{"id":1160320,"date":"2025-01-13T19:03:32","date_gmt":"2025-01-13T11:03:32","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1160320.html"},"modified":"2025-01-13T19:03:35","modified_gmt":"2025-01-13T11:03:35","slug":"python3-7%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e5%9b%be%e7%89%87","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1160320.html","title":{"rendered":"python3.7\u5982\u4f55\u8bfb\u53d6\u56fe\u7247"},"content":{"rendered":"

\"python3.7\u5982\u4f55\u8bfb\u53d6\u56fe\u7247\"<\/p>\n

Python3.7\u8bfb\u53d6\u56fe\u7247\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u5982PIL\u3001OpenCV\u3001matplotlib\uff0c\u53ef\u4ee5\u901a\u8fc7\u5b89\u88c5\u76f8\u5e94\u7684\u5e93\u5e76\u7f16\u5199\u4ee3\u7801\u5b9e\u73b0\u3002<\/strong>\u5176\u4e2d\uff0cPIL\uff08Pillow\u5e93\uff09\u662f\u4e00\u4e2a\u975e\u5e38\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u548c\u5904\u7406\u56fe\u50cf\u3002\u4f7f\u7528PIL\u8bfb\u53d6\u56fe\u7247\u7684\u65b9\u6cd5\u662f\u5bfc\u5165PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\uff0c\u7136\u540e\u4f7f\u7528Image.open()\u51fd\u6570\u8bfb\u53d6\u56fe\u7247<\/strong>\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n

from PIL import Image<\/p>\n
image = Image.open('path\/to\/image.jpg')<\/p>\n
image.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528PIL\u548c\u5176\u4ed6\u5e38\u7528\u65b9\u6cd5\u6765\u8bfb\u53d6\u56fe\u7247\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528PIL\u5e93\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n
PIL\uff08Python Imaging Library\uff09\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u540e\u7eed\u7531Pillow\u7ef4\u62a4\u3002\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u53ef\u4ee5\u8bfb\u53d6\u3001\u7f16\u8f91\u548c\u4fdd\u5b58\u5404\u79cd\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5Pillow\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u4e2d\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\u7247<\/h4>\n<\/p>\n
\u4f7f\u7528Pillow\u5e93\u8bfb\u53d6\u56fe\u7247\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u5bfc\u5165PIL\u5e93\u4e2d\u7684Image\u6a21\u5757\uff0c\u5e76\u4f7f\u7528Image.open()\u51fd\u6570\u6253\u5f00\u56fe\u7247\u5373\u53ef\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
\u6253\u5f00\u56fe\u7247<\/strong><\/h2>\n
image = Image.open('path\/to\/image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
image.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u83b7\u53d6\u56fe\u7247\u4fe1\u606f<\/h4>\n<\/p>\n
\u8bfb\u53d6\u56fe\u7247\u4e4b\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u56fe\u7247\u7684\u5404\u79cd\u4fe1\u606f\uff0c\u4f8b\u5982\u56fe\u7247\u7684\u683c\u5f0f\u3001\u5927\u5c0f\u3001\u6a21\u5f0f\u7b49\uff1a<\/p>\n<\/p>\n
print(f"Format: {image.format}")<\/p>\n
print(f"Size: {image.size}")<\/p>\n
print(f"Mode: {image.mode}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u4fdd\u5b58\u56fe\u7247<\/h4>\n<\/p>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u5bf9\u56fe\u7247\u8fdb\u884c\u7f16\u8f91\u5e76\u4fdd\u5b58\uff1a<\/p>\n<\/p>\n
# \u5bf9\u56fe\u7247\u8fdb\u884c\u7f16\u8f91\uff08\u5982\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\uff09<\/p>\n
gray_image = image.convert('L')<\/p>\n
\u4fdd\u5b58\u7f16\u8f91\u540e\u7684\u56fe\u7247<\/strong><\/h2>\n
gray_image.save('path\/to\/gray_image.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528OpenCV\u5e93\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n
OpenCV\uff08Open Source Computer Vision Library\uff09\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60<\/a>\u8f6f\u4ef6\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u51fd\u6570\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5OpenCV\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u4e2d\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\u7247<\/h4>\n<\/p>\n
