{"id":1078452,"date":"2025-01-08T12:11:46","date_gmt":"2025-01-08T04:11:46","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1078452.html"},"modified":"2025-01-08T12:11:48","modified_gmt":"2025-01-08T04:11:48","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e6%89%b9%e9%87%8f%e5%a4%84%e7%90%86%e5%9b%be%e7%89%87%e5%a4%a7%e5%b0%8f-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1078452.html","title":{"rendered":"\u5982\u4f55\u7528python\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/24182010\/4b3a2043-9215-467a-8d29-4fd7c33f2237.webp\" alt=\"\u5982\u4f55\u7528python\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f\" \/><\/p>\n<p><p> <strong>\u7528Python\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u3001\u6279\u5904\u7406\u811a\u672c\u548c\u591a\u7ebf\u7a0b\u7f16\u7a0b\uff0c\u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u9ad8\u6548\u5730\u5904\u7406\u5927\u91cf\u56fe\u7247\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u4f7f\u7528Pillow\u5e93\u662f\u5176\u4e2d\u6700\u63a8\u8350\u7684\u65b9\u6cd5\uff0c\u56e0\u4e3a\u5b83\u6613\u4e8e\u4f7f\u7528\u4e14\u529f\u80fd\u5f3a\u5927\u3002Pillow\u662fPython Imaging Library (PIL) \u7684\u5206\u652f\uff0c\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u56fe\u50cf\u6587\u4ef6\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u63cf\u8ff0\u5982\u4f55\u7528Pillow\u5e93\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001Pillow\u5e93\u7684\u5b89\u88c5\u548c\u57fa\u672c\u64cd\u4f5c<\/h3>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5Pillow\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u4f60\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\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<p><h4>2\u3001\u4f7f\u7528Pillow\u5e93\u8bfb\u53d6\u548c\u4fee\u6539\u56fe\u7247\u5927\u5c0f<\/h4>\n<\/p>\n<p><p>Pillow\u5e93\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u65b9\u6cd5\u6765\u5904\u7406\u56fe\u50cf\uff0c\u5305\u62ec\u6253\u5f00\u3001\u663e\u793a\u3001\u4fdd\u5b58\u548c\u6539\u53d8\u56fe\u50cf\u5927\u5c0f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u57fa\u672c\u793a\u4f8b\uff0c\u6f14\u793a\u5982\u4f55\u8bfb\u53d6\u548c\u4fee\u6539\u56fe\u50cf\u7684\u5927\u5c0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u6253\u5f00\u4e00\u5f20\u56fe\u7247<\/strong><\/h2>\n<p>image = Image.open(&#39;example.jpg&#39;)<\/p>\n<h2><strong>\u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/strong><\/h2>\n<p>new_image = image.resize((800, 600))<\/p>\n<h2><strong>\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u7247<\/strong><\/h2>\n<p>new_image.save(&#39;example_resized.jpg&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e8c\u3001\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f<\/h3>\n<\/p>\n<p><h4>1\u3001\u904d\u5386\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u8981\u6279\u91cf\u5904\u7406\u56fe\u7247\uff0c\u6211\u4eec\u9700\u8981\u904d\u5386\u6307\u5b9a\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u56fe\u7247\u6587\u4ef6\uff0c\u5e76\u5bf9\u6bcf\u4e00\u5f20\u56fe\u7247\u6267\u884c\u76f8\u540c\u7684\u64cd\u4f5c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff0c\u5c55\u793a\u5982\u4f55\u904d\u5386\u6587\u4ef6\u5939\u5e76\u6279\u91cf\u4fee\u6539\u56fe\u7247\u5927\u5c0f\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>from PIL import Image<\/p>\n<p>def resize_images(input_folder, output_folder, size):<\/p>\n<p>    # \u786e\u4fdd\u8f93\u51fa\u6587\u4ef6\u5939\u5b58\u5728<\/p>\n<p>    if not os.path.exists(output_folder):<\/p>\n<p>        os.makedirs(output_folder)<\/p>\n<p>    # \u904d\u5386\u8f93\u5165\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u6587\u4ef6<\/p>\n<p>    for filename in os.listdir(input_folder):<\/p>\n<p>        if filename.endswith(&#39;.jpg&#39;) or filename.endswith(&#39;.png&#39;):<\/p>\n<p>            image_path = os.path.join(input_folder, filename)<\/p>\n<p>            image = Image.open(image_path)<\/p>\n<p>            # \u6539\u53d8\u56fe\u7247\u5927\u5c0f<\/p>\n<p>            new_image = image.resize(size)<\/p>\n<p>            # \u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u7247\u5230\u8f93\u51fa\u6587\u4ef6\u5939<\/p>\n<p>            new_image.save(os.path.join(output_folder, filename))<\/p>\n<p>    print(&quot;\u6240\u6709\u56fe\u7247\u5904\u7406\u5b8c\u6210\uff01&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n<p>input_folder = &#39;path\/to\/input\/folder&#39;<\/p>\n<p>output_folder = &#39;path\/to\/output\/folder&#39;<\/p>\n<p>size = (800, 600)<\/p>\n<p>resize_images(input_folder, output_folder, size)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u4f18\u5316\u6279\u91cf\u5904\u7406\u6548\u7387<\/h3>\n<\/p>\n<p><h4>1\u3001\u4f7f\u7528\u591a\u7ebf\u7a0b<\/h4>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5927\u91cf\u56fe\u7247\u65f6\uff0c\u591a\u7ebf\u7a0b\u53ef\u4ee5\u663e\u8457\u63d0\u5347\u5904\u7406\u6548\u7387\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u4f7f\u7528\u591a\u7ebf\u7a0b\u6279\u91cf\u5904\u7406\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>from PIL import Image<\/p>\n<p>import concurrent.futures<\/p>\n<p>def resize_image(image_path, output_folder, size):<\/p>\n<p>    try:<\/p>\n<p>        image = Image.open(image_path)<\/p>\n<p>        new_image = image.resize(size)<\/p>\n<p>        new_image.save(os.path.join(output_folder, os.path.basename(image_path)))<\/p>\n<p>        print(f&quot;{os.path.basename(image_path)} \u5904\u7406\u5b8c\u6210&quot;)<\/p>\n<p>    except Exception as e:<\/p>\n<p>        print(f&quot;\u5904\u7406 {os.path.basename(image_path)} \u65f6\u51fa\u9519: {e}&quot;)<\/p>\n<p>def resize_images_multithreaded(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>    image_paths = [os.path.join(input_folder, filename) for filename in os.listdir(input_folder) if filename.endswith(&#39;.jpg&#39;) or filename.endswith(&#39;.png&#39;)]<\/p>\n<p>    with concurrent.futures.ThreadPoolExecutor() as executor:<\/p>\n<p>        executor.map(resize_image, image_paths, [output_folder]*len(image_paths), [size]*len(image_paths))<\/p>\n<p>    print(&quot;\u6240\u6709\u56fe\u7247\u5904\u7406\u5b8c\u6210\uff01&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n<p>input_folder = &#39;path\/to\/input\/folder&#39;<\/p>\n<p>output_folder = &#39;path\/to\/output\/folder&#39;<\/p>\n<p>size = (800, 600)<\/p>\n<p>resize_images_multithreaded(input_folder, output_folder, size)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u56db\u3001\u4f7f\u7528OpenCV\u5e93\u5904\u7406\u56fe\u7247<\/h3>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u89c6\u9891\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u4f7f\u7528OpenCV\u5e93\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5OpenCV\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u5b89\u88c5OpenCV\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u4f7f\u7528OpenCV\u5e93\u5904\u7406\u56fe\u7247\u5927\u5c0f<\/h4>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>import cv2<\/p>\n<p>def resize_images_with_opencv(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;) or filename.endswith(&#39;.png&#39;):<\/p>\n<p>            image_path = os.path.join(input_folder, filename)<\/p>\n<p>            image = cv2.imread(image_path)<\/p>\n<p>            new_image = cv2.resize(image, size)<\/p>\n<p>            cv2.imwrite(os.path.join(output_folder, filename), new_image)<\/p>\n<p>    print(&quot;\u6240\u6709\u56fe\u7247\u5904\u7406\u5b8c\u6210\uff01&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n<p>input_folder = &#39;path\/to\/input\/folder&#39;<\/p>\n<p>output_folder = &#39;path\/to\/output\/folder&#39;<\/p>\n<p>size = (800, 600)<\/p>\n<p>resize_images_with_opencv(input_folder, output_folder, size)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e94\u3001\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247<\/h3>\n<\/p>\n<p><p>\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u5404\u79cd\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>from PIL import Image<\/p>\n<p>def 