This commit is contained in:
NikolajDanger
2022-10-24 14:03:29 +02:00
parent 2c10cc9346
commit 2372c85148

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rally/rally.py Normal file
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from time import sleep
import numpy as np
import cv2
import robot
LANDMARKS = [1,2,3,4] # SET ARUCO NUMBERS
POWER = 70
TURN_T = 7.9 # 1 degree
DRIVE_T = 22 # 1 centimeter
RIGHT_WHEEL_OFFSET = 4
CLOCKWISE_OFFSET = 0.96
FOCAL_LENGTH = 1691
CAMERA_MATRIX = np.array(
[[FOCAL_LENGTH,0,512],[0,FOCAL_LENGTH,360],[0,0,1]],
dtype=np.float32
)
DIST_COEF = np.array([0,0,0,0,0], dtype=np.float32)
def find_aruco(image):
aruco_dict = cv2.aruco.Dictionary_get(cv2.aruco.DICT_6X6_250)
aruco_params = cv2.aruco.DetectorParameters_create()
corners, ids, _ = cv2.aruco.detectMarkers(
image,
aruco_dict,
parameters=aruco_params
)
if corners is None:
return []
return {ids[i]: box[0] for i, box in enumerate(corners)}
def main():
landmark_order = [
LANDMARKS[0],
LANDMARKS[1],
LANDMARKS[2],
LANDMARKS[3],
LANDMARKS[0]
]
noah = robot.Robot()
while landmark_order != []:
landmark = landmark_order.pop(0)
while True:
arucos = find_aruco(noah.take_photo())
if landmark in arucos:
break
noah.go_diff(40, 40, 1, 0)
sleep(0.3)
noah.stop()
position = cv2.aruco.estimatePoseSingleMarkers(
np.array([arucos[landmark][0]]), 14.5, CAMERA_MATRIX, DIST_COEF
)[1][0][0]
angle = np.rad2deg(np.arctan(position[0]/position[2]))
drive_distance = np.sqrt(position[0]**2 + position[2]**2)
if angle < 0:
noah.go_diff(POWER, POWER, 0, 1)
sleep((abs(angle) * TURN_T)/1000)
noah.stop()
else:
noah.go_diff(POWER, POWER, 1, 0)
sleep((abs(angle) * TURN_T * CLOCKWISE_OFFSET)/1000)
noah.stop()
noah.go_diff(POWER, POWER + RIGHT_WHEEL_OFFSET, 1, 1)
sleep((drive_distance * DRIVE_T)/1000)
noah.stop()
if __name__ == "__main__":
main()