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

26% duplication:

4,954 cleaned lines of cleaned code (without empty lines, comments, and frequently duplicated constructs such as imports)
1,291 duplicated lines

65 duplicates

Duplication per Extension

Duplication per Component (primary)

Longest Duplicates

The list of 50 longest duplicates.

See data for all 65 duplicates...

Size	#	Folders	Files	Lines	Code
76	x 2	scripts scripts	train_detection.py train_instance_seg.py	62:157 (21%) 64:159 (21%)	view
73	x 2	scripts scripts	train_detection.py train_instance_seg.py	182:283 (20%) 188:289 (20%)	view
60	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	110:182 (16%) 121:193 (13%)	view
56	x 2	scripts scripts	train_detection.py train_instance_seg.py	435:504 (16%) 444:513 (15%)	view
39	x 2	scripts scripts	train_detection.py train_panoptic.py	108:157 (11%) 121:170 (8%)	view
37	x 2	scripts scripts	train_detection.py train_panoptic.py	62:107 (10%) 74:119 (8%)	view
37	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	64:109 (10%) 74:119 (8%)	view
36	x 2	scripts scripts	train_detection.py train_instance_seg.py	383:433 (10%) 391:441 (10%)	view
32	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	188:227 (8%) 209:248 (7%)	view
32	x 2	scripts scripts	train_detection.py train_panoptic.py	182:221 (9%) 209:248 (7%)	view
31	x 2	scripts scripts	train_detection.py train_instance_seg.py	284:331 (8%) 291:338 (8%)	view
21	x 2	scripts/data_preparation scripts/data_preparation	prepare_cityscapes.py prepare_vistas.py	204:232 (13%) 212:240 (13%)	view
19	x 2	seamseg/models seamseg/models	instance_seg.py panoptic.py	66:88 (26%) 73:95 (20%)	view
19	x 2	scripts scripts	train_detection.py train_instance_seg.py	34:58 (5%) 36:60 (5%)	view
17	x 2	scripts scripts	train_detection.py train_panoptic.py	457:478 (4%) 577:598 (3%)	view
17	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	466:487 (4%) 577:598 (3%)	view
16	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	391:415 (4%) 491:515 (3%)	view
16	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	421:442 (4%) 521:542 (3%)	view
16	x 2	scripts scripts	train_detection.py train_panoptic.py	383:407 (4%) 491:515 (3%)	view
15	x 2	seamseg/algos seamseg/algos	detection.py instance_seg.py	353:369 (7%) 119:135 (16%)	view
15	x 2	scripts scripts	train_detection.py train_panoptic.py	413:433 (4%) 521:541 (3%)	view
14	x 2	scripts scripts	train_detection.py train_instance_seg.py	343:360 (4%) 350:367 (3%)	view
14	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	350:367 (3%) 433:450 (3%)	view
14	x 2	scripts scripts	train_detection.py train_panoptic.py	343:360 (4%) 433:450 (3%)	view
13	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	278:290 (3%) 322:334 (2%)	view
13	x 2	seamseg/algos seamseg/algos	fpn.py fpn.py	165:179 (5%) 299:313 (5%)	view
12	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	444:456 (3%) 546:558 (2%)	view
12	x 2	seamseg/models seamseg/models	instance_seg.py panoptic.py	36:49 (16%) 41:54 (13%)	view
12	x 2	scripts scripts	train_detection.py train_panoptic.py	272:283 (3%) 322:333 (2%)	view
12	x 2	scripts scripts	train_detection.py train_panoptic.py	435:447 (3%) 546:558 (2%)	view
11	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	230:243 (3%) 270:283 (2%)	view
11	x 2	scripts scripts	train_detection.py train_panoptic.py	224:237 (3%) 270:283 (2%)	view
11	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	500:513 (3%) 614:627 (2%)	view
11	x 2	scripts scripts	train_detection.py train_panoptic.py	491:504 (3%) 614:627 (2%)	view
10	x 2	seamseg/models seamseg/models	detection.py instance_seg.py	63:76 (14%) 66:79 (13%)	view
10	x 2	scripts/data_preparation scripts/data_preparation	prepare_cityscapes.py prepare_vistas.py	79:94 (6%) 72:87 (6%)	view
10	x 2	scripts scripts	train_detection.py train_panoptic.py	284:298 (2%) 337:351 (2%)	view
10	x 2	seamseg/modules seamseg/modules	misc.py misc.py	64:73 (14%) 96:105 (14%)	view
10	x 2	seamseg/models seamseg/models	detection.py panoptic.py	63:76 (14%) 73:86 (10%)	view
10	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	291:305 (2%) 337:351 (2%)	view
9	x 2	seamseg/modules/heads seamseg/modules/heads	fpn.py fpn.py	51:60 (5%) 140:149 (5%)	view
9	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	44:56 (2%) 46:58 (2%)	view
9	x 2	scripts scripts	train_detection.py train_panoptic.py	305:316 (2%) 361:372 (2%)	view
9	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	312:323 (2%) 361:372 (2%)	view
9	x 2	scripts scripts	train_detection.py train_panoptic.py	42:54 (2%) 46:58 (2%)	view
9	x 2	scripts scripts	train_detection.py train_instance_seg.py	366:374 (2%) 373:381 (2%)	view
8	x 2	scripts scripts	train_detection.py train_panoptic.py	479:487 (2%) 600:608 (1%)	view
8	x 2	scripts scripts	train_instance_seg.py train_panoptic.py	488:496 (2%) 600:608 (1%)	view
7	x 2	scripts scripts	train_detection.py train_panoptic.py	34:40 (2%) 38:44 (1%)	view
7	x 2	scripts scripts	train_detection.py train_panoptic.py	163:169 (2%) 178:184 (1%)	view