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.lower().endswith((&#39;.jpg&#39;, &#39;.jpeg&#39;, &#39;.png&#39;, &#39;.bmp&#39;, &#39;.gif&#39;)):<\/p>\n<p>            image_path = os.path.join(input_folder, filename)<\/p>\n<p>            image = Image.open(image_path)<\/p>\n<p>            new_image = image.resize(size)<\/p>\n<p>            new_filename = os.path.splitext(filename)[0] + &#39;.jpg&#39;<\/p>\n<p>            new_image.save(os.path.join(output_folder, new_filename))<\/p>\n<p>    print(&quot;\u6240\u6709\u56fe\u7247\u5904\u7406\u5b8c\u6210\uff01&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n<p>input_folder = &#39;path\/to\/input\/folder&#39;<\/p>\n<p>output_folder = &#39;path\/to\/output\/folder&#39;<\/p>\n<p>size = (800, 600)<\/p>\n<p>resize_images(input_folder, output_folder, size)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u516d\u3001\u5904\u7406\u56fe\u7247\u65f6\u7684\u5176\u4ed6\u6ce8\u610f\u4e8b\u9879<\/h3>\n<\/p>\n<p><h4>1\u3001\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\u4f8b<\/h4>\n<\/p>\n<p><p>\u5728\u6539\u53d8\u56fe\u7247\u5927\u5c0f\u65f6\uff0c\u6709\u65f6\u9700\u8981\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\u4f8b\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u4fdd\u6301\u56fe\u7247\u7684\u5bbd\u9ad8\u6bd4\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 resize_image_with_aspect_ratio(image, base_width):<\/p>\n<p>    w_percent = (base_width \/ float(image.size[0]))<\/p>\n<p>    h_size = int((float(image.size[1]) * float(w_percent)))<\/p>\n<p>    return image.resize((base_width, h_size), Image.ANTIALIAS)<\/p>\n<p>def resize_images(input_folder, output_folder, base_width):<\/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.lower().endswith((&#39;.jpg&#39;, &#39;.jpeg&#39;, &#39;.png&#39;, &#39;.bmp&#39;, &#39;.gif&#39;)):<\/p>\n<p>            image_path = os.path.join(input_folder, filename)<\/p>\n<p>            image = Image.open(image_path)<\/p>\n<p>            new_image = resize_image_with_aspect_ratio(image, base_width)<\/p>\n<p>            new_filename = os.path.splitext(filename)[0] + &#39;.jpg&#39;<\/p>\n<p>            new_image.save(os.path.join(output_folder, new_filename))<\/p>\n<p>    print(&quot;\u6240\u6709\u56fe\u7247\u5904\u7406\u5b8c\u6210\uff01&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n<p>input_folder = &#39;path\/to\/input\/folder&#39;<\/p>\n<p>output_folder = &#39;path\/to\/output\/folder&#39;<\/p>\n<p>base_width = 800<\/p>\n<p>resize_images(input_folder, output_folder, base_width)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u5904\u7406\u4e0d\u540c\u989c\u8272\u6a21\u5f0f\u7684\u56fe\u7247<\/h4>\n<\/p>\n<p><p>\u5728\u5904\u7406\u56fe\u7247\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u4e0d\u540c\u989c\u8272\u6a21\u5f0f\u7684\u56fe\u7247\uff0c\u4f8b\u5982RGB\u3001RGBA\u3001\u7070\u5ea6\u7b49\u3002\u4ee5\u4e0b\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5904\u7406\u4e0d\u540c\u989c\u8272\u6a21\u5f0f\u7684\u56fe\u7247\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import os<\/p>\n<p>from PIL import Image<\/p>\n<p>def 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.lower().endswith((&#39;.jpg&#39;, &#39;.jpeg&#39;, &#39;.png&#39;, &#39;.bmp&#39;, &#39;.gif&#39;)):<\/p>\n<p>            image_path = os.path.join(input_folder, filename)<\/p>\n<p>            image = Image.open(image_path)<\/p>\n<p>            if image.mode in (&quot;RGBA&quot;, &quot;P&quot;):  # \u5904\u7406\u900f\u660e\u80cc\u666f<\/p>\n<p>                image = image.convert(&quot;RGB&quot;)<\/p>\n<p>            new_image = image.resize(size)<\/p>\n<p>            new_filename = os.path.splitext(filename)[0] + &#39;.jpg&#39;<\/p>\n<p>            new_image.save(os.path.join(output_folder, new_filename))<\/p>\n<p>    print(&quot;\u6240\u6709\u56fe\u7247\u5904\u7406\u5b8c\u6210\uff01&quot;)<\/p>\n<h2><strong>\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n<p>input_folder = &#39;path\/to\/input\/folder&#39;<\/p>\n<p>output_folder = &#39;path\/to\/output\/folder&#39;<\/p>\n<p>size = (800, 