feat(h5): calculate integer total from weighted dimensions across reports and admin

2026-10-14 14:25:17 +08:00
parent 61a7f7c726
commit d8c67762da
16 changed files with 1891 additions and 1435 deletions
@@ -25,7 +25,7 @@
  "23": "facepp-skinanalyze（旷视皮肤分析专业版调用技能）",
  "24": "巨子测肤 · 1'me 语音播报内容设计文档 V1.0",
  "25": "mobile-select.iife.min.js",
-  "26": ".extractWeights",
+  "26": "NeuralNetwork",
  "27": "gen_voice.py",
  "28": "C",
  "29": "face-api.js 本地化依赖（h5/vendor/faceapi/）",
@@ -40,12 +40,12 @@
  "38": "FaceLandmark68Net",
  "39": "UI交互界面调整",
  "40": "第四轮反馈修改与验收",
-  "41": ".loadFromDisk",
+  "41": "ao",
  "42": "layer_at",
-  "43": "ComputeAllFaceDescriptorsTask",
+  "43": ".run",
  "44": "start-local.sh",
  "45": "report-persistence.mjs",
-  "46": "PredictAllFaceExpressionsWithFaceAlignmentTask",
+  "46": ".forwardInput",
  "47": "extractFaceTensors",
  "48": "已修改",
  "49": "mobile-select/README.md",
@@ -63,7 +63,7 @@
  "61": "报告布局与跟手交互调整",
  "62": "提交前 Review（2026-10-11）",
  "63": "e2e-browser.mjs",
-  "64": "isValidNumber",
+  "64": "综合得分：三维度按 4:3:3 加权",
  "65": "微信登录接入与公网部署说明",
  "66": "h5/README.md",
  "67": "ui-20261009.mjs",
@@ -92,13 +92,12 @@
  "90": "customer-feedback.mjs",
  "91": "wi",
  "92": "客户反馈修改（2026-10-12）",
-  "93": ".runAndExtendWithFaceDetection",
+  "93": ".runAndExtendWithFaceDetections",
  "94": "第三轮反馈：PSD 对齐、验收及上线记录",
  "95": "login-performance.mjs",
  "96": "production-loop.mjs",
  "97": "account-client.js",
-  "98": ".mul",
-  "99": "ComputeSingleFaceDescriptorTask",
+  "98": "TinyYolov2",
  "100": ".draw",
  "101": "wechat-fixture.cjs",
  "102": "DetectSingleFaceLandmarksTask",
@@ -110,40 +109,23 @@
  "108": "profile-interaction.mjs",
  "109": "submitPhotos",
  "110": "startCamera",
-  "111": "extractWeightsFactory",
  "112": "微信退出登录-2026-10-13.md",
  "113": "swipe-track.js",
  "114": "optimize_delivery_images.py",
  "115": "normalize",
-  "116": ".run",
+  "116": "extractAllFacesAndComputeResults",
  "117": "play",
  "118": "f",
-  "119": "PredictSingleFaceExpressionsWithFaceAlignmentTask",
-  "120": "PredictAllFaceExpressionsTask",
  "121": "wechat-browser.mjs",
  "122": "doCapture",
  "123": "评分圈内居中、基础信息页固定与正脸语音修复",
-  "124": "FaceProcessor",
  "125": "报告等待页实拍背景-2026-10-12.md",
-  "126": "PredictSingleFaceExpressionsTask",
  "127": "splash-brand-browser.mjs",
-  "128": "NeuralNetwork",
-  "129": "TinyYolov2Base",
-  "130": "FaceFeatureExtractor",
  "131": "原始肌龄显示与鸿蒙滚轮兼容",
  "132": "harmony-picker.mjs",
-  "133": ".toString",
  "134": "camera-flip-browser.mjs",
-  "135": "AgeGenderNet",
-  "136": "convLayer",
  "137": "height",
-  "138": "age",
  "139": "recommendation.js",
-  "140": ".forwardInput",
-  "141": "FaceRecognitionNet",
-  "142": ".runAndExtendWithFaceDetections",
-  "143": "TinyXception",
-  "144": "FaceExpressionNet",
  "145": "PredictAllAgeAndGenderWithFaceAlignmentTask",
  "146": "PredictSingleAgeAndGenderWithFaceAlignmentTask",
  "147": "拍摄角度不合格震动提醒-2026-10-13.md"
@@ -1 +1 @@
