diff --git a/README.md b/README.md index 44508b5..86549e6 100644 --- a/README.md +++ b/README.md @@ -123,6 +123,30 @@ exe 的 PE 版本资源 → **用 Godot 直接加载包内 pck 跑 180 帧** → 已对**已发布的 v0.2.2 资产**（重新下载）跑通，并用「篡改包内 contracts/VERSION」与 「期望版本写错」两个负例反向验证过。 +### 关键点帧跨实现一致性验收（T-WIN-021） + +`web-server/src/preprocess/keypoint-codec.ts` 是契约 §2 的**参考实现** +（其 `decodeBinaryFrame` 注释就是「Windows 端参考实现（T-WIN-004）」）。 +Android 已用「金标准字节向量」与它对齐；而**本端的解码器此前只跟自己比过** +（自己编码、自己解码）。这条边由下列脚本补上： + +```bash +GODOT_BIN=/path/to/godot bash build/accept-frame-vectors.sh dist-release/opendance-windows-v0.2.3.zip +# 没有 web 仓 / 未装 node_modules 时：... --skip-regen +``` + +1. 用**参考实现**（`npm run vectors:frame`）重新生成向量，与仓库锁定的 + `build/integration/frame-vectors.json` 比对 —— 参考实现变了却不同步向量，这里就会失败； +2. 用**包内 pck** 解码同一批字节，与参考解码结果**逐值精确比对** + （float32 表示精度内）：实测 **12 用例 / 396 点 / 0 差异**； +3. 附带比对两边编码器：本端不是发送方（`encode()` 只用于自测），差异只归类记录， + 但**必须只出现在「量化前恰好 .5」的用例上**。 + +> 已测量并归类的一处差异：JS `Math.round` 与 Kotlin `Math.round` 对 `-2.5` 取 `-2` +> （半数朝 +∞），而本端 `roundi` 取 `-3`（半数远离零）。生产发送方是 Android， +> 与参考实现一致；Windows 是接收方，`encode()` 不在生产链路上。 +> 详见 [`tasks/021-frame-vector-conformance.md`](tasks/021-frame-vector-conformance.md)。 + ### WebSocket 契约一致性验收（T-WIN-020） `tests/test_pose_server.gd` 用的是**同引擎内的客户端**，而真实对端是 diff --git a/build/accept-frame-vectors.sh b/build/accept-frame-vectors.sh new file mode 100755 index 0000000..c871e07 --- /dev/null +++ b/build/accept-frame-vectors.sh @@ -0,0 +1,152 @@ +#!/usr/bin/env bash +# ============================================================ +# OpenDance Studio Windows 客户端 —— **关键点帧跨实现一致性验收**（T-WIN-021） +# +# opendance-web 的 TypeScript 参考实现（契约 §2）× 发布包里的 GDScript 解码器 +# +# 为什么需要它：`web-server/src/preprocess/keypoint-codec.ts` 是契约 §2 的 +# **参考实现**（其 `decodeBinaryFrame` 的注释就是「Windows 端参考实现（T-WIN-004）」）。 +# Android 的 Kotlin 实现已用「金标准字节向量」与它对齐；而**本端的 GDScript 解码器 +# 此前只跟自己比过**（自己编码、自己解码）。本脚本把这条缺失的边补上： +# +# 1. 用**参考实现**重新生成向量，与仓库里锁定的 `build/integration/frame-vectors.json` +# 比对 —— 参考实现一旦变化，这里必须失败（否则"锁定"就没有意义）； +# 2. 用**发布包里的 pck** 解码同一批字节，与参考实现的解码结果**逐值精确比对** +# （float32 表示精度内）； +# 3. 附带比对两边**编码器**的字节：本端不是发送方（`encode()` 只用于自测）， +# 因此只归类记录 —— 但差异必须**只出现在量化前恰好落在 .5 的用例**上。 +# +# 用法： +# GODOT_BIN=/path/to/godot bash build/accept-frame-vectors.sh dist-release/opendance-windows-v0.2.3.zip +# ... --skip-regen # 不重新生成向量（没有 web 仓 / 没装 node_modules 时） +# +# 环境变量： +# WEB_REPO opendance-web 仓库路径（默认 ../opendance-web） +# WORK_DIR 工作目录（默认 mktemp -d） +# ============================================================ +set -uo pipefail + +PROJECT_DIR="$(cd "$(dirname "$0")/.." && pwd)" +cd "$PROJECT_DIR" + +TARGET="${1:-}" +SKIP_REGEN="" +for arg in "$@"; do + case "$arg" in + --skip-regen) SKIP_REGEN=1 ;; + "$TARGET") : ;; + *) echo "✗ 未知参数：$arg（只支持 --skip-regen）" >&2; exit 