python # mysin.py import math def calculate_sin(angle_in_degrees): """ 计算给定角度(以度为单位)的正弦值。 参数: angle_in_degrees (float): 角度值(以度为单位)。 返回: float: 给定角度的正弦值。 """ angle_in_radians = math.radians(an
We can find the corresponding Euler angles (in radians) >> R.eul() array([-1.57079633, 0.52359878, 2.0943951 ]) Frequently in robotics we want a sequence, a trajectory, of rotation matrices or poses. These pose classes inherit capability from the list class >>> R = SO3() # the null ...
The Calculate Value tool allows the use of the Python math module to perform more complex mathematical operations. Return the square root of a value. Expression: math.sqrt(25) Return the cosine of a value in radians. Expression: math.cos(0.5) Constants are also supported through...
( pi / 2 - radians(direction_angle1) ) y1_1 = eval(cam1["SHAPE"])["y"] + DIST * sin( pi / 2 - radians(direction_angle1) ) for bbox2 in bboxes2: # loop over all the bbox in image2 if bbox2[3] > 50: # ignore small bboxes x2_0 = eval(cam2["SHAPE"]...
I'm using cv2.HoughLinesP to detect lines in the edge images. There are several parameters you'll need to tweak and tune: rho: Distance resolution of the accumulator in pixels. theta: Angle resolution of the accumulator in radians. threshold: Accumulator threshold parameter. Only those lines ar...
phase : desired phase shift in radians nCyl : number of cycles of sine wave to generate Returns: (t,g) : time base (t) and the signal g(t) as tuple Example: f=10; overSampRate=30; phase = 1/3*np.pi;nCyl = 5; (t,g) = sine_wave(f,overSampRate,phase,nCyl) ...
[3] / H# calculale the distance of object in image2 from centerdist2 = OBJECT_HEIGHT_IN_WORLD \ / tan(radians(angle_subtended_by_object2)) dist2 = dist2 * pi# find coordinate of object in image2x22 = Point(eval(cam2['SHAPE']))['x'] + dist2 \ * cos(pi /2- radians(...
b Plot of the measured height, in radians, versus the certified height used to calibrate the system. The blue dots depicted in the inset graphs correspond to the certified values; the fitted calibration factor was used to convert phase to heights in the inset graphs. c–e Reconstruction ...
radians(10) #transformation matrix for Rotation M = np.float32([[np.cos(angle), -(np.sin(angle)), 0], [np.sin(angle), np.cos(angle), 0], [0, 0, 1]]) # apply a perspective transformation to the image rotated_img = cv2.warpPerspective(img, M, (int(cols),int(rows))) # ...
The means are −0.0000000023, 0.000000057, and 0.000000069 radians, respectively. Additionally, as shown in Fig. 6, there is phase difference in some pixels between LiCSBAS and the Alaska service on demand. Although both used the GAMMA spatial filter adaptive commercial filter. This discrepancy ...