videoanalysis: improve logging for debugging

plugins/objectdetector/package-lock.json

@@ -1,12 +1,12 @@
 {
    "name": "@scrypted/objectdetector",
-   "version": "0.0.122",
+   "version": "0.0.123",
    "lockfileVersion": 2,
    "requires": true,
    "packages": {
       "": {
          "name": "@scrypted/objectdetector",
-         "version": "0.0.122",
+         "version": "0.0.123",
          "license": "Apache-2.0",
          "dependencies": {
             "@scrypted/common": "file:../../common",

plugins/objectdetector/package.json

@@ -1,6 +1,6 @@
 {
    "name": "@scrypted/objectdetector",
-   "version": "0.0.122",
+   "version": "0.0.123",
    "description": "Scrypted Video Analysis Plugin. Installed alongside a detection service like OpenCV or TensorFlow.",
    "author": "Scrypted",
    "license": "Apache-2.0",

plugins/objectdetector/src/main.ts

@@ -327,6 +327,8 @@ class ObjectDetectionMixin extends SettingsMixinDeviceBase<VideoCamera & Camera
 
     const start = Date.now();
     let detections = 0;
+    const currentDetections = new Set<string>();
+    let lastReport = 0;
     try {
       for await (const detected
         of await this.objectDetection.generateObjectDetections(await generator(), {
@@ -348,6 +350,22 @@ class ObjectDetectionMixin extends SettingsMixinDeviceBase<VideoCamera & Camera
         detections++;
         // this.console.warn('dps', detections / (Date.now() - start) * 1000);
 
+        if (!this.hasMotionType) {
+          for (const d of detected.detected.detections) {
+            currentDetections.add(d.className);
+          }
+
+          const now = Date.now();
+          if (now > lastReport + 3000) {
+            const found = [...currentDetections.values()];
+            if (!found.length)
+              found.push('[no detections]');
+            this.console.log(`[${Math.round((now - start) / 100) / 10}s] Detected:`, ...found);
+            currentDetections.clear();
+            lastReport = now;
+          }
+        }
+
         if (detected.detected.detectionId) {
           const jpeg = await detected.videoFrame.toBuffer({
             format: 'jpg',