• 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.

• There are 919 files with 94,693 lines of code.
• 4 very long files (5,008 lines of code)
• 18 long files (11,597 lines of code)
• 113 medium size files (33,895 lines of codeclsfd_ftr_w_mp_ins)
• 185 small files (26,522 lines of code)
• 599 very small files (17,671 lines of code)

There are 59 files with lines longer than 120 characters. In total, there are 173 long lines.

File	# lines	# units	# long lines
modelzoo.py in easycv/models	262	-	99
optimizer_hook.py in easycv/hooks	146	9	5
yolox.py in easycv/models/detection/detectors/yolox	176	8	4
feature_extractor.py in easycv/predictors	308	16	3
classification_eval.py in easycv/core/evaluation	166	6	3
asff.py in easycv/models/detection/detectors/yolox	130	4	2
transforms_3d.py in easycv/datasets/detection3d/pipelines	236	22	2
rec_model_ch.py in configs/ocr/recognition	120	-	2
clipbert.py in configs/video_recognition/clipbert	156	-	2
clipbert_multilabel.py in configs/video_recognition/clipbert	158	-	2
base.py in easycv/predictors	299	27	1
pose_predictor.py in easycv/predictors	430	19	1
dino_head.py in easycv/models/detection/detectors/dino	439	8	1
deformable_transformer.py in easycv/models/detection/detectors/dino	927	21	1
pytorch_image_models_wrapper.py in easycv/models/backbones	143	3	1
genet.py in easycv/models/backbones	1429	76	1
cross_entropy_loss.py in easycv/models/loss	207	11	1
export.py in easycv/apis	675	21	1
file_io.py in easycv/file	526	51	1
utils.py in easycv/file	84	8	1
oc_human.py in easycv/datasets/pose/data_sources	303	5	1
crowd_human.py in easycv/datasets/detection/data_sources	81	3	1
auc_eval.py in easycv/core/evaluation	48	2	1
retrival_topk_eval.py in easycv/core/evaluation	158	3	1
best_ckpt_saver_hook.py in easycv/hooks	65	3	1
prune_utils.py in easycv/toolkit/prune	73	2	1
cv_blade_utils.py in easycv/toolkit/blade	303	11	1
cub_resnet50_jpg.py in configs/metric_learning	89	-	1
sop_timm_swinb_local.py in configs/metric_learning	123	-	1
stdc1_cityscape_8xb6_e1290.py in configs/segmentation/stdc	181	-	1
stdc2_cityscape_8xb6_e1290.py in configs/segmentation/stdc	6	-	1
direction_model.py in configs/ocr/direction	73	-	1
rec_model_devanagari.py in configs/ocr/recognition	41	-	1
rec_model_korean.py in configs/ocr/recognition	40	-	1
rec_model_cyrillic.py in configs/ocr/recognition	41	-	1
rec_model_en.py in configs/ocr/recognition	117	-	1
rec_model_arabic.py in configs/ocr/recognition	118	-	1
rec_model_japan.py in configs/ocr/recognition	41	-	1
rec_model_latin.py in configs/ocr/recognition	41	-	1
rec_model_chinese_cht.py in configs/ocr/recognition	41	-	1
fcos_r50_torch_1x_mot20_crowdhuman.py in configs/detection/fcos	36	-	1
fcos_r50_caffe_1x_coco.py in configs/detection/fcos	44	-	1
yolox_s_8xb16_300e_coco.py in configs/detection/yolox	163	-	1
pai_yoloxs_asff_8xb16_300e_coco.py in configs/detection/yolox	159	-	1
pai_yoloxs_8xb16_300e_coco.py in configs/detection/yolox	159	-	1
pai_yoloxs_asff_tood3_8xb16_300e_coco.py in configs/detection/yolox	160	-	1
vitdet_mask_rcnn.py in configs/detection/vitdet	145	-	1
vitdet_faster_rcnn.py in configs/detection/vitdet	129	-	1
vitdet_cascade_mask_rcnn.py in configs/detection/vitdet	225	-	1
dino_5sc_swinl_center_iou_memoryreduce_18e_obj2coco.py in configs/detection/dino	17	-	1