fix(camera): relax initial frontal face recognition
This commit is contained in:
+9
-4
@@ -607,7 +607,7 @@
|
||||
var img = new Image();
|
||||
img.onload = function () {
|
||||
faceapi
|
||||
.detectAllFaces(img, new faceapi.TinyFaceDetectorOptions({ inputSize: DETECT_INPUT_SIZE, scoreThreshold: DETECT_SCORE }))
|
||||
.detectAllFaces(img, new faceapi.TinyFaceDetectorOptions({ inputSize: DETECT_INPUT_SIZE, scoreThreshold: CaptureQuality.scoreThreshold(target) }))
|
||||
.withFaceLandmarks()
|
||||
.then(function (faces) {
|
||||
var d = faces[0], box = d && d.detection.box;
|
||||
@@ -768,8 +768,8 @@
|
||||
var MODEL_URL = 'vendor/faceapi/models';
|
||||
var DETECT_INTERVAL = 150; // 检测帧间隔(ms)
|
||||
var DETECT_INPUT_SIZE = 416; // tinyFaceDetector 输入尺寸:320 下正脸置信度仅 0.67 且框偏松,416 置信度 ~0.99 框更准(CPU 端略慢,移动端 GPU 无感)
|
||||
var DETECT_SCORE = CaptureQuality.config.score;
|
||||
var MISS_FRAMES_MAX = 3; // 连续漏检 ≥3 帧(~450ms)才报「未检测到人脸」,容忍单帧抖动
|
||||
var FRONT_MISS_FRAMES_MAX = 6; // 正面首次发现人脸前,多给相机对焦/曝光几次检测机会。
|
||||
var NO_PROGRESS_MS = 12000; // 单步超过该时长仍未抓拍→浮出调整提示
|
||||
var PREVIEW_SCALE = 1; // 与 CSS #cam-video 铺满预览一致,镜像只改变方向
|
||||
|
||||
@@ -860,6 +860,7 @@
|
||||
holdState = null;
|
||||
resetAngleHaptic();
|
||||
missFrames = 0;
|
||||
frontFaceSeen = false;
|
||||
oppFrames = 0;
|
||||
lastHint = '';
|
||||
clearTimeout(nudgeTimer);
|
||||
@@ -913,7 +914,7 @@
|
||||
if (shutterLock || capturing || !camLive) return Promise.resolve(); // 抓帧/流程推进中不判姿态
|
||||
var step = camStep, seq = camSeq, generation = detGeneration; // 旧镜头推理结果不能污染新镜头
|
||||
return faceapi
|
||||
.detectAllFaces(camVideo, new faceapi.TinyFaceDetectorOptions({ inputSize: DETECT_INPUT_SIZE, scoreThreshold: DETECT_SCORE }))
|
||||
.detectAllFaces(camVideo, new faceapi.TinyFaceDetectorOptions({ inputSize: DETECT_INPUT_SIZE, scoreThreshold: CaptureQuality.scoreThreshold(CAM_STEPS[step].target) }))
|
||||
.withFaceLandmarks()
|
||||
.then(function (d) {
|
||||
if (step !== camStep || seq !== camSeq || generation !== detGeneration) return;
|
||||
@@ -941,6 +942,7 @@
|
||||
} catch (e) { return null; }
|
||||
}
|
||||
var missFrames = 0; // 连续漏检帧计数:单帧抖动不报「未检测到人脸」
|
||||
var frontFaceSeen = false;
|
||||
/* camera-haptic-pure-begin */
|
||||
function captureHaptic(nav) {
|
||||
// Unsupported/blocked vibration must never interrupt automatic capture.
|
||||
@@ -976,7 +978,10 @@
|
||||
if (Array.isArray(d)) d = d[0];
|
||||
var hint = '', ok = false;
|
||||
missFrames = d ? 0 : missFrames + 1;
|
||||
var hasFace = !!d, noFace = !hasFace && missFrames >= MISS_FRAMES_MAX;
|
||||
var hasFace = !!d;
|
||||
if (hasFace && CAM_STEPS[camStep].target === 'front') frontFaceSeen = true;
|
||||
var missLimit = CAM_STEPS[camStep].target === 'front' && !frontFaceSeen ? FRONT_MISS_FRAMES_MAX : MISS_FRAMES_MAX;
|
||||
var noFace = !hasFace && missFrames >= missLimit;
|
||||
if (noFace) {
|
||||
hint = '未检测到人脸';
|
||||
} else if (!hasFace) {
|
||||
|
||||
@@ -6,11 +6,12 @@
|
||||
'use strict';
|
||||
// Real-phone feedback: ease alignment and normal hand/head movement while
|
||||
// retaining two checked frames, one face, framing and final JPEG validation.
