z1069614715/objectdetection_script

12.7

Adjusted Score

12.7

Raw Score

100%

Time Factor

2026-07-25

Last Push

7.3K

Stars

Python

Language

58.2K

Lines of Code

350

Files

585

Pattern Hits

2026-08-02

Scan Date

0.07

HC Hit Rate

What These Metrics Mean

Adjusted Score: Primary synthetic code indicator. Raw score normalised per 1,000 lines of code and multiplied by the temporal discount factor. This is the definitive comparative metric — use it to rank repositories by AI authorship density.
Raw Score: The unmodified sum of all severity-weighted, context-multiplied pattern match scores before temporal discounting. Reflects the absolute signal strength independent of when the repository was last active.
Time Factor: The temporal discount multiplier (0–100%) applied to the raw score. Repositories last updated before ChatGPT's launch (Nov 2022) receive a 5% factor. Full signal is only assigned to repositories active in the post-adoption era (Jan 2024+).
Pattern Hits: Total count of individual pattern matches across all files and categories. A high hit count with a low score may indicate a very large codebase with isolated AI snippets; a low count with a high score indicates dense, concentrated AI signatures.
HC Hit Rate: High+Critical pattern hits per file, averaged across the repository. This orthogonal signal catches repositories where a few files are densely packed with high-severity AI tells — a strong indicator even when the normalised score appears moderate due to codebase size.
Lines of Code / Files: Total lines and files analysed. The scanner examines 94 file extensions. These denominators are used to normalise the score, enabling fair comparison between repositories of vastly different sizes.

Score History

Longitudinal tracking requires multiple scan runs. Once this repository is re-scanned after new commits land, this chart will visualise how the synthetic code signal evolves over time — enabling you to detect whether AI authorship is growing, stabilising, or being actively corrected by human engineers.

No multi-scan history yet — run the scanner again to build trend data.

Severity Breakdown

Classifies detected patterns by their diagnostic confidence and structural impact. CRITICAL patterns (coefficient 10) represent definitive synthetic signatures — hallucinated imports, explicit LLM attribution metadata — virtually never produced by human authors. HIGH (5) indicates strong structural tells such as cross-file repetition or cross-linguistic idioms. MEDIUM (2) covers recognisable conversational padding and AI-specific vocabulary. LOW (1) captures subtle indicators like tautological comments and generic boilerplate that require density to carry independent signal.

CRITICAL 0HIGH 24MEDIUM 27LOW 534

Directory Score Breakdown

This horizontal bar chart decomposes the repository's raw synthetic code score by top-level directory, allowing you to pinpoint precisely which modules or components carry the highest AI authorship density. Directories with disproportionately high scores relative to their size warrant targeted manual review: concentrated AI signatures often trace back to mass-generated configuration layers, auto-ported test suites, LLM-scaffolded boilerplate classes, or entire subsystems authored under heavy copilot assistance. Use this view to prioritise your human code-review effort.

Pattern Findings

The scanner identified 585 distinct pattern matches across 15 syntactic categories. Each entry below represents a discrete location in the source code where the engine recorded a statistically significant AI authorship indicator. Expand any category row to inspect the individual file paths, line numbers, code snippets, and the lexical context (CODE, COMMENT, or STRING) in which each match was detected.

Reading the findings table: The Severity column indicates the diagnostic confidence level (CRITICAL / HIGH / MEDIUM / LOW). The Context column identifies whether the match occurred inside executable code, an inline comment, or a string literal — comment-context matches receive a ×1.5 weight because LLMs systematically over-annotate. The ⚡ bolt icon marks clustered matches: three or more patterns within a 10-line window, each receiving an additional ×1.5 density multiplier as dense clusters constitute far stronger evidence of synthetic authorship than isolated hits.

Unused Imports198 hits · 198 pts

Severity	File	Line	Context
LOW	mmdet-course/mmdet2yolo.py	1	CODE
LOW	mmdet-course/mmdet2yolo.py	1	CODE
LOW	mmdet-course/mmdet2yolo.py	1	CODE
LOW	mmdet-course/mmdet2yolo.py	1	CODE
LOW	damo-yolo/voc2coco.py	4	CODE
LOW	objectdetection-tricks/tricks_10.py	3	CODE
LOW	objectdetection-tricks/tricks_4.py	5	CODE
LOW	objectdetection-tricks/tricks_7.py	4	CODE
LOW	objectdetection-tricks/tricks_7.py	5	CODE
LOW	objectdetection-tricks/tricks_7.py	7	CODE
LOW	objectdetection-tricks/tricks_7.py	9	CODE
LOW	objectdetection-tricks/tricks_7.py	10	CODE
LOW	objectdetection-tricks/tricks_7.py	11	CODE
LOW	objectdetection-tricks/tricks_7.py	12	CODE
LOW	objectdetection-tricks/tricks_7.py	15	CODE
LOW	objectdetection-tricks/tricks_7.py	16	CODE
LOW	objectdetection-tricks/tricks_7.py	17	CODE
LOW	objectdetection-tricks/tricks_7.py	18	CODE
LOW	objectdetection-tricks/tricks_7.py	19	CODE
LOW	objectdetection-tricks/tricks_7.py	21	CODE
LOW	objectdetection-tricks/tricks_7.py	22	CODE
LOW	objectdetection-tricks/tricks_7.py	23	CODE
LOW	objectdetection-tricks/tricks_9.py	1	CODE
LOW	objectdetection-tricks/tricks_9.py	1	CODE
LOW	objectdetection-tricks/tricks_9.py	3	CODE
LOW	objectdetection-tricks/tricks_8.py	4	CODE
LOW	objectdetection-tricks/tricks_8.py	5	CODE
LOW	objectdetection-tricks/tricks_8.py	7	CODE
LOW	objectdetection-tricks/tricks_8.py	9	CODE
LOW	objectdetection-tricks/tricks_8.py	10	CODE
LOW	objectdetection-tricks/tricks_8.py	11	CODE
LOW	objectdetection-tricks/tricks_8.py	12	CODE
LOW	objectdetection-tricks/tricks_8.py	15	CODE
LOW	objectdetection-tricks/tricks_8.py	16	CODE
LOW	objectdetection-tricks/tricks_8.py	17	CODE
LOW	objectdetection-tricks/tricks_8.py	18	CODE
LOW	objectdetection-tricks/tricks_8.py	19	CODE
LOW	objectdetection-tricks/tricks_8.py	21	CODE
LOW	objectdetection-tricks/tricks_8.py	22	CODE
LOW	objectdetection-tricks/tricks_8.py	23	CODE
LOW	objectdetection-tricks/tricks_8.py	24	CODE
LOW	objectdetection-tricks/tricks_8.py	27	CODE
LOW	objectdetection-tricks/tricks_8.py	28	CODE
LOW	yolo-improve/yolov8-track.py	7	CODE
LOW	yolo-improve/yolov8-track.py	7	CODE
LOW	yolo-improve/yolov8-track.py	7	CODE
LOW	yolo-improve/yolov8-track.py	7	CODE
LOW	yolo-improve/yolov8-track.py	7	CODE
LOW	yolo-improve/yolov8-objectcount.py	4	CODE
LOW	yolo-improve/yolov8-erf.py	4	CODE
LOW	yolo-improve/yolov8-erf.py	4	CODE
LOW	yolo-improve/yolov8-erf.py	4	CODE
LOW	yolo-improve/yolov8-erf.py	4	CODE
LOW	yolo-improve/yolov8-erf.py	8	CODE
LOW	yolo-improve/yolov8-erf.py	9	CODE
LOW	yolo-improve/yolov7-iou.py	1	CODE
LOW	yolo-improve/iou.py	1	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	7	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	8	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	9	CODE
138 more matches not shown…

Cross-File Repetition23 hits · 115 pts

Severity	File	Snippet	Context
HIGH	objectdetection-tricks/tricks_9.py	repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r	STRING
HIGH	yolo-improve/yolov7-RepNCSPELAN.py	repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r	STRING
HIGH	yolo-improve/yolov5-RepNCSPELAN.py	repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r	STRING
HIGH	yolo-improve/yolov5-GOLDYOLO/common.py	repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r	STRING
HIGH	yolo-improve/yolov5-GFPN/extra_modules.py	repconv is a basic rep-style block, including training and deploy status code is based on https://github.com/dingxiaoh/r	STRING
HIGH	yolo-improve/yolov5-EVC.py	implementation of mlp with 1*1 convolutions. input: tensor with shape [b, c, h, w]	STRING
HIGH	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	implementation of mlp with 1*1 convolutions. input: tensor with shape [b, c, h, w]	STRING
HIGH	yolo-improve/yolov5-backbone/PoolFormer/poolformer.py	implementation of mlp with 1*1 convolutions. input: tensor with shape [b, c, h, w]	STRING
HIGH	yolo-improve/ultralytics-yolo/heatmap.py	class for extracting activations and registering gradients from targetted intermediate layers	STRING
HIGH	yolo-gradcam/yolov8_heatmap.py	class for extracting activations and registering gradients from targetted intermediate layers	STRING
HIGH	yolo-gradcam/yolov5_heatmap.py	class for extracting activations and registering gradients from targetted intermediate layers	STRING
HIGH	yolo-gradcam/yolov11_heatmap.py	class for extracting activations and registering gradients from targetted intermediate layers	STRING
HIGH	yolo-gradcam/yolov7_heatmap.py	class for extracting activations and registering gradients from targetted intermediate layers	STRING
HIGH	yolo-gradcam/yolov9_heatmap.py	class for extracting activations and registering gradients from targetted intermediate layers	STRING
HIGH	yolo-improve/ultralytics-yolo/heatmap.py	normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes.	STRING
HIGH	yolo-gradcam/yolov8_heatmap.py	normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes.	STRING
HIGH	yolo-gradcam/yolov5_heatmap.py	normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes.	STRING
HIGH	yolo-gradcam/yolov11_heatmap.py	normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes.	STRING
HIGH	yolo-gradcam/yolov7_heatmap.py	normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes.	STRING
HIGH	yolo-gradcam/yolov9_heatmap.py	normalize the cam to be in the range [0, 1] inside every bounding boxes, and zero outside of the bounding boxes.	STRING
HIGH	yolo-improve/yolov5-backbone/RepViT/repvit.py	this function is taken from the original tf repo. it ensures that all layers have a channel number that is divisible by	STRING
HIGH	…o-improve/yolov5-backbone/ODConvFuse/od_mobilenetv2.py	this function is taken from the original tf repo. it ensures that all layers have a channel number that is divisible by	STRING
HIGH	yolo-improve/yolov5-backbone/ODConv/od_mobilenetv2.py	this function is taken from the original tf repo. it ensures that all layers have a channel number that is divisible by	STRING