2 ;; + esac +done + +WEB_REPO="${WEB_REPO:-$PROJECT_DIR/../opendance-web}" +WORK_DIR="${WORK_DIR:-$(mktemp -d)}" +mkdir -p "$WORK_DIR" +VECTORS="$PROJECT_DIR/build/integration/frame-vectors.json" +REPORT="$WORK_DIR/frame-vectors-report.json" + +FAILED=0 +log() { printf '\033[1;34m[accept-fv]\033[0m %s\n' "$*"; } +fail() { printf '\033[1;31m[accept-fv] ✗ %s\033[0m\n' "$*" >&2; FAILED=1; } + +if [ -z "$TARGET" ] || [ ! -e "$TARGET" ]; then + echo "用法：GODOT_BIN=... bash build/accept-frame-vectors.sh <发布包 zip 或已解压目录> [--skip-regen]" >&2 + exit 2 +fi +[ -f "$VECTORS" ] || { fail "找不到锁定的向量文件：$VECTORS"; exit 1; } + +# ---- 1. 用参考实现重新生成并比对（确保向量仍与参考实现一致）---- +log "参考实现：$WEB_REPO/web-server/src/preprocess/keypoint-codec.ts" +if [ -n "$SKIP_REGEN" ]; then + log "跳过重新生成（--skip-regen）" +elif [ ! -f "$WEB_REPO/web-server/scripts/gen-frame-vectors.mts" ]; then + fail "找不到生成脚本（$WEB_REPO/web-server/scripts/gen-frame-vectors.mts）—— 用 WEB_REPO 指定仓库，或 --skip-regen" +elif [ ! -d "$WEB_REPO/web-server/node_modules" ]; then + fail "web 仓没有 node_modules，无法运行参考实现（先在那边 npm install，或 --skip-regen）" +else + log "用参考实现重新生成向量并比对…" + REGEN="$WORK_DIR/frame-vectors.regen.json" + if ( cd "$WEB_REPO/web-server" && timeout 300 npx vite-node scripts/gen-frame-vectors.mts -- --out "$REGEN" >"$WORK_DIR/regen.log" 2>&1 ); then + if diff -q "$VECTORS" "$REGEN" >/dev/null; then + echo " ✓ 锁定的向量与参考实现重新生成的结果逐字节一致" + else + fail "锁定的向量已与参考实现不一致（参考实现变了却没同步向量）" + diff "$VECTORS" "$REGEN" | head -20 | sed 's/^/ /' + fi + else + fail "参考实现生成失败（见 $WORK_DIR/regen.log）" + tail -10 "$WORK_DIR/regen.log" | sed 's/^/ /' + fi +fi + +# ---- 2. 取包内 pck ---- +if [ -f "$TARGET" ]; then + log "解压发布包…" + if ! unzip -qq -o "$TARGET" -d "$WORK_DIR" 2>/dev/null; then + command -v 7z >/dev/null 2>&1 && 7z x -y -o"$WORK_DIR" "$TARGET" >/dev/null || { fail "解压失败"; exit 1; } + fi + PACKAGE_DIR="$(find "$WORK_DIR" -maxdepth 1 -mindepth 1 -type d | head -1)" +else + PACKAGE_DIR="$TARGET" +fi +PCK="$PACKAGE_DIR/OpenDance.pck" +[ -f "$PCK" ] || { fail "找不到包内 pck：$PCK"; exit 1; } +log "包内 pck：$PCK" + +GODOT_BIN="${GODOT_BIN:-}" +if [ -z "$GODOT_BIN" ]; then + for candidate in godot godot4 Godot; do + command -v "$candidate" >/dev/null 2>&1 && { GODOT_BIN="$candidate"; break; } + done +fi +[ -n "$GODOT_BIN" ] || { fail "未找到 Godot（用 GODOT_BIN=<路径> 指定，需 4.7.x）"; exit 1; } + +# ---- 3. 用包内解码器逐值比对 ---- +log "包内解码器 × 参考向量…" +PROBE_LOG="$WORK_DIR/probe.log" +rm -f "$REPORT" +if timeout 300 "$GODOT_BIN" --headless --main-pack "$PCK" \ + --script "$PROJECT_DIR/build/integration/probe-frame-vectors.gd" \ + -- --vectors "$VECTORS" --report "$REPORT" >"$PROBE_LOG" 2>&1; then + PROBE_OK=1 +else + PROBE_OK=0 +fi +grep -vE "^Godot Engine|^$" "$PROBE_LOG" | sed 's/^/ /' +[ "$PROBE_OK" = 1 ] || fail "解码比对未通过" + +# ---- 4. 