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+{"0": "b513c3d9e2ce0ee9", "1": "cb6ea50bd4e4a5ca", "2": "4d1bb0fdf94e716d", "3": "4ee58d162f4e59ea", "4": "4b1835ae3a82cf12", "5": "5d94cf57d5d1a6fb", "6": "ae50c9da649ec57b", "7": "a906f950ce2f31ab", "8": "94615f6f98a8e1f2", "9": "4a86450ff5444c44", "10": "188dd5e33354e35d", "11": "4a490abd5e503318", "12": "f7306620afc0de70", "13": "7e3b558a587a4ebe", "14": "58417b287cc79e90", "15": "4bc370be8afd7db1", "16": "95add6a975c0cb72", "17": "288c2a98831b0021", "18": "f93d5d85e671fcee", "19": "5272556cf61d08b3", "20": "aecf2fce44ba49c5", "21": "2405e1edb003a83e", "22": "0e697f6aae67b293", "23": "90fac00055070ce2", "24": "f85b5b1634224c86", "25": "46e8db3e6e3f37ea", "26": "8e18b3e21166963c", "27": "eab427ce9a5219e9", "28": "8609687e7e66e290", "29": "c608f1c6492e1cb1", "30": "73c13793fca09f56", "31": "fbbcfc059751cc6a", "32": "f6bcf56c4589316b", "33": "75f750c5b7d9f63d", "34": "f024ff7942935690", "35": "241be5abeab1da6f", "36": "a7d375041779bad4", "37": "cb8f26249485324a", "38": "9a25b1230b5fe649", "39": "fdd95375b4a5ddb3", "40": "5e546676ab96de03", "41": "8e5e97153c881130", "42": "916170b9f5d7346b", "43": "6cda159cdef28f96", "44": "852c1bb2446edd9c", "45": "e042d7fe7351bcb9", "46": "880a74c6d255e5cc", "47": "0303828c18285570", "48": "cf2f2424bc00436f", "49": "1f976711cda158dc", "50": "bbb2b57d72922b16", "51": "eb6a182204867275", "52": "2ec3c8c088568ba9", "53": "68c45056378341a7", "54": "c58d41e8e580fdc6", "55": "812950f51be20e40", "56": "9ee2ad45dc27851d", "57": "f2a40b5f1b29f669", "58": "5dc697ba1920d5a0", "59": "891f59cda3708718", "60": "a505b7de6257a4e8", "61": "5209ce2a267bf33b", "62": "1366ae24c7e5897d", "63": "c256b43f75d7809e", "64": "ad47fc38e493a4e2", "65": "bdee3c4a37df52f8", "66": "9727b30d720298e3", "67": "3e126d8deaf6e200", "68": "6b91f3679541de79", "69": "e511846eeba03076", "70": "be0c8310abda2467", "71": "589a2d5a76f3880a", "72": "c84f196a7bd35861", "73": "2b887bf601ccfb9f", "74": "ae2a154311e1f53a", "75": "69fdd23278518884", "76": "3c4c278d6026bc3a", "77": "979dcc63399620ad", "78": "68c52c80f38f8b2c", "79": "c6cfdfe181232ecc", "80": "315325cde1352e98", "81": "37c559741825be74", "82": "200f25fbad7af8fb", "83": "1284897282eb47a3", "84": "d8bb296741d3d05c", "85": "7067e88534a91ab4", "86": "386c6fcc7be918e0", "87": "e5fa7717989eda80", "88": "8b5ab5232cef3457", "89": "9e3363b80eeceeea", "90": "dd1c246e19a2d032", "91": "83b0fd3b14363e4d", "92": "fced244d93677d90", "93": "f0b2b88fc2d3c999", "94": "713d04996c4627df", "95": "59c31f858c7b6970", "96": "4195478d5c528371", "97": "505ea719b994ac5e", "98": "c96276581a8c98d4", "100": "bf75bfc99d4f9e34", "101": "beb276de6301634c", "102": "9d0d3a0dba1e85c8", "103": "6ffbe07b521a061b", "104": "e114a7aebaaca2f1", "105": "af50c66d16c81bba", "106": "8bc72c179793e1c2", "107": "3877490226a78145", "108": "e0fc0a42e33bda91", "109": "4afb1715f62865b1", "110": "f1660fde8e75d368", "112": "af995dd35403b4dd", "113": "0d99f86b9e41c4bb", "114": "b9d7c266afa84437", "115": "a8dd95af4259d555", "116": "ec2ef7fbebe8cd34", "117": "679b8985ab775959", "118": "50139bb98492555c", "121": "2b037735e1f5b0f6", "122": "61b6fafa306cb441", "123": "b091e3eb82b456eb", "125": "e4f29216745ec758", "127": "006218e34885dbe0", "131": "482dbb7ec33d8c23", "132": "3daacabc5062b554", "134": "e7c90d6ef8276a1e", "137": "afdd5c2f54c40808", "139": "e594ecaa8e7d1538", "145": "92ab3e5134ed8685", "146": "01f68dfc34a29d32", "147": "0e6cad06ebfcfb29"}
@@ -1,16 +1,16 @@
-# Graph Report - juzi  (2026-10-13)
+# Graph Report - juzi  (2026-10-14)

 ## Corpus Check
- 118 files · ~4,910,480 words
+- 120 files · ~4,911,203 words
 - Verdict: corpus is large enough that graph structure adds value.

