{"id":1180577,"date":"2025-01-15T18:38:38","date_gmt":"2025-01-15T10:38:38","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1180577.html"},"modified":"2025-01-15T18:38:48","modified_gmt":"2025-01-15T10:38:48","slug":"python%e5%a6%82%e4%bd%95%e6%94%b9%e5%8f%98%e5%9b%be%e7%89%87%e7%9a%84%e5%a4%a7%e5%b0%8f","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1180577.html","title":{"rendered":"python\u5982\u4f55\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f"},"content":{"rendered":"

\"python\u5982\u4f55\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\"<\/p>\n

\u8981\u4f7f\u7528Python\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fPillow\u3001OpenCV\u548cscikit-image\u3002Pillow\u3001OpenCV\u3001scikit-image<\/strong>\uff0c\u8fd9\u4e09\u4e2a\u5e93\u90fd\u53ef\u4ee5\u5e2e\u52a9\u4f60\u65b9\u4fbf\u5730\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u5e93\u6765\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\u3002<\/p>\n<\/p>\n

\u4e00\u3001Pillow\u5e93<\/h3>\n<\/p>\n

1\u3001\u5b89\u88c5Pillow<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install Pillow<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Pillow\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/h4>\n<\/p>\n
\u4f7f\u7528Pillow\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\u975e\u5e38\u7b80\u5355\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
\u6253\u5f00\u4e00\u5f20\u56fe\u7247<\/strong><\/h2>\n
image = Image.open('example.jpg')<\/p>\n
\u8bbe\u7f6e\u65b0\u7684\u5c3a\u5bf8<\/strong><\/h2>\n
new_size = (800, 600)<\/p>\n
\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/strong><\/h2>\n
resized_image = image.resize(new_size)<\/p>\n
\u4fdd\u5b58\u65b0\u7684\u56fe\u7247<\/strong><\/h2>\n
resized_image.save('resized_example.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u4e86\u4e00\u5f20\u56fe\u7247\uff0c\u7136\u540e\u4f7f\u7528resize<\/code>\u65b9\u6cd5\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u5e76\u4fdd\u5b58\u4e86\u65b0\u7684\u56fe\u7247\u3002Pillow\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u7b80\u5355\u6613\u7528\u3001\u529f\u80fd\u5168\u9762<\/strong>\u3002<\/p>\n<\/p>\n
\u4e8c\u3001OpenCV\u5e93<\/h3>\n<\/p>\n
1\u3001\u5b89\u88c5OpenCV<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5OpenCV\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install opencv-python<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528OpenCV\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/h4>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4f7f\u7528OpenCV\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import cv2<\/p>\n
\u8bfb\u53d6\u4e00\u5f20\u56fe\u7247<\/strong><\/h2>\n
image = cv2.imread('example.jpg')<\/p>\n
\u8bbe\u7f6e\u65b0\u7684\u5c3a\u5bf8<\/strong><\/h2>\n
new_size = (800, 600)<\/p>\n
\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/strong><\/h2>\n
resized_image = cv2.resize(image, new_size)<\/p>\n
\u4fdd\u5b58\u65b0\u7684\u56fe\u7247<\/strong><\/h2>\n
cv2.imwrite('resized_example.jpg', resized_image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528cv2.imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u4e86\u4e00\u5f20\u56fe\u7247\uff0c\u7136\u540e\u4f7f\u7528cv2.resize<\/code>\u65b9\u6cd5\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u5e76\u4f7f\u7528cv2.imwrite<\/code>\u65b9\u6cd5\u4fdd\u5b58\u4e86\u65b0\u7684\u56fe\u7247\u3002OpenCV\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u80fd\u529b\u548c\u5e7f\u6cdb\u7684\u5e94\u7528\u573a\u666f<\/strong>\u3002<\/p>\n<\/p>\n
\u4e09\u3001scikit-image\u5e93<\/h3>\n<\/p>\n
1\u3001\u5b89\u88c5scikit-image<\/h4>\n<\/p>\n
\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5scikit-image\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install scikit-image<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528scikit-image\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/h4>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4f7f\u7528scikit-image\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from skimage import io<\/p>\n
from skimage.transform import resize<\/p>\n
\u8bfb\u53d6\u4e00\u5f20\u56fe\u7247<\/strong><\/h2>\n