AI Structural Patterns98 hits · 97 pts

Severity	File	Line	Context
LOW	objectdetection-tricks/tricks_6.py	6	CODE
LOW	objectdetection-tricks/tricks_2.py	97	CODE
LOW	objectdetection-tricks/tricks_9.py	169	CODE
LOW	yolo-improve/yolov7-DSConv.py	6	CODE
LOW	yolo-improve/yolov7-iou.py	37	CODE
LOW	yolo-improve/yolov5-res2block.py	56	CODE
LOW	yolo-improve/yolov5-DSConv.py	6	CODE
LOW	yolo-improve/yolov5-DBB.py	70	CODE
LOW	yolo-improve/yolov7-DBB.py	70	CODE
LOW	yolo-improve/iou.py	38	CODE
LOW	yolo-improve/yolov7-odconv.py	128	CODE
LOW	yolo-improve/yolov7-odconv.py	136	CODE
LOW	yolo-improve/yolov5-GOLDYOLO/common.py	311	CODE
LOW	yolo-improve/yolov5-GOLDYOLO/common.py	17	CODE
LOW	yolo-improve/yolov5-GOLDYOLO/common.py	193	CODE
LOW	yolo-improve/yolov5-GOLDYOLO/common.py	261	CODE
LOW	yolo-improve/yolov5-GOLDYOLO/common.py	399	CODE
LOW	yolo-improve/yolov5-GFPN/extra_modules.py	24	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/dcnv3.py	51	CODE
LOW	yolo-improve/yolov5-AUX/val.py	99	CODE
LOW	yolo-improve/yolov5-AUX/export.py	311	CODE
LOW	yolo-improve/yolov5-AUX/export.py	510	CODE
LOW	yolo-improve/yolov5-AUX/detect.py	54	CODE
LOW	yolo-improve/yolov5-AUX/benchmarks.py	52	CODE
LOW	yolo-improve/yolov5-AUX/benchmarks.py	114	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	103	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	439	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	882	CODE
LOW	yolo-improve/yolov5-AUX/utils/augmentations.py	144	CODE
LOW	yolo-improve/yolov5-AUX/utils/augmentations.py	305	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/dataloaders.py	23	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/dataloaders.py	84	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/augmentations.py	25	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	352	CODE
LOW	yolo-improve/yolov5-backbone/EMO/emo.py	62	CODE
LOW	yolo-improve/yolov5-backbone/EMO/emo.py	109	CODE
LOW	yolo-improve/yolov5-backbone/EMO/emo.py	190	CODE
LOW	yolo-improve/yolov5-backbone/NextViT/NextViT.py	87	CODE
LOW	yolo-improve/yolov5-backbone/NextViT/NextViT.py	254	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	453	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	161	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	290	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	294	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	394	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	490	CODE
LOW	yolo-improve/yolov5-backbone/PoolFormer/poolformer.py	194	CODE
LOW	yolo-improve/yolov5-backbone/PoolFormer/poolformer.py	156	CODE
LOW	yolo-improve/yolov5-backbone/PoolFormer/poolformer.py	236	CODE
LOW	yolo-improve/yolov5-backbone/LSKNet/lsknet.py	118	CODE
LOW	yolo-improve/yolov5-backbone/ODConvFuse/odconv.py	167	CODE
LOW	yolo-improve/yolov5-backbone/ODConvFuse/odconv.py	175	CODE
LOW	yolo-improve/yolov5-backbone/ODConvFuse/od_resnet.py	47	CODE
LOW	yolo-improve/yolov5-backbone/ODConvFuse/od_resnet.py	84	CODE
LOW	…o-improve/yolov5-backbone/ODConvFuse/od_mobilenetv2.py	120	CODE
LOW	yolo-improve/yolov5-backbone/VanillaNet/VanillaNet.py	122	CODE
LOW	yolo-improve/yolov5-backbone/FocalNet/FocalNet.py	154	CODE
LOW	yolo-improve/yolov5-backbone/FocalNet/FocalNet.py	248	CODE
LOW	yolo-improve/yolov5-backbone/FocalNet/FocalNet.py	400	CODE
LOW	…ove/yolov5-backbone/SwinTransformer/SwinTransformer.py	171	CODE
LOW	…ove/yolov5-backbone/SwinTransformer/SwinTransformer.py	317	CODE
38 more matches not shown…

