facebookresearch / MaskFormer
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 73 files with 7,357 lines of code.
    • 0 very long files (0 lines of code)
    • 3 long files (2,436 lines of code)
    • 8 medium size files (2,416 lines of codeclsfd_ftr_w_mp_ins)
    • 7 small files (951 lines of code)
    • 55 very small files (1,554 lines of code)
0% | 33% | 32% | 12% | 21%
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% | 38% | 38% | 15% | 8%
yaml0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
datasets0% | 66% | 30% | 0% | 3%
mask_former/data0% | 41% | 44% | 14% | <1%
mask_former/modeling0% | 30% | 32% | 18% | 18%
ROOT0% | 0% | 100% | 0% | 0%
mask_former0% | 0% | 76% | 0% | 23%
tools0% | 0% | 0% | 90% | 9%
configs/ade20k-1500% | 0% | 0% | 0% | 100%
configs/coco-panoptic0% | 0% | 0% | 0% | 100%
configs/coco-stuff-10k-1710% | 0% | 0% | 0% | 100%
configs/ade20k-full-8470% | 0% | 0% | 0% | 100%
configs/cityscapes-190% | 0% | 0% | 0% | 100%
configs/mapillary-vistas-650% | 0% | 0% | 0% | 100%
mask_former/utils0% | 0% | 0% | 0% | 100%
configs/ade20k-150-panoptic0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
prepare_ade20k_full_sem_seg.py
in datasets
 982 1
register_ade20k_full.py
in mask_former/data/datasets
 949 2
swin.py
in mask_former/modeling/backbone
 505 23
register_mapillary_vistas.py
in mask_former/data/datasets
 496 2
prepare_ade20k_pan_seg.py
in datasets
 446 -
register_ade20k_panoptic.py
in mask_former/data/datasets
 313 4
transformer.py
in mask_former/modeling/transformer
 311 19
pixel_decoder.py
in mask_former/modeling/heads
 227 12
train_net.py
in root
 212 7
register_coco_stuff_10k.py
in mask_former/data/datasets
 208 2
mask_former_model.py
in mask_former
 203 7
evaluate_pq_for_semantic_segmentation.py
in tools
 182 3
per_pixel_baseline.py
in mask_former/modeling/heads
 181 11
analyze_model.py
in tools
 140 5
mask_former_semantic_dataset_mapper.py
in mask_former/data/dataset_mappers
 120 3
transformer_predictor.py
in mask_former/modeling/transformer
 116 6
detr_panoptic_dataset_mapper.py
in mask_former/data/dataset_mappers
 110 4
mask_former_panoptic_dataset_mapper.py
in mask_former/data/dataset_mappers
 102 2
criterion.py
in mask_former/modeling
 98 9
mask_former_head.py
in mask_former/modeling/heads
 89 5
matcher.py
in mask_former/modeling
 76 6
misc.py
in mask_former/utils
 72 8
Base-COCOStuff10K-171.yaml
in configs/coco-stuff-10k-171
 58 -
Base-Cityscapes-19.yaml
in configs/cityscapes-19
 58 -
Base-ADE20K-150.yaml
in configs/ade20k-150
 58 -
Base-MapillaryVistas-65.yaml
in configs/mapillary-vistas-65
 53 -
Base-ADE20KFull-847.yaml
in configs/ade20k-full-847
 53 -
config.py
in mask_former
 49 1
Base-COCO-PanopticSegmentation.yaml
in configs/coco-panoptic
 46 -
maskformer_swin_large_IN21k_384_bs16_160k_res640.yaml
in configs/ade20k-150/swin
 45 -
maskformer_swin_base_IN21k_384_bs16_160k_res640.yaml
in configs/ade20k-150/swin
 45 -
maskformer_panoptic_swin_large_IN21k_384_bs64_554k.yaml
in configs/coco-panoptic/swin
 41 -
position_encoding.py
in mask_former/modeling/transformer
 36 2
maskformer_R101_bs16_90k.yaml
in configs/cityscapes-19
 35 -
maskformer_panoptic_R50_bs64_554k.yaml
in configs/coco-panoptic
 34 -
maskformer_panoptic_swin_base_IN21k_384_bs64_554k.yaml
in configs/coco-panoptic/swin
 33 -
maskformer_panoptic_R50_bs16_720k.yaml
in configs/ade20k-150-panoptic
 33 -
prepare_coco_stuff_10k_v1.0_sem_seg.py
in datasets
 32 -
maskformer_panoptic_swin_tiny_bs64_554k.yaml
in configs/coco-panoptic/swin
 32 -
maskformer_panoptic_swin_small_bs64_554k.yaml
in configs/coco-panoptic/swin
 32 -
maskformer_R50_bs32_60k.yaml
in configs/coco-stuff-10k-171
 27 -
maskformer_R50_bs16_160k.yaml
in configs/ade20k-150
 27 -
maskformer_R50_bs16_300k.yaml
in configs/mapillary-vistas-65
 27 -
maskformer_R50_bs16_200k.yaml
in configs/ade20k-full-847
 27 -
convert-torchvision-to-d2.py
in tools
 24 -
per_pixel_baseline_plus_R50_bs32_60k.yaml
in configs/coco-stuff-10k-171
 24 -
per_pixel_baseline_plus_R50_bs16_160k.yaml
in configs/ade20k-150
 24 -
per_pixel_baseline_plus_R50_bs16_200k.yaml
in configs/ade20k-full-847
 24 -
maskformer_swin_tiny_bs16_160k.yaml
in configs/ade20k-150/swin
 23 -
maskformer_swin_small_bs16_160k.yaml
in configs/ade20k-150/swin
 23 -
Files With Most Units (Top 20)
File# lines# units
swin.py
in mask_former/modeling/backbone
 505 23
transformer.py
in mask_former/modeling/transformer
 311 19
pixel_decoder.py
in mask_former/modeling/heads
 227 12
per_pixel_baseline.py
in mask_former/modeling/heads
 181 11
criterion.py
in mask_former/modeling
 98 9
misc.py
in mask_former/utils
 72 8
train_net.py
in root
 212 7
mask_former_model.py
in mask_former
 203 7
matcher.py
in mask_former/modeling
 76 6
transformer_predictor.py
in mask_former/modeling/transformer
 116 6
analyze_model.py
in tools
 140 5
mask_former_head.py
in mask_former/modeling/heads
 89 5
detr_panoptic_dataset_mapper.py
in mask_former/data/dataset_mappers
 110 4
register_ade20k_panoptic.py
in mask_former/data/datasets
 313 4
evaluate_pq_for_semantic_segmentation.py
in tools
 182 3
mask_former_semantic_dataset_mapper.py
in mask_former/data/dataset_mappers
 120 3
position_encoding.py
in mask_former/modeling/transformer
 36 2
mask_former_panoptic_dataset_mapper.py
in mask_former/data/dataset_mappers
 102 2
register_ade20k_full.py
in mask_former/data/datasets
 949 2
register_mapillary_vistas.py
in mask_former/data/datasets
 496 2
Files With Long Lines (Top 3)

There are 3 files with lines longer than 120 characters. In total, there are 8 long lines.

File# lines# units# long lines
evaluate_pq_for_semantic_segmentation.py
in tools
 182 3 4
prepare_ade20k_full_sem_seg.py
in datasets
 982 1 2
register_ade20k_full.py
in mask_former/data/datasets
 949 2 2