\u4f7f\u7528OpenCV\u5e93\u8bfb\u53d6\u56fe\u7247\u4e5f\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u5bfc\u5165cv2\u6a21\u5757\uff0c\u5e76\u4f7f\u7528cv2.imread()\u51fd\u6570\u6253\u5f00\u56fe\u7247\u5373\u53ef\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
image = cv2.imread('path\/to\/image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
cv2.imshow('Image', image)<\/p>\n
cv2.wAI<\/a>tKey(0)<\/p>\n
cv2.destroyAllWindows()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u83b7\u53d6\u56fe\u7247\u4fe1\u606f<\/h4>\n<\/p>\n
\u8bfb\u53d6\u56fe\u7247\u4e4b\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u56fe\u7247\u7684\u5c3a\u5bf8\u7b49\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
print(f"Shape: {image.shape}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u4fdd\u5b58\u56fe\u7247<\/h4>\n<\/p>\n
\u6211\u4eec\u8fd8\u53ef\u4ee5\u5bf9\u56fe\u7247\u8fdb\u884c\u7f16\u8f91\u5e76\u4fdd\u5b58\uff1a<\/p>\n<\/p>\n
# \u5bf9\u56fe\u7247\u8fdb\u884c\u7f16\u8f91\uff08\u5982\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\uff09<\/p>\n
gray_image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)<\/p>\n
\u4fdd\u5b58\u7f16\u8f91\u540e\u7684\u56fe\u7247<\/strong><\/h2>\n
cv2.imwrite('path\/to\/gray_image.jpg', gray_image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528matplotlib\u5e93\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n
matplotlib\u662fPython\u4e2d\u7684\u4e00\u4e2a\u7ed8\u56fe\u5e93\uff0c\u867d\u7136\u4e3b\u8981\u7528\u4e8e\u7ed8\u5236\u56fe\u8868\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u6765\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5matplotlib\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u4e2d\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\u7247<\/h4>\n<\/p>\n
\u4f7f\u7528matplotlib\u5e93\u8bfb\u53d6\u56fe\u7247\u9700\u8981\u5bfc\u5165pyplot\u6a21\u5757\uff0c\u5e76\u4f7f\u7528pyplot.imread()\u51fd\u6570\u6253\u5f00\u56fe\u7247\uff1a<\/p>\n<\/p>\n
import matplotlib.pyplot as plt<\/p>\n
\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
image = plt.imread('path\/to\/image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247<\/strong><\/h2>\n
plt.imshow(image)<\/p>\n
plt.axis('off')  # \u4e0d\u663e\u793a\u5750\u6807\u8f74<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u83b7\u53d6\u56fe\u7247\u4fe1\u606f<\/h4>\n<\/p>\n
\u8bfb\u53d6\u56fe\u7247\u4e4b\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u56fe\u7247\u7684\u5c3a\u5bf8\u7b49\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
print(f"Shape: {image.shape}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u4fdd\u5b58\u56fe\u7247<\/h4>\n<\/p>\n
matplotlib\u8fd8\u63d0\u4f9b\u4e86\u4fdd\u5b58\u56fe\u7247\u7684\u529f\u80fd\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u56fe\u7247<\/p>\n
plt.imsave('path\/to\/saved_image.jpg', image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528imageio\u5e93\u8bfb\u53d6\u56fe\u7247<\/h3>\n<\/p>\n
imageio\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165\u56fe\u50cf\u6587\u4ef6\u7684\u5e93\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u3002<\/p>\n<\/p>\n
1\u3001\u5b89\u88c5imageio\u5e93<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u4e2d\u5df2\u7ecf\u5b89\u88c5\u4e86imageio\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 imageio<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u8bfb\u53d6\u56fe\u7247<\/h4>\n<\/p>\n
\u4f7f\u7528imageio\u5e93\u8bfb\u53d6\u56fe\u7247\u9700\u8981\u5bfc\u5165imageio\u6a21\u5757\uff0c\u5e76\u4f7f\u7528imageio.imread()\u51fd\u6570\u6253\u5f00\u56fe\u7247\uff1a<\/p>\n<\/p>\n
