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feat: harden seat intent and expand HIL coverage

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vee
2026-08-02 05:20:38 +08:00
parent 4aded5c21d
commit 55d0d400cb
62 changed files with 53112 additions and 1748 deletions
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apps/web-console/gesture-control.js
+7 -4
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@@ -1,6 +1,6 @@
const VISION_VERSION = "0.10.14";
const VISION_MODULE = `https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@${VISION_VERSION}/vision_bundle.mjs`;
const VISION_WASM = `https://cdn.jsdelivr.net/npm/@mediapipe/tasks-vision@${VISION_VERSION}/wasm`;
const VISION_MODULE = `/vendor/mediapipe/tasks-vision/${VISION_VERSION}/vision_bundle.mjs`;
const VISION_WASM = `/vendor/mediapipe/tasks-vision/${VISION_VERSION}/wasm`;
const CONNECTIONS = [
[0, 1], [1, 2], [2, 3], [3, 4],
@@ -464,7 +464,7 @@ async function recognizeLoop() {
}
async function loadGestureRuntime() {
const response = await fetch("/api/gesture/runtime", { cache: "no-store" });
const response = await window.CognitiveAgentNetwork.request("/api/gesture/runtime", { cache: "no-store" });
if (!response.ok) throw new Error("无法读取手势能力配置");
state.runtime = await response.json();
state.engine = new GestureEngine(state.runtime.safety, executeGestureAction);
@@ -477,7 +477,10 @@ async function loadRecognizer() {
$("#gestureSafetyText").textContent = "正在加载手势模型…";
const { FilesetResolver, GestureRecognizer } = await import(VISION_MODULE);
const fileset = await FilesetResolver.forVisionTasks(VISION_WASM);
const modelResponse = await fetch("/api/gesture/model", { cache: "force-cache" });
const modelResponse = await window.CognitiveAgentNetwork.request("/api/gesture/model", {
cache: "force-cache",
timeoutMs: 60000,
});
if (!modelResponse.ok) throw new Error("内置手势模型加载失败");
const modelAssetBuffer = new Uint8Array(await modelResponse.arrayBuffer());
state.recognizer = await GestureRecognizer.createFromOptions(fileset, {