{"id":1009183,"date":"2024-12-27T11:09:32","date_gmt":"2024-12-27T03:09:32","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1009183.html"},"modified":"2024-12-27T11:09:35","modified_gmt":"2024-12-27T03:09:35","slug":"python%e5%a6%82%e4%bd%95%e4%bf%ae%e6%94%b9%e7%85%a7%e7%89%87%e5%b0%ba%e5%af%b8","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1009183.html","title":{"rendered":"python\u5982\u4f55\u4fee\u6539\u7167\u7247\u5c3a\u5bf8"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25084209\/a077f3e8-0fdc-4b37-bcec-9af0b40d6540.webp\" alt=\"python\u5982\u4f55\u4fee\u6539\u7167\u7247\u5c3a\u5bf8\" \/><\/p>\n<p><p> <strong>\u4f7f\u7528Python\u4fee\u6539\u7167\u7247\u5c3a\u5bf8\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528PIL\uff08Python Imaging Library\uff09\u3001OpenCV\u548cscikit-image\u5e93\u3002PIL\u5e93\u662f\u6700\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u7b80\u5355\u6613\u7528\u3001\u529f\u80fd\u5f3a\u5927\u3002<\/strong>\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u4fee\u6539\u7167\u7247\u5c3a\u5bf8\uff0c\u5e76\u63d0\u4f9b\u4ee3\u7801\u793a\u4f8b\u548c\u6b65\u9aa4\u6307\u5357\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528PIL\u5e93\u4fee\u6539\u7167\u7247\u5c3a\u5bf8<\/p>\n<\/p>\n<p><p>Python Imaging Library\uff08PIL\uff09\u662fPython\u4e2d\u5904\u7406\u56fe\u50cf\u7684\u5f3a\u5927\u5e93\uff0c\u5b83\u4e3a\u56fe\u50cf\u64cd\u4f5c\u63d0\u4f9b\u4e86\u5e7f\u6cdb\u7684\u529f\u80fd\u3002Pillow\u662fPIL\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u652f\u6301Python 3\uff0c\u5e76\u5728\u529f\u80fd\u4e0a\u6709\u6240\u589e\u5f3a\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5Pillow\u5e93<\/li>\n<\/ol>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528Pillow\u4fee\u6539\u56fe\u50cf\u5c3a\u5bf8<\/li>\n<\/ol>\n<p><p>Pillow\u5e93\u63d0\u4f9b\u4e86\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u6253\u5f00\u3001\u4fee\u6539\u548c\u4fdd\u5b58\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u6f14\u793a\u5982\u4f55\u4f7f\u7528Pillow\u6765\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>def resize_image(input_image_path, output_image_path, size):<\/p>\n<p>    with Image.open(input_image_path) as image:<\/p>\n<p>        resized_image = image.resize(size)<\/p>\n<p>        resized_image.save(output_image_path)<\/p>\n<h2><strong>\u793a\u4f8b<\/strong><\/h2>\n<p>resize_image(&#39;input.jpg&#39;, &#39;output.jpg&#39;, (800, 600))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>resize_image<\/code>\u51fd\u6570\u63a5\u53d7\u8f93\u5165\u56fe\u50cf\u8def\u5f84\u3001\u8f93\u51fa\u56fe\u50cf\u8def\u5f84\u548c\u76ee\u6807\u5c3a\u5bf8\u4f5c\u4e3a\u53c2\u6570\u3002<code>Image.open()<\/code>\u51fd\u6570\u7528\u4e8e\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0c<code>resize()<\/code>\u65b9\u6cd5\u7528\u4e8e\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\uff0c<code>save()<\/code>\u65b9\u6cd5\u7528\u4e8e\u4fdd\u5b58\u8c03\u6574\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<ol start=\"3\">\n<li>\u4fdd\u6301\u5bbd\u9ad8\u6bd4<\/li>\n<\/ol>\n<p><p>\u5728\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u65f6\uff0c\u901a\u5e38\u9700\u8981\u4fdd\u6301\u539f\u59cb\u5bbd\u9ad8\u6bd4\uff0c\u4ee5\u907f\u514d\u56fe\u50cf\u5931\u771f\u3002\u53ef\u4ee5\u4f7f\u7528<code>thumbn<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>l()<\/code>\u65b9\u6cd5\u6765\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>def resize_image_with_aspect_ratio(input_image_path, output_image_path, max_size):<\/p>\n<p>    with Image.open(input_image_path) as image:<\/p>\n<p>        image.thumbnail(max_size)<\/p>\n<p>        image.save(output_image_path)<\/p>\n<h2><strong>\u793a\u4f8b<\/strong><\/h2>\n<p>resize_image_with_aspect_ratio(&#39;input.jpg&#39;, &#39;output.jpg&#39;, (800, 