{"id":1000926,"date":"2024-12-27T09:54:41","date_gmt":"2024-12-27T01:54:41","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1000926.html"},"modified":"2024-12-27T09:54:56","modified_gmt":"2024-12-27T01:54:56","slug":"python%e4%b8%ad%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\/1000926.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8bfb\u53d6\u56fe\u7247"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25075330\/2b65ebe2-023b-43b7-afdb-5373802ad4ea.webp\" alt=\"python\u4e2d\u5982\u4f55\u8bfb\u53d6\u56fe\u7247\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u7247\uff0c\u901a\u5e38\u4f7f\u7528\u7684\u5e93\u6709OpenCV\u3001PIL\uff08Pillow\uff09\u548cmatplotlib\uff0c\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528cv2.imread()\u3001Image.open()\u4ee5\u53caplt.imread()\u3002OpenCV\u9002\u5408\u4e8e\u9700\u8981\u8fdb\u884c\u590d\u6742\u56fe\u50cf\u5904\u7406\u7684\u573a\u5408\uff0cPIL\u7b80\u5355\u6613\u7528\uff0c\u9002\u5408\u4e8e\u57fa\u672c\u56fe\u50cf\u64cd\u4f5c\uff0c\u800cmatplotlib\u5219\u9002\u5408\u4e8e\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\u5feb\u901f\u52a0\u8f7d\u548c\u663e\u793a\u56fe\u50cf\u3002<\/strong>\u5728\u8fd9\u91cc\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u8bb2\u89e3\u5982\u4f55\u4f7f\u7528\u8fd9\u4e09\u79cd\u65b9\u6cd5\u8bfb\u53d6\u56fe\u7247\uff0c\u5e76\u6df1\u5165\u63a2\u8ba8\u8fd9\u4e9b\u65b9\u6cd5\u7684\u4f18\u7f3a\u70b9\u548c\u9002\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247<\/p>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u652f\u6301\u591a\u79cd\u7f16\u7a0b\u8bed\u8a00\u3002\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u662f\u8bb8\u591a\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u7684\u9996\u9009\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u548c\u5bfc\u5165OpenCV<\/li>\n<\/ol>\n<p><p>\u8981\u4f7f\u7528OpenCV\u8bfb\u53d6\u56fe\u7247\uff0c\u9996\u5148\u9700\u8981\u5b89\u88c5OpenCV\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip\u547d\u4ee4\u6765\u5b89\u88c5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165OpenCV\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8bfb\u53d6\u56fe\u7247<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528<code>cv2.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u7247\u3002\u8be5\u51fd\u6570\u8fd4\u56de\u4e00\u4e2anumpy\u6570\u7ec4\uff0c\u8868\u793a\u56fe\u7247\u7684\u50cf\u7d20\u77e9\u9635\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u56fe\u7247<\/p>\n<p>image = cv2.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u68c0\u67e5\u56fe\u7247\u662f\u5426\u8bfb\u53d6\u6210\u529f<\/strong><\/h2>\n<p>if image is None:<\/p>\n<p>    print(&quot;F<a href=\"https:\/\/docs.pingcode.com\/blog\/59162.html\" target=\"_blank\">AI<\/a>led to read image&quot;)<\/p>\n<p>else:<\/p>\n<p>    print(&quot;Image read successfully&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li>\u663e\u793a\u56fe\u7247<\/li>\n<\/ol>\n<p><p>OpenCV\u63d0\u4f9b\u4e86<code>cv2.imshow()<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u7247\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0cOpenCV\u7684\u7a97\u53e3\u5728\u663e\u793a\u65f6\u9700\u8981\u7b49\u5f85\u7528\u6237\u6309\u952e\u64cd\u4f5c\u624d\u80fd\u5173\u95ed\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u663e\u793a\u56fe\u7247<\/p>\n<p>cv2.imshow(&#39;Image&#39;, image)<\/p>\n<h2><strong>\u7b49\u5f85\u7528\u6237\u6309\u952e\u64cd\u4f5c<\/strong><\/h2>\n<p>cv2.waitKey(0)<\/p>\n<h2><strong>\u9500\u6bc1\u6240\u6709\u7a97\u53e3<\/strong><\/h2>\n<p>cv2.destroyAllWindows()