image = io.imread('example.jpg')<\/p>\n
\u8bbe\u7f6e\u65b0\u7684\u5c3a\u5bf8<\/strong><\/h2>\n
new_size = (600, 800)  # \u6ce8\u610fscikit-image\u7684\u5c3a\u5bf8\u662f (\u9ad8\u5ea6, \u5bbd\u5ea6)<\/p>\n
\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/strong><\/h2>\n
resized_image = resize(image, new_size, anti_aliasing=True)<\/p>\n
\u4fdd\u5b58\u65b0\u7684\u56fe\u7247<\/strong><\/h2>\n
io.imsave('resized_example.jpg', resized_image)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528io.imread<\/code>\u65b9\u6cd5\u8bfb\u53d6\u4e86\u4e00\u5f20\u56fe\u7247\uff0c\u7136\u540e\u4f7f\u7528resize<\/code>\u65b9\u6cd5\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u5e76\u4f7f\u7528io.imsave<\/code>\u65b9\u6cd5\u4fdd\u5b58\u4e86\u65b0\u7684\u56fe\u7247\u3002scikit-image\u7684\u4f18\u52bf\u5728\u4e8e\u5176\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u548c\u7b80\u6d01\u7684API\u8bbe\u8ba1<\/strong>\u3002<\/p>\n<\/p>\n
\u56db\u3001\u5177\u4f53\u5e94\u7528\u573a\u666f<\/h3>\n<\/p>\n
1\u3001\u6279\u91cf\u5904\u7406\u56fe\u7247<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u6279\u91cf\u5904\u7406\u591a\u4e2a\u56fe\u7247\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Pillow\u6279\u91cf\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
import os<\/p>\n
\u8bbe\u7f6e\u56fe\u7247\u6587\u4ef6\u5939\u8def\u5f84<\/strong><\/h2>\n
input_folder = 'input_images'<\/p>\n
output_folder = 'output_images'<\/p>\n
new_size = (800, 600)<\/p>\n
\u5982\u679c\u8f93\u51fa\u6587\u4ef6\u5939\u4e0d\u5b58\u5728\uff0c\u5219\u521b\u5efa<\/strong><\/h2>\n
if not os.path.exists(output_folder):<\/p>\n
    os.makedirs(output_folder)<\/p>\n
\u6279\u91cf\u5904\u7406\u56fe\u7247<\/strong><\/h2>\n
for filename in os.listdir(input_folder):<\/p>\n
    if filename.endswith('.jpg') or filename.endswith('.png'):<\/p>\n
        image = Image.open(os.path.join(input_folder, filename))<\/p>\n
        resized_image = image.resize(new_size)<\/p>\n
        resized_image.save(os.path.join(output_folder, filename))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u904d\u5386\u8f93\u5165\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u56fe\u7247\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528Pillow\u6539\u53d8\u6bcf\u5f20\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u7136\u540e\u4fdd\u5b58\u5230\u8f93\u51fa\u6587\u4ef6\u5939\u4e2d\u3002<\/p>\n<\/p>\n
2\u3001\u4fdd\u6301\u56fe\u7247\u6bd4\u4f8b<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u4f60\u53ef\u80fd\u5e0c\u671b\u5728\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u65f6\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\u4f8b\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Pillow\u4fdd\u6301\u56fe\u7247\u6bd4\u4f8b\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
from PIL import Image<\/p>\n
def resize_image_keep_aspect_ratio(image, base_width):<\/p>\n
    w_percent = (base_width \/ float(image.size[0]))<\/p>\n
    h_size = int((float(image.size[1]) * float(w_percent)))<\/p>\n
    return image.resize((base_width, h_size), Image.ANTIALIAS)<\/p>\n
\u6253\u5f00\u4e00\u5f20\u56fe\u7247<\/strong><\/h2>\n
image = Image.open('example.jpg')<\/p>\n
base_width = 800<\/p>\n
\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u5e76\u4fdd\u6301\u6bd4\u4f8b<\/strong><\/h2>\n
resized_image = resize_image_keep_aspect_ratio(image, base_width)<\/p>\n
\u4fdd\u5b58\u65b0\u7684\u56fe\u7247<\/strong><\/h2>\n
resized_image.save('resized_example.jpg')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u5b9a\u4e49\u4e86\u4e00\u4e2aresize_image_keep_aspect_ratio<\/code>\u51fd\u6570\uff0c\u8be5\u51fd\u6570\u6839\u636e\u7ed9\u5b9a\u7684\u5bbd\u5ea6\u8ba1\u7b97\u65b0\u7684\u9ad8\u5ea6\uff0c\u4ece\u800c\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\u4f8b\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u4f7f\u7528Python\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u7684\u4e09\u79cd\u5e38\u7528\u65b9\u6cd5\uff0c\u5206\u522b\u662fPillow\u3001OpenCV\u548cscikit-image\u3002Pillow\u9002\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\uff0cOpenCV\u9002\u7528\u4e8e\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\uff0cscikit-image