 ## Summary
- 1507 nodes · 2958 edges · 148 communities (112 shown, 36 thin omitted)
+- 1522 nodes · 2977 edges · 130 communities (105 shown, 25 thin omitted)
 - Extraction: 93% EXTRACTED · 7% INFERRED · 0% AMBIGUOUS · INFERRED: 210 edges (avg confidence: 0.57)
 - Token cost: 0 input · 0 output

 ## Graph Freshness
- Built from commit: `73813061`
+- Built from commit: `61a7f7c7`
 - Run `git rev-parse HEAD` and compare to check if the graph is stale.
 - Run `graphify update .` after code changes (no API cost).

@@ -41,7 +41,7 @@
 - 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
 - mobile-select.iife.min.js
- .extractWeights
+- NeuralNetwork
 - gen_voice.py
 - C
 - face-api.js 本地化依赖（h5/vendor/faceapi/）
@@ -54,12 +54,12 @@
 - FaceLandmark68Net
 - UI交互界面调整
 - 第四轮反馈修改与验收
- .loadFromDisk
+- ao
 - layer_at
- ComputeAllFaceDescriptorsTask
+- .run
 - start-local.sh
 - report-persistence.mjs
- PredictAllFaceExpressionsWithFaceAlignmentTask
+- .forwardInput
 - extractFaceTensors
 - 已修改
 - mobile-select/README.md
@@ -74,7 +74,7 @@
 - 报告布局与跟手交互调整
 - 提交前 Review（2026-10-11）
 - e2e-browser.mjs
- isValidNumber
+- 综合得分：三维度按 4:3:3 加权
 - 微信登录接入与公网部署说明
 - h5/README.md
 - ui-20261009.mjs
@@ -99,13 +99,12 @@
 - 傅艳NEW与项思炼的会话 2026年10月12日.md
 - wi
 - 客户反馈修改（2026-10-12）
- .runAndExtendWithFaceDetection
+- .runAndExtendWithFaceDetections
 - 第三轮反馈：PSD 对齐、验收及上线记录
 - login-performance.mjs
 - production-loop.mjs
 - account-client.js
- .mul
- ComputeSingleFaceDescriptorTask
+- TinyYolov2
 - .draw
 - wechat-fixture.cjs
 - DetectSingleFaceLandmarksTask
@@ -115,36 +114,19 @@
 - profile-interaction.mjs
 - submitPhotos
 - startCamera
- extractWeightsFactory
 - 微信退出登录-2026-10-13.md
 - normalize
- .run
+- extractAllFacesAndComputeResults
 - play
 - f
- PredictSingleFaceExpressionsWithFaceAlignmentTask
- PredictAllFaceExpressionsTask
 - wechat-browser.mjs
 - doCapture
 - 评分圈内居中、基础信息页固定与正脸语音修复
- FaceProcessor
 - 报告等待页实拍背景-2026-10-12.md
- PredictSingleFaceExpressionsTask
- NeuralNetwork
- TinyYolov2Base
- FaceFeatureExtractor
 - 原始肌龄显示与鸿蒙滚轮兼容
 - harmony-picker.mjs
- .toString
- AgeGenderNet
- convLayer
 - height
- age
 - recommendation.js
- .forwardInput
- FaceRecognitionNet
- .runAndExtendWithFaceDetections
- TinyXception
- FaceExpressionNet
 - PredictAllAgeAndGenderWithFaceAlignmentTask
 - PredictSingleAgeAndGenderWithFaceAlignmentTask
 - 拍摄角度不合格震动提醒-2026-10-13.md
@@ -176,11 +158,11 @@
 ## Import Cycles
 - None detected.

