feat: 完善淘宝小程序拍照、报告与登录流程
接入本地实时识别和自动三连拍，调整报告裁切、商品跳转、分享标题及居中页眉；完善游客会话、后台渠道隔离、部署脚本与回归测试。
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MIT License
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Copyright (c) 2018 Vincent Mühler
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Permission is hereby granted, free of charge, to any person obtaining a copy
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Vendored
+242
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# Local tensor face engine
|
||||
|
||||
Runtime adapter: `taobao/utils/native-face.js`.
|
||||
|
||||
The vendor bundle, tiny detector and full 68-point model come from the existing,
|
||||
unchanged `h5/vendor/faceapi/` files. The added tiny 68-point model is downloaded
|
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only from the same official upstream's `weights/` directory; its manifest,
|
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77224-byte shard and source URLs/hashes are in `reference/native-face-models/`.
|
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Upstream is
|
||||
https://github.com/justadudewhohacks/face-api.js. MIT and TensorFlow Apache 2.0
|
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licenses are included; original inline Google/Microsoft notices are retained.
|
||||
|
||||
Build or verify from the repository root:
|
||||
|
||||
```
|
||||
node taobao/scripts/build-native-face.cjs
|
||||
node taobao/scripts/build-native-face.cjs --check
|
||||
node --test taobao/test/native-face.test.cjs
|
||||
node taobao/scripts/benchmark-native-face.cjs --repeats=2
|
||||
node taobao/scripts/benchmark-native-face.cjs --guided --input-sizes=256,160,128 --repeats=2
|
||||
```
|
||||
|
||||
`provenance.json` records every source file's SHA-256 and byte length. The
|
||||
quantized model bytes total 627385 bytes including the optional full model;
|
||||
the default tiny detector plus tiny landmark weights total 270545 bytes.
|
||||
Base64 and manifests are packaged in
|
||||
one CJS module. Runtime decoding uses typed arrays, with no filesystem or Buffer.
|
||||
|
||||
The generated face-api copy has a private TFJS global registry and shadows Node
|
||||
`process`/`Buffer`. Optional Node-only imports (`crypto`, `node-fetch`, `util`,
|
||||
`fs`) are replaced with functions that explicitly throw if reached. The
|
||||
tfjs-node help-string reference is also replaced. The build fails if an
|
||||
unreviewed static `require()` remains, because the IDE resolves unreachable
|
||||
imports too. No Node polyfill or native AI plugin is bundled.
|
||||
|
||||
Create an engine with `create({defaultPixelFormat:'RGBA', maxSide:320,
|
||||
inputSize:160, landmarkModel:'tiny', scoreThreshold:0.35})`; these are the
|
||||
defaults. `landmarkModel:'full'` remains available for controlled comparisons.
|
||||
The runtime default backend remains `cpu` for compatibility. Select WebGL
|
||||
explicitly with `create({backend:'webgl', platform:my, ...})`; no unsupported
|
||||
WebGL request silently falls back to the CPU profile that was too slow on phone.
|
||||
`init()` returns a Promise with backend, inputSize, maxSide, landmarkModel and
|
||||
cpuOptimization. `detect(frame)` returns a Promise with original width,
|
||||
height, total faceCount and at most two complete detections. Each detection has
|
||||
`detection.{box:{x,y,width,height},score}` and `landmarks.positions` containing
|
||||
68 `{x,y}` points. All coordinates refer to original raw frame pixels; no
|
||||
mirroring, rotation or preview crop is applied. Two complete detections suffice
|
||||
for the existing multiple-person rejection gate.
|
||||
|
||||
Input must have integer width/height in 1..4096 and tightly packed four-channel
|
||||
data in an ArrayBuffer or typed-array view. RGBA, BGRA, ARGB, ABGR and their
|
||||
8888 aliases are supported. An explicit format is authoritative: the configured
|
||||
default only fills missing metadata. Unknown formats (including NV/YUV), a
|
||||
stride/bytesPerRow other than width*4, and a nonzero rotation marker are rejected.
|
||||
|
||||
`detect()` synchronously snapshots only the downsampled RGB before returning,
|
||||
so native buffer reuse cannot change a queued inference. All model operations
|
||||
use the CPU backend. The lower-level tensor crop/landmark path avoids the
|
||||
high-level `withFaceLandmarks()` canvas dependency. Concurrent inference rejects
|
||||
with `NATIVE_FACE_BUSY`. `dispose()` is idempotent; pending work rejects with
|
||||
`NATIVE_FACE_DISPOSED`, and tensors are released after that work settles. The
|
||||
last engine instance releases the shared model tensors. `stats()` returns only
|
||||
backend, selected configuration, memory counters and lifecycle booleans.