\u9002\u7528\u4e8e\u79d1\u5b66\u8ba1\u7b97\u548c\u56fe\u50cf\u5206\u6790<\/strong>\u3002\u6b64\u5916\uff0c\u6211\u4eec\u8fd8\u4ecb\u7ecd\u4e86\u6279\u91cf\u5904\u7406\u56fe\u7247\u548c\u4fdd\u6301\u56fe\u7247\u6bd4\u4f8b\u7684\u65b9\u6cd5\u3002\u5e0c\u671b\u672c\u6587\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u4f7f\u7528Python\u6765\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u5e93\u6765\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u6765\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u6700\u5e38\u89c1\u7684\u6709PIL\uff08Pillow\uff09\u548cOpenCV\u3002\u4f7f\u7528Pillow\u65f6\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7Image.open()<\/code>\u6253\u5f00\u56fe\u7247\uff0c\u63a5\u7740\u4f7f\u7528resize()<\/code>\u65b9\u6cd5\u6765\u8c03\u6574\u5927\u5c0f\u3002\u4f8b\u5982\uff1a<\/p>\n
from PIL import Image\n\nimage = Image.open('image.jpg')\nresized_image = image.resize((width, height))\nresized_image.save('resized_image.jpg')\n<\/code><\/pre>\n
\u4f7f\u7528OpenCV\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528cv2.resize()<\/code>\u51fd\u6570\u6765\u6539\u53d8\u56fe\u7247\u7684\u5c3a\u5bf8\u3002\u793a\u4f8b\u5982\u4e0b\uff1a<\/p>\n
import cv2\n\nimage = cv2.imread('image.jpg')\nresized_image = cv2.resize(image, (width, height))\ncv2.imwrite('resized_image.jpg', resized_image)\n<\/code><\/pre>\n
\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u65f6\uff0c\u5e94\u8be5\u6ce8\u610f\u54ea\u4e9b\u53c2\u6570\uff1f<\/strong>
\u5728\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u65f6\uff0c\u6709\u51e0\u4e2a\u91cd\u8981\u7684\u53c2\u6570\u9700\u8981\u8003\u8651\u3002\u9996\u5148\uff0c\u76ee\u6807\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u9700\u8981\u5408\u7406\u8bbe\u7f6e\uff0c\u4ee5\u4fdd\u6301\u56fe\u7247\u7684\u6e05\u6670\u5ea6\u548c\u6bd4\u4f8b\u3002\u5176\u6b21\uff0c\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u63d2\u503c\u65b9\u6cd5\uff0c\u5982BILINEAR<\/code>\u3001BICUBIC<\/code>\u7b49\uff0c\u8fd9\u4f1a\u5f71\u54cd\u5230\u56fe\u7247\u7684\u8d28\u91cf\u548c\u5904\u7406\u901f\u5ea6\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u4f7f\u7528Python\u6539\u53d8\u591a\u5f20\u56fe\u7247\u7684\u5927\u5c0f\uff1f<\/strong>
\u5f53\u7136\u53ef\u4ee5\u3002\u53ef\u4ee5\u901a\u8fc7\u5faa\u73af\u904d\u5386\u4e00\u4e2a\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u56fe\u7247\uff0c\u5229\u7528\u4e0a\u8ff0\u65b9\u6cd5\u6279\u91cf\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\u3002\u53ea\u9700\u4f7f\u7528os<\/code>\u5e93\u83b7\u53d6\u6587\u4ef6\u5939\u4e2d\u7684\u56fe\u7247\u6587\u4ef6\u540d\uff0c\u7136\u540e\u9010\u4e00\u5904\u7406\u3002\u4f8b\u5982\uff1a<\/p>\n
import os\nfrom PIL import Image\n\nfolder_path = 'images'\nfor filename in os.listdir(folder_path):\n    if filename.endswith('.jpg') or filename.endswith('.png'):\n        image_path = os.path.join(folder_path, filename)\n        image = Image.open(image_path)\n        resized_image = image.resize((width, height))\n        resized_image.save(os.path.join(folder_path, 'resized_' + filename))\n<\/code><\/pre>\n
\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u60a8\u53ef\u4ee5\u5feb\u901f\u5904\u7406\u6574\u4e2a\u6587\u4ef6\u5939\u4e2d\u7684\u56fe\u7247\uff0c\u8282\u7701\u65f6\u95f4\u548c\u7cbe\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u4f7f\u7528Python\u6539\u53d8\u56fe\u7247\u7684\u5927\u5c0f\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u662fPillow\u3001OpenCV\u548csciki […]","protected":false},"author":3,"featured_media":1180594,"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\/1180577"}],"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=1180577"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180577\/revisions"}],"predecessor-version":[{"id":1180595,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180577\/revisions\/1180595"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1180594"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1180577"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1180577"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1180577"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}