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.
File Size Overall
- There are 128 files with 13,737 lines of code.
- 0 very long files (0 lines of code)
- 1 long files (622 lines of code)
- 19 medium size files (5,255 lines of codeclsfd_ftr_w_mp_ins)
- 32 small files (4,691 lines of code)
- 76 very small files (3,169 lines of code)
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
File Size per Logical Decomposition
primary
Longest Files (Top 50)
| File | # lines | # units |
|---|---|---|
 plyfile.py in pretrain/data_preprocess/scannet_pair |
622 | 65 |
resunet.py in downstream/semseg/models |
418 | 7 |
resunet.py in downstream/votenet_det_new/models/backbone/sparseconv/models |
418 | 7 |
ddp_trainer.py in pretrain/pointcontrast/lib |
335 | 13 |
pointnet2_modules.py in downstream/votenet_det_new/models/backbone/pointnet2 |
325 | 12 |
pc_util.py in downstream/votenet_det_new/lib/utils |
322 | 25 |
utils.py in downstream/semseg/lib |
304 | 35 |
dataset.py in downstream/semseg/lib |
285 | 19 |
res16unet.py in downstream/semseg/models |
277 | 4 |
res16unet.py in downstream/votenet_det_new/models/backbone/sparseconv/models |
276 | 4 |
sunrgbd_data.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
257 | 9 |
sunrgbd_utils.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
245 | 28 |
pc_utils.py in downstream/semseg/lib |
237 | 21 |
pytorch_utils.py in downstream/votenet_det_new/models/backbone/pointnet2 |
237 | 13 |
res16unet.py in pretrain/pointcontrast/model |
233 | 3 |
ddp_data_loaders.py in pretrain/pointcontrast/lib |
230 | 12 |
distributed.py in pretrain/pointcontrast/lib |
223 | 23 |
config.py in downstream/votenet_det_new/models/backbone/sparseconv |
218 | 6 |
sampling_gpu.cu in downstream/votenet_det_new/models/backbone/pointnet2/_ext_src/src |
212 | - |
box_util.py in downstream/votenet_det_new/lib/utils |
203 | 13 |
transforms.py in downstream/semseg/lib |
195 | 23 |
sunrgbd_detection_dataset.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
194 | 6 |
ap_helper.py in downstream/votenet_det_new/models |
192 | 9 |
pointnet2_utils.py in downstream/votenet_det_new/models/backbone/pointnet2 |
186 | 18 |
ddp_main.py in downstream/semseg |
184 | 4 |
stanford.py in downstream/semseg/lib/datasets |
176 | 5 |
common.py in downstream/semseg/models/modules |
168 | 10 |
common.py in downstream/votenet_det_new/models/backbone/sparseconv/models/modules |
168 | 10 |
common.py in pretrain/pointcontrast/model/modules |
164 | 10 |
resnet.py in downstream/semseg/models |
160 | 6 |
resnet.py in downstream/votenet_det_new/models/backbone/sparseconv/models |
160 | 6 |
train.py in downstream/semseg/lib |
154 | 4 |
voxelizer.py in downstream/votenet_det_new/models/backbone/sparseconv |
152 | 7 |
test.py in downstream/semseg/lib |
150 | 3 |
eval_det.py in downstream/votenet_det_new/lib/utils |
148 | 8 |
train.py in downstream/votenet_det_new/lib |
147 | 5 |
scannet.py in downstream/semseg/lib/datasets |
142 | 4 |
scannet_detection_dataset.py in downstream/votenet_det_new/lib/datasets/scannet |
142 | 5 |
nms.py in downstream/votenet_det_new/lib/utils |
142 | 5 |
distributed_utils.py in downstream/semseg/lib |
139 | 9 |
distributed_utils.py in downstream/votenet_det_new/lib/utils |
139 | 9 |
interpolate_gpu.cu in downstream/votenet_det_new/models/backbone/pointnet2/_ext_src/src |
136 | - |
ddp_main.py in downstream/votenet_det_new |
134 | 4 |
resnet.py in pretrain/pointcontrast/model |
126 | 6 |