|
||||
|
||||
The CPU `pad-copy` specialization copies contiguous source blocks into the
|
||||
already zero-filled output tensor. It preserves the original pad values exactly;
|
||||
unhandled scalar/complex inputs fall back to the bundled implementation. Disable
|
||||
it with `cpuOptimization:false` (`cpuOptimization:'none'` in returned diagnostics).
|
||||
It does not change model arithmetic or relax quality/freshness gates. The trial
|
||||
1x1 convolution specialization showed no stable benefit and was removed.
|
||||
|
||||
`detect()` additionally returns inputSize, maxSide, landmarkModel,
|
||||
cpuOptimization and `timings.{snapshotMs,modelMs,tensorMs,detectorMs,landmarkMs,
|
||||
totalMs}` in milliseconds. `elapsedMs` remains total elapsed wall time; source
|
||||
frame age must still be calculated from the camera's frame arrival time.
|
||||
|
||||
Tests run the real models without document, Image, canvas, fetch, process,
|
||||
Buffer or host Node imports. The local face fixture derives from the already
|
||||
present reference SDK example `C3_180.jpg`; it is never transmitted. Tests check
|
||||
actual positive face detection and 68 points, all supported byte layouts,
|
||||
original-coordinate scaling, concurrent/disposed calls, native buffer reuse,
|
||||
and zero tensors after final disposal. The pad kernel is tested bit-for-bit
|
||||
against original CPU pad across ranks 1–4, dtypes and padding/constants; the
|
||||
real full-model detection and all 68 points are identical with it enabled or
|
||||
disabled. An aspect-preserving two-face composition must reach the actual
|
||||
native-face-quality single-person rejection gate. Tests print timings/counts,
|
||||
never the image or point coordinates.
|
||||
|
||||
Desktop no-DOM VM stage measurements on the same 540×960 portrait reference
|
||||
(two samples per profile): old full/256/no specialization took about 934 ms
|
||||
(detector 730, landmarks 189, snapshot 16). Tiny/160/pad-copy took about 302 ms
|
||||
(detector 188, landmarks 99, snapshot 15), about 3.1× faster. Default model
|
||||
tensors occupy 1082180 bytes (47 tensors), versus full's 2200644 bytes (68).
|
||||
|
||||
The original small face ratio was 0.208, below the H5 near gate of 0.30. With
|
||||
an aspect-preserving crop targeting a valid larger face, tiny/128 can detect
|
||||
one face and 68 points in about 254 ms; however, 128 misses one person in the
|
||||
two-face regression while 160 detects both. Therefore 160 remains the default.
|
||||
Reducing maxSide from 320 to 192 saved only about 24 ms on the eligible portrait;
|
||||
320 is retained for landmark detail. These are desktop CPU observations, not
|
||||
phone performance guarantees. Benchmark flags `--baseline-cpu`, `--max-side=192`
|
||||
and `--input-sizes=160,128` support reproducing the separate comparisons. A zero
|
||||
face result is explicitly flagged by `allSamplesDetected:false`, not a speed win.
|
||||
|
||||
## Explicit WebGL candidate
|
||||
|
||||
`utils/native-face-webgl.js` obtains an owned logical-layer Canvas using the
|
||||
official synchronous `my.createOffscreenCanvas(32,32)` and
|
||||
`getContext('webgl',{enable_flip_y_after_read_pixels:false})`.
|
||||
The host app must enable its documented Skia capability. The adapter injects the
|
||||
actual GL1 context into the bundled TFJS backend; it never forges HAS_WEBGL or
|
||||
float-extension ENV flags. Initialization runs a 16×16 matrix product, a
|
||||
four-channel convolution, numerical readback checks and observed real shader
|
||||
draw/readPixels counters. A missing or readonly instrumentable native API fails
|
||||
explicitly; the adapter does not report GPU success from API names alone.
|
||||
|
||||
The current device candidate is `LOCAL-FACE-20261102-07`. The preceding `03`
|
||||
candidate executed four matrix shader draws on the iPhone, then failed the
|
||||
strict numerical check with `MATMUL_FAILED`; it did not process camera frames.