import imageio<\/p>\n
\u8bfb\u53d6\u56fe\u7247<\/strong><\/h2>\n
image = imageio.imread('path\/to\/image.jpg')<\/p>\n
\u663e\u793a\u56fe\u7247\uff08\u9700\u8981\u501f\u52a9\u5176\u4ed6\u5e93\uff0c\u4f8b\u5982matplotlib\uff09<\/strong><\/h2>\n
import matplotlib.pyplot as plt<\/p>\n
plt.imshow(image)<\/p>\n
plt.axis('off')<\/p>\n
plt.show()<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u83b7\u53d6\u56fe\u7247\u4fe1\u606f<\/h4>\n<\/p>\n
\u8bfb\u53d6\u56fe\u7247\u4e4b\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u53d6\u56fe\u7247\u7684\u5c3a\u5bf8\u7b49\u4fe1\u606f\uff1a<\/p>\n<\/p>\n
print(f"Shape: {image.shape}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
4\u3001\u4fdd\u5b58\u56fe\u7247<\/h4>\n<\/p>\n
imageio\u8fd8\u63d0\u4f9b\u4e86\u4fdd\u5b58\u56fe\u7247\u7684\u529f\u80fd\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u56fe\u7247<\/p>\n
imageio.imwrite('path\/to\/saved_image.jpg', image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python3.7\u4e2d\u8bfb\u53d6\u56fe\u7247\u6709\u591a\u79cd\u65b9\u6cd5\uff0c\u4e3b\u8981\u5305\u62ecPIL\uff08Pillow\u5e93\uff09\u3001OpenCV\u3001matplotlib\u548cimageio\u7b49\u3002\u4e0d\u540c\u7684\u65b9\u6cd5\u6709\u4e0d\u540c\u7684\u7279\u70b9\u548c\u9002\u7528\u573a\u666f\uff1a<\/p>\n<\/p>\n
    \n
  • PIL\uff08Pillow\u5e93\uff09<\/strong>\uff1a\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0c\u6613\u4e8e\u4f7f\u7528\u3002<\/li>\n
  • OpenCV<\/strong>\uff1a\u9002\u7528\u4e8e\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u673a\u5668\u5b66\u4e60\u4efb\u52a1\uff0c\u529f\u80fd\u4e30\u5bcc\uff0c\u4f46\u9700\u8981\u66f4\u591a\u7684\u5b66\u4e60\u6210\u672c\u3002<\/li>\n
  • matplotlib<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8e\u6570\u636e\u53ef\u89c6\u5316\uff0c\u4f46\u4e5f\u53ef\u4ee5\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u8bfb\u53d6\u548c\u663e\u793a\u3002<\/li>\n
  • imageio<\/strong>\uff1a\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u9700\u8981\u8bfb\u53d6\u548c\u5199\u5165\u591a\u79cd\u683c\u5f0f\u56fe\u50cf\u7684\u573a\u666f\u3002<\/li>\n<\/ul>\n
    \u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5b8c\u6210\u56fe\u50cf\u8bfb\u53d6\u548c\u5904\u7406\u4efb\u52a1\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5728Python 3.7\u4e2d\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\uff1f<\/strong>
    Python 3.7\u652f\u6301\u591a\u79cd\u56fe\u7247\u683c\u5f0f\u7684\u8bfb\u53d6\uff0c\u5305\u62ecJPEG\u3001PNG\u3001GIF\u7b49\u3002\u4f7f\u7528PIL\u5e93\uff08Pillow\uff09\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u3002\u5b89\u88c5Pillow\u5e93\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528Image.open()<\/code>\u51fd\u6570\u6253\u5f00\u56fe\u7247\u5e76\u8fdb\u884c\u540e\u7eed\u5904\u7406\uff0c\u6bd4\u5982\u663e\u793a\u6216\u8f6c\u6362\u683c\u5f0f\u3002<\/p>\n
    \u4f7f\u7528Python 3.7\u8bfb\u53d6\u56fe\u7247\u65f6\u9047\u5230\u9519\u8bef\u8be5\u5982\u4f55\u89e3\u51b3\uff1f<\/strong>
    \u5728\u8bfb\u53d6\u56fe\u7247\u65f6\u53ef\u80fd\u4f1a\u9047\u5230\u6587\u4ef6\u8def\u5f84\u9519\u8bef\u6216\u683c\u5f0f\u4e0d\u652f\u6301\u7b49\u95ee\u9898\u3002\u786e\u4fdd\u6307\u5b9a\u7684\u6587\u4ef6\u8def\u5f84\u6b63\u786e\uff0c\u4e14\u56fe\u7247\u683c\u5f0f\u5728Pillow\u652f\u6301\u7684\u8303\u56f4\u5185\u3002\u5982\u679c\u62a5\u9519\uff0c\u8bf7\u68c0\u67e5\u9519\u8bef\u4fe1\u606f\u5e76\u8fdb\u884c\u76f8\u5e94\u7684\u8c03\u6574\uff0c\u6bd4\u5982\u786e\u4fdd\u6587\u4ef6\u5b58\u5728\u6216\u8005\u66f4\u65b0Pillow\u5e93\u3002<\/p>\n
    \u662f\u5426\u53ef\u4ee5\u5728Python 3.7\u4e2d\u540c\u65f6\u8bfb\u53d6\u548c\u5904\u7406\u591a\u5f20\u56fe\u7247\uff1f<\/strong>
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