def main(): onOff = False movement.init() with raw_mode(sys.stdin): try: while True: ch = sys.stdin.read(1) if not ch or ch == chr(4): break if str(ch) == 'a': movement.left(200) if str(ch) == 'd': movement.right(200) if str(ch) == 'w': movement.up(100) if str(ch) == 's': movement.down(100) if str(ch) == 'f': movement.fire() if str(ch) == 'e': movement.led_toggle(onOff) onOff = not onOff except (KeyboardInterrupt, EOFError): pass
print(event.key)
if event.key == pygame.K_UP:
print('UP')
movement.forward(st)
os.chdir('/home/pi/Desktop/New_beginning/w')
camera.take_picture()
elif event.key == pygame.K_DOWN:
movement.reverse(st)
print('DOWN')
elif event.key == pygame.K_LEFT:
os.chdir('/home/pi/Desktop/New_beginning/a')
camera.take_picture()
movement.left(st)
print('LEFT')
elif event.key == pygame.K_RIGHT:
os.chdir('/home/pi/Desktop/New_beginning/d')
camera.take_picture()
movement.right(st)
print('RIGHT')
elif event.key == pygame.K_SPACE:
movement.car.end()
print('STOP')
elif event.key == 113:
print("done")
camera.end()
condition = False
break
def handleMessage(msg, data):
global server, tilt, yaw
print("Incoming", msg, data)
if msg == Messages.MSG_READ_SENSORS:
irL = jsonBool(robohat.irLeft())
irR = jsonBool(robohat.irRight())
lineL = jsonBool(robohat.irLeftLine())
lineR = jsonBool(robohat.irRightLine())
sonar = robohat.getDistance()
cmpCal = jsonBool(micro_api.isCompassCalibrated())
print "Read sensors!"
msg = '{{"msg":{0},"data":{{"irL":{1},"irR":{2},"lineL":{3},"lineR":{4},"dist":{5},"cmpCal":{6}}}}}'
msg = msg.format(Messages.MSG_SENSOR_DATA, irL, irR, lineL, lineR,
sonar, cmpCal)
server.send(msg)
elif msg == Messages.MSG_FORWARD or msg == Messages.MSG_REVERSE:
revs = 2
speed = 40
clicks = move.getClicks()
if data != None:
if "r" in data:
revs = data["r"]
if "s" in data:
speed = data["s"]
if msg == Messages.MSG_FORWARD:
print "Forward!"
move.forward(revs, speed)
else:
print "Reverse!"
move.reverse(revs, speed)
newClicks = move.getClicks()
irL = jsonBool(robohat.irLeft())
irR = jsonBool(robohat.irRight())
totClicks = newClicks - clicks
reply = '{{"msg":{0},"data":{{"msg":{1},"clicks":{2},"revs":{3},"l":{4},"r":{5}}}}}'
reply = reply.format(Messages.MSG_OK_DONE, msg, totClicks,
(float(totClicks / move.CLICKS_PER_REV)), irL,
irR)
server.send(reply)
elif msg == Messages.MSG_LEFT or msg == Messages.MSG_RIGHT:
revs = 0.5
speed = 100
clicks = move.getClicks()
if data != None:
if "r" in data:
revs = data["r"]
if "s" in data:
speed = data["s"]
if msg == Messages.MSG_LEFT:
print "Left!"
move.left(revs, speed)
else:
print "Right!"
move.right(revs, speed)
newClicks = move.getClicks()
totClicks = newClicks - clicks
irL = jsonBool(robohat.irLeft())
irR = jsonBool(robohat.irRight())
reply = '{{"msg":{0},"data":{{"msg":{1},"clicks":{2},"revs":{3},"l":{4},"r":{5}}}}}'
reply = reply.format(Messages.MSG_OK_DONE, msg, totClicks,
(float(totClicks / move.CLICKS_PER_REV)), irL,
irR)
server.send(reply)
elif msg == Messages.MSG_SONAR_UP:
print "Sonar up!"
tilt.up()
elif msg == Messages.MSG_SONAR_CENTRE:
print "Sonar centre!"
tilt.centre()
elif msg == Messages.MSG_SONAR_DOWN:
print "Sonar down!"
tilt.down()
elif msg == Messages.MSG_SONAR_LOW:
print "Sonar low!"
tilt.low()
elif msg == Messages.MSG_SONAR_MID:
print "Sonar middle!"
yaw.mid()
elif msg == Messages.MSG_SONAR_LEFT:
print "Sonar left!"
yaw.left()
elif msg == Messages.MSG_SONAR_RIGHT:
print "Sonar right!"