800))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>thumbnail()<\/code>\u65b9\u6cd5\u4f1a\u6839\u636e\u7ed9\u5b9a\u7684\u6700\u5927\u5c3a\u5bf8\u8c03\u6574\u56fe\u50cf\u5927\u5c0f\uff0c\u5e76\u81ea\u52a8\u4fdd\u6301\u5bbd\u9ad8\u6bd4\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528OpenCV\u4fee\u6539\u7167\u7247\u5c3a\u5bf8<\/p>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u5177\u6709\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002\u5b83\u5728\u5904\u7406\u5927\u578b\u56fe\u50cf\u6587\u4ef6\u65f6\u6027\u80fd\u4f18\u8d8a\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5OpenCV\u5e93<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5OpenCV\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528OpenCV\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528OpenCV\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>def resize_image_with_opencv(input_image_path, output_image_path, size):<\/p>\n<p>    image = cv2.imread(input_image_path)<\/p>\n<p>    resized_image = cv2.resize(image, size, interpolation=cv2.INTER_AREA)<\/p>\n<p>    cv2.imwrite(output_image_path, resized_image)<\/p>\n<h2><strong>\u793a\u4f8b<\/strong><\/h2>\n<p>resize_image_with_opencv(&#39;input.jpg&#39;, &#39;output.jpg&#39;, (800, 600))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>cv2.imread()<\/code>\u7528\u4e8e\u8bfb\u53d6\u56fe\u50cf\uff0c<code>cv2.resize()<\/code>\u7528\u4e8e\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\uff0c\u5e76\u4e14\u53ef\u4ee5\u9009\u62e9\u4e0d\u540c\u7684\u63d2\u503c\u65b9\u6cd5\uff08\u5982<code>INTER_AREA<\/code>\u3001<code>INTER_LINEAR<\/code>\u7b49\uff09\u6765\u5e73\u8861\u901f\u5ea6\u548c\u8d28\u91cf\u3002<code>cv2.imwrite()<\/code>\u7528\u4e8e\u4fdd\u5b58\u8c03\u6574\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u4f7f\u7528scikit-image\u4fee\u6539\u7167\u7247\u5c3a\u5bf8<\/p>\n<\/p>\n<p><p>scikit-image\u662f\u4e00\u4e2a\u57fa\u4e8escipy\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\u548c\u56fe\u50cf\u5206\u6790\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5scikit-image\u5e93<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5scikit-image\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install scikit-image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u4f7f\u7528scikit-image\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528scikit-image\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from skimage import io, transform<\/p>\n<p>def resize_image_with_skimage(input_image_path, output_image_path, size):<\/p>\n<p>    image = io.imread(input_image_path)<\/p>\n<p>    resized_image = transform.resize(image, size, anti_aliasing=True)<\/p>\n<p>    io.imsave(output_image_path, (resized_image * 255).astype(&#39;uint8&#39;))<\/p>\n<h2><strong>\u793a\u4f8b<\/strong><\/h2>\n<p>resize_image_with_skimage(&#39;input.jpg&#39;, &#39;output.jpg&#39;, (800, 600))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>io.imread()<\/code>\u7528\u4e8e\u8bfb\u53d6\u56fe\u50cf\uff0c<code>transform.resize()<\/code>\u7528\u4e8e\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\uff0c\u5e76\u4e14\u53ef\u4ee5\u901a\u8fc7<code>anti_aliasing<\/code>\u53c2\u6570\u6765\u51cf\u5c11\u952f\u9f7f\u6548\u679c\u3002<code>io.imsave()<\/code>\u7528\u4e8e\u4fdd\u5b58\u8c03\u6574\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><p>\u56db\u3001\u6279\u91cf\u5904\u7406\u56fe\u50cf\u5c3a\u5bf8<\/p>\n<\/p>\n<p><p>\u5728\u5904\u7406\u591a\u4e2a\u56fe\u50cf\u65f6\uff0c\u901a\u5e38\u9700\u8981\u6279\u91cf\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u3002\u53ef\u4ee5\u4f7f\u7528Python\u7684<code>os<\/code>\u5e93\u7ed3\u5408\u4e0a\u8ff0\u65b9\u6cd5\u8fdb\u884c\u6279\u91cf\u5904\u7406\u3002<\/p>\n<\/p>\n<ol>\n<li>\u4f7f\u7528Pillow\u6279\u91cf\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8<\/li>\n<\/ol>\n<p><p>\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528Pillow\u6279\u91cf\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>from