juzi/graphify-out/2026-09-27/GRAPH_REPORT.md

Graph Report - juzi (2026-09-27)

Corpus Check

• 30 files · ~1,639,651 words
• Verdict: corpus is large enough that graph structure adds value.

Summary

• 872 nodes · 2061 edges · 61 communities (41 shown, 20 thin omitted)
• Extraction: 92% EXTRACTED · 8% INFERRED · 0% AMBIGUOUS · INFERRED: 166 edges (avg confidence: 0.52)
• Token cost: 0 input · 0 output

Graph Freshness

• Built from commit: 7d72d7dd
• Run git rev-parse HEAD and compare to check if the graph is stale.
• Run graphify update . after code changes (no API cost).

Community Hubs (Navigation)

• face-api.js
• n
• app.js
• skin-score.js
• NeuralNetwork
• .toBatchTensor
• getEnv
• FaceLandmarks
• disposeUnusedWeightTensors
• __awaiter
• .dispose
• AgeGenderNet
• server.js
• files
• extractAllFacesAndComputeResults
• .runAndExtendWithFaceDetection
• 巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范
• extractFaces
• 1'me 在线肌肤测试 H5
• head-pose.js
• build_fixtures.py
• .forwardInput
• .loadFromDisk
• facepp-skinanalyze（旷视皮肤分析专业版调用技能）
• 巨子测肤 · 1'me 语音播报内容设计文档 V1.0
• .predictAgeAndGender
• wi
• to_mp3
• initialize
• face-api.js 本地化依赖（h5/vendor/faceapi/）
• regression.js
• isValidNumber
• FaceMatcher
• build-fixture.py
• DetectSingleFaceLandmarksTask
• so
• tt
• TinyYolov2
• cn
• ComputeAllFaceDescriptorsTask
• ComputeSingleFaceDescriptorTask
• dr
• FaceLandmark68Net
• rescaleAndNormalize
• PredictAllAgeAndGenderWithFaceAlignmentTask
• PredictAllFaceExpressionsWithFaceAlignmentTask
• PredictSingleAgeAndGenderWithFaceAlignmentTask
• PredictSingleFaceExpressionsWithFaceAlignmentTask
• Yo
• call_skinanalyze_3view.sh
• Vc
• createSsdMobilenetv1
• FaceDetection
• ff
• ge
• sa
• po
• wn
• call_skinanalyze.sh

God Nodes (most connected - your core abstractions)

1. __awaiter() - 59 edges
2. __generator() - 59 edges
3. n() - 36 edges
4. t() - 33 edges
5. i() - 33 edges
6. r() - 32 edges
7. C() - 32 edges
8. toNetInput() - 27 edges
9. e() - 22 edges
10. f() - 20 edges

Surprising Connections (you probably didn't know these)

• detectFrame() --indirect_call--> d() [INFERRED] h5/js/app.js → h5/vendor/faceapi/face-api.js
• vizCompose() --indirect_call--> h() [INFERRED] h5/js/app.js → h5/vendor/faceapi/face-api.js
• vizCompose() --indirect_call--> rh() [INFERRED] h5/js/app.js → h5/vendor/faceapi/face-api.js
• vizCompose() --indirect_call--> w() [INFERRED] h5/js/app.js → h5/vendor/faceapi/face-api.js
• renderReport() --indirect_call--> t() [INFERRED] h5/js/app.js → h5/vendor/faceapi/face-api.js

Import Cycles

• None detected.

Communities (61 total, 20 thin omitted)

Community 0 - "face-api.js"

Cohesion: 0.02 Nodes (35): ca(), cd(), ce(), dn(), ee(), er(), et(), Ft() (+27 more)

Community 1 - "n"

Cohesion: 0.07 Nodes (90): a(), ae(), ao(), b(), ba(), be(), bf(), bi() (+82 more)

Community 2 - "app.js"

Cohesion: 0.08 Nodes (55): armNudge(), beginDetect(), bindBackdropClose(), cancelCountdown(), captureFromVideo(), cdTick(), closeOverlay(), detectFrame() (+47 more)

Community 3 - "skin-score.js"

Cohesion: 0.12 Nodes (43): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+35 more)