报告核对 ---- +if [ ! -f "$REPORT" ]; then + fail "探针没有产出报告（$REPORT）" + exit 1 +fi +log "报告核对：" +node -e ' +const fs = require("node:fs"); +const r = JSON.parse(fs.readFileSync(process.argv[1], "utf8")); +let bad = 0; +const say = (ok, text) => { console.log(` ${ok ? "✓" : "✗"} ${text}`); if (!ok) bad = 1; }; +say(r.cases > 0 && r.decodedCases === r.cases, `解码用例 ${r.decodedCases}/${r.cases}`); +say(r.pointsCompared === r.cases * 33, `逐点比对 ${r.pointsCompared} 个（期望 ${r.cases * 33}）`); +say(Array.isArray(r.decodeFailures) && r.decodeFailures.length === 0, + `解码差异 ${r.decodeFailures?.length ?? "?"} 项（必须为 0）`); +if (r.decodeFailures?.length) for (const f of r.decodeFailures.slice(0, 5)) console.log(` · ${f.case}：${f.problem}`); +// 编码器差异：本端不是发送方（只用于自测），但差异必须只出现在「量化前恰好 .5」的用例上 +const diffs = r.encodeDifferences ?? []; +const unexpected = diffs.filter((d) => !d.halfValueInput); +say(unexpected.length === 0, + `编码器差异 ${diffs.length} 项，全部属于「量化前恰好 .5」的取整边界：${diffs.map((d) => d.case + "(" + d.diffBytes + "B)").join("、") || "无"}`); +if (unexpected.length) for (const d of unexpected) console.log(` · 非预期差异：${d.case}（${d.diffBytes} 字节）`); +process.exit(bad); +' "$REPORT" || fail "报告核对未通过" + +echo "" +if [ "$FAILED" -ne 0 ]; then + echo "============================================================" + echo " 关键点帧跨实现一致性验收失败（工作目录：$WORK_DIR）" + echo "============================================================" + exit 1 +fi +echo "============================================================" +echo " 关键点帧跨实现一致性验收全部通过（工作目录：$WORK_DIR）" +echo "============================================================" diff --git a/build/integration/frame-vectors.json b/build/integration/frame-vectors.json new file mode 100644 index 0000000..2fb4a00 --- /dev/null +++ b/build/integration/frame-vectors.json @@ -0,0 +1,7295 @@ +{ 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b/build/integration/probe-frame-vectors.gd @@ -0,0 +1,211 @@ +extends SceneTree + +## 关键点帧跨实现一致性探针（T-WIN-021） +## +## 用**发布包里的** `KeypointFrame` 解码由 opendance-web 参考实现（TypeScript） +## 生成的 239 字节向量，逐值比对。用法（由 build/accept-frame-vectors.sh 调用）： +## +## godot --headless --main-pack <包内 OpenDance.pck> \ +## --script /绝对路径/build/integration/probe-frame-vectors.gd \ +## -- --vectors /绝对路径/frame-vectors.json --report /tmp/frame-vectors-report.json +## +## 为什么需要：`web-server/src/preprocess/keypoint-codec.ts` 是契约 §2 的 +## **参考实现**（其 `decodeBinaryFrame` 的注释就是「Windows 端参考实现（T-WIN-004）」）， +## Android 的 Kotlin 实现已用「金标准字节向量」与它对齐；而**本端的 GDScript 解码器 +## 此前从未与它逐值比对过** —— 只有本端自己的单测（自己编码、自己解码）。 +## +## 比对口径（重要）： +## * `flags` / `frame_id`：**精确相等**； +## * 坐标与置信度：本端把点存进 `PackedVector3Array`、置信度存进 `PackedFloat32Array`， +## 即 **float32**；参考实现是 float64。因此先把期望值收敛到 float32 +## （GDScript 里借 `Vector3(...)