|
||||
Candidate `04` tried `default`, `packed_byte` (disables float downloads),
|
||||
then `unpacked_byte` (also disables packed shaders). Each attempt runs the same
|
||||
matrix/convolution/readback checks with the original numerical tolerance. A
|
||||
failed attempt releases its backend and tracked GL objects before the next
|
||||
attempt. Only numerical/readback failures permit another profile; missing APIs,
|
||||
context loss and resource errors stop explicitly. There is no CPU fallback.
|
||||
|
||||
All three profiles failed on the device in `04`. The final unpacked byte
|
||||
attempt observed five draws, one byte read, checksum 0 versus expected 2786,
|
||||
244 mismatches and maximum absolute error 22. These aggregate values have an
|
||||
all-zero signature; they do not by themselves prove every output value is zero
|
||||
or identify the cause. Real camera frames were never processed.
|
||||
|
||||
Candidate `05` disables the host's extra readPixels flip using the documented
|
||||
[Taobao context option](https://developer.alibaba.com/docs/doc.htm?articleId=121761&docType=1&treeId=829).
|
||||
A canvas-height-based read-coordinate conversion with a smaller framebuffer can
|
||||
produce zero output in an isolated experiment; that is a testable hypothesis,
|
||||
not a confirmed description of the device implementation. Before TFJS setup,
|
||||
the adapter checks a 2×2 RGBA8 framebuffer with clear/readback, an asymmetric
|
||||
shader pattern, byte-texture sampling and float-texture sampling. Fixed nonzero
|
||||
synthetic inputs and a prefilled destination sentinel distinguish an unchanged
|
||||
typed array from incorrect GPU output. Any failed preflight stops initialization
|
||||
and releases its graphics objects. Passing this preflight does not replace the
|
||||
original matrix/convolution numerical checks, compatibility selection or model
|
||||
warmup.
|
||||
|
||||
On the device, `05` passed clear/readback but failed the asymmetric shader with
|
||||
three mismatches: expected checksum 2244, actual 2040. The actual checksum equals
|
||||
the preceding clear color's checksum. This is consistent with no draw coverage,
|
||||
but does not uniquely distinguish coverage, coordinates, typed-buffer uploads
|
||||
or GL state. Real camera inference still did not start.
|
||||
|
||||
Candidate `06` explicitly initializes drawing state and clears to black before
|
||||
each draw. It first checks a constant-color `drawArrays` pass and then an indexed
|
||||
pass, followed by the original asymmetric shader and byte/float texture tests.
|
||||
It verifies native strategies in order: `standard`, `buffer_copy` (tightly copy
|
||||
a view's bytes into an ArrayBuffer for standard bufferData upload),
|
||||
`framebuffer_y` (compensate viewport/scissor Y only for a bound framebuffer),
|
||||
then `combined`. These are candidates selected by actual numerical checks, not
|
||||
assumptions based on phone model. Only `VALUE_MISMATCH` permits another native
|
||||
strategy; all other failures stop. All four native strategies share one context
|
||||
and release each probe's objects before the next. The TF profiles still create
|
||||
at most three contexts. A selected native strategy must pass every native test,
|
||||
then the unchanged strict matrix/convolution tests and real-model warmup.
|
||||
The source frame freshness limit remains 1500 ms. Device strategy selection,
|
||||
compatibility, speed and automatic capture still need phone acceptance.
|
||||
|
||||
Candidate `06` failed on the device after its standard constant-array draw
|
||||
passed: `nativeInitialStage=constant_indexed`. The later coordinate candidate's
|
||||
black output is not the original failure. Candidate `07` first rebinds the
|
||||
element buffer immediately before indexed draws. If the indexed result still
|
||||
fails while the array draw passed, it verifies a four-vertex triangle strip as
|
||||
an alternative. Strip probes report `constantQuad:passed` and leave
|
||||
`constantIndexed:not_run`; `drawStrategy:quad_strip` identifies the physical
|
||||
method without claiming the native indexed API passed.