PIL import Image<\/p>\n<p>def batch_resize_images(input_folder, output_folder, size):<\/p>\n<p>    if not os.path.exists(output_folder):<\/p>\n<p>        os.makedirs(output_folder)<\/p>\n<p>    for filename in os.listdir(input_folder):<\/p>\n<p>        if filename.endswith((&#39;.jpg&#39;, &#39;.jpeg&#39;, &#39;.png&#39;)):<\/p>\n<p>            input_image_path = os.path.join(input_folder, filename)<\/p>\n<p>            output_image_path = os.path.join(output_folder, filename)<\/p>\n<p>            with Image.open(input_image_path) as image:<\/p>\n<p>                image.thumbnail(size)<\/p>\n<p>                image.save(output_image_path)<\/p>\n<h2><strong>\u793a\u4f8b<\/strong><\/h2>\n<p>batch_resize_images(&#39;input_folder&#39;, &#39;output_folder&#39;, (800, 800))<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c<code>os.listdir()<\/code>\u7528\u4e8e\u83b7\u53d6\u8f93\u5165\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u6587\u4ef6\uff0c<code>os.path.join()<\/code>\u7528\u4e8e\u6784\u5efa\u8f93\u5165\u548c\u8f93\u51fa\u56fe\u50cf\u7684\u5b8c\u6574\u8def\u5f84\u3002<code>image.thumbnail()<\/code>\u7528\u4e8e\u6279\u91cf\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u5e76\u4fdd\u6301\u5bbd\u9ad8\u6bd4\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u56fe\u50cf\u5c3a\u5bf8\u8c03\u6574\u7684\u6ce8\u610f\u4e8b\u9879<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u56fe\u50cf\u8d28\u91cf<\/strong>\uff1a\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u53ef\u80fd\u4f1a\u5f71\u54cd\u56fe\u50cf\u8d28\u91cf\u3002\u9009\u62e9\u5408\u9002\u7684\u63d2\u503c\u65b9\u6cd5\uff08\u5982<code>INTER_AREA<\/code>\u3001<code>INTER_LINEAR<\/code>\uff09\u53ef\u4ee5\u5e2e\u52a9\u63d0\u9ad8\u8d28\u91cf\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u56fe\u50cf\u683c\u5f0f<\/strong>\uff1a\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u540e\uff0c\u53ef\u4ee5\u9009\u62e9\u4fdd\u5b58\u4e3a\u4e0d\u540c\u683c\u5f0f\uff08\u5982JPEG\u3001PNG\uff09\u4ee5\u9002\u5e94\u4e0d\u540c\u7684\u4f7f\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u6027\u80fd\u4f18\u5316<\/strong>\uff1a\u5f53\u5904\u7406\u5927\u91cf\u5927\u5c3a\u5bf8\u56fe\u50cf\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u8003\u8651\u6027\u80fd\u95ee\u9898\u3002\u9009\u62e9\u5408\u9002\u7684\u5e93\u548c\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u4fdd\u6301\u5bbd\u9ad8\u6bd4<\/strong>\uff1a\u5728\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\u65f6\uff0c\u901a\u5e38\u9700\u8981\u4fdd\u6301\u5bbd\u9ad8\u6bd4\uff0c\u4ee5\u907f\u514d\u56fe\u50cf\u5931\u771f\u3002\u53ef\u4ee5\u4f7f\u7528<code>thumbnail()<\/code>\u6216\u624b\u52a8\u8ba1\u7b97\u65b0\u7684\u5bbd\u9ad8\u6bd4\u6765\u5b9e\u73b0\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u4f60\u5e94\u8be5\u80fd\u591f\u719f\u7ec3\u4f7f\u7528Python\u8c03\u6574\u56fe\u50cf\u5c3a\u5bf8\uff0c\u5e76\u9009\u62e9\u9002\u5408\u4f60\u9700\u6c42\u7684\u65b9\u6cd5\u548c\u5e93\u3002\u5728\u5904\u7406\u56fe\u50cf\u65f6\uff0c\u52a1\u5fc5\u8003\u8651\u8d28\u91cf\u548c\u6027\u80fd\uff0c\u4ee5\u83b7\u5f97\u6700\u4f73\u6548\u679c\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528PIL\u5e93\u4fee\u6539\u7167\u7247\u5c3a\u5bf8\uff1f<\/strong><br \/>\u4f7f\u7528PIL\uff08Python Imaging Library\uff09\u5e93\u53ef\u4ee5\u65b9\u4fbf\u5730\u8c03\u6574\u7167\u7247\u5c3a\u5bf8\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5PIL\u5e93\uff0c\u5efa\u8bae\u4f7f\u7528Pillow\uff0c\u8fd9\u662fPIL\u7684\u4e00\u4e2a\u5206\u652f\u3002\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>pip