{"id":1179101,"date":"2025-01-15T18:19:07","date_gmt":"2025-01-15T10:19:07","guid":{"rendered":""},"modified":"2025-01-15T18:19:09","modified_gmt":"2025-01-15T10:19:09","slug":"python%e5%a6%82%e4%bd%95%e5%9c%a8%e5%9b%be%e5%83%8f%e4%b8%8a%e5%88%92%e7%ba%bf","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1179101.html","title":{"rendered":"python\u5982\u4f55\u5728\u56fe\u50cf\u4e0a\u5212\u7ebf"},"content":{"rendered":"

\"python\u5982\u4f55\u5728\u56fe\u50cf\u4e0a\u5212\u7ebf\"<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u3001Pillow\u548cMatplotlib\u7b49\u5e93\u5728\u56fe\u50cf\u4e0a\u5212\u7ebf\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684\u65b9\u6cd5\u6765\u5904\u7406\u56fe\u50cf\u5e76\u7ed8\u5236\u7ebf\u6761\u3002<\/strong><\/p>\n<\/p>\n

OpenCV<\/strong>\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u8bb8\u591a\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u3002Pillow<\/strong>\u662f\u4e00\u4e2a\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u7684Python\u5e93\uff0c\u5b83\u7ee7\u627f\u4e86PIL\uff08Python Imaging Library\uff09\u7684\u529f\u80fd\u3002Matplotlib<\/strong>\u4e3b\u8981\u7528\u4e8e\u7ed8\u56fe\u548c\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4f46\u5b83\u4e5f\u53ef\u4ee5\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u7ed8\u5236\u7ebf\u6761\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u4f7f\u7528\u8fd9\u4e09\u4e2a\u5e93\u5728\u56fe\u50cf\u4e0a\u5212\u7ebf\uff1a<\/p>\n<\/p>\n

\u4e00\u3001OPENCV<\/h3>\n<\/p>\n

OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\uff0c\u5b83\u5177\u6709\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528OpenCV\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n

1\u3001\u5b89\u88c5OpenCV<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86OpenCV\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = cv2.imread('path_to_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u7ebf\u6761<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.line<\/code>\u51fd\u6570\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u3002\u8be5\u51fd\u6570\u7684\u53c2\u6570\u5305\u62ec\u56fe\u50cf\u3001\u8d77\u70b9\u5750\u6807\u3001\u7ec8\u70b9\u5750\u6807\u3001\u7ebf\u6761\u989c\u8272\u548c\u7ebf\u6761\u539a\u5ea6\uff1a<\/p>\n<\/p>\n
# \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761<\/p>\n
start_point = (50, 50)<\/p>\n
end_point = (200, 200)<\/p>\n
color = (255, 0, 0)  # \u989c\u8272\u4e3a\u84dd\u8272\uff08BGR\u683c\u5f0f\uff09<\/p>\n
thickness = 2<\/p>\n
image_with_line = cv2.line(image, start_point, end_point, color, thickness)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u663e\u793a\u548c\u4fdd\u5b58\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528cv2.imshow<\/code>\u663e\u793a\u56fe\u50cf\uff0c\u4f7f\u7528cv2.imwrite<\/code>\u4fdd\u5b58\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
# \u663e\u793a\u56fe\u50cf<\/p>\n
cv2.imshow('Image with Line', image_with_line)<\/p>\n
cv2.wAI<\/a>tKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
cv2.imwrite('output_image.jpg', image_with_line)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001PILLOW<\/h3>\n<\/p>\n
Pillow\u662f\u4e00\u4e2a\u53cb\u597d\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u7ee7\u627f\u81eaPIL\u3002\u5b83\u63d0\u4f9b\u4e86\u7b80\u5355\u7684API\u6765\u7ed8\u5236\u7ebf\u6761\u548c\u5904\u7406\u56fe\u50cf\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Pillow<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pillow\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528Pillow\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