Deep Nesting95 hits · 91 pts

Severity	File	Line	Context
LOW	mmdet-course/yolo2coco.py	44	CODE
LOW	damo-yolo/voc2coco.py	10	CODE
LOW	damo-yolo/voc2coco.py	44	CODE
LOW	objectdetection-tricks/tricks_15.py	84	CODE
LOW	objectdetection-tricks/tricks_5.py	27	CODE
LOW	objectdetection-tricks/tricks_9.py	211	CODE
LOW	yolo-improve/yolov5-aLRPLoss.py	79	CODE
LOW	yolo-improve/yolov7-DecoupledHead.py	58	CODE
LOW	yolo-improve/yolov7-iou.py	37	CODE
LOW	yolo-improve/yolov5-softnms.py	1	CODE
LOW	yolo-improve/iou.py	38	CODE
LOW	yolo-improve/yolov7-softnms.py	1	CODE
LOW	yolo-improve/yolov5-GFPN/extra_modules.py	171	CODE
LOW	yolo-improve/yolov5-AUX/val.py	99	CODE
LOW	yolo-improve/yolov5-AUX/val.py	372	CODE
LOW	yolo-improve/yolov5-AUX/train.py	70	CODE
LOW	yolo-improve/yolov5-AUX/train.py	482	CODE
LOW	yolo-improve/yolov5-AUX/hubconf.py	16	CODE
LOW	yolo-improve/yolov5-AUX/detect.py	54	CODE
LOW	yolo-improve/yolov5-AUX/utils/metrics.py	222	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	930	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	990	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	241	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	439	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	750	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	808	CODE
LOW	yolo-improve/yolov5-AUX/utils/downloads.py	84	CODE
LOW	yolo-improve/yolov5-AUX/utils/plots.py	230	CODE
LOW	yolo-improve/yolov5-AUX/utils/plots.py	514	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	66	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	151	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	212	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	318	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	461	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	499	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	621	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	623	CODE
LOW	yolo-improve/yolov5-AUX/utils/augmentations.py	305	CODE
LOW	…rove/yolov5-AUX/utils/loggers/clearml/clearml_utils.py	133	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/dataloaders.py	208	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/loss.py	44	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/plots.py	17	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/plots.py	111	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/general.py	147	CODE
LOW	yolo-improve/yolov5-AUX/models/tf.py	381	CODE
LOW	yolo-improve/yolov5-AUX/models/common.py	318	CODE
LOW	yolo-improve/yolov5-AUX/models/common.py	506	CODE
LOW	yolo-improve/yolov5-AUX/models/common.py	658	CODE
LOW	yolo-improve/yolov5-AUX/models/common.py	741	CODE
LOW	yolo-improve/yolov5-AUX/models/yolo.py	304	CODE
LOW	yolo-improve/yolov9-backbone/yolo.py	1	CODE
LOW	yolo-improve/yolov9-backbone/yolo.py	30	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	141	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	175	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	298	CODE
LOW	yolo-improve/yolov5-backbone/yolo.py	1	CODE
LOW	yolo-improve/yolov5-backbone/yolo.py	84	CODE
LOW	yolo-improve/yolov5-backbone/NextViT/NextViT.py	254	CODE
LOW	yolo-improve/yolov5-backbone/NextViT/NextViT.py	310	CODE
LOW	yolo-improve/yolov5-backbone/MobileNetV4/mobilenetv4.py	319	CODE
35 more matches not shown…

