Update app.py

app.py

@@ -15,8 +15,8 @@ model.to('cuda' if torch.cuda.is_available() else 'cpu')  # Use GPU if available
 # Constants for LBW decision and video processing
 STUMPS_WIDTH = 0.2286  # meters (width of stumps)
 BALL_DIAMETER = 0.073  # meters (approx. cricket ball diameter)
-FRAME_RATE = 20  # Input video frame rate (adjust if known)
-SLOW_MOTION_FACTOR = 3  # For very slow motion (6x slower)
+FRAME_RATE = 20  # Input video frame rate
+SLOW_MOTION_FACTOR = 3  # For very slow motion (3x slower)
 CONF_THRESHOLD = 0.2  # Confidence threshold
 IMPACT_ZONE_Y = 0.85  # Fraction of frame height where impact is likely
 IMPACT_DELTA_Y = 50  # Pixels for detecting sudden y-position change
@@ -125,8 +125,7 @@ def estimate_trajectory(ball_positions, frames, detection_frames):
         f"Trajectory estimated successfully\n"
         f"Pitch point at frame {pitch_frame + 1}: ({pitch_point[0]:.1f}, {pitch_point[1]:.1f})\n"
         f"Impact point at frame {impact_frame + 1}: ({impact_point[0]:.1f}, {impact_point[1]:.1f})\n"
-        f"Detections in frames: {detection_frames}\n"
-        f"Y-coordinate changes: {[abs(y_coords[i] - y_coords[i-1]) for i in range(1, len(y_coords))]}"
+        f"Detections in frames: {detection_frames}"
     )
     return trajectory_2d, pitch_point, impact_point, pitch_frame, impact_frame, detections_3d, trajectory_3d, pitch_point_3d, impact_point_3d, debug_log