from PIL import Image, ImageDraw<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = Image.open('path_to_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u7ebf\u6761<\/h4>\n<\/p>\n
\u4f7f\u7528ImageDraw.Draw<\/code>\u521b\u5efa\u4e00\u4e2a\u7ed8\u56fe\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528line<\/code>\u65b9\u6cd5\u7ed8\u5236\u7ebf\u6761\u3002\u8be5\u65b9\u6cd5\u7684\u53c2\u6570\u5305\u62ec\u8d77\u70b9\u548c\u7ec8\u70b9\u5750\u6807\u5217\u8868\u3001\u7ebf\u6761\u989c\u8272\u548c\u7ebf\u6761\u5bbd\u5ea6\uff1a<\/p>\n<\/p>\n
# \u521b\u5efa\u7ed8\u56fe\u5bf9\u8c61<\/p>\n
draw = ImageDraw.Draw(image)<\/p>\n
\u7ed8\u5236\u7ebf\u6761<\/strong><\/h2>\n
start_point = (50, 50)<\/p>\n
end_point = (200, 200)<\/p>\n
color = (255, 0, 0)  # \u989c\u8272\u4e3a\u7ea2\u8272\uff08RGB\u683c\u5f0f\uff09<\/p>\n
width = 2<\/p>\n
draw.line([start_point, end_point], fill=color, width=width)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u663e\u793a\u548c\u4fdd\u5b58\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528show<\/code>\u65b9\u6cd5\u663e\u793a\u56fe\u50cf\uff0c\u4f7f\u7528save<\/code>\u65b9\u6cd5\u4fdd\u5b58\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
# \u663e\u793a\u56fe\u50cf<\/p>\n
image.show()<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
image.save('output_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001MATPLOTLIB<\/h3>\n<\/p>\n
Matplotlib\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u7ed8\u56fe\u5e93\uff0c\u9002\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\u3002\u867d\u7136\u5b83\u4e3b\u8981\u7528\u4e8e\u7ed8\u5236\u56fe\u8868\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Matplotlib<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Matplotlib\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install matplotlib<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528Matplotlib\u8bfb\u53d6\u56fe\u50cf\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.image as mpimg<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = mpimg.imread('path_to_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u7ed8\u5236\u7ebf\u6761<\/h4>\n<\/p>\n
\u4f7f\u7528plot<\/code>\u51fd\u6570\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u3002\u8be5\u51fd\u6570\u7684\u53c2\u6570\u5305\u62ec\u8d77\u70b9\u548c\u7ec8\u70b9\u5750\u6807\u3001\u7ebf\u6761\u989c\u8272\u548c\u7ebf\u6761\u5bbd\u5ea6\uff1a<\/p>\n<\/p>\n
# \u663e\u793a\u56fe\u50cf<\/p>\n
plt.imshow(image)<\/p>\n
\u7ed8\u5236\u7ebf\u6761<\/strong><\/h2>\n
start_point = [50, 50]<\/p>\n
end_point = [200, 200]<\/p>\n
plt.plot([start_point[0], end_point[0]], [start_point[1], end_point[1]], color='red', linewidth=2)<\/p>\n
\u663e\u793a\u56fe\u50cf\u5e76\u7ed8\u5236\u7684\u7ebf\u6761<\/strong><\/h2>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u4fdd\u5b58\u56fe\u50cf<\/h4>\n<\/p>\n
\u4f7f\u7528savefig<\/code>\u65b9\u6cd5\u4fdd\u5b58\u56fe\u50cf\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u56fe\u50cf<\/p>\n