` / `PackedFloat32Array([...])` 天然完成） +## 再比**精确相等** —— 这比用容差更严格，且把差异限定在「表示精度」上。 +## * 另附：用本端 `encode()` 对向量里的 `inputPoints` 重新编码，与参考字节比对。 +## 本端**不是发送方**（encode 只用于自测），因此这一项差异记为「已记录差异」 +## 而非失败；但差异必须**只出现在取整边界用例**上，否则说明别处也有问题。 + +const KeypointFrame = preload("res://src/net/keypoint_frame.gd") + +var _vectors_path := "" +var _report_path := "" +var _done := false + + +func _initialize() -> void: + var args := OS.get_cmdline_user_args() + var i := 0 + while i < args.size(): + match args[i]: + "--vectors": + _vectors_path = args[i + 1]; i += 2 + "--report": + _report_path = args[i + 1]; i += 2 + _: + i += 1 + _run() + + +func _process(_delta: float) -> bool: + return _done + + +func _hex_to_bytes(hex: String) -> PackedByteArray: + var out := PackedByteArray() + out.resize(hex.length() / 2) + for i in out.size(): + out[i] = hex.substr(i * 2, 2).hex_to_int() + return out + + +## 把 float64 收敛成 float32：GDScript 的 Vector3 分量 / PackedFloat32Array 都是 float32 +static func _to_f32(value: float) -> float: + return Vector3(value, 0.0, 0.0).x + + +func _run() -> void: + if _vectors_path == "" or not FileAccess.file_exists(_vectors_path): + print("[frame-vectors] ✗ 找不到向量文件：%s" % _vectors_path) + quit(2) + return + var file := FileAccess.open(_vectors_path, FileAccess.READ) + var parsed: Variant = JSON.parse_string(file.get_as_text()) + file.close() + if typeof(parsed) != TYPE_DICTIONARY: + print("[frame-vectors] ✗ 向量文件不是 JSON 对象") + quit(2) + return + + var cases: Array = parsed.get("cases", []) + print("[frame-vectors] 参考实现：%s" % parsed.get("source", "(未标注)")) + print("[frame-vectors] 用例 %d 个" % cases.size()) + + var decoded_cases := 0 + var decode_failures: Array = [] + var encode_differences: Array = [] + var total_points := 0 + + for c in cases: + var name := str(c.get("name", "(未命名)")) + var bytes := _hex_to_bytes(str(c.get("hex", ""))) + var expect_frame_id := int(c.get("frameId", 0)) + var expect_flags := int(c.get("flags", 0)) + var expect_points: Array = c.get("points", []) + + # ---- 校验 + 解码 ---- + var problem := KeypointFrame.validate(bytes) + if problem != "": + decode_failures.append({"case": name, "problem": "validate: " + problem}) + continue + var frame = KeypointFrame.decode(bytes) + if frame == null: + decode_failures.append({"case": name, "problem": "decode 返回 null"}) + continue + decoded_cases += 1 + + if int(frame.frame_id) != expect_frame_id: + decode_failures.append({ + "case": name, + "problem": "frame_id 期望 %d，实际 %d" % [expect_frame_id, frame.frame_id], + }) + if int(frame.flags) != expect_flags: + decode_failures.append({ + "case": name, + "problem": "flags 期望 %d，实际 %d" % [expect_flags, frame.flags], + }) + + # ---- 逐点比对（float32 精确相等）---- + for i in expect_points.size(): + total_points += 1 + var