Community 4 - "NeuralNetwork"

Cohesion: 0.07 Nodes (26): createFaceRecognitionNet(), createMtcnn(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory(), extractorsFactory(), extractorsFactory$1() (+18 more)

Community 5 - ".toBatchTensor"

Cohesion: 0.08 Nodes (29): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+21 more)

Community 6 - "getEnv"

Cohesion: 0.09 Nodes (26): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions() (+18 more)

Community 7 - "FaceLandmarks"

Cohesion: 0.08 Nodes (11): extendWithFaceLandmarks(), FaceLandmark68NetBase(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions(), minBbox() (+3 more)

Community 8 - "disposeUnusedWeightTensors"

Cohesion: 0.09 Nodes (24): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+16 more)

Community 9 - "__awaiter"

Cohesion: 0.17 Nodes (10): __awaiter(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), loadWeightMap(), Mtcnn() (+2 more)

Community 10 - ".dispose"

Cohesion: 0.16 Nodes (13): computeReshapedDimensions(), extractBoundingBoxes(), iou(), isEven(), NetInput(), nonMaxSuppression(), nonMaxSuppression$1(), pyramidDown() (+5 more)

Community 11 - "AgeGenderNet"

Cohesion: 0.12 Nodes (4): AgeGenderNet(), FaceExpressionNet(), FaceLandmark68TinyNet(), FaceProcessor()

Community 12 - "server.js"

Cohesion: 0.14 Nodes (16): callFacepp(), CRED, DATA_DIR, ERR_MSG, fs, handleAnalyze(), http, isUsableB64() (+8 more)

Community 13 - "files"

Cohesion: 0.12 Nodes (15): files, analyze-fail, analyzing, countdown-321, hint-far, hint-front, hint-hold, hint-near (+7 more)

Community 14 - "extractAllFacesAndComputeResults"

Cohesion: 0.16 Nodes (7): extendWithFaceDescriptor(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), FaceRecognitionNet(), PredictAllFaceExpressionsTask(), PredictSingleFaceExpressionsTask()

Community 15 - ".runAndExtendWithFaceDetection"

Cohesion: 0.23 Nodes (6): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), DetectAllFaceLandmarksTask(), detectAllFaces(), DetectSingleFaceTask()

Community 16 - "巨子测肤 · 1'me 在线肌肤测试 — UI 设计规范"

Cohesion: 0.15 Nodes (12): 1. 基准与尺寸换算, 2. 色彩规范, 3. 字体规范, 4. 组件切图(assets/svg/), 5. 图片素材(assets/images/,共 15 张), 6. 页面清单(design/ 下有整屏 PNG 预览), 7. 目录结构, 8. 还原建议 (+4 more)

Community 17 - "extractFaces"

Cohesion: 0.22 Nodes (6): Box(), extractFaces(), extractFaceTensors(), imageTensorToCanvas(), isTensor3D(), isTensor4D()

Community 18 - "1'me 在线肌肤测试 H5"

Cohesion: 0.18 Nodes (10): 1'me 在线肌肤测试 H5, Windows 本机部署(提测用), 密钥配置, 已知占位清单, 技术说明, 拍照交互(引导式自动三连拍), 本地运行, 检测流程与评分渲染 (+2 more)

Community 19 - "head-pose.js"

Cohesion: 0.33 Nodes (8): assertPoints(), check(), clamp(), dist(), estimate(), makeFrontal(), makeSide(), midpoint()

Community 20 - "build_fixtures.py"

Cohesion: 0.40 Nodes (9): build_case1(), build_case2(), build_truth(), col(), dump(), main(), parse_value(), set_path() (+1 more)

Community 21 - ".forwardInput"

Cohesion: 0.22 Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)

Community 22 - ".loadFromDisk"

Cohesion: 0.22 Nodes (4): ComposableTask(), getModelUris(), Gf(), TinyFaceDetector()

Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"

Cohesion: 0.20 Nodes (9): 1. 凭据（统一管理）, 2. 标准调用模板（全可选参数，每次都带）, 2b. 三视图调用模板（正脸 + 双侧脸 → 下颌线）, 3.1 本轮踩过的坑（务必避复）, 3. 三维度 × 6 分类 P/S 计算（2026-09-26 生效，取代旧六维）, 4. 产品分组公式, 5. Excel 报告铁律（必须遵守）, 6. 其他 Agent 调用约定 (+1 more)

