facebookresearch / ContrastiveSceneContexts
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 213 files with 24,369 lines of code.
    • 0 very long files (0 lines of code)
    • 1 long files (622 lines of code)
    • 36 medium size files (10,498 lines of codeclsfd_ftr_w_mp_ins)
    • 57 small files (8,257 lines of code)
    • 119 very small files (4,992 lines of code)
0% | 2% | 43% | 33% | 20%
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% | 2% | 45% | 34% | 17%
cu0% | 0% | 42% | 27% | 30%
yaml0% | 0% | 0% | 62% | 37%
cpp0% | 0% | 0% | 0% | 100%
h0% | 0% | 0% | 0% | 100%
ninja0% | 0% | 0% | 0% | 100%
File Size per Logical Decomposition
primary
1001+
501-1000
201-500
101-200
1-100
pretrain/scannet_pair0% | 68% | 0% | 11% | 19%
downstream/votenet/models0% | 0% | 38% | 34% | 26%
pretrain/contrastive_scene_contexts/lib0% | 0% | 66% | 13% | 19%
downstream/votenet/lib0% | 0% | 56% | 31% | 11%
downstream/insseg/datasets0% | 0% | 40% | 51% | 7%
pretrain/contrastive_scene_contexts/model0% | 0% | 44% | 26% | 28%
downstream/semseg/datasets0% | 0% | 36% | 53% | 9%
downstream/semseg/lib0% | 0% | 62% | 18% | 19%
downstream/insseg/lib0% | 0% | 46% | 27% | 26%
downstream/insseg/models0% | 0% | 52% | 24% | 22%
downstream/semseg/models0% | 0% | 52% | 24% | 23%
downstream/votenet/datasets0% | 0% | 28% | 49% | 22%
downstream/semseg/config0% | 0% | 0% | 100% | 0%
downstream/insseg/config0% | 0% | 0% | 100% | 0%
pretrain/contrastive_scene_contexts/config0% | 0% | 0% | 0% | 100%
downstream/votenet/config0% | 0% | 0% | 0% | 100%
pretrain/contrastive_scene_contexts0% | 0% | 0% | 0% | 100%
downstream/votenet0% | 0% | 0% | 0% | 100%
downstream/insseg0% | 0% | 0% | 0% | 100%
downstream/semseg0% | 0% | 0% | 0% | 100%
Longest Files (Top 50)
File# lines# units
plyfile.py
in pretrain/scannet_pair
 622 65
pc_util.py
in downstream/votenet/lib/utils
 475 27
resunet.py
in downstream/semseg/models
 418 7
resunet.py
in downstream/insseg/models
 418 7
resunet.py
in downstream/votenet/models/backbone/sparseconv/models_sparseconv
 418 7
dataset.py
in downstream/insseg/datasets
 413 25
ddp_trainer.py
in pretrain/contrastive_scene_contexts/lib
 387 13
ddp_trainer.py
in downstream/votenet/lib
 369 10
pointnet2_modules.py
in downstream/votenet/models/backbone/pointnet2
 325 12
pointnet2_modules.py
in pretrain/contrastive_scene_contexts/model/pointnet2
 325 12
evaluate_semantic_instance.py
in downstream/semseg/datasets/evaluation
 320 13
dataset.py
in downstream/semseg/datasets
 316 21
evaluate_semantic_instance.py
in downstream/insseg/datasets/evaluation
 315 13
evaluate_semantic_instance.py
in downstream/semseg/datasets/evaluation/scannet_benchmark_utils/scripts
 310 12
evaluate_semantic_instance.py
in downstream/insseg/datasets/evaluation/scannet_benchmark_utils/scripts
 310 12
evaluate_semantic_instance.py
in pretrain/contrastive_scene_contexts/lib/evaluation
 310 12
ddp_data_loaders.py
in pretrain/contrastive_scene_contexts/lib
 301 15
res16unet.py
in downstream/insseg/models
 284 4
res16unet.py
in downstream/semseg/models
 277 4
res16unet.py
in downstream/votenet/models/backbone/sparseconv/models_sparseconv
 276 4
ddp_trainer.py
in downstream/insseg/lib
 267 7
sunrgbd_data.py
in downstream/votenet/datasets/sunrgbd
 257 9
sunrgbd_utils.py
in downstream/votenet/datasets/sunrgbd
 245 28
pc_utils.py
in downstream/semseg/lib
 237 21
pc_utils.py
in downstream/insseg/lib
 237 21
pytorch_utils.py
in downstream/votenet/models/backbone/pointnet2
 237 13
pytorch_utils.py
in pretrain/contrastive_scene_contexts/model/pointnet2
 237 13
res16unet.py
in pretrain/contrastive_scene_contexts/model
 237 3
utils.py
in downstream/insseg/lib
 236 30
utils.py
in downstream/semseg/lib
 233 30
ddp_trainer.py
in downstream/semseg/lib
 227 7
distributed.py
in pretrain/contrastive_scene_contexts/lib
 223 23
plot_graph.py
