microsoft / singleshotpose
File Size

The distribution of size of files (measured in lines of code).

Intro
  • File size measurements show the distribution of size of files.
  • Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
  • It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
File Size Overall
  • There are 41 files with 9,355 lines of code.
    • 0 very long files (0 lines of code)
    • 1 long files (932 lines of code)
    • 22 medium size files (6,412 lines of codeclsfd_ftr_w_mp_ins)
    • 10 small files (1,599 lines of code)
    • 8 very small files (412 lines of code)
0% | 9% | 68% | 17% | 4%
Legend:
1001+
501-1000
201-500
101-200
1-100


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File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 12% | 61% | 20% | 5%
cfg0% | 0% | 100% | 0% | 0%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
py20% | 36% | 37% | 21% | 4%
multi_obj_pose_estimation0% | 0% | 78% | 16% | 4%
py2/multi_obj_pose_estimation0% | 0% | 86% | 8% | 5%
ROOT0% | 0% | 57% | 35% | 7%
cfg0% | 0% | 100% | 0% | 0%
multi_obj_pose_estimation/cfg0% | 0% | 100% | 0% | 0%
py2/multi_obj_pose_estimation/cfg0% | 0% | 100% | 0% | 0%
py2/cfg0% | 0% | 100% | 0% | 0%
Longest Files (Top 41)
File# lines# units
utils.py
in py2
 932 40
utils_multi.py
in multi_obj_pose_estimation
 422 31
utils.py
in root
 367 32
darknet.py
in root
 364 15
darknet.py
in py2
 361 15
darknet_multi.py
in multi_obj_pose_estimation
 358 15
darknet_multi.py
in py2/multi_obj_pose_estimation
 358 15
image_multi.py
in py2/multi_obj_pose_estimation
 350 16
train_multi.py
in multi_obj_pose_estimation
 317 4
train.py
in py2
 315 4
train.py
in root
 314 4
train_multi.py
in py2/multi_obj_pose_estimation
 311 5
image_multi.py
in multi_obj_pose_estimation
 288 15
region_loss_multi.py
in py2/multi_obj_pose_estimation
 283 3
region_loss.py
in py2
 279 3
cfg
yolo-pose.cfg
in cfg
 219 -
cfg
yolo-pose-multi.cfg
in multi_obj_pose_estimation/cfg
 218 -
cfg
yolo-pose-pre.cfg
in cfg
 215 -
cfg
yolo-pose-multi-pre.cfg
in multi_obj_pose_estimation/cfg
 215 -
cfg
yolo-pose-multi-pre.cfg
in py2/multi_obj_pose_estimation/cfg
 215 -
cfg
yolo-pose-multi.cfg
in py2/multi_obj_pose_estimation/cfg
 215 -
cfg
yolo-pose-pre.cfg
in py2/cfg
 214 -
cfg
yolo-pose.cfg
in py2/cfg
 214 -
valid.py
in py2
 198 2
cfg.py
in root
 197 8
cfg.py
in py2
 197 8
valid.py
in root
 187 1
region_loss_multi.py
in multi_obj_pose_estimation
 162 3
image.py
in py2
 149 8
region_loss.py
in root
 146 3
valid_multi.py
in py2/multi_obj_pose_estimation
 129 1
valid_multi.py
in multi_obj_pose_estimation
 126 1
image.py
in root
 108 8
dataset.py
in root
 88 3
dataset.py
in py2
 83 3
dataset_multi.py
in multi_obj_pose_estimation
 80 3
dataset_multi.py
in py2/multi_obj_pose_estimation
 75 3
MeshPly.py
in root
 42 1
MeshPly.py
in py2
 42 1
__init__.py
in multi_obj_pose_estimation
 1 -
__init__.py
in py2/multi_obj_pose_estimation
 1 -
Files With Most Units (Top 20)
File# lines# units
utils.py
in py2
 932 40
utils.py
in root
 367 32
utils_multi.py
in multi_obj_pose_estimation
 422 31
image_multi.py
in py2/multi_obj_pose_estimation
 350 16
darknet.py
in root
 364 15
darknet_multi.py
in multi_obj_pose_estimation
 358 15
image_multi.py
in multi_obj_pose_estimation
 288 15
darknet.py
in py2
 361 15
darknet_multi.py
in py2/multi_obj_pose_estimation
 358 15
cfg.py
in root
 197 8
image.py
in root
 108 8
cfg.py
in py2
 197 8
image.py
in py2
 149 8
train_multi.py
in py2/multi_obj_pose_estimation
 311 5
train_multi.py
in multi_obj_pose_estimation
 317 4
train.py
in py2
 315 4
train.py
in root
 314 4
dataset.py
in root
 88 3
dataset_multi.py
in multi_obj_pose_estimation
 80 3
region_loss_multi.py
in multi_obj_pose_estimation
 162 3
Files With Long Lines (Top 20)

There are 29 files with lines longer than 120 characters. In total, there are 163 long lines.

File# lines# units# long lines
utils.py
in py2
 932 40 19
valid.py
in py2
 198 2 14
valid.py
in root
 187 1 13
region_loss.py
in py2
 279 3 8
cfg.py
in root
 197 8 7
region_loss_multi.py
in py2/multi_obj_pose_estimation
 283 3 7
train.py
in py2
 315 4 7
train.py
in root
 314 4 7
image_multi.py
in multi_obj_pose_estimation
 288 15 6
region_loss_multi.py
in multi_obj_pose_estimation
 162 3 6
train_multi.py
in multi_obj_pose_estimation
 317 4 6
utils_multi.py
in multi_obj_pose_estimation
 422 31 6
image_multi.py
in py2/multi_obj_pose_estimation
 350 16 6
region_loss.py
in root
 146 3 6
valid_multi.py
in multi_obj_pose_estimation
 126 1 5
utils.py
in root
 367 32 5
cfg.py
in py2
 197 8 4
train_multi.py
in py2/multi_obj_pose_estimation
 311 5 4
darknet.py
in root
 364 15 3
dataset.py
in root
 88 3 3