# Graph Report - juzi (2026-09-28) ## Corpus Check - 31 files · ~1,845,638 words - Verdict: corpus is large enough that graph structure adds value. ## Summary - 900 nodes · 2117 edges · 67 communities (46 shown, 21 thin omitted) - Extraction: 92% EXTRACTED · 8% INFERRED · 0% AMBIGUOUS · INFERRED: 168 edges (avg confidence: 0.52) - Token cost: 0 input · 0 output ## Graph Freshness - Built from commit: `4e3d915b` - 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 - isTensor - .toBatchTensor - getEnv - FaceLandmarks - disposeUnusedWeightTensors - __awaiter - extractWeightEntryFactory - FaceProcessor - 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 - extractParamsFromWeigthMap$1 - wi - gen_voice.py - initialize - face-api.js 本地化依赖(h5/vendor/faceapi/) - regression.js - isValidNumber - FaceMatcher - build-fixture.py - DetectSingleFaceLandmarksTask - so - tt - TinyYolov2 - cn - .computeFaceDescriptor - SsdMobilenetv1 - dr - FaceLandmark68Net - rescaleAndNormalize - PredictAllAgeAndGenderWithFaceAlignmentTask - PredictAllFaceExpressionsWithFaceAlignmentTask - PredictSingleAgeAndGenderWithFaceAlignmentTask - PredictSingleFaceExpressionsWithFaceAlignmentTask - Yo - call_skinanalyze_3view.sh - TinyXception - Vc - FaceDetection - ff - ge - sa - po - .dispose - call_skinanalyze.sh - .extractWeights - NeuralNetwork - e2e-browser.mjs - AgeGenderNet - FaceExpressionNet - PredictSingleFaceExpressionsTask ## 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 (67 total, 21 thin omitted) ### Community 0 - "face-api.js" Cohesion: 0.02 Nodes (38): bn(), ca(), cd(), ce(), dn(), ee(), er(), et() (+30 more) ### Community 1 - "n" Cohesion: 0.07 Nodes (85): a(), ae(), ao(), b(), ba(), be(), bf(), bi() (+77 more) ### Community 2 - "app.js" Cohesion: 0.06 Nodes (71): afterCurrent(), applyMirror(), armNudge(), beginCountdown(), beginDetect(), bindBackdropClose(), busyWithFlow(), cancelCountdown() (+63 more) ### Community 3 - "skin-score.js" Cohesion: 0.12 Nodes (44): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+36 more) ### Community 4 - "isTensor" Cohesion: 0.33 Nodes (5): extractorsFactory$3(), extractParamsFromWeigthMap$4(), isTensor(), isTensor1D(), isTensor2D() ### Community 5 - ".toBatchTensor" Cohesion: 0.08 Nodes (30): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+22 more) ### Community 6 - "getEnv" Cohesion: 0.09 Nodes (26): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), DetectAllFacesTask(), DrawBox(), drawDetections(), drawFaceExpressions() (+18 more) ### Community 7 - "FaceLandmarks" Cohesion: 0.06 Nodes (16): bgrToRgbTensor(), extendWithFaceLandmarks(), FaceLandmark68NetBase(), FaceLandmarks(), FaceLandmarks5(), FaceLandmarks68(), getCenterPoint(), isDimensions() (+8 more) ### Community 8 - "disposeUnusedWeightTensors" Cohesion: 0.22 Nodes (6): disposeUnusedWeightTensors(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$6(), extractParamsFromWeigthMap$7(), extractParamsFromWeigthMapTiny() ### Community 9 - "__awaiter" Cohesion: 0.22 Nodes (8): __awaiter(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), Mtcnn(), toNetInput() ### Community 10 - "extractWeightEntryFactory" Cohesion: 0.53 Nodes (6): extractorsFactory$7(), extractWeightEntryFactory(), loadConvParamsFactory(), loadParamsFactory(), loadParamsFactory$1(), loadSeparableConvParamsFactory() ### Community 11 - "FaceProcessor" Cohesion: 0.24 Nodes (3): extractParams$1(), 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: 0.15 Nodes (8): extendWithAge(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), PredictAllAgeAndGenderTask(), PredictAllFaceExpressionsTask(), PredictSingleAgeAndGenderTask() ### 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: 0.19 Nodes (5): ComposableTask(), getModelUris(), Gf(), loadWeightMap(), 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 - "extractParamsFromWeigthMap$1" Cohesion: 0.40 Nodes (3): extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$3(), seperateWeightMaps() ### Community 26 - "wi" Cohesion: 0.28 Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 more) ### Community 27 - "gen_voice.py" Cohesion: 0.30 Nodes (11): ndarray, Path, gen_countdown(), main(), normalize_clip(), 倒计时单独按字生成再拼接,避免「三、二、一」整句被读成播报腔、与提示音气质漂移。 与提示音共用同一 speaker + instruct;句间留约…, 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。 (+3 more) ### 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: 0.50 Nodes (4): 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 40 - ".computeFaceDescriptor" Cohesion: 0.18 Nodes (4): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor(), FaceRecognitionNet() ### Community 41 - "SsdMobilenetv1" Cohesion: 0.40 Nodes (3): extractorsFactory$5(), extractParamsFromWeigthMap$5(), SsdMobilenetv1() ### 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() ### Community 58 - ".dispose" Cohesion: 0.14 Nodes (13): computeReshapedDimensions(), extractBoundingBoxes(), iou(), isEven(), nonMaxSuppression(), nonMaxSuppression$1(), pyramidDown(), scale() (+5 more) ### Community 61 - ".extractWeights" Cohesion: 0.08 Nodes (25): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+17 more) ### Community 63 - "e2e-browser.mjs" Cohesion: 0.29 Nodes (4): EXPECTED, fails, pageErrors, pwRoot ## Knowledge Gaps - **63 isolated node(s):** `step1-front`, `step2-rightface`, `step3-leftface`, `hint-noface`, `hint-near` (+58 more) These have ≤1 connection - possible missing edges or undocumented components. - **21 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 (0.083) - this node is a cross-community bridge._ - **Why does `vizCompose()` connect `app.js` to `n`?** _High betweenness centrality (0.058) - this node is a cross-community bridge._ - **Why does `Box()` connect `extractFaces` to `face-api.js`, `.dispose`, `isValidNumber`, `FaceLandmarks`?** _High betweenness centrality (0.058) - 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?** _63 weakly-connected nodes found - possible documentation gaps or missing edges._