diff --git a/steps/Visualizer_quick_start_Guide.html b/steps/Visualizer_quick_start_Guide.html new file mode 100644 index 0000000..53e336a --- /dev/null +++ b/steps/Visualizer_quick_start_Guide.html @@ -0,0 +1,233 @@ + + +
+ + +A high-precision, browser-based tool for visualizing synchronized radar data and video, rebuilt with a modern modular JavaScript architecture.
+Precise alignment of video and radar frames using high-resolution timers.
+Load JSON & Video via buttons or drag & drop. Handles large files efficiently.
+Web Worker + Streaming parser prevent UI freezes with large JSON datasets.
+p5.js renders point clouds, trajectories, speed graph, and details (TTC, ID).
+Color points by SNR, Cluster, etc. Customize TTC risk colors. Filter tracks.
+Full playback control, frame stepping, scroll-to-seek, zoom mode, sidebar, and shortcuts.
+Cache files with IndexedDB for instant reload. Save/Load session state.
+Responsive design, dark/light theme, clear overlays, and intuitive controls.
+Due to browser security with ES Modules, you need a simple local server. Python 3 is recommended.
+Navigate to the "public" folder inside the Main Visualizer folder
+Run `python_check.bat` or `python --version` in terminal. Ensure Python 3.x is in PATH.
+Run `Visualization_Start.bat` or type: - `python -m http.server 8000` in a CMD terminal inside "public" folder. Keep terminal open.
+Incase it doesn't, Go to `http://localhost:8000` (or the URL shown in terminal).
+Use buttons or drag & drop JSON/Video files.
+Use Play/Pause/Stop, slider, arrows, or scroll wheel.
+Use the sidebar (M) for toggles, SNR, TTC colors.
+Space, Arrows, 1-4, T, D, G, Q, etc. for speed.
+