yaw.right()
elif msg == Messages.MSG_SONAR_SCAN:
sonarScan()
elif msg == Messages.MSG_PARK_SONAR:
yaw.mid()
tilt.park()
elif msg == Messages.MSG_FLOOR_SONAR:
yaw.mid()
tilt.floor()
elif msg == Messages.MSG_GET_CLICKS:
clicks = move.getClicks()
msg = '{{"msg":{0},"data":{{"clicks":{1}}}}}'
msg = msg.format(Messages.MSG_CLICK_DATA, clicks)
server.send(msg)
elif msg == Messages.MSG_RESET_CLICKS:
move.resetClicks()
elif msg == Messages.MSG_TILT_PERCENT or msg == Messages.MSG_YAW_PERCENT:
v = 50
if data != None:
if "v" in data:
val = data["v"]
if msg == Messages.MSG_TILT_PERCENT:
print "Tilt", val
tilt.percentage(val)
else:
print "Yaw", val
yaw.percentage(val)
reply = '{{"msg":{0},"data":{{"msg":{1}}}}}'
reply = reply.format(Messages.MSG_OK_DONE, msg)
server.send(reply)
elif msg == Messages.MSG_DETAIL_SCAN:
hGran = 5
vGran = 5
width = 80
height = 60
x = 50
y = 40
if data != None:
if "hG" in data:
hGran = data["hG"]
if "vG" in data:
vGran = data["vG"]
if "w" in data:
width = data["w"]
if "h" in data:
height = data["h"]
if "x" in data:
x = data["x"]
if "y" in data:
y = data["y"]
print "Scan:", hGran, ",", vGran
detailedSonarScan(hGran, vGran, width, height, x, y)
elif msg == Messages.MSG_FIND_WALL:
print "Find wall!"
clicks = move.getClicks()
yaw.mid()
tilt.park()
move.findWall(35)
newClicks = move.getClicks()
totClicks = newClicks - clicks
irL = jsonBool(robohat.irLeft())
irR = jsonBool(robohat.irRight())
reply = '{{"msg":{0},"data":{{"msg":{1},"clicks":{2},"revs":{3},"l":{4},"r":{5}}}}}'
reply = reply.format(Messages.MSG_OK_DONE, msg, totClicks,
(float(totClicks / move.CLICKS_PER_REV)), irL,
irR)
server.send(reply)
elif msg == Messages.MSG_COMPASS_CALIBRATE:
print "[INFO] Start compass calibration"
micro_api.calibrateCompass()
elif msg == Messages.MSG_COMPASS_GET_HEADING:
heading = micro_api.getCompassHeading()
reply = '{{"msg":{0},"data":{{"heading":{1}}}}}'
print "[INFO] Compass heading: {}".format(heading)
reply = reply.format(Messages.MSG_COMPASS_HEADING, heading)
server.send(reply)
else:
print "[WARN] Not handled!", msg
import movement as m
p = 0
tf = 1.6
while p == 0:
a = input('') # previously raw_input()
if a == 'w':
m.forward(tf)
if a == 's':
m.reverse(tf)
if a == 'd':
m.right(tf)
if a == 'a':
m.left(tf)
if a == 'p':
m.left(tf)
image = Image.open('test.jpg')
image = np.array(image)
p = model.predict(np.expand_dims(image, axis=0))
print(p)
p = np.argmax(p, axis=1)
p = p[0]
print(p)
correct = input("Enter correct prediction") # previously raw_input()
if correct == 'w':
os.rename(str("/test.jpg"), str("/images/test/test" + str(i) + ".jpg"))
movement.forward(tf)
elif correct == 'd':
os.rename(str("~/Documents/Self-driving-car/" + imageName),
str("~/Documents/Self-driving-car/images/test/" + imageName))
movement.right(tf)
elif correct == 'a':
os.rename(
str("/home/pi/Documents/Self-driving-car/" + imageName),
str("home/pi/Documents/Self-driving-car/images/test/" + imageName))
movement.left(tf)
elif correct == 'q':
camera.end()
movement.end()
i = i + 1
print("Wait please")
p = 0
tf = 0.5
camera.init()
#movement_test.init()
model = load_model('my_model2.h5')
print("Camera initialized, go ahead!")
while p != 4:
camera.take_picture_test()
image = Image.open('test.jpg')
Image._show(image)
image = np.array(image)
p = model.predict(np.expand_dims(image, axis=0))
print(p)
p = np.argmax(p, axis=1)
p = p[0]
if p == 0:
movement_test.left(tf)
print("left")
elif p == 1:
movement_test.forward(tf)
print("forward")
elif p == 2:
movement_test.right(tf)
print("right")