e: Array = expect_points[i] + var want := Vector3(_to_f32(float(e[0])), _to_f32(float(e[1])), _to_f32(float(e[2]))) + var want_conf := PackedFloat32Array([float(e[3])])[0] + var got: Vector3 = frame.points[i] + var got_conf: float = frame.confidence[i] + if got != want: + decode_failures.append({ + "case": name, + "problem": "点 %d 坐标不符：期望 %s，实际 %s" % [i, str(want), str(got)], + }) + elif got_conf != want_conf: + decode_failures.append({ + "case": name, + "problem": "点 %d 置信度不符：期望 %s，实际 %s" % [i, str(want_conf), str(got_conf)], + }) + + # ---- 附带：本端 encode() 与参考字节的差异（本端不是发送方，记录不判死）---- + # 必须用 **f32InputPoints**（已收敛到 float32）来重编码：本端点/置信度就是 float32， + # 若拿 float64 的原始输入比，差异会同时来自「输入精度」与「取整规则」，无法归因。 + var input_points: Array = c.get("f32InputPoints", c.get("inputPoints", [])) + # 与**同输入**基准比：`f32Hex` 是用 f32InputPoints 编出来的字节。 + # 拿 `hex`（float64 输入）比会把「输入精度差异」也算进来（第一版就是这么误判的： + # 「正数恰好 .5」整例 99 字节不同，其实只是输入从 float64 收敛到 float32 后的量化差）。 + var baseline_hex := str(c.get("f32Hex", c.get("hex", ""))) + var baseline := _hex_to_bytes(baseline_hex) + if input_points.size() == 33: + var pts := PackedVector3Array() + var conf := PackedFloat32Array() + pts.resize(33) + conf.resize(33) + for i in 33: + var p: Array = input_points[i] + pts[i] = Vector3(float(p[0]), float(p[1]), float(p[2])) + conf[i] = float(p[3]) + var re_encoded := KeypointFrame.encode(expect_frame_id, pts, conf, expect_flags) + var diff_offsets: Array = [] + for i in re_encoded.size(): + if re_encoded[i] != baseline[i]: + diff_offsets.append(i) + if diff_offsets.size() > 0: + # 归类：本端 `roundi` 对「.5」的进位方向与 JS `Math.round` 不同 + # （-2.5：GDScript → -3，JS → -2）。**同输入**下，这类差异只可能 + # 出现在量化前恰好落在 X.5 的用例上 —— 这里直接**算**出来， + # 而不是靠用例名猜（第一版按名字猜，漏判了「置信度 128/255」， + # 因为那一例的 y 也取了 -0.5）。 + var has_half := false + for p in input_points: + for value in [p[0], p[1], p[2]]: + var scaled: float = float(value) * 32767.0 + var a := absf(scaled) + if absf(a - floorf(a) - 0.5) < 1e-9: + has_half = true + var c_scaled: float = float(p[3]) * 255.0 + var ac := absf(c_scaled) + if absf(ac - floorf(ac) - 0.5) < 1e-9: + has_half = true + encode_differences.append({ + "case": name, + "diffBytes": diff_offsets.size(), + "halfValueInput": has_half, + }) + + var report := { + "source": parsed.get("source", ""), + "cases": cases.size(), + "decodedCases": decoded_cases, + "pointsCompared": total_points, + "decodeFailures": decode_failures, + "encodeDifferences": encode_differences, + } + if _report_path != "": + var out := FileAccess.open(_report_path, FileAccess.WRITE) + if out != null: + out.store_string(JSON.stringify(report, " ")) + out.close() + + print("[frame-vectors] 解码用例 %d/%d，比对点 %d 个" % [decoded_cases, cases.size(), total_points]) + if decode_failures.is_empty(): + print("[frame-vectors] ✓ 