Decorative Section Separators20 hits · 66 pts

Severity	File	Line	Snippet	Context
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/make.sh	2	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/make.sh	6	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	5	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/setup.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/setup.py	5	# --------------------------------------------------------	COMMENT
MEDIUM	…o-improve/yolov5-DCNV3/ops_dcnv3/functions/__init__.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	…o-improve/yolov5-DCNV3/ops_dcnv3/functions/__init__.py	5	# --------------------------------------------------------	COMMENT
MEDIUM	…improve/yolov5-DCNV3/ops_dcnv3/functions/dcnv3_func.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	…improve/yolov5-DCNV3/ops_dcnv3/functions/dcnv3_func.py	5	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/__init__.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/__init__.py	5	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/dcnv3.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/dcnv3.py	5	# --------------------------------------------------------	COMMENT
MEDIUM⚡	yolo-improve/yolov5-backbone/FocalNet/FocalNet.py	1	# --------------------------------------------------------	COMMENT
MEDIUM⚡	yolo-improve/yolov5-backbone/FocalNet/FocalNet.py	6	# --------------------------------------------------------	COMMENT
MEDIUM⚡	…ove/yolov5-backbone/SwinTransformer/SwinTransformer.py	1	# --------------------------------------------------------	COMMENT
MEDIUM⚡	…ove/yolov5-backbone/SwinTransformer/SwinTransformer.py	6	# --------------------------------------------------------	COMMENT
MEDIUM	…/yolov5-backbone/CVPR2023-EfficientViT/EfficientViT.py	1	# --------------------------------------------------------	COMMENT
MEDIUM	…/yolov5-backbone/CVPR2023-EfficientViT/EfficientViT.py	5	# --------------------------------------------------------	COMMENT

Excessive Try-Catch Wrapping50 hits · 54 pts

Severity	File	Line	Snippet	Context
LOW	damo-yolo/voc2coco.py	25	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/val.py	326	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/export.py	109	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/export.py	183	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/export.py	254	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/export.py	326	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/hubconf.py	59	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/hubconf.py	75	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/benchmarks.py	91	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/benchmarks.py	133	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/autobatch.py	55	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	482	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	492	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	640	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	1036	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	1065	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	1105	except Exception as e: # use OpenCV	CODE
LOW	yolo-improve/yolov5-AUX/utils/downloads.py	70	except Exception as e: # url2	CODE
LOW⚡	yolo-improve/yolov5-AUX/utils/downloads.py	112	except Exception:	CODE
LOW⚡	yolo-improve/yolov5-AUX/utils/downloads.py	115	except Exception:	CODE
LOW⚡	yolo-improve/yolov5-AUX/utils/downloads.py	118	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/plots.py	61	except Exception: # download if missing	CODE
LOW	yolo-improve/yolov5-AUX/utils/plots.py	507	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/plots.py	539	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/autoanchor.py	136	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	104	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	174	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	185	except Exception: # no backward method	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	195	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	290	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	357	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	315	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	413	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	439	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	587	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/general.py	1123	except Exception:	CODE
MEDIUM	yolo-improve/yolov5-AUX/utils/general.py	1119	def imwrite(path, im):	CODE
LOW	yolo-improve/yolov5-AUX/utils/augmentations.py	45	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/augmentations.py	343	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/loggers/__init__.py	113	except Exception:	CODE
LOW	yolo-improve/yolov5-AUX/utils/loggers/__init__.py	392	except Exception as e:	CODE
LOW	…-improve/yolov5-AUX/utils/loggers/comet/comet_utils.py	61	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/plots.py	139	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/models/yolo.py	392	except Exception as e:	CODE
MEDIUM	yolo-improve/yolov5-AUX/models/yolo.py	393	print(f'Error in {cfg}: {e}')	CODE
LOW	yolo-improve/yolov5-AUX/data/Objects365.yaml	437	except Exception as e:	CODE
LOW	yolo-improve/yolov5-AUX/data/xView.yaml	132	except Exception as e:	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	376	except Exception:	CODE
LOW	yolo-improve/ultralytics-yolo/yolo2coco.py	100	except Exception as e:	CODE
LOW	yolo/dataset/xml2txt.py	67	except Exception as e:	CODE