install Pillow<\/code>\u6765\u5b89\u88c5\u3002\u63a5\u4e0b\u6765\uff0c\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u52a0\u8f7d\u56fe\u50cf\u5e76\u8c03\u6574\u5176\u5927\u5c0f\uff1a<\/p>\n<pre><code class=\"language-python\">from PIL import Image\n\n# \u6253\u5f00\u56fe\u50cf\u6587\u4ef6\nimg = Image.open(&#39;your_image.jpg&#39;)\n\n# \u8c03\u6574\u5c3a\u5bf8\nimg_resized = img.resize((new_width, new_height))\n\n# \u4fdd\u5b58\u8c03\u6574\u540e\u7684\u56fe\u50cf\nimg_resized.save(&#39;resized_image.jpg&#39;)\n<\/code><\/pre>\n<p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c<code>new_width<\/code>\u548c<code>new_height<\/code>\u4e3a\u60a8\u5e0c\u671b\u4fee\u6539\u7684\u5c3a\u5bf8\u3002<\/p>\n<p><strong>\u5982\u4f55\u4fdd\u6301\u7167\u7247\u7684\u957f\u5bbd\u6bd4\u8fdb\u884c\u5c3a\u5bf8\u8c03\u6574\uff1f<\/strong><br \/>\u5728\u4fee\u6539\u7167\u7247\u5c3a\u5bf8\u65f6\uff0c\u4fdd\u6301\u957f\u5bbd\u6bd4\u975e\u5e38\u91cd\u8981\uff0c\u4ee5\u907f\u514d\u56fe\u50cf\u5931\u771f\u3002\u53ef\u4ee5\u901a\u8fc7\u8ba1\u7b97\u65b0\u7684\u5bbd\u5ea6\u548c\u9ad8\u5ea6\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u5982\u679c\u60a8\u5e0c\u671b\u5c06\u56fe\u50cf\u7684\u5bbd\u5ea6\u8c03\u6574\u4e3a200\u50cf\u7d20\uff0c\u800c\u4fdd\u6301\u957f\u5bbd\u6bd4\uff0c\u53ef\u4ee5\u4f7f\u7528\u5982\u4e0b\u4ee3\u7801\uff1a<\/p>\n<pre><code class=\"language-python\">base_width = 200\nw_percent = (base_width \/ float(img.size[0]))\nh_size = int((float(img.size[1]) * float(w_percent)))\nimg_resized = img.resize((base_width, h_size), Image.ANTIALIAS)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u60a8\u5c31\u53ef\u4ee5\u786e\u4fdd\u8c03\u6574\u540e\u7684\u56fe\u50cf\u4e0d\u4f1a\u53d8\u5f62\u3002<\/p>\n<p><strong>\u5982\u4f55\u6279\u91cf\u4fee\u6539\u591a\u4e2a\u7167\u7247\u7684\u5c3a\u5bf8\uff1f<\/strong><br \/>\u5982\u679c\u9700\u8981\u6279\u91cf\u5904\u7406\u591a\u4e2a\u56fe\u50cf\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u6765\u904d\u5386\u6587\u4ef6\u5939\u4e2d\u7684\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u53ef\u4ee5\u8c03\u6574\u6587\u4ef6\u5939\u5185\u6240\u6709JPEG\u56fe\u50cf\u7684\u5c3a\u5bf8\uff1a<\/p>\n<pre><code class=\"language-python\">import os\nfrom PIL import Image\n\n# \u6307\u5b9a\u6587\u4ef6\u5939\u8def\u5f84\nfolder_path = &#39;your_folder_path&#39;\nnew_size = (800, 600)\n\nfor filename in os.listdir(folder_path):\n    if filename.endswith(&#39;.jpg&#39;) or filename.endswith(&#39;.jpeg&#39;):\n        img = Image.open(os.path.join(folder_path, filename))\n        img_resized = img.resize(new_size)\n        img_resized.save(os.path.join(folder_path, &#39;resized_&#39; + filename))\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u6279\u91cf\u4fee\u6539\u7167\u7247\u7684\u5c3a\u5bf8\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u4f7f\u7528Python\u4fee\u6539\u7167\u7247\u5c3a\u5bf8\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u5e38\u7528\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528PIL\uff08Python Imaging Li [&hellip;]","protected":false},"author":3,"featured_media":1009190,"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\/1009183"}],"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=1009183"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1009183\/revisions"}],"predecessor-version":[{"id":1009192,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1009183\/revisions\/1009192"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1009190"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1009183"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1009183"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1009183"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}