Community 24 - "巨子测肤 · 1'me 语音播报内容设计文档 V1.0"

Cohesion: 0.22 Nodes (8): 1. 音频格式约定(已定), 2. 播报清单(14 条), 3. 播放策略(前端已实现侧约定), 4. 生成验收, A. 步骤引导(进入每个拍照步骤时播,与屏幕步骤文案一致), B. 姿态提示(实时检测不通过时播,同一提示 4 秒内不重复), C. 拍摄与流程, 巨子测肤 · 1'me 语音播报内容设计文档 V1.0

Community 25 - ".predictAgeAndGender"

Cohesion: 0.28 Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()

Community 26 - "wi"

Cohesion: 0.28 Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 more)

Community 27 - "to_mp3"

Cohesion: 0.32 Nodes (7): ndarray, Path, main(), 裁掉过长首尾静音，保留 ≤150ms 边沿，避免提示显迟钝。, 响度归一 −16 LUFS + 转 MP3 48k CBR mono 22050Hz。, to_mp3(), trim_edges()

Community 28 - "initialize"

Cohesion: 0.29 Nodes (7): createBrowserEnv(), createFileSystem(), createNodejsEnv(), initialize(), isBrowser(), monkeyPatch(), setEnv()

Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"

Cohesion: 0.29 Nodes (6): face-api.js 本地化依赖（h5/vendor/faceapi/）, 为什么本地化, 文件清单与体积, 来源与版本, 用法, 许可证

Community 30 - "regression.js"

Cohesion: 0.60 Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()

Community 31 - "isValidNumber"

Cohesion: 0.33 Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()

Community 33 - "build-fixture.py"

Cohesion: 0.60 Nodes (4): main(), 递归缩放 result 内全部坐标:{left,top,width,height} 矩形与 {x,y} 点,与原数据同为整数。, scale_coords(), to_data_url()

Community 36 - "so"

Cohesion: 0.50 Nodes (4): Do(), io(), so(), To()

Community 37 - "tt"

Cohesion: 0.50 Nodes (4): kn(), tt(), wo(), z()

Community 39 - "cn"

Cohesion: 0.67 Nodes (3): cn(), en(), yn()

Community 42 - "dr"

Cohesion: 0.67 Nodes (3): dr(), na(), ta()

Community 44 - "rescaleAndNormalize"

Cohesion: 0.67 Nodes (3): getSizesForScale(), normalize$1(), rescaleAndNormalize()

Community 49 - "Yo"

Cohesion: 0.67 Nodes (3): qo(), Xo(), Yo()

Knowledge Gaps

• 59 isolated node(s): step1-front, step2-rightface, step3-leftface, hint-noface, hint-near (+54 more) These have ≤1 connection - possible missing edges or undocumented components.
• 20 thin communities (<3 nodes) omitted from report — run graphify query to explore isolated nodes.

Suggested Questions

Questions this graph is uniquely positioned to answer:

• Why does val() connect skin-score.js to extractFaces? High betweenness centrality (0.085) - this node is a cross-community bridge.
• Why does Box() connect extractFaces to face-api.js, .dispose, isValidNumber, FaceLandmarks? High betweenness centrality (0.059) - this node is a cross-community bridge.
• Why does vizCompose() connect app.js to n? High betweenness centrality (0.046) - this node is a cross-community bridge.
• Are the 23 inferred relationships involving n() (e.g. with ae() and be()) actually correct? n() has 23 INFERRED edges - model-reasoned connections that need verification.
• Are the 7 inferred relationships involving t() (e.g. with renderReport() and e()) actually correct? t() has 7 INFERRED edges - model-reasoned connections that need verification.
• Are the 9 inferred relationships involving i() (e.g. with da() and f()) actually correct? i() has 9 INFERRED edges - model-reasoned connections that need verification.
• What connects step1-front, step2-rightface, step3-leftface to the rest of the system? 59 weakly-connected nodes found - possible documentation gaps or missing edges.