feat: Implement image fetching and storage system

- Add image-fetcher module for downloading and saving images from various sources.
- Create storage module for managing image files, including downloading, verifying integrity, and cleaning up orphaned files.
- Develop gallery HTML page for displaying images with sorting and filtering options.
- Set up RESTful API routes for image management, including fetching, adding tags, and deleting images.
- Introduce setup script for initializing the database and configuring image sources.
- Implement a batch process for verifying image integrity and cleaning up old images.
- Add setup batch script for easy installation and configuration of the image storage system.

image-sources.json

@@ -0,0 +1,19 @@
+{
+  "sources": [
+    {
+      "name": "Bedroom Exterior",
+      "url": "http://192.168.254.66:8080/",
+      "tags": ["lake", "road"],
+      "enabled": true
+    }
+  ],
+  "fetchInterval": 0.033,
+  "comments": {
+    "sources": "Array of image sources to fetch from",
+    "name": "Human-readable name for the source",
+    "url": "Full URL to the image",
+    "tags": "Array of tags to apply to fetched images (useful for ML training)",
+    "enabled": "Set to true to include this source in fetching",
+    "fetchInterval": "Minutes between fetch cycles. Examples: 0.033 = 2 seconds, 0.05 = 3 seconds, 0.083 = 5 seconds, 1 = 1 minute, 2.5 = 2.5 minutes (default)"
+  }
+}