microsoft / human-pose-estimation.pytorch
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 3,391 lines of code.
    • 0 very long files (0 lines of code)
    • 0 long files (0 lines of code)
    • 2 medium size files (560 lines of codeclsfd_ftr_w_mp_ins)
    • 8 small files (1,150 lines of code)
    • 31 very small files (1,681 lines of code)
0% | 0% | 16% | 33% | 49%
Legend:
1001+
501-1000
201-500
101-200
1-100


explore: zoomable circles | sunburst | 3D view
File Size per Extension
1001+
501-1000
201-500
101-200
1-100
py0% | 0% | 26% | 49% | 24%
cu0% | 0% | 0% | 100% | 0%
yaml0% | 0% | 0% | 0% | 100%
pyx0% | 0% | 0% | 0% | 100%
hpp0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
lib/dataset0% | 0% | 51% | 47% | <1%
lib/models0% | 0% | 98% | 0% | 1%
lib/core0% | 0% | 0% | 72% | 27%
pose_estimation0% | 0% | 0% | 96% | 3%
lib/nms0% | 0% | 0% | 34% | 65%
lib/utils0% | 0% | 0% | 36% | 63%
experiments/coco/resnet1010% | 0% | 0% | 0% | 100%
experiments/coco/resnet1520% | 0% | 0% | 0% | 100%
experiments/coco/resnet500% | 0% | 0% | 0% | 100%
experiments/mpii/resnet1520% | 0% | 0% | 0% | 100%
experiments/mpii/resnet500% | 0% | 0% | 0% | 100%
experiments/mpii/resnet1010% | 0% | 0% | 0% | 100%
Longest Files (Top 41)
File# lines# units
coco.py
in lib/dataset
 318 14
pose_resnet.py
in lib/models
 242 14
function.py
in lib/core
 171 6
config.py
in lib/core
 170 5
JointsDataset.py
in lib/dataset
 165 7
train.py
in pose_estimation
 155 3
mpii.py
in lib/dataset
 129 3
valid.py
in pose_estimation
 126 3
nms_kernel.cu
in lib/nms
 122 -
vis.py
in lib/utils
 112 3
setup.py
in lib/nms
 80 4
transforms.py
in lib/utils
 80 8
nms.py
in lib/nms
 78 6
256x192_d256x3_adam_lr1e-3_caffe.yaml
in experiments/coco/resnet101
 76 -
256x192_d256x3_adam_lr1e-3_caffe.yaml
in experiments/coco/resnet152
 76 -
256x192_d256x3_adam_lr1e-3_caffe.yaml
in experiments/coco/resnet50
 76 -
256x192_d256x3_adam_lr1e-3.yaml
in experiments/coco/resnet101
 75 -
384x288_d256x3_adam_lr1e-3.yaml
in experiments/coco/resnet101
 75 -
256x192_d256x3_adam_lr1e-3.yaml
in experiments/coco/resnet152
 75 -
384x288_d256x3_adam_lr1e-3.yaml
in experiments/coco/resnet152
 75 -
256x192_d256x3_adam_lr1e-3.yaml
in experiments/coco/resnet50
 75 -
384x288_d256x3_adam_lr1e-3.yaml
in experiments/coco/resnet50
 75 -
256x256_d256x3_adam_lr1e-3.yaml
in experiments/mpii/resnet101
 72 -
256x256_d256x3_adam_lr1e-3.yaml
in experiments/mpii/resnet152
 72 -
384x384_d256x3_adam_lr1e-3.yaml
in experiments/mpii/resnet152
 72 -
256x256_d256x3_adam_lr1e-3.yaml
in experiments/mpii/resnet50
 72 -
384x384_d256x3_adam_lr1e-3.yaml
in experiments/mpii/resnet50
 72 -
384x384_d256x3_adam_lr1e-3.yaml
in experiments/mpii/resnet101
 68 -
utils.py
in lib/utils
 60 3
zipreader.py
in lib/utils
 55 2
evaluate.py
in lib/core
 54 3
pyx
cpu_nms.pyx
in lib/nms
 49 1
inference.py
in lib/core
 48 2
loss.py
in lib/core
 26 2
pyx
gpu_nms.pyx
in lib/nms
 21 1
_init_paths.py
in pose_estimation
 11 1
__init__.py
in lib/dataset
 5 -
__init__.py
in lib/models
 4 -
gpu_nms.hpp
in lib/nms
 2 -
__init__.py
in lib/nms
 1 -
__init__.py
in lib/utils
 1 -
Files With Most Units (Top 20)
File# lines# units
coco.py
in lib/dataset
 318 14
pose_resnet.py
in lib/models
 242 14
transforms.py
in lib/utils
 80 8
JointsDataset.py
in lib/dataset
 165 7
function.py
in lib/core
 171 6
nms.py
in lib/nms
 78 6
config.py
in lib/core
 170 5
setup.py
in lib/nms
 80 4
evaluate.py
in lib/core
 54 3
mpii.py
in lib/dataset
 129 3
utils.py
in lib/utils
 60 3
vis.py
in lib/utils
 112 3
train.py
in pose_estimation
 155 3
valid.py
in pose_estimation
 126 3
inference.py
in lib/core
 48 2
loss.py
in lib/core
 26 2
zipreader.py
in lib/utils
 55 2
pyx
cpu_nms.pyx
in lib/nms
 49 1
pyx
gpu_nms.pyx
in lib/nms
 21 1
_init_paths.py
in pose_estimation
 11 1
Files With Long Lines (Top 1)

There is only one file with lines longer than 120 characters. In total, there is only one long line.

File# lines# units# long lines
nms.py
in lib/nms
 78 6 1