Hyper-Verbose Identifiers37 hits · 37 pts

Severity	File	Line	Snippet	Context
LOW	mmdet-course/yolo2coco.py	20	def train_test_val_split_random(img_paths,ratio_train=0.8,ratio_test=0.1,ratio_val=0.1):	CODE
LOW	mmdet-course/yolo2coco.py	29	def train_test_val_split_by_files(img_paths, root_dir):	CODE
LOW	objectdetection-tricks/tricks_15.py	57	def get_images_and_labels_path(images_folder_path, labels_folder_path):	CODE
LOW	objectdetection-tricks/tricks_9.py	190	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov7-RepNCSPELAN.py	28	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov5-CCFM.py	32	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov5-RepNCSPELAN.py	28	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov5-DBB.py	184	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov7-DBB.py	178	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov5-GOLDYOLO/common.py	78	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov5-GFPN/extra_modules.py	91	def get_equivalent_kernel_bias(self):	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	34	def check_forward_equal_with_pytorch_double():	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	64	def check_forward_equal_with_pytorch_float():	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	93	def check_backward_equal_with_pytorch_double(channels=4, grad_input=True, grad_offset=True, grad_mask=True):	CODE
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/test.py	156	def check_backward_equal_with_pytorch_float(channels=4, grad_input=True, grad_offset=True, grad_mask=True):	CODE
LOW	yolo-improve/yolov5-AUX/utils/triton.py	32	def create_input_placeholders() -> typing.List[InferInput]:	CODE
LOW	yolo-improve/yolov5-AUX/utils/triton.py	44	def create_input_placeholders() -> typing.List[InferInput]:	CODE
LOW	yolo-improve/yolov5-AUX/utils/dataloaders.py	1197	def create_classification_dataloader(path,	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	66	def reshape_classifier_output(model, n=1000):	CODE
LOW	yolo-improve/yolov5-AUX/utils/torch_utils.py	89	def torch_distributed_zero_first(local_rank: int):	CODE
LOW	yolo-improve/yolov5-AUX/utils/loggers/__init__.py	151	def on_pretrain_routine_start(self):	CODE
LOW	yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py	348	def download_dataset_artifact(self, artifact_path):	CODE
LOW	…-improve/yolov5-AUX/utils/loggers/comet/comet_utils.py	19	def download_model_checkpoint(opt, experiment):	CODE
LOW	yolo-improve/yolov5-AUX/utils/segment/metrics.py	17	def ap_per_class_box_and_mask(	CODE
LOW	yolo-improve/yolov5-AUX/models/tf.py	554	def representative_dataset_gen(dataset, ncalib=100):	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	21	def patch_pose_classes_for_gradcam():	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	25	def pose_kpts_decode_no_inplace(self, kpts: torch.Tensor) -> torch.Tensor:	CODE
LOW	yolo-improve/ultralytics-yolo/heatmap.py	360	def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam):	CODE
LOW	yolo-improve/yolov5-backbone/RIFormer/RIFormer.py	185	def get_equivalent_scale_bias(self):	CODE
LOW	yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py	121	def convert_dilated_to_nondilated(kernel, dilate_rate):	CODE
LOW	yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py	135	def merge_dilated_into_large_kernel(large_kernel, dilated_kernel, dilated_r):	CODE
LOW	cv-attention/Biformer.py	411	def regional_routing_attention_torch(	CODE
LOW	yolo-gradcam/yolov8_heatmap.py	281	def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam):	CODE
LOW	yolo-gradcam/yolov5_heatmap.py	122	def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam):	CODE
LOW	yolo-gradcam/yolov11_heatmap.py	281	def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam):	CODE
LOW	yolo-gradcam/yolov7_heatmap.py	127	def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam):	CODE
LOW	yolo-gradcam/yolov9_heatmap.py	122	def renormalize_cam_in_bounding_boxes(self, boxes, image_float_np, grayscale_cam):	CODE