-## Communities (148 total, 36 thin omitted)
+## Communities (130 total, 25 thin omitted)

 ### Community 0 - "face-api.js"
 Cohesion: 0.02
-Nodes (42): boxPredictionLayer(), cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), decodeBoxesLayer(), depthwiseConvLayer() (+34 more)
+Nodes (41): bgrToRgbTensor(), cn(), computeReshapedDimensions(), createBrowserEnv(), createFileSystem(), createNodejsEnv(), Dimensions(), dr() (+33 more)

 ### Community 1 - "线上闭环测试（不含真实微信授权）"
 Cohesion: 0.25
@@ -191,32 +173,32 @@ Cohesion: 0.12
 Nodes (17): cancelSkinDrag(), decode(), drain(), goSkin(), load(), loginAllowed(), loginWechat(), preload() (+9 more)

 ### Community 3 - "skin-score.js"
-Cohesion: 0.10
-Nodes (49): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+41 more)
+Cohesion: 0.08
+Nodes (55): acneGrade(), buildViewModel(), calcAcne(), calcContour(), calcSens(), calcSmooth(), calcTone(), calcWrinkles() (+47 more)

 ### Community 4 - "customer-feedback-second.js"
 Cohesion: 0.14
 Nodes (11): assert, context, events, face, fs, geometry, original, path (+3 more)

 ### Community 5 - "disposeUnusedWeightTensors"
-Cohesion: 0.12
+Cohesion: 0.09
 Nodes (23): disposeUnusedWeightTensors(), extractorsFactory$3(), extractorsFactory$5(), extractorsFactory$7(), extractorsFactory$9(), extractParamsFromWeigthMap(), extractParamsFromWeigthMap$1(), extractParamsFromWeigthMap$2() (+15 more)

 ### Community 6 - "n"
-Cohesion: 0.12
-Nodes (36): ae(), be(), bf(), bi(), ce(), de(), e(), Ef() (+28 more)
+Cohesion: 0.11
+Nodes (43): a(), ae(), be(), bf(), bi(), ce(), de(), e() (+35 more)

 ### Community 7 - "test/profile-store.js"
-Cohesion: 0.14
-Nodes (13): assert, data, empty, now, other, Profile, quota, regions (+5 more)
+Cohesion: 0.06
+Nodes (21): age(), clean(), create(), key(), assert, data, empty, now (+13 more)

 ### Community 8 - "admin.js"
-Cohesion: 0.20
-Nodes (29): ageText(), api(), bind(), captureQualityHtml(), closeDetail(), collectFilters(), dimsHtml(), doRetry() (+21 more)
+Cohesion: 0.19
+Nodes (30): ageText(), api(), bind(), captureQualityHtml(), closeDetail(), collectFilters(), dimsHtml(), doRetry() (+22 more)

 ### Community 9 - "__awaiter"
 Cohesion: 0.14
-Nodes (13): __awaiter(), extendWithFaceDescriptor(), extendWithFaceExpressions(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), fetchImage(), fetchJson(), fetchNetWeights() (+5 more)
+Nodes (12): __awaiter(), ComposableTask(), fetchImage(), fetchJson(), fetchNetWeights(), fetchOrThrow(), __generator(), getModelUris() (+4 more)

 ### Community 10 - "k"
 Cohesion: 0.18
@@ -228,7 +210,7 @@ Nodes (20): atomic(), body(), cookie(), cookies(), crypto, fs, json(), login() (

 ### Community 12 - "server.js"
 Cohesion: 0.08
-Nodes (52): accounts, appendRecord(), callFacepp(), CaptureDiagnostics, CRED, crypto, csvCell(), DATA_DIR (+44 more)
+Nodes (53): accounts, appendRecord(), callFacepp(), CaptureDiagnostics, CRED, crypto, csvCell(), DATA_DIR (+45 more)

 ### Community 13 - "files"
 Cohesion: 0.12
@@ -267,8 +249,8 @@ Cohesion: 0.19
 Nodes (19): awaitMediaLoaded(), bufferToImage(), createCanvas(), createCanvasFromMedia(), extractFaces(), extractImagePatches(), getContext2dOrThrow(), getEnv() (+11 more)

 ### Community 22 - "i"
-Cohesion: 0.08
-Nodes (31): ba(), bn(), ca(), cl(), da(), dn(), ee(), et() (+23 more)
+Cohesion: 0.11
+Nodes (21): ba(), ca(), da(), dn(), ee(), et(), fa(), i() (+13 more)

 ### Community 23 - "facepp-skinanalyze（旷视皮肤分析专业版调用技能）"
 Cohesion: 0.20
@@ -282,17 +264,17 @@ Nodes (8): 1. 音频格式约定(已定), 2. 播报清单(14 条), 3. 播放策
 Cohesion: 0.20
 Nodes (16): _arrayLikeToArray(), _arrayWithHoles(), _arrayWithoutHoles(), _classCallCheck(), _createClass(), _defineProperties(), h(), _iterableToArray() (+8 more)

