Routine explanation -04-perspective_and_rotation_correction Perspective rotation correction
# 旋转校正
#
# This example shows off how to use the rotation_corr() to both correct for
# perspective distortion and then to rotate the new corrected image in 3D
# space aftwards to handle movement.
# 这个例子展示了如何使用rotation_corr()来纠正透视图的失真,
# 然后在3D空间中向右旋转新的校正后的图像来处理移动。
import sensor, image, time
sensor.reset()
sensor.set_pixformat(sensor.RGB565)
sensor.set_framesize(sensor.QVGA)
sensor.skip_frames(time = 2000)
clock = time.clock()
# The image will be warped such that the following points become the new:
# 图像将变形,使以下几点成为新的:
#
# (0, 0)
# (w-1, 0)
# (w-1, h-1)
# (0, h-1)
#
# Try setting the points below to the corners of a quadrilateral
# (in clock-wise order) in the field-of-view. You can get points
# on the image by clicking and dragging on the frame buffer and
# recording the values shown in the histogram widget.
# 试着把下面的点设置到一个四边形的角上(按时钟顺序)。
# 您可以通过单击和拖动帧缓冲区并记录histogram小部件中显示的值来获得图像上的点。
w = sensor.width()
h = sensor.height()
TARGET_POINTS = [(0, 0), # (x, y) CHANGE ME!
(w-1, 0), # (x, y) CHANGE ME!
(w-1, h-1), # (x, y) CHANGE ME!
(0, h-1)] # (x, y) CHANGE ME!
# 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 = 25 # 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。
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, \
corners = TARGET_POINTS)
x_rotation_counter += X_ROTATION_DEGREE_RATE
y_rotation_counter += Y_ROTATION_DEGREE_RATE
z_rotation_counter += Z_ROTATION_DEGREE_RATE
print(clock.fps())