Modern Structural Boilerplate24 hits · 25 pts

Severity	File	Line	Snippet	Context
LOW	yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py	8	logger = logging.getLogger(__name__)	CODE
LOW	…-improve/yolov5-AUX/utils/loggers/comet/comet_utils.py	12	logger = logging.getLogger(__name__)	CODE
LOW	yolo-improve/yolov5-AUX/utils/loggers/comet/hpo.py	10	logger = logging.getLogger(__name__)	CODE
LOW	yolo-improve/yolov5-backbone/EMO/emo.py	10	__all__ = ['EMO_1M', 'EMO_2M', 'EMO_5M', 'EMO_6M']	CODE
LOW	yolo-improve/yolov5-backbone/NextViT/NextViT.py	10	__all__ = ['nextvit_small', 'nextvit_base', 'nextvit_large']	CODE
LOW	yolo-improve/yolov5-backbone/ConvNextV2/convnextv2.py	14	__all__ = ['convnextv2_atto', 'convnextv2_femto', 'convnextv2_pico', 'convnextv2_nano', 'convnextv2_tiny', 'convnextv2_b	CODE
LOW	…yolov5-backbone/EfficientFormerV2/EfficientFormerV2.py	15	__all__ = ['efficientformerv2_s0', 'efficientformerv2_s1', 'efficientformerv2_s2', 'efficientformerv2_l']	CODE
LOW	yolo-improve/yolov5-backbone/RepViT/repvit.py	6	__all__ = ['repvit_m0_9', 'repvit_m1_0', 'repvit_m1_1', 'repvit_m1_5', 'repvit_m2_3']	CODE
LOW	yolo-improve/yolov5-backbone/MobileNetV4/mobilenetv4.py	6	__all__ = ['MobileNetV4ConvSmall', 'MobileNetV4ConvMedium', 'MobileNetV4ConvLarge', 'MobileNetV4HybridMedium', 'MobileNe	CODE
LOW	yolo-improve/yolov5-backbone/PoolFormer/poolformer.py	27	__all__ = ['poolformer_s12', 'poolformer_s24', 'poolformer_s36', 'poolformer_m48', 'poolformer_m36']	CODE
LOW	yolo-improve/yolov5-backbone/ODConvFuse/od_resnet.py	6	__all__ = ['od_resnet18', 'od_resnet34', 'od_resnet50', 'od_resnet101']	CODE
LOW	…o-improve/yolov5-backbone/ODConvFuse/od_mobilenetv2.py	7	__all__ = ['od_mobilenetv2_050', 'od_mobilenetv2_075', 'od_mobilenetv2_100']	CODE
LOW	…lo-improve/yolov5-backbone/CVPR2024-StarNet/starnet.py	16	__all__ = ['starnet_s050', 'starnet_s100', 'starnet_s150', 'starnet_s1', 'starnet_s2', 'starnet_s3', 'starnet_s4']	CODE
LOW	yolo-improve/yolov5-backbone/VanillaNet/VanillaNet.py	13	__all__ = ['vanillanet_5', 'vanillanet_6', 'vanillanet_7', 'vanillanet_8', 'vanillanet_9', 'vanillanet_10', 'vanillanet_	CODE
LOW⚡	yolo-improve/yolov5-backbone/FocalNet/FocalNet.py	15	__all__ = ['focalnet_tiny_srf', 'focalnet_tiny_lrf', 'focalnet_small_srf', 'focalnet_small_lrf', 'focalnet_base_srf', 'f	CODE
LOW⚡	…ove/yolov5-backbone/SwinTransformer/SwinTransformer.py	15	__all__ = ['SwinTransformer_Tiny']	CODE
LOW	yolo-improve/yolov5-backbone/fasternet/fasternet.py	13	__all__ = ['fasternet_t0', 'fasternet_t1', 'fasternet_t2', 'fasternet_s', 'fasternet_m', 'fasternet_l']	CODE
LOW	…improve/yolov5-backbone/inceptionnext/inceptionnext.py	17	__all__ = ['inceptionnext_tiny', 'inceptionnext_small', 'inceptionnext_base', 'inceptionnext_base_384']	CODE
LOW	yolo-improve/yolov5-backbone/RIFormer/RIFormer.py	9	__all__ = ['RIFormer']	CODE
LOW	…o-improve/yolov5-backbone/EfficientViT/efficientViT.py	8	__all__ = [	CODE
LOW	yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py	19	__all__ = ['unireplknet_a', 'unireplknet_f', 'unireplknet_p', 'unireplknet_n', 'unireplknet_t', 'unireplknet_s', 'unirep	CODE
LOW	…/yolov5-backbone/CVPR2023-EfficientViT/EfficientViT.py	17	__all__ = ['EfficientViT_M0', 'EfficientViT_M1', 'EfficientViT_M2', 'EfficientViT_M3', 'EfficientViT_M4', 'EfficientViT_	CODE
LOW	yolo-improve/yolov5-backbone/ODConv/od_resnet.py	6	__all__ = ['od_resnet18', 'od_resnet34', 'od_resnet50', 'od_resnet101']	CODE
LOW	yolo-improve/yolov5-backbone/ODConv/od_mobilenetv2.py	7	__all__ = ['od_mobilenetv2_050', 'od_mobilenetv2_075', 'od_mobilenetv2_100']	CODE

Over-Commented Block19 hits · 19 pts

Severity	File	Line	Snippet	Context
LOW	mmdet-course/config/yolox_tiny_8xb8-300e_visdrone.py	21	# Example to use different file client	COMMENT
LOW	damo-yolo/Annotations/ReadMe.md	1	# 存放VOC标注格式的文件夹	COMMENT
LOW	damo-yolo/JPEGImages/ReadMe.md	1	# 存放图像的文件夹	COMMENT
LOW	yolo-improve/yolov8-track.py	41	fp16=False,	COMMENT
LOW	yolo-improve/yolov8-objectcount.py	41	# video_output = cv2.VideoWriter(f'{output_dir}/{video_path}', fourcc, fps, size)	COMMENT
LOW	yolo-improve/yolov7-DecoupledHead.py	181	# print('Strides: %s' % m.stride.tolist())	COMMENT
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/make.sh	1	#!/usr/bin/env bash	COMMENT
LOW	…o-improve/yolov5-DCNV3/ops_dcnv3/functions/__init__.py	1	# --------------------------------------------------------	COMMENT
LOW	yolo-improve/yolov5-DCNV3/ops_dcnv3/modules/__init__.py	1	# --------------------------------------------------------	COMMENT
LOW	yolo-improve/yolov5-AUX/utils/autoanchor.py	141		COMMENT
LOW	yolo-improve/yolov5-AUX/models/common.py	321	# TorchScript: *.torchscript	COMMENT
LOW	yolo-improve/yolov9-backbone/yolov9-c-custom.yaml	1	# YOLOv9	COMMENT
LOW	yolo-improve/yolov5-backbone/PoolFormer/poolformer.py	1	# Copyright 2021 Garena Online Private Limited	COMMENT
LOW	yolo-improve/yolov5-backbone/UniRepLKNet/unireplknet.py	61	# - it has been installed (follow https://github.com/AILab-CVC/UniRepLKNet), and	COMMENT
LOW	data-offline-aug/segment_data_aug.py	41	A.RandomBrightnessContrast(p=0.1), # Randomly change brightness and contrast of the input image.	COMMENT
LOW	data-offline-aug/object_detection_data_aug.py	41	A.RandomSunFlare(p=0.1), # Simulates Sun Flare for the image	COMMENT
LOW	yolo/dataset/VOCdevkit/txt/ReadMe.md	1	# 存放YOLO标注格式的文件夹	COMMENT
LOW	yolo/dataset/VOCdevkit/Annotations/ReadMe.md	1	# 存放VOC标注格式的文件夹	COMMENT
LOW	yolo/dataset/VOCdevkit/JPEGImages/ReadMe.md	1	# 存放图像的文件夹	COMMENT