-### Community 26 - ".extractWeights"
-Cohesion: 0.22
-Nodes (10): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractorsFactory$1() (+2 more)
+### Community 26 - "NeuralNetwork"
+Cohesion: 0.07
+Nodes (27): createFaceDetectionNet(), createFaceRecognitionNet(), createMtcnn(), createSsdMobilenetv1(), createTinyFaceDetector(), createTinyYolov2(), extractConvParamsFactory(), extractFCParamsFactory() (+19 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 - "C"
-Cohesion: 0.10
-Nodes (28): ao(), Bo(), C(), cd(), co(), Do(), eo(), fo() (+20 more)
+Cohesion: 0.09
+Nodes (32): bn(), Bo(), C(), cd(), cl(), co(), eo(), fn() (+24 more)

 ### Community 29 - "face-api.js 本地化依赖（h5/vendor/faceapi/）"
 Cohesion: 0.29
@@ -322,14 +304,18 @@ Nodes (4): 1meAI测肤旷视UI问题反馈, UI交互界面调整, 交互, **设
 Cohesion: 0.22
 Nodes (8): PSD 来源, 前端参数及限制, 后台校准留痕, 已确认并实现, 生产部署及只读验收, 皱纹（紧塑力）原文, 第四轮反馈修改与验收, 验证

-### Community 41 - ".loadFromDisk"
-Cohesion: 0.29
-Nodes (3): ComposableTask(), getModelUris(), TinyFaceDetector()
+### Community 41 - "ao"
+Cohesion: 0.33
+Nodes (6): ao(), Do(), io(), oo(), so(), To()

 ### Community 42 - "layer_at"
 Cohesion: 0.18
 Nodes (11): list, bounds(), layer_at(), main(), save_image(), composite(), main(), sha256() (+3 more)

+### Community 43 - ".run"
+Cohesion: 0.22
+Nodes (3): ComputeAllFaceDescriptorsTask(), ComputeSingleFaceDescriptorTask(), extendWithFaceDescriptor()
+
 ### Community 44 - "start-local.sh"
 Cohesion: 0.50
 Nodes (3): HOST, PORT, start-local.sh script
@@ -338,9 +324,13 @@ Nodes (3): HOST, PORT, start-local.sh script
 Cohesion: 0.29
 Nodes (6): child, dataRoot, fx, h5, ReportUI, require

+### Community 46 - ".forwardInput"
+Cohesion: 0.22
+Nodes (9): boxPredictionLayer(), decodeBoxesLayer(), depthwiseConvLayer(), getCenterCoordinatesAndSizesLayer(), getStridesForLayerIdx(), mobileNetV1(), outputLayer(), pointwiseConvLayer() (+1 more)
+
 ### Community 47 - "extractFaceTensors"
-Cohesion: 0.10
-Nodes (11): Box(), DetectAllFaceLandmarksTask(), extendWithFaceDetection(), extendWithFaceLandmarks(), extractFaceTensors(), FaceLandmarks(), isWithFaceDetection(), isWithFaceLandmarks() (+3 more)
+Cohesion: 0.11
+Nodes (8): Box(), DetectAllFaceLandmarksTask(), extendWithFaceLandmarks(), extractFaceTensors(), FaceLandmarks(), isTensor3D(), minBbox(), ObjectDetection()

 ### Community 48 - "已修改"
 Cohesion: 0.22
@@ -367,8 +357,8 @@ Cohesion: 0.60
 Nodes (5): diffCtx(), loadJSON(), main(), okNum(), okStr()

 ### Community 58 - ".forwardInput"
-Cohesion: 0.16
-Nodes (9): iou(), nonMaxSuppression(), nonMaxSuppression$1(), scale(), SsdMobilenetv1(), stage1(), stage2(), stage3() (+1 more)
+Cohesion: 0.17
+Nodes (9): FaceRecognitionNet(), iou(), nonMaxSuppression(), nonMaxSuppression$1(), scale(), SsdMobilenetv1(), stage1(), stage2() (+1 more)

 ### Community 61 - "报告布局与跟手交互调整"
 Cohesion: 0.33
@@ -382,9 +372,9 @@ Nodes (4): 仍需公网/业务确认, 已发现并修复, 提交前 Review（202
 Cohesion: 0.29
 Nodes (4): EXPECTED, fails, pageErrors, pwRoot

