def feature_matrix2(trips, n=None):
velocities = [compute_velocity(trip) for trip in trips]
speeds = [compute_scalar(velocity) for velocity in velocities]
maxlen = len(max(speeds, key=len)) if n is None else n
print("maxlen:", maxlen)
res = np.array([np.fft.fft(s, n=maxlen) for s in speeds])
print(res.shape)
return res
def feature_matrix2(trips, n=None):
velocities = [compute_velocity(trip) for trip in trips]
speeds = [compute_scalar(velocity) for velocity in velocities]
maxlen = len(max(speeds, key=len)) if n is None else n
print("maxlen:", maxlen)
res = np.array([np.fft.fft(s, n=maxlen) for s in speeds])
print(res.shape)
return res
def feature_vector(trip):
velocity = compute_velocity(trip)
velocity5 = n_step_diff(trip, n=5)
acceleration = np.gradient(velocity)
acceleration5 = np.gradient(velocity5)
cos_dt = [cos_between(a, np.array([1, 0])) for a in acceleration5]
angle_dt = [np.arccos(c) for c in cos_dt]
speed = compute_scalar(velocity)
corner_features = corners_features(velocity)
acc_features = acceleration_features(velocity, angle_dt, cos_dt, speed)
return np.hstack((corner_features, acc_features))
def feature_vector(trip):
velocity = compute_velocity(trip)
velocity5 = n_step_diff(trip, n=5)
acceleration = np.gradient(velocity)
acceleration5 = np.gradient(velocity5)
cos_dt = [cos_between(a, np.array([1, 0])) for a in acceleration5]
angle_dt = [np.arccos(c) for c in cos_dt]
speed = compute_scalar(velocity)
corner_features = corners_features(velocity)
acc_features = acceleration_features(velocity, angle_dt, cos_dt, speed)
return np.hstack((corner_features, acc_features))
def main():
trips = read_trips(sys.argv[1])
velocities = [compute_velocity(trip) for trip in trips]
speeds = [compute_scalar(v) for v in velocities]
features = np.array([corners_features(v, s) for v, s in zip(velocities, speeds)])
#print(features)
n = random.randint(0, 199)
n = 29
print("Trip number is:", n)
(corners, angles) = identify_corners(velocities[n])
trip = trips[n]
import matplotlib.pyplot as plt
plt.scatter(trips[n][:,0], trips[n][:,1])#, c=speeds[n])
for start, end in corners:
t = trip[list(range(start, end+1))]
plt.plot(t[:,0], t[:,1], 'r', linewidth=4.0)
plt.axis('equal')
plt.show()
def main():
trips = read_trips(sys.argv[1])
velocities = [compute_velocity(trip) for trip in trips]
speeds = [compute_scalar(v) for v in velocities]
features = np.array(
[corners_features(v, s) for v, s in zip(velocities, speeds)])
#print(features)
n = random.randint(0, 199)
n = 29
print("Trip number is:", n)
(corners, angles) = identify_corners(velocities[n])
trip = trips[n]
import matplotlib.pyplot as plt
plt.scatter(trips[n][:, 0], trips[n][:, 1]) #, c=speeds[n])
for start, end in corners:
t = trip[list(range(start, end + 1))]
plt.plot(t[:, 0], t[:, 1], 'r', linewidth=4.0)
plt.axis('equal')
plt.show()
def feature_vector(trip):
velocity = compute_velocity(trip)
speed = compute_scalar(velocity)
corner_features = corners_features(velocity)
acc_features = acceleration_features(speed)
return np.hstack((corner_features, acc_features))
def feature_vector(trip):
velocity = compute_velocity(trip)
speed = compute_scalar(velocity)
corner_features = corners_features(velocity)
acc_features = acceleration_features(speed)
return np.hstack((corner_features, acc_features))