in downstream/semseg/lib
 221 5
config.py
in downstream/votenet/models/backbone/sparseconv
 218 6
cu
sampling_gpu.cu
in downstream/votenet/models/backbone/pointnet2/_ext_src/src
 208 -
cu
sampling_gpu.cu
in pretrain/contrastive_scene_contexts/model/pointnet2/_ext_src/src
 208 -
box_util.py
in downstream/votenet/lib/utils
 203 13
ap_helper.py
in downstream/votenet/models
 200 10
test.py
in downstream/insseg/lib
 194 4
transforms.py
in downstream/insseg/datasets
 192 23
stanford.py
in downstream/insseg/datasets
 192 6
sunrgbd_detection_dataset.py
in downstream/votenet/datasets/sunrgbd
 192 6
transforms.py
in downstream/semseg/datasets
 191 23
stanford.py
in downstream/semseg/datasets
 191 6
pointnet2_utils.py
in downstream/votenet/models/backbone/pointnet2
 186 18
pointnet2_utils.py
in pretrain/contrastive_scene_contexts/model/pointnet2
 186 18
common.py
in downstream/semseg/models/modules
 168 10
common.py
in downstream/insseg/models/modules
 168 10
common.py
in downstream/votenet/models/backbone/sparseconv/models_sparseconv/modules
 168 10
io3d.py
in downstream/votenet/lib/utils
 166 4
Files With Most Units (Top 20)
File# lines# units
plyfile.py
in pretrain/scannet_pair
 622 65
utils.py
in downstream/semseg/lib
 233 30
utils.py
in downstream/insseg/lib
 236 30
sunrgbd_utils.py
in downstream/votenet/datasets/sunrgbd
 245 28
pc_util.py
in downstream/votenet/lib/utils
 475 27
dataset.py
in downstream/insseg/datasets
 413 25
transforms.py
in downstream/semseg/datasets
 191 23
transforms.py
in downstream/insseg/datasets
 192 23
distributed.py
in pretrain/contrastive_scene_contexts/lib
 223 23
dataset.py
in downstream/semseg/datasets
 316 21
pc_utils.py
in downstream/semseg/lib
 237 21
pc_utils.py
in downstream/insseg/lib
 237 21
pointnet2_utils.py
in downstream/votenet/models/backbone/pointnet2
 186 18
pointnet2_utils.py
in pretrain/contrastive_scene_contexts/model/pointnet2
 186 18
distributed.py
in downstream/semseg/lib
 134 15
distributed.py
in downstream/insseg/lib
 134 15
util_3d.py
in downstream/votenet/datasets/evaluation
 134 15
distributed.py
in downstream/votenet/lib
 135 15
ddp_data_loaders.py
in pretrain/contrastive_scene_contexts/lib
 301 15
util_3d.py
in downstream/semseg/datasets/evaluation/scannet_benchmark_utils
 127 14
Files With Long Lines (Top 20)

There are 47 files with lines longer than 120 characters. In total, there are 147 long lines.

File# lines# units# long lines
dump_helper.py
in downstream/votenet/models
 150 3 13
evaluate_semantic_instance.py
in downstream/semseg/datasets/evaluation
 320 13 7
evaluate_semantic_instance.py
in downstream/semseg/datasets/evaluation/scannet_benchmark_utils/scripts
 310 12 7
evaluate_semantic_instance.py
in downstream/insseg/datasets/evaluation
 315 13 7
evaluate_semantic_instance.py
in downstream/insseg/datasets/evaluation/scannet_benchmark_utils/scripts
 310 12 7
loss_helper.py
in downstream/votenet/models
 122 4 7
evaluate_semantic_instance.py
in pretrain/contrastive_scene_contexts/lib/evaluation
 310 12 7
ddp_trainer.py
in downstream/insseg/lib
 267 7 6
evaluate_object_detection.py
in downstream/votenet/datasets/evaluation
 135 5 6
ddp_trainer.py
in downstream/semseg/lib
 227 7 5
ninja
build.ninja
in downstream/insseg/lib/bfs/ops/build/temp.linux-x86_64-3.7
 16 - 5
ap_helper.py
in downstream/votenet/models
 200 10 5
proposal_module.py
in downstream/votenet/models
 88 3 4
ddp_trainer.py
in downstream/votenet/lib
 369 10 4
cu
bfs_cluster_kernel.cu
in downstream/insseg/lib/bfs/ops/src
 72 - 3
bfs_cluster.cpp
in downstream/insseg/lib/bfs/ops/src
 99 6 3
util_3d.py
in downstream/votenet/datasets/evaluation
 134 15 3
pc_util.py
in downstream/votenet/lib/utils
 475 27 3
evaluate_semantic_label.py
in downstream/semseg/datasets/evaluation
 120 8 2
util_3d.py
in downstream/semseg/datasets/evaluation/scannet_benchmark_utils
 127 14 2