microsoft / CameraTraps
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
  • 24% duplication:
    • 48,395 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
    • 11,664 duplicated lines
  • 896 duplicates
system24% (11,664 lines)
Duplication per Extension
py24% (11,064 lines)
html48% (408 lines)
yml48% (122 lines)
cs3% (70 lines)
Duplication per Component (primary)
research48% (4,121 lines)
archive31% (3,849 lines)
data_management18% (2,143 lines)
api7% (544 lines)
classification10% (482 lines)
detection15% (208 lines)
taxonomy_mapping12% (132 lines)
ROOT43% (89 lines)
visualization6% (71 lines)
benchmark15% (18 lines)
api_flask_redis2% (7 lines)
sandbox0% (0 lines)

Duplication Between Components (50+ lines)

G archive archive research research archive--research 1352 data_management data_management archive--data_management 229 detection detection archive--detection 84 data_management--research 106 api api api--detection 176 visualization visualization api--visualization 53

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Show more details on duplication between components...
Longest Duplicates
The list of 20 longest duplicates.
See data for all 896 duplicates...
Size#FoldersFilesLinesCode
245 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
hierarchical_clustering_AL.py
hierarchical_clustering_AL.py
 33:362 (100%)
33:362 (100%)
 view
229 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 1:336 (53%)
1:336 (53%)
 view
190 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 338:559 (44%)
340:561 (44%)
 view
120 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
simulate_batch.py
simulate_batch.py
 30:261 (100%)
30:261 (100%)
 view
92 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
constants.py
constants.py
 19:131 (100%)
19:131 (100%)
 view
89 x 2 research/active_learning..._learning_methods/utils
research/active_learning/sampling_methods/utils
tree.py
tree.py
 32:157 (100%)
32:157 (100%)
 view
88 x 2 api/batch_processing/api_core/batch_service
detection
score.py
run_tf_detector.py
 117:276 (37%)
117:283 (33%)
 view
57 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
mixture_of_samplers.py
mixture_of_samplers.py
 28:110 (100%)
28:110 (100%)
 view
53 x 2 research/active_learning/archive
research/active_learning/archive
good_run.py
run_bk.py
 154:214 (27%)
133:193 (33%)
 view
50 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
bandit_discrete.py
bandit_discrete.py
 34:124 (100%)
34:124 (100%)
 view
50 x 2 research/active_learning/DL
research/active_learning/deep_learning
utils.py
utils.py
 307:391 (16%)
191:275 (23%)
 view
46 x 2 data_management/lila
data_management/lila
create_lila_test_set.py
download_lila_subset.py
 37:120 (38%)
56:139 (27%)
 view
46 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
kcenter_greedy.py
kcenter_greedy.py
 38:122 (100%)
38:122 (100%)
 view
43 x 2 data_management/importers
data_management/importers
save_the_elephants_survey_A.py
save_the_elephants_survey_B.py
 196:258 (24%)
208:270 (22%)
 view
43 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
informative_diverse.py
informative_diverse.py
 33:101 (100%)
33:101 (100%)
 view
40 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
graph_density.py
graph_density.py
 34:92 (100%)
34:92 (100%)
 view
39 x 2 classification
classification
prepare_classification_script.py
prepare_classification_script_mc.py
 91:146 (33%)
89:144 (28%)
 view
39 x 2 research/active_learning/archive
research/active_learning
filebased_main.py
main.py
 26:67 (29%)
27:68 (26%)
 view
38 x 2 archive/classification_marcel/tf-slim/nets/nasnet
archive/classification_marcel/tf-slim/nets/nasnet
nasnet.py
nasnet.py
 349:393 (10%)
404:448 (10%)
 view
38 x 2 research/active_learning/DL
research/active_learning/deep_learning
utils.py
utils.py
 15:60 (12%)
14:57 (18%)
 view
Duplicated Units
The list of top 20 duplicated units.
See data for all 85 unit duplicates...
Size#FoldersFilesLinesCode
64 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 0:0 
0:0 
 view
92 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
simulate_batch.py
simulate_batch.py
 0:0 
0:0 
 view
44 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 0:0 
0:0 
 view
61 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
hierarchical_clustering_AL.py
hierarchical_clustering_AL.py
 0:0 
0:0 
 view
36 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 0:0 
0:0 
 view
44 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
hierarchical_clustering_AL.py
hierarchical_clustering_AL.py
 0:0 
0:0 
 view
34 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 0:0 
0:0 
 view
44 x 9 archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
archive/classification_marcel/tf-slim/datasets
cct.py
idfg.py
nacti.py
obscured.py
obscured_large.py
rspb.py
serengeti.py
wellington.py
wiitigers.py
 0:0 
0:0 
0:0 
0:0 
0:0 
0:0 
0:0 
0:0 
0:0 
 view
31 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
hierarchical_clustering_AL.py
hierarchical_clustering_AL.py
 0:0 
0:0 
 view
31 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
represent_cluster_centers.py
represent_cluster_centers.py
 0:0 
0:0 
 view
40 x 2 api/batch_processing/api_core/batch_service
detection
score.py
run_tf_detector.py
 0:0 
0:0 
 view
25 x 2 archive
research/active_learning/labeling_tool
runapp.py
runapp.py
 0:0 
0:0 
 view
33 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
informative_diverse.py
informative_diverse.py
 0:0 
0:0 
 view
37 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
bandit_discrete.py
bandit_discrete.py
 0:0 
0:0 
 view
29 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
mixture_of_samplers.py
mixture_of_samplers.py
 0:0 
0:0 
 view
40 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
simulate_batch.py
simulate_batch.py
 0:0 
0:0 
 view
37 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
kcenter_greedy.py
kcenter_greedy.py
 0:0 
0:0 
 view
33 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
simulate_batch.py
simulate_batch.py
 0:0 
0:0 
 view
21 x 2 data_management/lila
data_management/lila
create_lila_test_set.py
download_lila_subset.py
 0:0 
0:0 
 view
24 x 2 research/active_learning/active_learning_methods
research/active_learning/sampling_methods
mixture_of_samplers.py
mixture_of_samplers.py
 0:0 
0:0 
 view