plt.savefig('output_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u4f7f\u7528OpenCV\u3001Pillow\u548cMatplotlib\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u5404\u6709\u4f18\u7f3a\u70b9\u3002<\/strong>OpenCV\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u975e\u5e38\u9002\u5408\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002Pillow\u63d0\u4f9b\u4e86\u7b80\u5355\u6613\u7528\u7684API\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u56fe\u50cf\u4efb\u52a1\u3002Matplotlib\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u9009\u62e9\u54ea\u79cd\u5e93\u53d6\u51b3\u4e8e\u5177\u4f53\u7684\u9700\u6c42\u548c\u5e94\u7528\u573a\u666f\u3002<\/strong>\u4f8b\u5982\uff0c\u5982\u679c\u4f60\u9700\u8981\u5904\u7406\u590d\u6742\u7684\u56fe\u50cf\u4efb\u52a1\uff0cOpenCV\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5982\u679c\u4f60\u53ea\u9700\u8981\u7b80\u5355\u5730\u7ed8\u5236\u7ebf\u6761\u548c\u5904\u7406\u56fe\u50cf\uff0cPillow\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5982\u679c\u4f60\u9700\u8981\u7ed8\u5236\u56fe\u8868\u548c\u6570\u636e\u53ef\u89c6\u5316\uff0cMatplotlib\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4f7f\u7528\u8fd9\u4e09\u4e2a\u5e93\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u7684\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528OpenCV<\/h4>\n<\/p>\n
import cv2<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = cv2.imread('path_to_image.jpg')<\/p>\n
\u7ed8\u5236\u7ebf\u6761<\/strong><\/h2>\n
start_point = (50, 50)<\/p>\n
end_point = (200, 200)<\/p>\n
color = (255, 0, 0)  # \u989c\u8272\u4e3a\u84dd\u8272\uff08BGR\u683c\u5f0f\uff09<\/p>\n
thickness = 2<\/p>\n
image_with_line = cv2.line(image, start_point, end_point, color, thickness)<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
cv2.imshow('Image with Line', image_with_line)<\/p>\n
cv2.waitKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
cv2.imwrite('output_image.jpg', image_with_line)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Pillow<\/h4>\n<\/p>\n
from PIL import Image, ImageDraw<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = Image.open('path_to_image.jpg')<\/p>\n
\u521b\u5efa\u7ed8\u56fe\u5bf9\u8c61<\/strong><\/h2>\n
draw = ImageDraw.Draw(image)<\/p>\n
\u7ed8\u5236\u7ebf\u6761<\/strong><\/h2>\n
start_point = (50, 50)<\/p>\n
end_point = (200, 200)<\/p>\n
color = (255, 0, 0)  # \u989c\u8272\u4e3a\u7ea2\u8272\uff08RGB\u683c\u5f0f\uff09<\/p>\n
width = 2<\/p>\n
draw.line([start_point, end_point], fill=color, width=width)<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
image.show()<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
image.save('output_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4f7f\u7528Matplotlib<\/h4>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
import matplotlib.image as mpimg<\/p>\n
\u8bfb\u53d6\u56fe\u50cf<\/strong><\/h2>\n
image = mpimg.imread('path_to_image.jpg')<\/p>\n
\u663e\u793a\u56fe\u50cf<\/strong><\/h2>\n
plt.imshow(image)<\/p>\n
\u7ed8\u5236\u7ebf\u6761<\/strong><\/h2>\n
start_point = [50, 50]<\/p>\n
end_point = [200, 200]<\/p>\n
plt.plot([start_point[0], end_point[0]], [start_point[1], end_point[1]], color='red', linewidth=2)<\/p>\n
\u663e\u793a\u56fe\u50cf\u5e76\u7ed8\u5236\u7684\u7ebf\u6761<\/strong><\/h2>\n
plt.show()<\/p>\n
\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n
plt.savefig('output_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u4e9b\u4ee3\u7801\u793a\u4f8b\uff0c\u4f60\u53ef\u4ee5\u770b\u5230\u4f7f\u7528OpenCV\u3001Pillow\u548cMatplotlib\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u7684\u65b9\u6cd5\u3002\u6839\u636e\u4f60\u7684\u5177\u4f53\u9700\u6c42\u548c\u5e94\u7528\u573a\u666f\uff0c\u9009\u62e9\u9002\u5408\u7684\u5e93\u6765\u5904\u7406\u56fe\u50cf\u4efb\u52a1\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528OpenCV\u5e93\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\uff1f<\/strong>