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"4\">\n<li>OpenCV\u7684\u4f18\u7f3a\u70b9<\/li>\n<\/ol>\n<p><p><strong>\u4f18\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u529f\u80fd\u5f3a\u5927<\/strong>\uff1a\u652f\u6301\u591a\u79cd\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\uff0c\u5982\u56fe\u50cf\u53d8\u6362\u3001\u6ee4\u6ce2\u3001\u7279\u5f81\u68c0\u6d4b\u7b49\u3002<\/li>\n<li><strong>\u6027\u80fd\u4f18\u8d8a<\/strong>\uff1aC++\u5b9e\u73b0\uff0c\u5177\u6709\u8f83\u9ad8\u7684\u6027\u80fd\uff0c\u9002\u5408\u5b9e\u65f6\u5904\u7406\u3002<\/li>\n<\/ul>\n<p><p><strong>\u7f3a\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u989c\u8272\u901a\u9053\u987a\u5e8f<\/strong>\uff1aOpenCV\u8bfb\u53d6\u7684\u56fe\u7247\u4e3aBGR\u683c\u5f0f\uff0c\u4e0e\u5e38\u89c1\u7684RGB\u683c\u5f0f\u4e0d\u540c\uff0c\u9700\u8981\u989d\u5916\u8f6c\u6362\u3002<\/li>\n<li><strong>\u590d\u6742\u6027<\/strong>\uff1a\u5bf9\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u64cd\u4f5c\u6765\u8bf4\uff0cOpenCV\u53ef\u80fd\u663e\u5f97\u8fc7\u4e8e\u590d\u6742\u3002<\/li>\n<\/ul>\n<p><p>\u4e8c\u3001\u4f7f\u7528PIL\uff08Pillow\uff09\u8bfb\u53d6\u56fe\u7247<\/p>\n<\/p>\n<p><p>Pillow\u662fPython Imaging Library\uff08PIL\uff09\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u662f\u5904\u7406\u56fe\u50cf\u7684\u53e6\u4e00\u79cd\u6d41\u884c\u9009\u62e9\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u548c\u5bfc\u5165Pillow<\/li>\n<\/ol>\n<p><p>\u9996\u5148\u9700\u8981\u5b89\u88c5Pillow\u5e93\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install Pillow<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165Image\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8bfb\u53d6\u56fe\u7247<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528<code>Image.open()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u7247\u3002\u8be5\u51fd\u6570\u8fd4\u56de\u4e00\u4e2aImage\u5bf9\u8c61\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u56fe\u7247<\/p>\n<p>image = Image.open(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u7247\u4fe1\u606f<\/strong><\/h2>\n<p>print(image.format, image.size, image.mode)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li>\u663e\u793a\u56fe\u7247<\/li>\n<\/ol>\n<p><p>Pillow\u63d0\u4f9b\u4e86<code>show()<\/code>\u65b9\u6cd5\u6765\u663e\u793a\u56fe\u7247\uff0c\u9002\u7528\u4e8e\u7b80\u5355\u7684\u663e\u793a\u9700\u6c42\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u663e\u793a\u56fe\u7247<\/p>\n<p>image.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"4\">\n<li>PIL\u7684\u4f18\u7f3a\u70b9<\/li>\n<\/ol>\n<p><p><strong>\u4f18\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u7b80\u5355\u6613\u7528<\/strong>\uff1a\u9002\u5408\u4e8e\u57fa\u672c\u7684\u56fe\u50cf\u64cd\u4f5c\uff0c\u5982\u88c1\u526a\u3001\u65cb\u8f6c\u3001\u8c03\u6574\u5927\u5c0f\u7b49\u3002<\/li>\n<li><strong>\u683c\u5f0f\u652f\u6301\u5e7f\u6cdb<\/strong>\uff1a\u652f\u6301\u591a\u79cd\u56fe\u7247\u683c\u5f0f\uff0c\u5982JPEG\u3001PNG\u3001BMP\u7b49\u3002<\/li>\n<\/ul>\n<p><p><strong>\u7f3a\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u6027\u80fd<\/strong>\uff1a\u5728\u4e00\u4e9b\u590d\u6742\u7684\u56fe\u50cf\u5904\u7406\u4efb\u52a1\u4e2d\uff0c\u6027\u80fd\u4e0d\u5982OpenCV\u3002<\/li>\n<li><strong>\u529f\u80fd\u6709\u9650<\/strong>\uff1a\u4e0d\u9002\u5408\u9700\u8981\u590d\u6742\u56fe\u50cf\u5904\u7406\u7684\u573a\u5408\u3002<\/li>\n<\/ul>\n<p><p>\u4e09\u3001\u4f7f\u7528Matplotlib\u8bfb\u53d6\u56fe\u7247<\/p>\n<\/p>\n<p><p>Matplotlib\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u6570\u636e\u53ef\u89c6\u5316\u5e93\uff0c\u4e5f\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6\u548c\u663e\u793a\u56fe\u7247\u3002<\/p>\n<\/p>\n<ol>\n<li>\u5b89\u88c5\u548c\u5bfc\u5165Matplotlib<\/li>\n<\/ol>\n<p><p>Matplotlib\u901a\u5e38\u5728\u6570\u636e\u79d1\u5b66\u73af\u5883\u4e2d\u9884\u88c5\u3002\u5982\u679c\u672a\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-bash\">pip