|
||||
|
||||
Only the owned quad with uploaded indices `[0,1,2,2,1,3]` and exact
|
||||
`TRIANGLES/6/UNSIGNED_SHORT/offset0` arguments can be converted. Upload bytes
|
||||
are checked within typed-view bounds. Unknown buffers, different signatures,
|
||||
numeric allocations and buffers modified with bufferSubData are refused;
|
||||
deletion invalidates the record. This matches the pinned upstream
|
||||
[quad data](https://raw.githubusercontent.com/tensorflow/tfjs/tfjs-core-v1.7.0/tfjs-core/src/backends/webgl/gpgpu_util.ts)
|
||||
and retains the original tensor checks and model warmup. Native strategies can
|
||||
each add a verified strip attempt, up to eight probes on the same context.
|
||||
This is an experimental device compatibility path, not an assertion that the
|
||||
Taobao indexed API is generally unsupported. Phone success and speed remain
|
||||
unverified.
|
||||
|
||||
After the numerical checks, initialization loads the selected real models and
|
||||
warms both the detector on synthetic portrait black pixels and the landmark
|
||||
network on a synthetic tensor crop. Warmup results are discarded and never
|
||||
count as user face/pose data. Only after the warmup does initialization return
|
||||
`backend:'webgl'`, `gpu.selftest:'passed'` and `gpu.stage:'ready'`. The source
|
||||
frame age and 1500 ms capture gate remain the camera's responsibility.
|
||||
|
||||
The returned `gpu` record contains fixed stage/code/profile enums, booleans,
|
||||
counts and metrics computed only from the fixed synthetic selftest arrays:
|
||||
requested, selftest, stage, code, contextLost, profile, attemptCount,
|
||||
matmulDraws, convDraws, pixelReads, floatReads, byteReads, selftestMs and
|
||||
warmupMs. Each synthetic matrix/convolution record reports actual length,
|
||||
nonfinite/mismatch counts, maximum absolute error, first expected/actual values
|
||||
and expected/actual checksums. The camera caches those synthetic metrics,
|
||||
profile, attempts and read counts only during initialization; later detection
|
||||
results cannot replace them in copied diagnostics. Errors use
|
||||
`NATIVE_FACE_WEBGL_*` codes and the same safe record. Native error strings,
|
||||
renderer strings, image pixels and coordinates do not enter that record. Each
|
||||
detect checks actual context-loss state before and after model work; a lost
|
||||
backend must be retired and rebuilt.
|
||||
|
||||
The startup record also includes the fixed-input `nativeProbe` stage/result,
|
||||
sentinel-change and mismatch counts, expected/actual checksums, read return-kind
|
||||
enum, GL error and framebuffer status. The record also preserves
|
||||
`nativeInitialStage`/`nativeInitialCode`, selected `nativeStrategy`,
|
||||
`constantArrays`/`constantIndexed`, optional vertex/index buffer byte counts and
|
||||
`pixel0` through `pixel3` as big-endian RGBA uint32 values from fixed synthetic
|
||||
input only. TFJS readback state is collected before
|
||||
throwing for a numerical mismatch, so a failing value no longer hides a native
|
||||
GL error. These fields are cached only during initialization and cannot be
|
||||
replaced by real-camera inference results.
|
||||
|
||||
A shared live engine group admits one backend kind at a time. Initialization,
|
||||
model loading, warmup and inference are queued; decoded weights are not reused
|
||||
across a CPU/WebGL switch. Disposal waits for pending work, then releases model
|
||||
tensors, backend programs/textures, the externally supplied GPGPUContext and all
|
||||
remaining tracked GL objects including TFJS 1.7's vertex buffer/shader leftovers.
|
||||
Native cleanup exceptions are isolated so they cannot preserve a busy lock or
|
||||
replace the original inference error.
|
||||
|
||||
```
|
||||
node --test taobao/test/native-face.test.cjs taobao/test/native-face-webgl.test.cjs
|
||||
```
|
||||
|
||||
The WebGL tests run packaged modules with DOM/Node environment names hidden,
|
||||
explicitly supply real headless WebGL1 and abort all network routes. They cover
|
||||
numerical shader/readback, corrupted FLOAT readback followed by packed byte
|
||||
readback, two failed contexts followed by unpacked byte readback, and all three
|
||||
profiles failing closed. Both compatible paths run the real 68-point model and
|
||||
are compared with CPU face boxes, confidence and landmark geometry. They also
|
||||
cover context loss, initialization failure, shared engines, deferred disposal
|
||||
and rebuilding, with zero final
|
||||
tensors and tracked GL objects. Desktop SwiftShader proves the computation and
|
||||
lifecycle paths; it does not establish native Taobao iPhone compatibility or
|
||||
phone inference speed. Those still require the device's actual diagnostics.