解码结果与 Web 参考实现逐值一致（float32 精确相等）") + else: + print("[frame-vectors] ✗ 解码差异 %d 项：" % decode_failures.size()) + for f in decode_failures.slice(0, 8): + print(" · %s：%s" % [f["case"], f["problem"]]) + if encode_differences.is_empty(): + print("[frame-vectors] ✓ 本端 encode() 与参考字节完全一致") + else: + print("[frame-vectors] · 本端 encode() 与参考字节的差异（仅记录，本端非发送方）：") + for d in encode_differences: + print(" · %s：%d 字节不同（量化前存在 .5 值=%s）" % [ + d["case"], d["diffBytes"], str(d.get("halfValueInput", false))]) + + _done = true + quit(1 if decode_failures.size() > 0 else 0) diff --git a/build/integration/probe-frame-vectors.gd.uid b/build/integration/probe-frame-vectors.gd.uid new file mode 100644 index 0000000..f0f1524 --- /dev/null +++ b/build/integration/probe-frame-vectors.gd.uid @@ -0,0 +1 @@ +uid://chtushi1p64ng diff --git a/build/package-release.sh b/build/package-release.sh index 48b2079..00ada7d 100755 --- a/build/package-release.sh +++ b/build/package-release.sh @@ -180,6 +180,7 @@ echo "分发：上传 $NAME.zip 与 SHA256SUMS 两个资产；用户下载后" echo " sha256sum -c SHA256SUMS && unzip $NAME.zip 即可直接运行 OpenDance.exe。" echo "" echo "下一步（文档 §7.5 / §7.6：发布前必须做的三条产物级验收）：" -echo " GODOT_BIN=/path/to/godot bash build/accept-release.sh $ZIP # 产物自证" -echo " GODOT_BIN=/path/to/godot bash build/accept-ws.sh $ZIP # WebSocket 契约一致性" +echo " GODOT_BIN=/path/to/godot bash build/accept-release.sh $ZIP # 产物自证" +echo " GODOT_BIN=/path/to/godot bash build/accept-ws.sh $ZIP # WebSocket 契约一致性" +echo " GODOT_BIN=/path/to/godot bash build/accept-frame-vectors.sh $ZIP # 关键点帧跨实现一致性" echo " API_BASE=http://127.0.0.1:3000 GODOT_BIN=... bash build/accept-integration.sh $ZIP # 跨端（需已部署服务端）" diff --git a/project.yaml b/project.yaml index 093674e..a824142 100644 --- a/project.yaml +++ b/project.yaml @@ -106,6 +106,10 @@ tasks: file: tasks/020-ws-contract-conformance.md scope: WebSocket 契约一致性验收（Node 独立客户端 × 发布包内 PoseServer）+ 故意不合规的负例服务端 status: done + - id: T-WIN-021 + file: tasks/021-frame-vector-conformance.md + scope: 关键点帧跨实现一致性（Web 参考实现 × 包内 GDScript 解码器，12 用例 / 396 点逐值比对） + status: done deliverable: artifact: opendance-windows-v0.2.3.zip diff --git a/tasks/021-frame-vector-conformance.md b/tasks/021-frame-vector-conformance.md new file mode 100644 index 0000000..8104ea0 --- /dev/null +++ b/tasks/021-frame-vector-conformance.md @@ -0,0 +1,86 @@ +# T-WIN-021：关键点帧跨实现一致性（Web 参考实现 × 包内 GDScript 解码器） + +- **状态**: done +- **依赖**: T-WIN-004（关键点帧解码）/ T-WEB-006（动作内部标准） +- **文档**: v1.6 §7.6.2 +- **契约**: `websocket-keypoints 0.2.0` §2 + +## 为什么需要 + +`opendance-web/web-server/src/preprocess/keypoint-codec.ts` 是契约 §2 的**参考实现** +（它的 `encodeBinaryFrame` 注释就是「Android 端参考实现」， +`decodeBinaryFrame` 注释是「Windows 端参考实现（T-WIN-004）」）： + +* **Android ↔ Web** 已经用「金标准字节向量」对齐（`KeypointFrameTest.goldenVectorMatchesWebImplementation`）； +* **Windows 的解码器此前只跟自己比过** —— 自己编码、自己解码， + 两个方向用同一份错误假设也能一直绿。