install matplotlib<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u7136\u540e\u5728Python\u811a\u672c\u4e2d\u5bfc\u5165pyplot\u6a21\u5757\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<p>import matplotlib.image as mpimg<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li>\u8bfb\u53d6\u56fe\u7247<\/li>\n<\/ol>\n<p><p>\u4f7f\u7528<code>mpimg.imread()<\/code>\u51fd\u6570\u8bfb\u53d6\u56fe\u7247\uff0c\u8fd4\u56denumpy\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u8bfb\u53d6\u56fe\u7247<\/p>\n<p>image = mpimg.imread(&#39;path_to_image.jpg&#39;)<\/p>\n<h2><strong>\u6253\u5370\u56fe\u7247\u4fe1\u606f<\/strong><\/h2>\n<p>print(image.shape)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"3\">\n<li>\u663e\u793a\u56fe\u7247<\/li>\n<\/ol>\n<p><p>Matplotlib\u63d0\u4f9b\u4e86<code>plt.imshow()<\/code>\u51fd\u6570\u6765\u663e\u793a\u56fe\u7247\uff0c\u4e0e\u5176\u4ed6\u56fe\u8868\u663e\u793a\u65b9\u5f0f\u4e00\u81f4\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u663e\u793a\u56fe\u7247<\/p>\n<p>plt.imshow(image)<\/p>\n<h2><strong>\u663e\u793a\u56fe\u50cf\u7a97\u53e3<\/strong><\/h2>\n<p>plt.axis(&#39;off&#39;)  # \u5173\u95ed\u5750\u6807\u8f74<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"4\">\n<li>Matplotlib\u7684\u4f18\u7f3a\u70b9<\/li>\n<\/ol>\n<p><p><strong>\u4f18\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u96c6\u6210\u6027<\/strong>\uff1a\u4fbf\u4e8e\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\u7ed3\u5408\u5176\u4ed6\u56fe\u8868\u8fdb\u884c\u663e\u793a\u3002<\/li>\n<li><strong>\u6613\u7528\u6027<\/strong>\uff1a\u4e0e\u5176\u4ed6\u53ef\u89c6\u5316\u529f\u80fd\u65e0\u7f1d\u96c6\u6210\uff0c\u9002\u5408\u5feb\u901f\u5c55\u793a\u3002<\/li>\n<\/ul>\n<p><p><strong>\u7f3a\u70b9<\/strong>\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u529f\u80fd\u6709\u9650<\/strong>\uff1a\u4e3b\u8981\u7528\u4e8e\u663e\u793a\uff0c\u7f3a\u4e4f\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002<\/li>\n<li><strong>\u6027\u80fd<\/strong>\uff1a\u5728\u5904\u7406\u5927\u56fe\u50cf\u65f6\uff0c\u6027\u80fd\u4e0d\u5982OpenCV\u3002<\/li>\n<\/ul>\n<p><p>\u56db\u3001\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177<\/p>\n<\/p>\n<p><p>\u5728\u9009\u62e9\u8bfb\u53d6\u56fe\u7247\u7684\u5de5\u5177\u65f6\uff0c\u5e94\u8be5\u6839\u636e\u5177\u4f53\u9700\u6c42\u8fdb\u884c\u9009\u62e9\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>OpenCV<\/strong>\uff1a\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u590d\u6742\u56fe\u50cf\u5904\u7406\u7684\u573a\u5408\uff0c\u5982\u8ba1\u7b97\u673a\u89c6\u89c9\u4efb\u52a1\u3002<\/li>\n<li><strong>PIL\uff08Pillow\uff09<\/strong>\uff1a\u9002\u7528\u4e8e\u7b80\u5355\u7684\u56fe\u50cf\u64cd\u4f5c\u548c\u683c\u5f0f\u8f6c\u6362\u3002<\/li>\n<li><strong>Matplotlib<\/strong>\uff1a\u9002\u7528\u4e8e\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\u9700\u8981\u5feb\u901f\u52a0\u8f7d\u548c\u663e\u793a\u56fe\u7247\u7684\u573a\u5408\u3002<\/li>\n<\/ul>\n<p><p>\u4e94\u3001\u5176\u4ed6\u56fe\u50cf\u5904\u7406\u5e93<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4e0a\u8ff0\u4e09\u79cd\u5e38\u7528\u5e93\uff0c\u8fd8\u6709\u4e00\u4e9b\u5176\u4ed6\u56fe\u50cf\u5904\u7406\u5e93\u53ef\u4ee5\u8