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@ -3,40 +3,47 @@ from kuukar.kuukar import kuukar
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from LaneDetectionModule import getLaneCurve
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from utils import initializeTrackbars
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import WebcamModule
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from threading import Thread
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global speed, sen, car, delay
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from time import perf_counter
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sen = 1
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speed = 0
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delay = 0.15
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car = kuukar()
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##################################################
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############### MAIN ROBOT LANE ##################
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##################################################
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def main():
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img = WebcamModule.getImg()
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curveVal= getLaneCurve(img,2)
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sen = 0.8 # SENSITIVITY
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maxVAl= 1.0 # MAX SPEED
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if curveVal>maxVAl:curveVal = maxVAl
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if curveVal<-maxVAl: curveVal =-maxVAl
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#print(curveVal)
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if curveVal>0:
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sen =1.7
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if curveVal<0.05: curveVal=0
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else:
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if curveVal>-0.08: curveVal=0
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car.motion.skt_drive(0.4,-curveVal*sen,0.05)
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turn_value = -curveVal*sen
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print("Curve Value : " + str(curveVal) + " Turn Value : "+ str(round(turn_value,2))
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cv2.waitKey(1)
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if __name__ == '__main__':
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initialTrackBarVals = [70, 124, 4, 195]
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initializeTrackbars(initialTrackBarVals)
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global speed, sen, car, delay
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while True:
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main()
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stt = perf_counter()
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img = WebcamModule.getImg()
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curveVal= getLaneCurve(img,2)
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maxVAl= 1.0 # MAX SPEED
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if curveVal>maxVAl:curveVal = maxVAl
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if curveVal<-maxVAl: curveVal =-maxVAl
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#print(curveVal)
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if curveVal>0:
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sen =1.7
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if curveVal<0.05: curveVal=0
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else:
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if curveVal>-0.08: curveVal=0
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car.motion.skt_drive(speed,-curveVal*sen,delay)
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turn_value = -curveVal*sen
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#print("Curve Value : " + str(curveVal) + " Turn Value : "+ str(round(turn_value,2)))
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#print(f"looptime: {perf_counter()-stt}s")
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cv2.waitKey(1)
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if __name__ == '__main__':
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initialTrackBarVals = [107, 134, 89, 221]
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initializeTrackbars(initialTrackBarVals)
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Thread(target=main).start()
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while True:
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speed = float(input("speed: "))
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sen = float(input("sen: "))
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delay = float(input("delay: "))
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@ -10,8 +10,8 @@ class cv:
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def __init__(self, lcd: lcd, leds: leds) -> None:
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self.lcd = lcd
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self.leds = leds
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self.camera = cv2.VideoCapture(0)
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threading.Thread(target=self._cv_loop).start()
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#self.camera = cv2.VideoCapture(0)
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#threading.Thread(target=self._cv_loop).start()
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def _cv_loop(self):
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while True:
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@ -31,3 +31,4 @@ class cv:
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gray_img=cv2.cvtColor(image,cv2.COLOR_BGR2GRAY)
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found_stopsigns=stopsign_cascade.detectMultiScale(gray_img,1.1,5)
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return found_stopsigns
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@ -132,8 +132,8 @@ class motion:
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self.motor_write(MOTOR_FL_F, MOTOR_FL_R, abs(leftSpeed))
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self.motor_write(MOTOR_FR_F, MOTOR_FR_R, abs(rightSpeed))
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self.motor_write(MOTOR_RL_F, MOTOR_RL_R, speed)
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self.motor_write(MOTOR_RR_F, MOTOR_RR_R, speed)
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#self.motor_write(MOTOR_RL_F, MOTOR_RL_R, speed)
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#self.motor_write(MOTOR_RR_F, MOTOR_RR_R, speed)
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time.sleep(t)
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