Repository Analysis

Zeyi-Lin/HivisionIDPhotos

⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。

5.8 Low AI signal View on GitHub

Analysis Overview

This report presents the forensic synthetic code analysis of Zeyi-Lin/HivisionIDPhotos, a Python project with 21,243 GitHub stars. SynthScan v2.0 examined 10,148 lines of code across 57 source files, recording 56 pattern matches distributed across 10 syntactic categories. The overall adjusted score of 5.8 places this repository in the Low AI signal band.

The scanner applied 160+ deterministic lexical heuristics, multi-line block detectors, abstract syntax tree depth profilers, and a cross-file Jaccard similarity matrix to construct a statistically normalised synthetic code estimate. All matches are individually weighted by severity coefficient and contextual multiplier before summation, and the resulting headline score is temporally discounted to account for the repository's development history relative to the commercial emergence of large language model coding tooling (November 2022 onward).

5.8
Adjusted Score
5.8
Raw Score
100%
Time Factor
2026-07-03
Last Push
21.2K
Stars
Python
Language
10.1K
Lines of Code
57
Files
56
Pattern Hits
2026-07-14
Scan Date
0.00
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

This chart maps the temporal evolution of the adjusted synthetic code score across successive scan runs. An upward trajectory indicates ongoing incorporation of AI-generated code or expanding LLM-assisted scaffolding; a stable or declining trajectory may reflect active human refactoring, code removal, or the adoption of stricter authorship policies. The dashed secondary line (right axis) independently tracks total raw pattern hit count, which can diverge from the normalised score when codebase size changes significantly between scans.

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 0MEDIUM 2LOW 54

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 56 distinct pattern matches across 10 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.

AI Structural Patterns11 hits · 11 pts
SeverityFileLineSnippetContext
LOWdeploy_api.py45CODE
LOWdeploy_api.py239CODE
LOWdeploy_api.py316CODE
LOWdemo/processor.py28CODE
LOWdemo/processor.py672CODE
LOWhivision/utils.py317CODE
LOWhivision/creator/__init__.py52CODE
LOWhivision/creator/context.py15CODE
LOWhivision/creator/tensor2numpy.py20CODE
LOWhivision/creator/tensor2numpy.py41CODE
LOWhivision/plugin/watermark.py25CODE
Unused Imports9 hits · 9 pts
SeverityFileLineSnippetContext
LOWhivision/__init__.py1CODE
LOWhivision/__init__.py1CODE
LOWhivision/__init__.py1CODE
LOWhivision/creator/human_matting.py385CODE
LOWhivision/creator/choose_handler.py1CODE
LOWhivision/creator/choose_handler.py2CODE
LOWhivision/creator/retinaface/__init__.py1CODE
LOWhivision/plugin/beauty/grind_skin.py3CODE
LOWhivision/plugin/beauty/__init__.py1CODE
Fake / Example Data6 hits · 8 pts
SeverityFileLineSnippetContext
LOWdemo/ui.py273 "placeholder"CODE
LOWdemo/ui.py498 placeholder=LOCALES["watermark_text"][language]["placeholder"],CODE
LOWdemo/locales.py359 "placeholder": "up to 20 characters",CODE
LOWdemo/locales.py364 "placeholder": "最多20个字符",CODE
LOWdemo/locales.py369 "placeholder": "最大20文字",CODE
LOWdemo/locales.py374 "placeholder": "최대 20자",CODE
Deep Nesting8 hits · 8 pts
SeverityFileLineSnippetContext
LOWdemo/ui.py22CODE
LOWdemo/processor.py243CODE
LOWdemo/processor.py533CODE
LOWhivision/utils.py35CODE
LOWhivision/utils.py97CODE
LOWhivision/creator/choose_handler.py15CODE
LOWhivision/creator/face_detector.py79CODE
LOWhivision/creator/retinaface/prior_box.py19CODE
Hyper-Verbose Identifiers10 hits · 7 pts
SeverityFileLineSnippetContext
LOWdemo/ui.py319 def update_watermark_text_visibility(choice, language):CODE
LOWdemo/processor.py323 def _handle_photo_generation_error(self, language):CODE
LOWhivision/utils.py319def add_background_with_image(input_image: np.ndarray, background_image: np.ndarray) -> np.ndarray:CODE
LOWhivision/creator/human_matting.py91def extract_human_modnet_photographic_portrait_matting(ctx: Context):STRING
LOWhivision/creator/human_matting.py119# def extract_human_birefnet_portrait(ctx: Context):STRING
LOWhivision/creator/human_matting.py127def extract_human_birefnet_lite(ctx: Context):STRING
LOWhivision/creator/human_matting.py228def get_modnet_matting_photographic_portrait_matting(STRING
LOWhivision/creator/human_matting.py354def get_birefnet_portrait_matting(input_image, checkpoint_path, ref_size=512):STRING
LOWhivision/creator/face_detector.py79def detect_face_face_plusplus(ctx: Context):STRING
LOWhivision/plugin/beauty/base_adjust.py9def adjust_brightness_contrast_sharpen_saturation(CODE
Self-Referential Comments2 hits · 6 pts
SeverityFileLineSnippetContext
MEDIUMhivision/utils.py63 # Create a BytesIO object to hold the image data in memoryCOMMENT
MEDIUMhivision/utils.py124 # Create a BytesIO object to hold the image data in memoryCOMMENT
Over-Commented Block4 hits · 4 pts
SeverityFileLineSnippetContext
LOWdemo/locales.py1# Copyright 2024 the LlamaFactory team.COMMENT
LOWhivision/plugin/beauty/thin_face.py161 # def localTranslationWarpNumpy(self, srcImg, startP: np.matrix, endP: np.matrix, radius: float):COMMENT
LOWhivision/plugin/beauty/thin_face.py181 # H, W, C = self.thinImage.shape # 获取图像的形状COMMENT
LOWhivision/plugin/beauty/thin_face.py301# input_image = cv2.imread("test_image/4.jpg", -1)COMMENT
Excessive Try-Catch Wrapping4 hits · 4 pts
SeverityFileLineSnippetContext
LOWdeploy_api.py272 except Exception as e:CODE
LOWdeploy_api.py305 except Exception as e:CODE
LOWhivision/creator/human_matting.py65 except Exception as e:STRING
LOWhivision/creator/retinaface/inference.py70 except Exception as e:CODE
Redundant / Tautological Comments1 hit · 2 pts
SeverityFileLineSnippetContext
LOWhivision/utils.py72 # Check if the image size is within the target sizeCOMMENT
Modern Structural Boilerplate1 hit · 1 pts
SeverityFileLineSnippetContext
LOWhivision/__init__.py4__all__ = ["IDCreator", "IDParams", "IDResult", "utils", "error"]CODE