-### Community 64 - "isValidNumber"
-Cohesion: 0.33
-Nodes (5): bgrToRgbTensor(), Dimensions(), isValidNumber(), isValidProbablitiy(), isWithGender()
+### Community 64 - "综合得分：三维度按 4:3:3 加权"
+Cohesion: 0.40
+Nodes (4): 已确认公式, 本地验证, 生效位置, 综合得分：三维度按 4:3:3 加权

 ### Community 65 - "微信登录接入与公网部署说明"
 Cohesion: 0.29
@@ -450,9 +440,9 @@ Nodes (9): Ci(), Ei(), Fi(), Ii(), ki(), pe(), ri(), wi() (+1 more)
 Cohesion: 0.33
 Nodes (5): 公网部署与复测, 客户反馈修改（2026-10-12）, 皱纹数据说明, 逐项处理, 验证

-### Community 93 - ".runAndExtendWithFaceDetection"
-Cohesion: 0.33
-Nodes (5): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), detectAllFaces(), DetectSingleFaceTask()
+### Community 93 - ".runAndExtendWithFaceDetections"
+Cohesion: 0.17
+Nodes (10): allFacesMtcnn(), allFacesSsdMobilenetv1(), allFacesTinyYolov2(), detectAllFaces(), DetectAllFacesTask(), DetectSingleFaceTask(), extendWithFaceDetection(), isWithFaceDetection() (+2 more)

 ### Community 94 - "第三轮反馈：PSD 对齐、验收及上线记录"
 Cohesion: 0.33
@@ -466,14 +456,14 @@ Nodes (3): artifacts, errors, samples
 Cohesion: 0.53
 Nodes (8): browser(), clearGuestCache(), ensureGuest(), guest(), init(), logout(), rememberKind(), request()

-### Community 98 - ".mul"
-Cohesion: 0.50
-Nodes (3): wl(), wn(), xn()
-
 ### Community 101 - "wechat-fixture.cjs"
 Cohesion: 0.50
 Nodes (3): crypto, fs, path

+### Community 102 - "DetectSingleFaceLandmarksTask"
+Cohesion: 0.16
+Nodes (3): DetectSingleFaceLandmarksTask(), PredictAllFaceExpressionsWithFaceAlignmentTask(), PredictSingleFaceExpressionsWithFaceAlignmentTask()
+
 ### Community 107 - "基础信息记忆与肤质拖动"
 Cohesion: 0.40
 Nodes (4): 回归命令, 基础信息记忆与肤质拖动, 肤质交互, 范围
@@ -490,25 +480,21 @@ Nodes (12): bindBackdropClose(), closeLoginSuccess(), closeOverlay(), handleCamH
 Cohesion: 0.21
 Nodes (12): beginDetect(), detTick(), enableFallback(), getCamStream(), loadFaceApi(), loadModels(), maybeStartDetect(), onCamTrackEnded() (+4 more)

-### Community 111 - "extractWeightsFactory"
-Cohesion: 0.17
-Nodes (8): extractorsFactory(), extractorsFactory$4(), extractParams(), extractParams$5(), extractParams$6(), extractParamsTiny(), extractWeightsFactory(), TinyFaceFeatureExtractor()
-
 ### Community 115 - "normalize"
-Cohesion: 0.27
-Nodes (8): conv(), denseBlock3(), denseBlock4(), depthwiseSeparableConv(), mainBlock(), normalize(), reductionBlock(), __spreadArrays()
+Cohesion: 0.07
+Nodes (28): conv(), conv$1(), convDown(), convLayer(), convLayer$1(), convNoRelu(), convWithBatchNorm(), denseBlock3() (+20 more)

-### Community 116 - ".run"
-Cohesion: 0.29
-Nodes (4): extendWithAge(), extendWithGender(), PredictAllAgeAndGenderTask(), PredictSingleAgeAndGenderTask()
+### Community 116 - "extractAllFacesAndComputeResults"
+Cohesion: 0.14
+Nodes (9): extendWithAge(), extendWithFaceExpressions(), extendWithGender(), extractAllFacesAndComputeResults(), extractSingleFaceAndComputeResult(), PredictAllAgeAndGenderTask(), PredictAllFaceExpressionsTask(), PredictSingleAgeAndGenderTask() (+1 more)

 ### Community 117 - "play"
 Cohesion: 0.33
 Nodes (6): applyMirror(), busyWithFlow(), effMirror(), handleCamVisible(), play(), renderCamStep()

 ### Community 118 - "f"
-Cohesion: 0.20
-Nodes (24): a(), cf(), d(), drawContour(), dt(), ea(), f(), g() (+16 more)
+Cohesion: 0.11
+Nodes (25): cf(), d(), drawContour(), dt(), ea(), f(), FaceLandmarks5(), FaceMatch() (+17 more)