\u4f7f\u7528OpenCV\u5e93\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86OpenCV\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7pip install opencv-python<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u7136\u540e\uff0c\u8bfb\u53d6\u56fe\u50cf\uff0c\u4f7f\u7528cv2.line()<\/code>\u51fd\u6570\u6307\u5b9a\u8d77\u59cb\u548c\u7ed3\u675f\u5750\u6807\u3001\u989c\u8272\u548c\u7ebf\u6761\u7c97\u7ec6\u3002\u4ee3\u7801\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n
import cv2\n\n# \u8bfb\u53d6\u56fe\u50cf\nimage = cv2.imread('image.jpg')\n\n# \u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u7ebf\u6761\nstart_point = (50, 50)\nend_point = (200, 200)\ncolor = (255, 0, 0)  # BGR\u683c\u5f0f\nthickness = 2\ncv2.line(image, start_point, end_point, color, thickness)\n\n# \u663e\u793a\u56fe\u50cf\ncv2.imshow('Image with Line', image)\ncv2.waitKey(0)\ncv2.destroyAllWindows()\n<\/code><\/pre>\n
\u5728\u7ed8\u5236\u7ebf\u6761\u65f6\u5982\u4f55\u9009\u62e9\u989c\u8272\u548c\u7ebf\u6761\u7c97\u7ec6\uff1f<\/strong>
\u5728OpenCV\u4e2d\uff0c\u989c\u8272\u662f\u4ee5BGR\u683c\u5f0f\u8868\u793a\u7684\u3002\u4f8b\u5982\uff0c\u7ea2\u8272\u4e3a(0, 0, 255)\uff0c\u7eff\u8272\u4e3a(0, 255, 0)\uff0c\u84dd\u8272\u4e3a(255, 0, 0)\u3002\u7ebf\u6761\u7684\u7c97\u7ec6\u53ef\u4ee5\u901a\u8fc7thickness<\/code>\u53c2\u6570\u8fdb\u884c\u8bbe\u7f6e\uff0c\u6570\u503c\u8d8a\u5927\u7ebf\u6761\u8d8a\u7c97\u3002\u53ef\u4ee5\u6839\u636e\u9700\u6c42\u8c03\u6574\u8fd9\u4e24\u4e2a\u53c2\u6570\uff0c\u4ee5\u5b9e\u73b0\u4e0d\u540c\u7684\u89c6\u89c9\u6548\u679c\u3002<\/p>\n
\u7ed8\u5236\u591a\u6761\u7ebf\u6761\u65f6\u6709\u4ec0\u4e48\u5efa\u8bae\uff1f<\/strong>
\u82e5\u9700\u8981\u5728\u56fe\u50cf\u4e0a\u7ed8\u5236\u591a\u6761\u7ebf\u6761\uff0c\u5efa\u8bae\u4f7f\u7528\u5faa\u73af\u7ed3\u6784\u6765\u5904\u7406\u3002\u53ef\u4ee5\u5c06\u8d77\u59cb\u548c\u7ed3\u675f\u70b9\u5b58\u50a8\u5728\u5217\u8868\u4e2d\uff0c\u7136\u540e\u904d\u5386\u5217\u8868\u8fdb\u884c\u7ed8\u5236\u3002\u8fd9\u79cd\u65b9\u5f0f\u80fd\u591f\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u53ef\u7ef4\u62a4\u6027\u3002\u4f8b\u5982\uff1a<\/p>\n
lines = [((50, 50), (200, 200)), ((100, 100), (300, 300))]\nfor line in lines:\n    cv2.line(image, line[0], line[1], (255, 0, 0), 2)\n<\/code><\/pre>\n
\u8fd9\u79cd\u65b9\u6cd5\u4e0d\u4ec5\u53ef\u4ee5\u51cf\u5c11\u91cd\u590d\u4ee3\u7801\uff0c\u8fd8\u80fd\u65b9\u4fbf\u5730\u7ba1\u7406\u548c\u8c03\u6574\u9700\u8981\u7ed8\u5236\u7684\u7ebf\u6761\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528OpenCV\u3001Pillow\u548cMatplotlib\u7b49\u5e93\u5728\u56fe\u50cf\u4e0a\u5212\u7ebf\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684 […]","protected":false},"author":3,"featured_media":1179106,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179101"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1179101"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179101\/revisions"}],"predecessor-version":[{"id":1179109,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1179101\/revisions\/1179109"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1179106"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1179101"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1179101"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1179101"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}