Enhance IMU data visualization and file handling

- Updated `main.py` to include a flag for real GPIO output control.
- Added a new function in `visualise.py` to generate unique file paths for CSV and plot outputs by appending timestamps if the file already exists.
- Modified CSV and plot saving logic to utilize the new unique path function, ensuring no overwriting of existing files.
- Introduced a new image file `imu_quality_20260701_131902.png` and updated the existing `imu_quality.png`.

visualise.py

@@ -5,7 +5,7 @@ import os
 import re
 import sys
 import time
-
+from datetime import datetime
 os.environ.setdefault("MPLCONFIGDIR", "/tmp/matplotlib")
 
 import matplotlib.pyplot as plt
@@ -184,7 +184,21 @@ def write_csv(samples, path):
         writer = csv.DictWriter(f, fieldnames=columns)
         writer.writeheader()
         writer.writerows(samples)
+def unique_path(path):
+    """
+    If path already exists, append timestamp before extension.
+    Example:
+        imu_quality.png -> imu_quality_20260701_123045.png
+    """
+    if not path:
+        return path
 
+    if not os.path.exists(path):
+        return path
+
+    root, ext = os.path.splitext(path)
+    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
+    return "{}_{}{}".format(root, timestamp, ext)
 
 def print_stats(samples):
     if not samples:
@@ -317,11 +331,13 @@ def main():
     print_stats(samples)
 
     if args.csv:
-        write_csv(samples, args.csv)
-        print("Saved CSV to {}".format(args.csv))
-
-    plot_samples(samples, output=args.output, show=not args.no_show)
+        csv_path = unique_path(args.csv)
+        write_csv(samples, csv_path)
+        print("Saved CSV to {}".format(csv_path))
 
+    output_path = unique_path(args.output)
+    plot_samples(samples, output=output_path, show=not args.no_show)
 
 if __name__ == "__main__":
     main()
+# python3 visualise.py --port /dev/ttyUSB0 --baud 115200 --seconds 10 --csv imu_data.csv