 ### Community 121 - "wechat-browser.mjs"
 Cohesion: 0.22
@@ -522,64 +508,32 @@ Nodes (24): armNudge(), captureFromVideo(), captureHaptic(), captureStageHint(),
 Cohesion: 0.40
 Nodes (4): 发布, 范围, 评分圈内居中、基础信息页固定与正脸语音修复, 验证

-### Community 124 - "FaceProcessor"
-Cohesion: 0.22
-Nodes (3): extractParams$1(), FaceLandmark68TinyNet(), FaceProcessor()
-
-### Community 129 - "TinyYolov2Base"
-Cohesion: 0.29
-Nodes (5): convWithBatchNorm(), depthwiseSeparableConv$1(), leaky(), TinyYolov2Base(), validateConfig()
-
-### Community 130 - "FaceFeatureExtractor"
-Cohesion: 0.22
-Nodes (5): extractFCParamsFactory(), extractorsFactory$8(), extractParams$3(), extractParams$7(), FaceFeatureExtractor()
-
 ### Community 131 - "原始肌龄显示与鸿蒙滚轮兼容"
 Cohesion: 0.50
 Nodes (3): 原始肌龄显示与鸿蒙滚轮兼容, 回归, 范围

-### Community 133 - ".toString"
-Cohesion: 0.20
-Nodes (7): FaceLandmarks5(), FaceMatch(), getCenterPoint(), la(), pr(), pt(), vt()
-
-### Community 136 - "convLayer"
-Cohesion: 0.43
-Nodes (8): convLayer(), fullyConnectedLayer(), ONet(), PNet(), prelu(), qh(), RNet(), sharedLayer()
-
 ### Community 137 - "height"
-Cohesion: 0.38
-Nodes (5): height(), FaceLandmark68NetBase(), getSizesForScale(), normalize$1(), rescaleAndNormalize()
-
-### Community 138 - "age"
-Cohesion: 0.43
-Nodes (4): age(), clean(), create(), key()
+Cohesion: 0.24
+Nodes (6): height(), FaceLandmark68NetBase(), getSizesForScale(), normalize$1(), rescaleAndNormalize(), TinyYolov2Base()

