cocoeval.py
densepose_cocoeval.py
 1074:1111 (3%)
783:820 (5%)
 view
32 x 2 challenge/2019_COCO_DensePose
detectron/datasets
densepose_cocoeval.py
densepose_cocoeval.py
 324:359 (3%)
276:311 (4%)
 view
28 x 2 PoseTrack/configs
configs
DensePose_ResNet50_FPN_s1x-e2e.yaml
DensePose_ResNet50_FPN.yaml
 31:63 (45%)
30:62 (47%)
 view
Duplicated Units
The list of top 11 duplicated units.
See data for all 11 unit duplicates...
Size#FoldersFilesLinesCode
98 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
96 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
41 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
36 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
25 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
30 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
11 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
9 x 2 detectron/modeling
detectron/modeling
ResNet.py
ResNet.py
 0:0 
0:0 
 view
9 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
9 x 2 detectron/datasets
challenge/2019_COCO_DensePose
densepose_cocoeval.py
densepose_cocoeval.py
 0:0 
0:0 
 view
6 x 2 detectron/datasets
detectron/datasets
json_dataset_evaluator.py
cityscapes_json_dataset_evaluator.py
 0:0 
0:0 
 view