|
||||
var config = Object.freeze({ version: '2026-10-15-pitch-roll-relaxed-v7', score: 0.4,
|
||||
var config = Object.freeze({ version: '2026-10-16-front-detection-v8', score: 0.4, frontScore: 0.3,
|
||||
near: 0.30, far: 0.68, center: 0.16, edge: 0.01,
|
||||
dark: 110, bright: 220, holdMs: 450, minFrames: 2, maxGapMs: 2000,
|
||||
yawDrift: 8, pitchDrift: 8, centerDrift: 0.055, sizeDrift: 0.065 });
|
||||
function finite(v) { return typeof v === 'number' && isFinite(v); }
|
||||
function scoreThreshold(target) { return target === 'front' ? config.frontScore : config.score; }
|
||||
function evaluate(d, options) {
|
||||
var failed = function(hint, reason) { return { ok: false, hint: hint, reason: reason || 'quality' }; };
|
||||
if (!d) return failed('未检测到人脸');
|
||||
@@ -18,7 +19,7 @@
|
||||
var box = d.detection.box, w = options.width, h = options.height;
|
||||
if (!box || ![box.x, box.y, box.width, box.height, w, h].every(finite) || w <= 0 || h <= 0 || box.width <= 0 || box.height <= 0) return failed('请将脸部完整移入取景框');
|
||||
var ratio = box.height / h;
|
||||
if (!finite(d.detection.score) || d.detection.score < config.score) return failed('请保持面部清晰');
|
||||
if (!finite(d.detection.score) || d.detection.score < scoreThreshold(options.target)) return failed('请保持面部清晰');
|
||||
if (ratio < config.near) return failed('请靠近一点');
|
||||
if (ratio > config.far) return failed('请远一点');
|
||||
if (box.x < w * config.edge || box.y < h * config.edge || box.x + box.width > w * (1 - config.edge) || box.y + box.height > h * (1 - config.edge)) return failed('请将脸部完整移入取景框');
|
||||
@@ -51,5 +52,5 @@
|
||||
{ since: state.since, lastAt: now, frames: state.frames + 1, anchor: state.anchor };
|
||||
return { state: next, ready: now - next.since >= config.holdMs && next.frames >= config.minFrames };
|
||||
}
|
||||
return { config: config, evaluate: evaluate, hold: hold };
|
||||
return { config: config, scoreThreshold: scoreThreshold, evaluate: evaluate, hold: hold };
|
||||
});
|
||||
|
||||
@@ -152,7 +152,7 @@ try {
|
||||
for (const key of ['front', 'left', 'right']) {
|
||||
const row = body.capture_diagnostics.views[key];
|
||||
assert.equal(row.mode, 'live'); assert.equal(row.direction_checked, true);
|
||||
assert(row.score >= .4 && row.luma >= 110 && row.luma <= 220);
|
||||
assert(row.score >= (key==='front'?.3:.4) && row.luma >= 110 && row.luma <= 220);
|
||||
assert(Math.abs(row.roll) <= 22);
|
||||
}
|
||||
assert(Math.abs(body.capture_diagnostics.views.front.yaw) <= 18);
|
||||
|
||||
@@ -73,7 +73,11 @@ for (const changes of [{ height: 179 }, { height: 410 }, { x: -10 }, { y: 5 }])
|
||||
const d = face(); Object.assign(d.detection.box, changes); assert(!check(d).ok);
|
||||
}
|
||||
const weak = face(); weak.detection.score = .45; assert(check(weak).ok);
|
||||
weak.detection.score = .35; assert(!check(weak).ok);
|
||||
for(const score of [.3,.35,.3999]){const d=face();d.detection.score=score;assert(check(d).ok,'relaxed front confidence');}
|
||||
const low=face();low.detection.score=.2999;assert.equal(check(low).hint,'请保持面部清晰');
|
||||
for(const target of ['left','right']){const d=face(target==='left'?-45:45);d.detection.score=.35;assert.equal(check(d,{target}).hint,'请保持面部清晰');d.detection.score=.4;assert(check(d,{target}).ok);}
|
||||
assert.equal(Quality.scoreThreshold('front'),.3);assert.equal(Quality.scoreThreshold('left'),.4);assert.equal(Quality.scoreThreshold('right'),.4);
|
||||
weak.detection.score = .29; assert(!check(weak).ok);
|
||||
