aws-samples / amazon-sagemaker-multiple-object-tracking
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
  • 79% duplication:
    • 4,863 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 3,854 duplicated lines
  • 58 duplicates
system79% (3,854 lines)
Duplication per Extension
py79% (3,854 lines)
Duplication per Component (primary)
container-serving/resources/FairMOT99% (1,402 lines)
container-batch-inference/resources/FairMOT94% (1,402 lines)
container-dp/resources/FairMOT67% (1,032 lines)
container-dp/resources7% (18 lines)
ROOT0% (0 lines)
container-serving/resources0% (0 lines)
container-batch-inference0% (0 lines)

Duplication Between Components (50+ lines)

G container-batch-inference/resources/FairMOT container-batch-inference/resources/FairMOT container-serving/resources/FairMOT container-serving/resources/FairMOT container-batch-inference/resources/FairMOT--container-serving/resources/FairMOT 2804 container-dp/resources/FairMOT container-dp/resources/FairMOT container-batch-inference/resources/FairMOT--container-dp/resources/FairMOT 1790 container-dp/resources/FairMOT--container-serving/resources/FairMOT 1790

Download: SVG DOT (open online Graphviz editor)

Open 3D force graph...

Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 58 duplicates...
Size#FoldersFilesLinesCode
384 x 2 container-batch-inference/resources/FairMOT
container-dp/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
 18:492 (100%)
18:492 (100%)
 view
384 x 2 container-dp/resources/FairMOT
container-serving/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
 18:492 (100%)
18:492 (100%)
 view
384 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
 18:492 (100%)
18:492 (100%)
 view
230 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
multitracker.py
multitracker.py
 233:527 (61%)
235:529 (60%)
 view
224 x 2 container-dp/resources/FairMOT
container-serving/resources/FairMOT
track.py
track.py
 26:293 (100%)
26:293 (100%)
 view
224 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
track.py
track.py
 26:293 (100%)
26:293 (100%)
 view
224 x 2 container-batch-inference/resources/FairMOT
container-dp/resources/FairMOT
track.py
track.py
 26:293 (100%)
26:293 (100%)
 view
209 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
opts.py
opts.py
 9:256 (100%)
9:256 (100%)
 view
147 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
multitracker.py
multitracker.py
 31:231 (38%)
31:231 (38%)
 view
139 x 2 container-batch-inference/resources/FairMOT
container-dp/resources/FairMOT
opts.py
opts.py
 94:256 (66%)
96:258 (65%)
 view
139 x 2 container-dp/resources/FairMOT
container-serving/resources/FairMOT
opts.py
opts.py
 96:258 (65%)
94:256 (66%)
 view
135 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
config.py
config.py
 9:237 (100%)
9:237 (100%)
 view
73 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
model.py
model.py
 18:99 (100%)
18:99 (100%)
 view
73 x 2 container-batch-inference/resources/FairMOT
container-dp/resources/FairMOT
model.py
model.py
 18:99 (100%)
18:99 (100%)
 view
73 x 2 container-dp/resources/FairMOT
container-serving/resources/FairMOT
model.py
model.py
 18:99 (100%)
18:99 (100%)
 view
70 x 2 container-dp/resources/FairMOT
container-serving/resources/FairMOT
opts.py
opts.py
 9:89 (32%)
9:91 (33%)
 view
70 x 2 container-batch-inference/resources/FairMOT
container-dp/resources/FairMOT
opts.py
opts.py
 9:91 (33%)
9:89 (32%)
 view
31 x 2 container-dp/resources/FairMOT
container-dp/resources/FairMOT
jde.py
jde.py
 423:457 (6%)
555:589 (6%)
 view
20 x 2 container-dp/resources/FairMOT
container-dp/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
 75:100 (5%)
119:144 (5%)
 view
20 x 2 container-batch-inference/resources/FairMOT
container-serving/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
 75:100 (5%)
119:144 (5%)
 view
Duplicated Units
The list of top 20 duplicated units.
See data for all 57 unit duplicates...
Size#FoldersFilesLinesCode
144 x 2 container-serving/resources/FairMOT
container-batch-inference/resources/FairMOT
opts.py
opts.py
 0:0 
0:0 
 view
110 x 2 container-serving/resources/FairMOT
container-batch-inference/resources/FairMOT
multitracker.py
multitracker.py
 0:0 
0:0 
 view
127 x 2 container-serving/resources/FairMOT
container-batch-inference/resources/FairMOT
config.py
config.py
 0:0 
0:0 
 view
50 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
model.py
model.py
model.py
 0:0 
0:0 
0:0 
 view
45 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
track.py
track.py
track.py
 0:0 
0:0 
0:0 
 view
37 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
pose_dla_dcn.py
 0:0 
0:0 
0:0 
 view
37 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
pose_dla_dcn.py
 0:0 
0:0 
0:0 
 view
46 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
track.py
track.py
track.py
 0:0 
0:0 
0:0 
 view
37 x 2 container-serving/resources/FairMOT
container-batch-inference/resources/FairMOT
multitracker.py
multitracker.py
 0:0 
0:0 
 view
36 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
opts.py
opts.py
opts.py
 0:0 
0:0 
0:0 
 view
33 x 2 container-serving/resources/FairMOT
container-batch-inference/resources/FairMOT
config.py
config.py
 0:0 
0:0 
 view
26 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
opts.py
opts.py
opts.py
 0:0 
0:0 
0:0 
 view
22 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
pose_dla_dcn.py
 0:0 
0:0 
0:0 
 view
26 x 2 container-serving/resources/FairMOT
container-batch-inference/resources/FairMOT
config.py
config.py
 0:0 
0:0 
 view
18 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
track.py
track.py
track.py
 0:0 
0:0 
0:0 
 view
18 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
track.py
track.py
track.py
 0:0 
0:0 
0:0 
 view
15 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
pose_dla_dcn.py
 0:0 
0:0 
0:0 
 view
17 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
pose_dla_dcn.py
 0:0 
0:0 
0:0 
 view
14 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
track.py
track.py
track.py
 0:0 
0:0 
0:0 
 view
14 x 3 container-serving/resources/FairMOT
container-dp/resources/FairMOT
container-batch-inference/resources/FairMOT
pose_dla_dcn.py
pose_dla_dcn.py
pose_dla_dcn.py
 0:0 
0:0 
0:0 
 view