Issues Fixed in 'driving_data.py' and 'run_dataset.py' Files

driving_data.py

@@ -2,6 +2,7 @@
 import random
 import numpy as np
 
+
 xs = []
 ys = []
 
@@ -16,7 +17,15 @@
         #the paper by Nvidia uses the inverse of the turning radius,
         #but steering wheel angle is proportional to the inverse of turning radius
         #so the steering wheel angle in radians is used as the output
-        ys.append(float(line.split()[1]) * 3.14159265 / 180)
+        # Assuming the value you want to convert is in line.split()[1]
+        raw_value = line.split()[1]
+
+        # Extract only the numeric part (remove the comma and year)
+        numeric_part = raw_value.split(',')[0]
+
+        # Convert the numeric part to a float
+        ys.append(float(numeric_part) * 3.14159265 / 180)
+
 
 #get number of images
 num_images = len(xs)
@@ -53,4 +62,4 @@ def LoadValBatch(batch_size):
         x_out.append(cv2.resize(cv2.imread(val_xs[(val_batch_pointer + i) % num_val_images])[-150:], (200, 66)) / 255.0)
         y_out.append([val_ys[(val_batch_pointer + i) % num_val_images]])
     val_batch_pointer += batch_size
-    return x_out, y_out
+    return x_out, y_out

run_dataset.py

@@ -4,6 +4,7 @@
 import cv2
 from subprocess import call
 import os
+import time
 
 #check if on windows OS
 windows = False
@@ -36,4 +37,6 @@
     cv2.imshow("steering wheel", dst)
     i += 1
 
-cv2.destroyAllWindows()
+    time.sleep(0.04)
+
+cv2.destroyAllWindows()