 ### Community 139 - "recommendation.js"
 Cohesion: 0.33
 Nodes (6): assert, check(), missing, raw, SS, UI

-### Community 140 - ".forwardInput"
-Cohesion: 0.48
-Nodes (6): conv$1(), convDown(), convLayer$1(), convNoRelu(), residual(), residualDown()
-
-### Community 141 - "FaceRecognitionNet"
-Cohesion: 0.33
-Nodes (3): extractorsFactory$2(), extractParams$4(), FaceRecognitionNet()
-
 ## Knowledge Gaps
- **345 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+340 more)
+- **353 isolated node(s):** `source`, `document_size`, `pages`, `assets`, `layers` (+348 more)
  These have ≤1 connection - possible missing edges or undocumented components.
- **36 thin communities (<3 nodes) omitted from report** — run `graphify query` to explore isolated nodes.
+- **25 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 `height()` connect `height` to `app.js`, `customer-feedback.js`, `scan-placeholder.mjs`, `__awaiter`, `profile-interaction.mjs`, `showScreen`, `extractFaceTensors`, `extractFaces`, `.forwardInput`?**
-  _High betweenness centrality (0.068) - this node is a cross-community bridge._
+- **Why does `height()` connect `height` to `app.js`, `customer-feedback.js`, `scan-placeholder.mjs`, `profile-interaction.mjs`, `showScreen`, `extractFaceTensors`, `extractFaces`, `.forwardInput`?**
+  _High betweenness centrality (0.061) - this node is a cross-community bridge._
 - **Why does `v()` connect `f` to `report-ui.js`, `vizCompose`, `C`, `face-api.js`?**
-  _High betweenness centrality (0.046) - this node is a cross-community bridge._
+  _High betweenness centrality (0.044) - this node is a cross-community bridge._
 - **Why does `fill()` connect `report-ui.js` to `f`?**
-  _High betweenness centrality (0.037) - this node is a cross-community bridge._
+  _High betweenness centrality (0.038) - this node is a cross-community bridge._
 - **Are the 24 inferred relationships involving `n()` (e.g. with `newRecordId()` and `ae()`) actually correct?**
  _`n()` has 24 INFERRED edges - model-reasoned connections that need verification._
 - **Are the 27 inferred relationships involving `r()` (e.g. with `handleExport()` and `handleRecordsQuery()`) actually correct?**
@@ -587,4 +541,4 @@ _Questions this graph is uniquely positioned to answer:_
 - **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 `source`, `document_size`, `pages` to the rest of the system?**
-  _345 weakly-connected nodes found - possible documentation gaps or missing edges._
+  _353 weakly-connected nodes found - possible documentation gaps or missing edges._
@@ -40,8 +40,8 @@
    "semantic_hash": ""
  },
  "h5/js/app.js": {
-    "mtime": 1791884874.9650493,
-    "ast_hash": "1e78662941dfedadd108f24c820676cc",
+    "mtime": 1791957908.9912808,
+    "ast_hash": "f61716926b4be670fc6910e1b72fdb17",
    "semantic_hash": ""
  },
  "h5/js/head-pose.js": {
@@ -50,13 +50,13 @@
    "semantic_hash": ""
  },
  "h5/js/skin-score.js": {
-    "mtime": 1791878308.0809805,
-    "ast_hash": "59d3331a75a32837e04a21afa24fb34a",
+    "mtime": 1791957908.9912808,
+    "ast_hash": "80c2520d2e3099b7aca3ffb80561b4ef",
    "semantic_hash": ""
  },
  "h5/server.js": {
-    "mtime": 1791878239.2009728,
-    "ast_hash": "fd843f8a1ed62e33c8294acbe78b56d0",
+    "mtime": 1791957908.9912808,
+    "ast_hash": "08d8569d26fa2d5baa8654a951c1d200",
    "semantic_hash": ""
  },
  "h5/test/build_fixtures.py": {
@@ -80,8 +80,8 @@
    "semantic_hash": ""
  },
  "h5/test/regression.js": {
-    "mtime": 1791735501.3654072,
-    "ast_hash": "4a712e295c115b6051726cd028e67be2",
+    "mtime": 1791957908.995252,
+    "ast_hash": "cc246a0c8e98c605d10d75c3b8120f2d",
    "semantic_hash": ""
  },
  "h5/vendor/faceapi/face-api.js": {
@@ -135,8 +135,8 @@
    "semantic_hash": ""
  },
  "h5/README.md": {
-    "mtime": 1791878573.716988,
-    "ast_hash": "74712e76c626625674a70aa0dcad5a63",
+    "mtime": 1791958083.102039,
+    "ast_hash": "9cc46d638c5ce35d9545c8ff8bcb2a15",
    "semantic_hash": ""
  },
  "h5/index.html": {
@@ -815,8 +815,8 @@
    "semantic_hash": ""
  },
  "h5/js/admin.js": {
-    "mtime": 1791806985.2188702,
-    "ast_hash": "d9d5781dd607497f2803404be4e23e7a",
+    "mtime": 1791958083.102039,
+    "ast_hash": "896e771978fa1b4fc07128dcef3123c1",
    "semantic_hash": ""
  },
  "h5/js/region-data.js": {
@@ -860,8 +860,8 @@
    "semantic_hash": ""
  },
  "h5/admin.html": {
-    "mtime": 1791735369.9312572,
-    "ast_hash": "ddfe588d49452e3973e21b080e61dbd7",
+    "mtime": 1791957908.9912808,
+    "ast_hash": "fe728437f4205fcca110afa0aca1d99a",
    "semantic_hash": ""
  },
  "h5/vendor/mobile-select/README.md": {
@@ -1260,8 +1260,8 @@
    "semantic_hash": ""
  },
  "h5/test/report-persistence.mjs": {
-    "mtime": 1791878308.0849807,
-    "ast_hash": "00d39c0fc96afe463fb1fbfe08b70656",
+    "mtime": 1791958553.4716814,
+    "ast_hash": "c26d054e330aca635b6bfc08a03e4ea0",
    "semantic_hash": ""
  },
  "h5/test/ui-20261009.mjs": {
@@ -2028,5 +2028,15 @@
    "mtime": 1791885450.2930646,
    "ast_hash": "fcbbc5db7241f97579efaf14eaa5135e",
    "semantic_hash": ""
+  },
+  "h5/test/weighted-total.js": {
+    "mtime": 1791957989.9934402,
+    "ast_hash": "60d8d205e8ddc5a68121507541918503",
+    "semantic_hash": ""
+  },
+  "docs/\u7efc\u5408\u5f97\u5206\u4e09\u7ef4\u5ea6\u52a0\u6743-2026-10-14.md": {
+    "mtime": 1791959087.1679206,
+    "ast_hash": "f1d733b0970ac8756c01b11cf0e3fb1f",
+    "semantic_hash": ""
  }
 }