diff --git a/steps/Visualizer_quick_start_Guide.html b/steps/Visualizer_quick_start_Guide.html deleted file mode 100644 index 53e336a..0000000 --- a/steps/Visualizer_quick_start_Guide.html +++ /dev/null @@ -1,233 +0,0 @@ - - -
- - -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.
-