# Extract points and heading headings = [] for pt in gpx.tracks[0].segments[0].points: headings.append(pt.course) # degrees
Within one season, you’ll stop riding by feel alone. You’ll ride by – and drop seconds off your lap time. Have you built a trackday script? Share your GitHub or RaceStudio template in the comments. Let’s verify every meter, together. moto trackday project script auto race inf m verified
corner_meters = [] for peak in peaks: cumulative_dist = 0 for i, pt in enumerate(gpx.tracks[0].segments[0].points): if i <= peak: cumulative_dist += pt.distance_2d(prev_pt) prev_pt = pt corner_meters.append(round(cumulative_dist, 1)) # Extract points and heading headings = [] for pt in gpx
print(f"Auto-detected len(corner_meters) corners at meters: corner_meters") return corner_meters detect_corners("my_lap.gpx") To verify distance, compare GPS against wheel speed sensor (WSS) pulses: Share your GitHub or RaceStudio template in the comments
pip install gpxpy geopy numpy scipy matplotlib pandas Here’s a simplified script skeleton that detects corner entries based on yaw rate (GPS-derived heading change):
import gpxpy import numpy as np from scipy.signal import find_peaks def detect_corners(gpx_file): with open(gpx_file, 'r') as f: gpx = gpxpy.parse(f)