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video_gaze.py
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video_gaze.py
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import zmq
CAM_RES = (1280, 720)
import time
import numpy
from reachy import Leachy
leachy = Leachy()
screen_size = (520, 320) # in mm
joints = { # in degrees
'pyramide_rouge': [-28.33, 20.1, 36.97, -64.22, -34.16, 10.7, -20.0],
'prisme_jaune': [-49.69, 18.31, 17.27, -35.47, -53.52, -0.15, -7.89],
'hexa_jaune': [4.7, -2.35, 41.19, -98.51, -7.18, 22.43, -19.21],
'pyramide_vert': [-21.9, 2.2, 12.79, -71.08, -45.6, 13.34, -20.38] ,
'cube_rouge': [-33.43, -6.6, 15.6, -55.43, -61.14, -11.58, -6.6],
'boule_jaune': [3.85, -0.68, 24.84, -85.67, -56.16, -23.02, -20.67],
'cylindre_bleu': [-44.07, 6.3, -33.36, -44.18, -22.43, -3.08, -21.26],
'chapeau_vert':[4.8, 15.9, -15.69, -94.55, -34.75, -1.32, -17.74] ,
'rest': [16.6, 13.6, 17.1, -101.93, -19.5, -0.15, -16.28],
'center': [-19.2, 9.3, 2.24, -93.23, -28.3, 14.52, -7.48],
}
inter = {
'pyramide_rouge': True,
'prisme_jaune': True,
'hexa_jaune': False,
'pyramide_vert': True,
'cube_rouge': True,
'boule_jaune': False,
'cylindre_bleu': True,
'chapeau_vert': False,
}
pos_2d = { # in mm (origin top left)
'pyramide_rouge': (35, 145),
'prisme_jaune': (145, 65),
'hexa_jaune': (110, 260),
'pyramide_vert': (270, 160),
'cube_rouge': (350, 70),
'boule_jaune': (300, 250),
'cylindre_bleu': (470, 135),
'chapeau_vert': (465, 275),
}
time_traj = {
'pyramide_rouge': 1,
'prisme_jaune': 1,
'hexa_jaune': 0.75,
'pyramide_vert': 1,
'cube_rouge': 1,
'boule_jaune': 0.75,
'cylindre_bleu': 1,
'chapeau_vert': 0.75,
}
def find_nearest_object(x, y):
dist = {
corner: (xc - x) ** 2 + (yc - y) ** 2
for (corner, (xc, yc)) in pos_2d.items()
}
return min(dist, key=dist.get)
def goto_object(obj, t, wait=True):
print('Goto obj:', obj)
q = joints[obj]
for m, p in zip(leachy.motors, q):
m.goto_position(p, t, control='linear')
if wait:
time.sleep(t)
def goto_2d(x2, y2):
x2 = min(max(x2, 0), 1)
y2 = min(max(y2, 0), 1)
x2 *= screen_size[0]
y2 *= screen_size[1]
obj = find_nearest_object(x2, y2)
goto(obj)
def goto_rest(t):
for m, p in zip(leachy.motors, joints['center']):
m.goto_position(p, t, control='linear')
time.sleep(t)
def goto(obj):
t = time_traj[obj]
if inter[obj]:
goto_object('center', t, wait=True)
#time.sleep(0.75 * t)
goto_object(obj, t)
time.sleep(t)
if inter[obj]:
goto_object('center', t, wait=True)
#time.sleep(0.75 * t)
goto_object('rest', t)
import myo
class Listener(myo.DeviceListener):
def on_connect(self, device, timestamp, version):
print('Connected!')
device.set_stream_emg(myo.StreamEmg.enabled)
for _ in range(3):
device.vibrate('short')
time.sleep(0.5)
def on_emg_data(self, device, timestamp, emg):
self.emg = abs(numpy.array(emg))
from threading import Thread
if __name__ == '__main__':
import sys
import cv2
for m in leachy.motors:
m.compliant = False
m.moving_speed = 0
#goto_rest(2)
#myo.init('../../myo-sdk-win-0.9.0/bin')
#listener = Listener()
#listener.emg = numpy.array([numpy.nan])
#hub = myo.Hub()
#hub.run(50, listener)
from gazepoint import GazePoint
tracker = GazePoint()
cap = cv2.VideoCapture(0)
cap.set(cv2.CAP_PROP_FRAME_WIDTH, CAM_RES[0])
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, CAM_RES[1])
cv2.namedWindow('cam', cv2.WND_PROP_FULLSCREEN)
cv2.setWindowProperty('cam', cv2.WND_PROP_FULLSCREEN, cv2.WINDOW_FULLSCREEN)
while True:
ret, frame = cap.read()
x, y = tracker.gaze_position
cv2.circle(frame, (round(x * CAM_RES[0]), round(y * CAM_RES[1])), 10, (0, 0, 225), -1)
cv2.imshow('cam', frame)
key = cv2.waitKey(50)
if key == 13: # Enter
Thread(target=lambda: goto_2d(x, y)).start()
if key in (27, ord('q')): # Esc or 'q'
break
tracker.stop()
hub.shutdown()