Spiegazione della routine 04-Filtri-immagine->rotazione_correzionecorrezione rotazione
# 旋转校正
#
# 这个例子展示了如何使用rotation_corr()在图像上放大和缩小三维的视角旋转。 虽然
# 此演示为了好玩旋转图像,但您可以使用此功能来修复与OpenMV的安装相关的透视问题。
import sensor, image, time
# Degrees per frame to rotation by...
# 每帧旋转的角度…
X_ROTATION_DEGREE_RATE = 5
Y_ROTATION_DEGREE_RATE = 0.5
Z_ROTATION_DEGREE_RATE = 0
X_OFFSET = 0
Y_OFFSET = 0
ZOOM_AMOUNT = 1 # Lower zooms out - Higher zooms in 较低的值缩小-较高的放大
FOV_WINDOW = 60 # Between 0 and 180. Represents the field-of-view of the scene
# window when rotating the image in 3D space. When closer to
# zero results in lines becoming straighter as the window
# moves away from the image being rotated in 3D space. A large
# value moves the window closer to the image in 3D space which
# results in the more perspective distortion and sometimes
# the image in 3D intersecting the scene window.
# 在0和180之间。表示在三维空间中旋转图像时场景窗口的视场。
# 当接近于0时,随着窗口远离在三维空间中旋转的图像,直线会变得更直。
# 在三维空间中,较大的值会使窗口更靠近图像,从而导致更多的透视畸变,
# 有时会导致三维图像与场景窗口相交。
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()
x_rotation_counter = 0
y_rotation_counter = 0
z_rotation_counter = 0
while(True):
clock.tick()
img = sensor.snapshot().rotation_corr(x_rotation = x_rotation_counter, \
y_rotation = y_rotation_counter, \
z_rotation = z_rotation_counter, \
x_translation = X_OFFSET, \
y_translation = Y_OFFSET, \
zoom = ZOOM_AMOUNT), \
fov = FOV_WINDOW)
x_rotation_counter += X_ROTATION_DEGREE_RATE
y_rotation_counter += Y_ROTATION_DEGREE_RATE
z_rotation_counter += Z_ROTATION_DEGREE_RATE
print(clock.fps())
Spiegazione ufficiale della funzione del documento cinese di Singtown Technology OpenMV: