microsoft / computervision-recipes
Unit Size

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

Intro
  • Unit size measurements show the distribution of size of units of code (methods, functions...).
  • Units are classified in four categories based on their size (lines of code): 1-20 (small units), 20-50 (medium size units), 51-100 (long units), 101+ (very long units).
  • You should aim at keeping units small (< 20 lines). Long units may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.
Learn more...
Unit Size Overall
  • There are 960 units with 11,352 lines of code in units (61.4% of code).
    • 5 very long units (632 lines of code)
    • 15 long units (1,053 lines of code)
    • 120 medium size units (3,697 lines of code)
    • 197 small units (2,823 lines of code)
    • 623 very small units (3,147 lines of code)
5% | 9% | 32% | 24% | 27%
Legend:
101+
51-100
21-50
11-20
1-10
Unit Size per Extension
101+
51-100
21-50
11-20
1-10
py5% | 9% | 32% | 24% | 27%
js0% | 10% | 43% | 23% | 22%
Unit Size per Logical Component
primary logical decomposition
101+
51-100
21-50
11-20
1-10
utils_cv/classification40% | 0% | 11% | 22% | 25%
utils_cv/tracking4% | 7% | 31% | 31% | 24%
scenarios/classification95% | 0% | 0% | 0% | 4%
utils_cv/detection0% | 15% | 36% | 15% | 32%
contrib/action_recognition0% | 35% | 25% | 16% | 22%
contrib/document_cleanup0% | 13% | 59% | 12% | 13%
contrib/html_demo0% | 10% | 43% | 23% | 22%
utils_cv/action_recognition0% | 0% | 24% | 27% | 47%
utils_cv/similarity0% | 0% | 49% | 10% | 39%
contrib/vm_builder0% | 0% | 38% | 38% | 23%
contrib/crowd_counting0% | 0% | 44% | 13% | 42%
scenarios/action_recognition0% | 0% | 60% | 34% | 4%
utils_cv/common0% | 0% | 0% | 23% | 76%
contrib/vmss_builder0% | 0% | 0% | 55% | 44%
utils_cv/segmentation0% | 0% | 0% | 19% | 80%
Alternative Visuals
Longest Units
Top 20 longest units
Unit# linesMcCabe index# params
def _get_parser()
in scenarios/classification/tools/sweep.py
 134 8 2
def _create_ui()
in utils_cv/classification/widget.py
 131 28 1
def update()
in utils_cv/tracking/references/fairmot/tracker/multitracker.py
 126 30 3
def __init__()
in utils_cv/tracking/references/fairmot/opts.py
 122 1 1
def _create_ui()
in utils_cv/classification/widget.py
 119 9 1
def run()
in contrib/action_recognition/i3d/train.py
 96 9 2
def coco_labels()
in utils_cv/detection/data.py
 94 1 0
def GenerateTrainingBlocks()
in contrib/document_cleanup/light_weight_document_cleanup_ICDAR2021/CreateTrainingData.py
 86 4 5
def __init__()
in utils_cv/tracking/references/fairmot/models/networks/pose_hrnet.py
 84 14 3
def __init__()
in contrib/action_recognition/i3d/models/pytorch_i3d.py
 79 19 7
def _read_annos()
in utils_cv/detection/dataset.py
 79 34 1
def run()
in contrib/action_recognition/i3d/test.py
 75 9 2
def main()
in utils_cv/detection/references/train.py
 67 11 1
def get_data()
in utils_cv/tracking/references/fairmot/datasets/dataset/jde.py
 64 15 3
def __init__()
in utils_cv/tracking/references/fairmot/models/networks/dlav0.py
 61 6 6
async function jsonParser()
in contrib/html_demo/UICode/script.js
 55 13 2
def _make_fuse_layers()
in utils_cv/tracking/references/fairmot/models/networks/pose_hrnet.py
 54 9 1
def log_every()
in utils_cv/detection/references/utils.py
 53 7 4
def build_targets_max()
in utils_cv/tracking/references/fairmot/tracking_utils/utils.py
 53 11 6
def run_epoch()
in utils_cv/tracking/references/fairmot/trains/base_trainer.py
 53 16 4