|
||||
+6571
File diff suppressed because one or more lines are too long
+70
@@ -0,0 +1,70 @@
|
||||
{
|
||||
"source": "Existing h5/vendor/faceapi (unchanged) plus official upstream tiny 68 model in reference/native-face-models",
|
||||
"upstream": "https://github.com/justadudewhohacks/face-api.js",
|
||||
"build": "node taobao/scripts/build-native-face.cjs",
|
||||
"verify": "node taobao/scripts/build-native-face.cjs --check",
|
||||
"modifications": [
|
||||
"Module-local TFJS registry",
|
||||
"Shadow process and Buffer to keep Node branches inactive",
|
||||
"Node-only require calls replaced with explicit unsupported stubs"
|
||||
],
|
||||
"nodeOnlyStubs": {
|
||||
"crypto": 1,
|
||||
"@tensorflow/tfjs-node": 1,
|
||||
"node-fetch": 1,
|
||||
"util": 1,
|
||||
"fs": 1
|
||||
},
|
||||
"quantizedBytes": 627385,
|
||||
"sourceFiles": [
|
||||
{
|
||||
"path": "h5/vendor/faceapi/models/tiny_face_detector_model-weights_manifest.json",
|
||||
"bytes": 2953,
|
||||
"sha256": "14c60659a31b6b7b1320077171b8f8adcb24ef0e62dde62ce603bcb49a1b49b5"
|
||||
},
|
||||
{
|
||||
"path": "h5/vendor/faceapi/models/tiny_face_detector_model-shard1",
|
||||
"bytes": 193321,
|
||||
"sha256": "b7503ce7df31039b1c43316a9b865cab6a70dd748cc602d3fa28b551503c3871"
|
||||
},
|
||||
{
|
||||
"path": "h5/vendor/faceapi/models/face_landmark_68_model-weights_manifest.json",
|
||||
"bytes": 7889,
|
||||
"sha256": "d30f6cc341009ea4f8223876959289b96576fc54a2615f92da9741ab9c5f0bbc"
|
||||
},
|
||||
{
|
||||
"path": "h5/vendor/faceapi/models/face_landmark_68_model-shard1",
|
||||
"bytes": 356840,
|
||||
"sha256": "4611ef65c87d836d03d684b30eec4d195d8b219fa1dd58fc58945831c6b9299b"
|
||||
},
|
||||
{
|
||||
"path": "reference/native-face-models/face_landmark_68_tiny_model-weights_manifest.json",
|
||||
"bytes": 4441,
|
||||
"sha256": "3c63b8984302c187b218d9ef5aa149ed8c2c7fa3fe54db078614692bc48d153c"
|
||||
},
|
||||
{
|
||||
"path": "reference/native-face-models/face_landmark_68_tiny_model-shard1",
|
||||
"bytes": 77224,
|
||||
"sha256": "b98e9f2f7da76f8a6dda9741a36ed485b224b889d552de2b2c1bb16217f67bfc"
|
||||
},
|
||||
{
|
||||
"path": "h5/vendor/faceapi/face-api.js",
|
||||
"bytes": 859250,
|
||||
"sha256": "24e27b366566d9c871619d4a3dc0187766f054aecd6858fd40a329ec30a57b0b"
|
||||
}
|
||||
],
|
||||
"downloadedSources": [
|
||||
{
|
||||
"file": "face_landmark_68_tiny_model-weights_manifest.json",
|
||||
"source": "https://raw.githubusercontent.com/justadudewhohacks/face-api.js/master/weights/face_landmark_68_tiny_model-weights_manifest.json",
|
||||
"bytes": 4441,
|
||||
"sha256": "3c63b8984302c187b218d9ef5aa149ed8c2c7fa3fe54db078614692bc48d153c"
|
||||
},
|
||||
{
|
||||
"file": "face_landmark_68_tiny_model-shard1",
|
||||
"source": "https://raw.githubusercontent.com/justadudewhohacks/face-api.js/master/weights/face_landmark_68_tiny_model-shard1",
|
||||
"bytes": 77224,
|
||||
"sha256": "b98e9f2f7da76f8a6dda9741a36ed485b224b889d552de2b2c1bb16217f67bfc"
|
||||
}
|
||||
]
|
||||
}
|
||||
Vendored
+2
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user