Refactor: load panel detection libs from vendor dir

Update PanelDetector to load OpenCV, TensorFlow.js, and COCO-SSD
from local vendor directory instead of importing npm packages.
This ensures the libraries are available after build and avoids
runtime dependency resolution issues.

- Change imports to use ../vendor paths instead of npm packages
- Add caching to prevent reloading libraries
- Add error handling for failed library loads with console warnings
- Update OpenCV loading to handle both default and named exports

panel-detection/detector.js

@@ -97,23 +97,40 @@ export class PanelDetector {
   }
 
   async #loadOpenCV() {
-    const { default: cv } = await import("@techstark/opencv-js");
-    await new Promise((resolve, reject) => {
-      const check = () => {
-        if (cv && cv.Mat) resolve();
-        else if (!cv || cv.readyState === "complete")
-          reject(new Error("OpenCV failed to load"));
-        else setTimeout(check, 50);
-      };
-      check();
-    });
-    return cv;
-  }
+    if (this.#opencv) return this.#opencv;
 
+    try {
+      const cv = await import("../vendor/opencv/opencv.js");
+
+      await new Promise((resolve, reject) => {
+        const check = () => {
+          if (cv && cv.Mat) resolve();
+          else if (cv.readyState === "complete")
+            reject(new Error("OpenCV failed to load"));
+          else setTimeout(check, 50);
+        };
+        check();
+      });
+
+      this.#opencv = cv.default || cv;
+      return this.#opencv;
+    } catch (e) {
+      console.warn("Failed to load OpenCV:", e);
+      return null;
+    }
+  }
   async #loadModel() {
-    const tf = await import("@tensorflow/tfjs");
-    const cocoSsd = await import("@tensorflow-models/coco-ssd");
-    return await cocoSsd.load({ base: "lite_mobilenet_v2" });
+    if (this.#model) return this.#model;
+
+    try {
+      await import("../vendor/tfjs/tf.min.js");
+      const cocoSsd = await import("../vendor/coco-ssd/coco-ssd.min.js");
+      this.#model = await cocoSsd.load({ base: "lite_mobilenet_v2" });
+      return this.#model;
+    } catch (e) {
+      console.warn("Failed to load ML model:", e);
+      return null;
+    }
   }
 
   clear() {

reader.js

@@ -104,18 +104,23 @@ class Reader {
       {
         name: "panel-mode",
         label: "Panel Mode",
-        type: "checkbox",
-        checked: false,
-        onclick: () => {
-          // ← No 'value' parameter for checkbox
+        type: "radio",
+        items: [
+          ["Off", "off"],
+          ["On", "on"],
+        ],
+        onclick: (value) => {
           const renderer = this.view?.renderer;
           if (!renderer?.togglePanelMode) return;
 
-          const isActive = renderer.hasAttribute("panel-mode");
-          if (isActive) {
-            renderer.removeAttribute("panel-mode");
+          if (value === "on") {
+            if (!renderer.hasAttribute("panel-mode")) {
+              renderer.togglePanelMode();
+            }
           } else {
-            renderer.togglePanelMode();
+            if (renderer.hasAttribute("panel-mode")) {
+              renderer.togglePanelMode();
+            }
           }
         },
       },