600)<\/p>\n<p>resize_images(input_folder, output_folder, size)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e03\u3001\u7ed3\u8bba<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528Python\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f\uff0c<strong>\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u3001\u6279\u5904\u7406\u811a\u672c\u548c\u591a\u7ebf\u7a0b\u7f16\u7a0b<\/strong>\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002\u6839\u636e\u5b9e\u9645\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u5e76\u6ce8\u610f\u5904\u7406\u4e0d\u540c\u683c\u5f0f\u548c\u989c\u8272\u6a21\u5f0f\u7684\u56fe\u7247\u3002\u5e0c\u671b\u672c\u6587\u80fd\u5e2e\u52a9\u4f60\u66f4\u9ad8\u6548\u5730\u5904\u7406\u5927\u91cf\u56fe\u7247\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u6279\u91cf\u4fee\u6539\u56fe\u7247\u5927\u5c0f\uff1f<\/strong><br \/>\u4f7f\u7528Python\u6279\u91cf\u4fee\u6539\u56fe\u7247\u5927\u5c0f\u901a\u5e38\u6d89\u53ca\u5230\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u5982PIL\uff08Pillow\uff09\u6216OpenCV\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528\u8fd9\u4e9b\u5e93\u4e2d\u7684\u51fd\u6570\u6765\u6253\u5f00\u56fe\u50cf\uff0c\u8c03\u6574\u5176\u5927\u5c0f\uff0c\u5e76\u4fdd\u5b58\u66f4\u6539\u540e\u7684\u56fe\u50cf\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u5bfc\u5165\u5e93\u3001\u904d\u5386\u76ee\u6807\u6587\u4ef6\u5939\u4e2d\u7684\u6240\u6709\u56fe\u50cf\u6587\u4ef6\u3001\u8c03\u6574\u6bcf\u5f20\u56fe\u50cf\u7684\u5927\u5c0f\u4ee5\u53ca\u5c06\u7ed3\u679c\u4fdd\u5b58\u5230\u6307\u5b9a\u76ee\u5f55\u3002<\/p>\n<p><strong>\u662f\u5426\u53ef\u4ee5\u901a\u8fc7Python\u811a\u672c\u81ea\u52a8\u8c03\u6574\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\u5927\u5c0f\uff1f<\/strong><br \/>\u662f\u7684\uff0cPython\u811a\u672c\u80fd\u591f\u5904\u7406\u591a\u79cd\u56fe\u7247\u683c\u5f0f\uff0c\u5305\u62ecJPEG\u3001PNG\u548cGIF\u7b49\u3002\u901a\u8fc7\u4f7f\u7528Pillow\u5e93\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u548c\u4fdd\u5b58\u8fd9\u4e9b\u683c\u5f0f\u7684\u56fe\u50cf\u3002\u53ea\u9700\u786e\u4fdd\u5728\u5904\u7406\u56fe\u50cf\u65f6\u6307\u5b9a\u6b63\u786e\u7684\u6587\u4ef6\u683c\u5f0f\u5373\u53ef\u3002<\/p>\n<p><strong>\u8c03\u6574\u56fe\u7247\u5927\u5c0f\u540e\uff0c\u8d28\u91cf\u4f1a\u53d7\u5230\u5f71\u54cd\u5417\uff1f<\/strong><br \/>\u8c03\u6574\u56fe\u7247\u5927\u5c0f\u53ef\u80fd\u4f1a\u5bfc\u81f4\u8d28\u91cf\u53d8\u5316\uff0c\u5c24\u5176\u662f\u5728\u5c06\u56fe\u50cf\u7f29\u5c0f\u6216\u653e\u5927\u65f6\u3002\u4f7f\u7528\u9ad8\u8d28\u91cf\u7684\u7b97\u6cd5\uff0c\u4f8b\u5982Pillow\u5e93\u4e2d\u7684<code>Image.ANTIALIAS<\/code>\u9009\u9879\uff0c\u53ef\u4ee5\u5728\u8c03\u6574\u5927\u5c0f\u65f6\u5c3d\u53ef\u80fd\u4fdd\u6301\u56fe\u50cf\u7684\u6e05\u6670\u5ea6\u548c\u8d28\u91cf\u3002\u6b64\u5916\uff0c\u60a8\u8fd8\u53ef\u4ee5\u901a\u8fc7\u9009\u62e9\u9002\u5f53\u7684\u683c\u5f0f\u548c\u538b\u7f29\u7ea7\u522b\u6765\u4f18\u5316\u6700\u7ec8\u56fe\u50cf\u7684\u8d28\u91cf\u4e0e\u6587\u4ef6\u5927\u5c0f\u4e4b\u95f4\u7684\u5e73\u8861\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u7528Python\u6279\u91cf\u5904\u7406\u56fe\u7247\u5927\u5c0f\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pillow\u5e93\u3001OpenCV\u5e93\u3001\u6279\u5904\u7406\u811a\u672c\u548c\u591a\u7ebf\u7a0b\u7f16\u7a0b\uff0c\u672c\u6587\u5c06\u8be6\u7ec6 [&hellip;]","protected":false},"author":3,"featured_media":1078459,"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\/1078452"}],"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=1078452"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078452\/revisions"}],"predecessor-version":[{"id":1078460,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1078452\/revisions\/1078460"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1078459"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1078452"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1078452"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1078452"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}