def draw_grid(img, line_color=(0, 255, 0), thickness=1, type_=_cv2.LINE_AA, pxstep=50):
'''(ndarray, 3-tuple, int, int) -> void
draw gridlines on img
line_color:
BGR representation of colour
thickness:
line thickness
type:
8, 4 or cv2.LINE_AA
pxstep:
grid line frequency in pixels
'''
x = pxstep
y = pxstep
while x < img.shape[1]:
_cv2.line(img, (x, 0), (x, img.shape[0]), color=line_color, lineType=type_, thickness=thickness)
x += pxstep
while y < img.shape[0]:
_cv2.line(img, (0, y), (img.shape[1], y), color=line_color, lineType=type_, thickness=thickness)
y += pxstep
import matplotlib.pyplot as plt
import matplotlib.ticker as plticker
try:
from PIL import Image
except ImportError:
import Image
# Open image file
image = Image.open('bird.jpg')
my_dpi=200.
# Set up figure
fig=plt.figure(figsize=(float(image.size[0])/my_dpi,float(image.size[1])/my_dpi),dpi=my_dpi)
ax=fig.add_subplot(111)
# Remove whitespace from around the image
fig.subplots_adjust(left=0,right=1,bottom=0,top=1)
# Set the gridding interval: here we use the major tick interval
myInterval=300.
loc = plticker.MultipleLocator(base=myInterval)
ax.xaxis.set_major_locator(loc)
ax.yaxis.set_major_locator(loc)
# Add the grid
ax.grid(which='major', axis='both', linestyle='-', color='g')
# Add the image
ax.imshow(image)
# Find number of gridsquares in x and y direction
nx=abs(int(float(ax.get_xlim()[1]-ax.get_xlim()[0])/float(myInterval)))
ny=abs(int(float(ax.get_ylim()[1]-ax.get_ylim()[0])/float(myInterval)))
# Save the figure
fig.savefig('birdgrid_without_Label.jpg')
可以使用cv2.line()函数在输入图像上绘制线。因此,根据要绘制线的位置,基本代码将如下所示:
要获取图像的维度,可以使用
img.shape
,它将返回(height, width)
。例如,要绘制穿过中心的垂直线,您的代码将如下所示:
这是我的问题解决方案。利用它。
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