Exemplo n.º 1
0
    for key in fx.keys():
        fxd[key] = []
            #fx[key] = differentiate(robot_data[key],robot_data['t'])
        for i in range(len(fx['t']))[1:]:
            if key!='t':
                fxd[key].append((fx[key][i]-fx[key][i-1])/(fx['t'][i]-fx['t'][i-1]))
            else:
                fxd['t'].append((fx['t'][i]+fx['t'][i-1])/2)
    return fxd

parser = argparse.ArgumentParser()
parser.add_argument('-c','--camera',help='Camera data file to convert')
parser.add_argument('-s','--servo',help='Servo data file from Arduino')
args = parser.parse_args()

robot_data = createXYangT(args.camera)
servo_data = create_servo_dict(args.servo)
robot_vel = differentiate(robot_data)
servo_vel = differentiate(servo_data)
robot_acc = differentiate(robot_vel)
servo_acc = differentiate(servo_vel)

#print robot_acc 
#print servo_acc 
ax1 = plt.subplot()
ax2 = ax1.twinx()
ax1.plot(robot_data['t'],robot_data['x'])
#ax2.plot(servo_acc['t'],servo_acc['3'],'r-')
ax2.plot(servo_data['t'],servo_data['3'],'r-')
#ax2.plot(servo_data['t'],servo_data['3'],'r-')
plt.show()
Exemplo n.º 2
0
parser.add_argument('-w', '--which', help='nma, fft, peaks...')
args = parser.parse_args()

start = 1500
amp = 140
THE_FORWARDS = {}
names = ['first', 'second', 'third', 'fourth', 'fifth']
fig = plt.figure(figsize=(12, 6))
plt.rc('axes', labelsize=16)
for nam in names:
    rob_str = args.which + '/robot_data/*' + nam + '*'
    ser_str = args.which + '/servo_data/*' + nam + '*'
    rob_str = glob.glob(rob_str)[0]
    ser_str = glob.glob(ser_str)[0]
    #print rob_str, ser_str
    robot_data = createXYangT(rob_str)
    servo_data = create_servo_dict(ser_str)
    numServos = len(servo_data.keys()) - 1
    #servo_new = extrapolate(robot_data,servo_data)
    #servo_new = extrapolate(robot_data,servo_data)
    #print robot_data
    #robot_new = extrapolate(servo_data,robot_data)
    robot_diff = {'forwards': [0], 'sideways': [0]}
    for t in range(len(robot_data['t']))[1:]:
        x0 = robot_data['x'][t - 1]
        x1 = robot_data['x'][t]
        y0 = robot_data['y'][t - 1]
        y1 = robot_data['y'][t]
        phi = np.arctan2(y1 - y0, x1 - x0) - robot_data['ang'][t - 1]
        hyp = np.sqrt((y1 - y0)**2 + (x1 - x0)**2)
        robot_diff['forwards'].append(hyp * np.cos(phi) +