const obs = check(face()).observation;
|
||||
let held = Quality.hold(null, obs, 1000); assert(!held.ready);
|
||||
held = Quality.hold(held.state, obs, 1400); assert(!held.ready);
|
||||
@@ -116,7 +120,7 @@ assert.equal(Diagnostics.assess(raw).views.right.status, 'valid');
|
||||
const normalized = Diagnostics.normalize({ version: Quality.config.version, secret: 'discard', views: { front: { mode: 'live', yaw: 1, score: .9, luma: Infinity, secret: 'discard' }, left: { mode: 'unchecked', reason: 'model-unavailable' } } });
|
||||
assert.equal(normalized.policy.capture.holdMs, 450);
|
||||
assert.equal(normalized.policy.capture.minFrames, 2);
|
||||
assert.equal(normalized.version, '2026-10-15-pitch-roll-relaxed-v7');
|
||||
assert.equal(normalized.version, '2026-10-16-front-detection-v8');
|
||||
assert.equal(normalized.views.front.luma, undefined);
|
||||
assert(!JSON.stringify(normalized).includes('discard'));
|
||||
assert.equal(Diagnostics.normalize({ version: '<script>' }).version, 'unknown');
|
||||
|
||||
@@ -43,7 +43,7 @@ assert.equal(pattern, 30);
|
||||
// are stubs; the relaxed shared hold policy now requires 450ms/2 frames.
|
||||
let now = 10000, buzzes = 0, captures = 0;
|
||||
const state = {
|
||||
missFrames: 0, MISS_FRAMES_MAX: 3, camVideo: { videoHeight: 600 }, FACE_NEAR: .30, FACE_FAR: .68,
|
||||
missFrames: 0, MISS_FRAMES_MAX: 3, FRONT_MISS_FRAMES_MAX: 6, frontFaceSeen:false, camVideo: { videoHeight: 600 }, FACE_NEAR: .30, FACE_FAR: .68,
|
||||
faceOffsetX: () => 0, CENTER_TOL: .18, CAM_STEPS: [{ target: 'front' }], camStep: 0,
|
||||
HeadPose: { check: () => ({ ok: true }) }, sideYawFlip: false, faceLuma: () => 100,
|
||||
LUMA_DARK: 65, LUMA_BRIGHT: 235, window: {}, setMask: () => {}, setHint: () => {},
|
||||
@@ -113,4 +113,17 @@ for (const nav of [{}, { vibrate: () => false }, { vibrate: () => { throw Error(
|
||||
state.navigator = nav; state.resetAngleHaptic();
|
||||
state.onDetect(face); now += 1000; assert.doesNotThrow(() => state.onDetect(face));
|
||||
}
|
||||
console.log('PASS: rounded contours; 1s invalid-angle cue, 4s throttle, cancellation/lifecycle, unsupported safety; unchanged 450ms/2-frame capture hold');
|
||||
const missingHints=[];state.setHint=text=>missingHints.push(text);
|
||||
state.resetAngleHaptic();state.frontFaceSeen=false;state.missFrames=0;state.CAM_STEPS[0].target='front';
|
||||
const priorCaptures=captures;
|
||||
for(let i=0;i<5;i++)state.onDetect(null);
|
||||
assert.equal(missingHints.length,0,'initial front misses are quiet for five detections');
|
||||
state.onDetect(null);assert.equal(missingHints.at(-1),'未检测到人脸');
|
||||
missingHints.length=0;state.missFrames=0;state.frontFaceSeen=true;
|
||||
state.onDetect(null);state.onDetect(null);assert.equal(missingHints.length,0);
|
||||
state.onDetect(null);assert.equal(missingHints.at(-1),'未检测到人脸','after seeing a front face retain normal missing detection');
|
||||
missingHints.length=0;state.missFrames=0;state.frontFaceSeen=false;state.CAM_STEPS[0].target='right';
|
||||
state.onDetect(null);state.onDetect(null);assert.equal(missingHints.length,0);
|
||||
state.onDetect(null);assert.equal(missingHints.at(-1),'未检测到人脸','side missing threshold unchanged');
|
||||
assert.equal(captures,priorCaptures,'warmup never permits capture without a face');
|
||||
console.log('PASS: initial-front missing tolerance6 vs normal3, no empty capture; angle haptics/lifecycle and unchanged 450ms/2-frame hold');
|
||||
|
||||
Reference in New Issue
Block a user