这条边是本轮补的。 + +## 实现 + +| 文件 | 角色 | +|--|--| +| `opendance-web/web-server/scripts/gen-frame-vectors.mts`（新增） | 用**参考实现**生成向量：12 个用例的字节（`hex`）＋参考解码结果（`points`，float64）＋ float32 输入基准（`f32InputPoints` / `f32Hex`） | +| `opendance-web/web-server/test/keypoint-frame-codec.spec.ts`（新增，7 项） | 把参考实现对其他两端的**承诺显式钉住**：i16 最小值边界、**取整规则**、置信度阈值 128、u32 frame_id、flags 掩码、非法帧拒绝、随机输入往返 | +| `opendance-windows/build/integration/frame-vectors.json`（锁定） | 由参考实现生成并入库的向量（比对基准） | +| `opendance-windows/build/integration/probe-frame-vectors.gd`（新增） | 用**包内** `KeypointFrame` 解码同一批字节并逐值比对，产出 JSON 报告 | +| `opendance-windows/build/accept-frame-vectors.sh`（新增） | 编排：**重新生成并比对向量** → 解包 → 包内解码比对 → 报告核对 | + +### 比对口径（关键） + +* `flags` / `frame_id`：**精确相等**； +* 坐标与置信度：本端点存进 `PackedVector3Array`、置信度存进 `PackedFloat32Array`， + 即 **float32**；参考实现是 float64。因此先把期望值收敛到 float32 + （GDScript 里借 `Vector3(...)` / `PackedFloat32Array([...])` 天然完成）再比**精确相等** + —— 比用容差更严格，并把差异限定在「表示精度」这一点上。 + +## 实测（已发布的 v0.2.3 资产重新下载后跑） + +``` +[accept-fv] 用参考实现重新生成向量并比对… + ✓ 锁定的向量与参考实现重新生成的结果逐字节一致 +[accept-fv] 包内解码器 × 参考向量… + [frame-vectors] 用例 12 个；解码用例 12/12，比对点 396 个 + [frame-vectors] ✓ 解码结果与 Web 参考实现逐值一致（float32 精确相等） + ✓ 解码差异 0 项（必须为 0） + ✓ 逐点比对 396 个（期望 396） + ✓ 编码器差异 1 项，全部属于「量化前恰好 .5」的取整边界 + 关键点帧跨实现一致性验收全部通过 +``` + +覆盖的边界：`i16` 最小值 `-32768`（`-32768/32767`，必须是 `0x8000` 而不是被夹成 `-32767`）、 +`i16` 最大值、`±1` 全量程、置信度 `0 / 128 / 255`、`flags` 低 3 位组合、 +`frame_id` 的 `0xFFFFFFFF` 与 `0x80000000`、以及取整边界。 + +## 一处**已测量并归类**的差异（非缺陷） + +本端 `KeypointFrame.encode()` 与参考编码器在**一个**用例上差 33 字节： + +| | 取整方式 | `-X.5` 的行为 | +|--|--|--| +| JS 参考实现（`Math.round`） | 半数朝 **+∞** | `-2.5 → -2` | +| **Android（生产发送方，`Math.round`）** | 同上 | `-2.5 → -2` ✅ 与参考一致 | +| Windows `KeypointFrame.encode()`（`roundi`，半数远离零） | | `-2.5 → -3` ❌ 差 1 LSB | + +**影响**：Windows 是**接收方**，生产链路里不调用 `encode()`（它只用于本仓自测与协议回归）， +因此对产品无影响。`accept-frame-vectors.sh` 因此把编码差异记为「归类记录」， +但**硬性要求差异只能出现在「量化前恰好落在 .5」的用例上** —— 若哪天出现在别处， +就说明还有别的问题。若将来 Windows 需要成为发送方，把 `roundi` 换成 +`floor(x + 0.5)` 即可与参考实现完全一致。 + +## 踩坑记录（两处"看起来通过、其实没测到"） + +1. **期望值写成了输入值**：第一版生成器把「喂进编码器的原始点」当成 `points` 写进向量， + 于是比对变成了「比编码量化」而不是「比两个解码器是否一致」。 + 靠抽查数值（`-2.5/32767` 的原值出现在解码结果里）才发现。 + → 向量里现在同时有 `inputPoints`（原始）、`f32InputPoints` / `f32Hex`（同输入基准） + 与 `points`（**参考解码结果**），并各自注明用途。 +2. **拿不同输入的字节做比较**：编码器比对一开始用 `hex`（float64 输入编出来的）当基准， + 于是「正数恰好 .5」整例 99 字节不同 —— 实际只是输入从 float64 收敛到 float32 的量化差， + 与取整规则无关。改用 `f32Hex`（**同输入**基准）后，差异收敛到唯一一个真正的取整边界用例。 + → 教训：跨实现比对必须先统一**输入**，否则差异无法归因。 + +## 未覆盖 + +* 三端矩阵的另外两条边已有证据：Android ↔ Web（金标准向量，Android 仓 JVM 测试）、 + Android → Windows（T-WIN-020 的实时链路验收，真实 WebSocket 发 239 字节帧）； +* 真机端到端（相机 → MediaPipe → 编码 → Wi-Fi → Windows 解码 → 驱动模型）仍需设备实测。