Add DuckTrack as initial annotation tool; Initial multimodal test

annotation/experiments/sleep_testing/plot_errors.py

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+import csv
+
+import matplotlib.pyplot as plt
+
+
+def plot_from_csv(filename, save_plot=False):
+    durations = []
+    sleep_errors = []
+    busy_sleep_errors = []
+    
+    with open(filename, 'r') as csvfile:
+        reader = csv.DictReader(csvfile)
+        for row in reader:
+            durations.append(float(row['duration']))
+            sleep_errors.append(float(row['sleep_error']))
+            busy_sleep_errors.append(float(row['busy_sleep_error']))
+    
+    plt.figure(figsize=(10, 5))
+    plt.plot(durations, sleep_errors, label='time.sleep()', marker='o')
+    plt.plot(durations, busy_sleep_errors, label='busy_sleep()', marker='x')
+    plt.xlabel('Desired Delay (ms)')
+    plt.ylabel('Average Error (ms)')
+    plt.title('Sleep Accuracy: time.sleep() vs Busy-Wait Loop (macOS)')
+    plt.legend()
+    plt.grid(True)
+    
+    if save_plot:
+        plt.savefig('sleep_accuracy_plot.png', dpi=300)
+        print("Plot saved as sleep_accuracy_plot.png")
+        
+    plt.show()
+
+plot_from_csv('sleep_data.csv', save_plot=True)