loss_helper.py in downstream/votenet_det_new/models |
122 | 4 |
backbone_module.py in downstream/votenet_det_new/models |
121 | 5 |
conditional_random_fields.py in downstream/votenet_det_new/models/backbone/sparseconv/models |
118 | 5 |
voxelizer.py in downstream/semseg/lib |
110 | 6 |
dump_helper.py in downstream/votenet_det_new/models |
109 | 2 |
load_scannet_data.py in downstream/votenet_det_new/lib/datasets/scannet |
109 | 4 |
Files With Most Units (Top 20)
| File | # lines | # units |
|---|---|---|
plyfile.py in pretrain/data_preprocess/scannet_pair |
622 | 65 |
utils.py in downstream/semseg/lib |
304 | 35 |
sunrgbd_utils.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
245 | 28 |
pc_util.py in downstream/votenet_det_new/lib/utils |
322 | 25 |
transforms.py in downstream/semseg/lib |
195 | 23 |
distributed.py in pretrain/pointcontrast/lib |
223 | 23 |
pc_utils.py in downstream/semseg/lib |
237 | 21 |
dataset.py in downstream/semseg/lib |
285 | 19 |
pointnet2_utils.py in downstream/votenet_det_new/models/backbone/pointnet2 |
186 | 18 |
pytorch_utils.py in downstream/votenet_det_new/models/backbone/pointnet2 |
237 | 13 |
box_util.py in downstream/votenet_det_new/lib/utils |
203 | 13 |
ddp_trainer.py in pretrain/pointcontrast/lib |
335 | 13 |
pointnet2_modules.py in downstream/votenet_det_new/models/backbone/pointnet2 |
325 | 12 |
SensorData.py in pretrain/data_preprocess/scannet_pair |
102 | 12 |
ddp_data_loaders.py in pretrain/pointcontrast/lib |
230 | 12 |
common.py in downstream/semseg/models/modules |
168 | 10 |
layers.py in downstream/semseg/lib |
66 | 10 |
common.py in downstream/votenet_det_new/models/backbone/sparseconv/models/modules |
168 | 10 |
common.py in pretrain/pointcontrast/model/modules |
164 | 10 |
distributed_utils.py in downstream/semseg/lib |
139 | 9 |
Files With Long Lines (Top 20)
There are 21 files with lines longer than 120 characters. In total, there are 49 long lines.
| File | # lines | # units | # long lines |
|---|---|---|---|
dump_helper.py in downstream/votenet_det_new/models |
109 | 2 | 11 |
loss_helper.py in downstream/votenet_det_new/models |
122 | 4 | 7 |
ap_helper.py in downstream/votenet_det_new/models |
192 | 9 | 5 |
proposal_module.py in downstream/votenet_det_new/models |
88 | 3 | 4 |
utils.py in downstream/semseg/lib |
304 | 35 | 3 |
model_util_sunrgbd.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
70 | 6 | 2 |
eval_det.py in downstream/votenet_det_new/lib/utils |
148 | 8 | 2 |
train.py in downstream/votenet_det_new/lib |
147 | 5 | 2 |
transforms.py in downstream/semseg/lib |
195 | 23 | 1 |
train.py in downstream/semseg/lib |
154 | 4 | 1 |
loss_helper_boxnet.py in downstream/votenet_det_new/models |
60 | 2 | 1 |
backbone_module.py in downstream/votenet_det_new/models |
121 | 5 | 1 |
pointnet2_utils.py in downstream/votenet_det_new/models/backbone/pointnet2 |
186 | 18 | 1 |
sunrgbd_utils.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
245 | 28 | 1 |
sunrgbd_data.py in downstream/votenet_det_new/lib/datasets/sunrgbd |
257 | 9 | 1 |
 extract_rgbd_data_v2.m in downstream/votenet_det_new/lib/datasets/sunrgbd/matlab |
76 | - | 1 |
extract_rgbd_data_v1.m in downstream/votenet_det_new/lib/datasets/sunrgbd/matlab |
49 | - | 1 |
pc_util.py in downstream/votenet_det_new/lib/utils |
322 | 25 | 1 |
point_cloud_extractor.py in pretrain/data_preprocess/scannet_pair |
61 | 1 | 1 |
compute_full_overlapping.py in pretrain/data_preprocess/scannet_pair |
62 | 3 | 1 |