Redundant / Tautological Comments11 hits · 16 pts

Severity	File	Line	Snippet	Context
LOW	yolo-improve/yolov5-AUX/val.py	281	# Print results	COMMENT
LOW	yolo-improve/yolov5-AUX/val.py	287	# Print results per class	COMMENT
LOW	yolo-improve/yolov5-AUX/detect.py	157	# Print results	COMMENT
LOW	yolo-improve/yolov5-AUX/detect.py	209	# Print results	COMMENT
LOW	yolo-improve/yolov5-AUX/benchmarks.py	99	# Print results	COMMENT
LOW	yolo-improve/yolov5-AUX/benchmarks.py	136	# Print results	COMMENT
LOW	yolo-improve/yolov5-AUX/utils/downloads.py	17	# Check if string is URL and check if URL exists	COMMENT
LOW	yolo-improve/yolov5-AUX/utils/general.py	430	# Check if environment supports image displays	COMMENT
LOW	yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py	157	# Check if running the Experiment with the Comet Optimizer	COMMENT
LOW	yolo-improve/yolov5-AUX/utils/loggers/comet/__init__.py	433	# Check if running Experiment with Comet Optimizer	COMMENT
LOW	…rove/yolov5-AUX/utils/loggers/clearml/clearml_utils.py	112	# Set data to data_dict because wandb will crash without this information and opt is the best way	COMMENT

Self-Referential Comments4 hits · 12 pts

Severity	File	Line	Snippet	Context
MEDIUM	yolo-improve/yolov5-AUX/utils/dataloaders.py	321	# Create a new video capture object	COMMENT
MEDIUM	yolo-improve/yolov5-AUX/utils/callbacks.py	15	# Define the available callbacks	COMMENT
MEDIUM	yolo-improve/yolov5-AUX/models/yolo.py	285	# Create a YOLOv5 classification model from a YOLOv5 detection model	COMMENT
MEDIUM	yolo-improve/yolov5-AUX/models/yolo.py	300	# Create a YOLOv5 classification model from a *.yaml file	COMMENT

AI Slop Vocabulary2 hits · 4 pts

Severity	File	Line	Snippet	Context
LOW	mmdet-course/config/yolox_tiny_8xb8-300e_visdrone.py	22	# Method 1: simply set the data root and let the file I/O module	COMMENT
MEDIUM	yolo-improve/yolov5-AUX/models/common.py	624	# YOLOv5 input-robust model wrapper for passing cv2/np/PIL/torch inputs. Includes preprocessing, inference and NMS	COMMENT

Example Usage Blocks2 hits · 3 pts

Severity	File	Line	Snippet	Context
LOW	yolo-improve/yolov5-AUX/utils/autobatch.py	23	# Usage:	COMMENT
LOW	yolo-improve/yolov5-AUX/models/common.py	319	# Usage:	COMMENT

Cross-Language Confusion1 hit · 2 pts

Severity	File	Line	Snippet	Context
HIGH	yolo-improve/yolov5-AUX/export.py	41	$ cd .. && git clone https://github.com/zldrobit/tfjs-yolov5-example.git && cd tfjs-yolov5-example	STRING

TODO Padding1 hit · 2 pts

Severity	File	Line	Snippet	Context
LOW	yolo-improve/yolov5-AUX/utils/augmentations.py	325	# TODO: implement AugMix, AutoAug & RandAug in albumentation	COMMENT

Analysis Overview

What These Metrics Mean

Score History

Severity Breakdown

Directory Score Breakdown

Pattern Findings