facebookresearch / DensePose
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 108 files with 13,614 lines of code.
    • 0 very long files (0 lines of code)
    • 3 long files (2,215 lines of code)
    • 18 medium size files (5,387 lines of codeclsfd_ftr_w_mp_ins)
    • 20 small files (2,910 lines of code)
    • 67 very small files (3,102 lines of code)
0% | 16% | 39% | 21% | 22%
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% | 19% | 40% | 23% | 16%
cmake0% | 0% | 74% | 0% | 25%
cu0% | 0% | 84% | 0% | 15%
pyx0% | 0% | 0% | 78% | 21%
yaml0% | 0% | 0% | 0% | 100%
m0% | 0% | 0% | 0% | 100%
h0% | 0% | 0% | 0% | 100%
cc0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
challenge/2019_COCO_DensePose0% | 100% | 0% | 0% | 0%
detectron/datasets0% | 25% | 51% | 15% | 7%
detectron/core0% | 48% | 51% | 0% | <1%
detectron/modeling0% | 0% | 70% | 18% | 11%
detectron/utils0% | 0% | 23% | 40% | 35%
cmake/legacy0% | 0% | 77% | 0% | 22%
detectron/ops0% | 0% | 42% | 0% | 58%
detectron/roi_data0% | 0% | 17% | 57% | 24%
tools0% | 0% | 0% | 81% | 18%
configs0% | 0% | 0% | 0% | 100%
challenge0% | 0% | 0% | 0% | 100%
PoseTrack/configs0% | 0% | 0% | 0% | 100%
ROOT0% | 0% | 0% | 0% | 100%
cmake0% | 0% | 0% | 0% | 100%
detectron0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
densepose_cocoeval.py
in challenge/2019_COCO_DensePose
 918 24
densepose_cocoeval.py
in detectron/datasets
 670 17
test.py
in detectron/core
 627 26
config.py
in detectron/core
 472 13
model_builder.py
in detectron/modeling
 426 48
json_dataset_evaluator.py
in detectron/datasets
 420 18
FPN.py
in detectron/modeling
 395 17
json_dataset.py
in detectron/datasets
 387 12
detector.py
in detectron/modeling
 340 22
task_evaluation.py
in detectron/datasets
 318 23
vis.py
in detectron/utils
 304 9
model_convert_utils.py
in detectron/utils
 277 24
cmake
Utils.cmake
in cmake/legacy
 257 -
ResNet.py
in detectron/modeling
 256 15
retinanet_heads.py
in detectron/modeling
 245 3
cu
pool_points_interp.cu
in detectron/ops
 231 -
dataset_catalog.py
in detectron/datasets
 227 7
mask_rcnn_heads.py
in detectron/modeling
 224 10
cmake
Cuda.cmake
in cmake/legacy
 206 -
rpn_generator.py
in detectron/core
 201 7
loader.py
in detectron/roi_data
 201 15
net.py
in detectron/utils
 196 9
boxes.py
in detectron/utils
 191 16
rpn.py
in detectron/roi_data
 188 3
segms.py
in detectron/utils
 170 9
keypoints.py
in detectron/utils
 168 9
fast_rcnn.py
in detectron/roi_data
 164 5
retinanet.py
in detectron/roi_data
 164 3
infer.py
in tools
 152 4
body_uv_rcnn_heads.py
in detectron/modeling
 147 4
body_uv_rcnn.py
in detectron/roi_data
 142 1
voc_dataset_evaluator.py
in detectron/datasets
 141 6
pyx
cython_nms.pyx
in detectron/utils
 141 2
keypoint_rcnn_heads.py
in detectron/modeling
 132 4
roidb.py
in detectron/datasets
 130 6
voc_eval.py
in detectron/datasets
 125 3
train.py
in detectron/utils
 118 6
fast_rcnn_heads.py
in detectron/modeling
 117 5
infer_simple.py
in tools
 113 2
visualize_results.py
in tools
 106 2
rpn_heads.py
in detectron/modeling
 105 3
densepose_methods.py
in detectron/utils
 95 6
colormap.py
in detectron/utils
 93 1
generate_proposals.py
in detectron/ops
 92 4
subprocess.py
in detectron/utils
 90 2
train_net.py
in tools
 84 3
DensePoseKeyPointsMask_ResNet50_FPN_s1x-e2e.yaml
in configs
 84 -
encode_results_for_competition.py
in challenge
 81 5
io.py
in detectron/utils
 79 7
blob.py
in detectron/utils
 78 9
Files With Most Units (Top 20)
File# lines# units
model_builder.py
in detectron/modeling
 426 48
test.py
in detectron/core
 627 26
model_convert_utils.py
in detectron/utils
 277 24
densepose_cocoeval.py
in challenge/2019_COCO_DensePose
 918 24
task_evaluation.py
in detectron/datasets
 318 23
detector.py
in detectron/modeling
 340 22
json_dataset_evaluator.py
in detectron/datasets
 420 18
densepose_cocoeval.py
in detectron/datasets
 670 17
FPN.py
in detectron/modeling
 395 17
boxes.py
in detectron/utils
 191 16
ResNet.py
in detectron/modeling
 256 15
loader.py
in detectron/roi_data
 201 15
config.py
in detectron/core
 472 13
c2.py
in detectron/utils
 76 13
json_dataset.py
in detectron/datasets
 387 12
mask_rcnn_heads.py
in detectron/modeling
 224 10
net.py
in detectron/utils
 196 9
vis.py
in detectron/utils
 304 9
keypoints.py
in detectron/utils
 168 9
segms.py
in detectron/utils
 170 9
Files With Long Lines (Top 13)

There are 13 files with lines longer than 120 characters. In total, there are 29 long lines.

File# lines# units# long lines
body_uv_rcnn_heads.py
in detectron/modeling
 147 4 6
densepose_methods.py
in detectron/utils
 95 6 4
densepose_cocoeval.py
in challenge/2019_COCO_DensePose
 918 24 4
cmake
Utils.cmake
in cmake/legacy
 257 - 3
cmake
Cuda.cmake
in cmake/legacy
 206 - 2
densepose_cocoeval.py
in detectron/datasets
 670 17 2
body_uv_rcnn.py
in detectron/roi_data
 142 1 2
rpn.py
in detectron/roi_data
 188 3 1
DensePose_ResNet50_FPN_s1x.yaml
in configs
 59 - 1
DensePose_ResNet50_FPN_single_GPU.yaml
in configs
 59 - 1
rpn_densepose_only_R-50-FPN_1x.yaml
in configs
 33 - 1
DensePose_ResNet101_FPN_s1x.yaml
in configs
 59 - 1
rpn_densepose_only_X-101-32x8d-FPN_1x.yaml
in configs
 38 - 1