003\u8651\uff1a<\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>scikit-image<\/strong>\uff1a\u57fa\u4e8escikit-learn\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u591a\u79cd\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u9002\u5408<a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u4efb\u52a1\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>imageio<\/strong>\uff1a\u652f\u6301\u591a\u79cd\u56fe\u50cf\u548c\u89c6\u9891\u683c\u5f0f\u7684\u8bfb\u53d6\u548c\u5199\u5165\uff0c\u9002\u5408\u9700\u8981\u5904\u7406\u591a\u79cd\u5a92\u4f53\u683c\u5f0f\u7684\u573a\u5408\u3002<\/p>\n<\/p>\n<\/li>\n<li>\n<p><strong>TensorFlow\u548cPyTorch<\/strong>\uff1a\u5728\u6df1\u5ea6\u5b66\u4e60\u4efb\u52a1\u4e2d\uff0c\u8fd9\u4e24\u4e2a\u6846\u67b6\u63d0\u4f9b\u4e86\u8bfb\u53d6\u548c\u9884\u5904\u7406\u56fe\u50cf\u7684\u5de5\u5177\uff0c\u9002\u5408\u4e8e\u6df1\u5ea6\u5b66\u4e60\u6a21\u578b\u7684\u8bad\u7ec3\u548c\u63a8\u7406\u3002<\/p>\n<\/p>\n<\/li>\n<\/ol>\n<p><p>\u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u7247\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\u80fd\u591f\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u548c\u4ee3\u7801\u7684\u53ef\u7ef4\u62a4\u6027\u3002OpenCV\u3001PIL\u548cMatplotlib\u662f\u4e09\u79cd\u5e38\u7528\u7684\u9009\u62e9\uff0c\u5404\u6709\u4f18\u7f3a\u70b9\uff0c\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u5408\u3002\u5728\u8fdb\u884c\u9879\u76ee\u5f00\u53d1\u65f6\uff0c\u5e94\u8be5\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u548c\u573a\u666f\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\uff0c\u4ee5\u8fbe\u5230\u6700\u4f73\u6548\u679c\u3002\u968f\u7740\u6280\u672f\u7684\u53d1\u5c55\uff0c\u65b0\u7684\u56fe\u50cf\u5904\u7406\u5e93\u548c\u65b9\u6cd5\u4e5f\u5728\u4e0d\u65ad\u6d8c\u73b0\uff0c\u4fdd\u6301\u5bf9\u6700\u65b0\u6280\u672f\u7684\u5173\u6ce8\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u7247\uff1f<\/strong><br \/>Python\u652f\u6301\u591a\u79cd\u56fe\u50cf\u683c\u5f0f\u7684\u8bfb\u53d6\uff0c\u4f8b\u5982JPEG\u3001PNG\u3001GIF\u7b49\u3002\u4f7f\u7528Pillow\u5e93\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u8fd9\u4e9b\u683c\u5f0f\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u5b89\u88c5Pillow\u5e93\uff08\u53ef\u4ee5\u901a\u8fc7<code>pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\uff09\u3002\u63a5\u7740\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6\u4e00\u5f20\u56fe\u7247\uff1a  <\/p>\n<pre><code class=\"language-python\">from PIL import Image\n\nimage = Image.open(&#39;path_to_image.jpg&#39;)\nimage.show()\n<\/code><\/pre>\n<p>\u8fd9\u6bb5\u4ee3\u7801\u4f1a\u6253\u5f00\u6307\u5b9a\u8def\u5f84\u7684\u56fe\u7247\uff0c\u5e76\u5728\u9ed8\u8ba4\u56fe\u50cf\u67e5\u770b\u5668\u4e2d\u663e\u793a\u3002<\/p>\n<p><strong>\u8bfb\u53d6\u56fe\u7247\u65f6\u5982\u4f55\u5904\u7406\u6587\u4ef6\u8def\u5f84\u548c\u9519\u8bef\uff1f<\/strong><br \/>\u5728\u5904\u7406\u6587\u4ef6\u8def\u5f84\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>os<\/code>\u6a21\u5757\u6765\u786e\u4fdd\u8def\u5f84\u7684\u6b63\u786e\u6027\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>os.path.join()<\/code>\u53ef\u4ee5\u907f\u514d\u624b\u52a8\u62fc\u63a5\u8def\u5f84\u5e26\u6765\u7684\u9519\u8bef\u3002\u5982\u679c\u6587\u4ef6\u4e0d\u5b58\u5728\uff0c\u5efa\u8bae\u4f7f\u7528<code>try-except<\/code>\u8bed\u53e5\u6355\u83b7\u5f02\u5e38\uff0c\u9632\u6b62\u7a0b\u5e8f\u5d29\u6e83\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import os\nfrom PIL import Image\n\nfile_path = os.path.join(&#39;images&#39;, &#39;example.jpg&#39;)\n\ntry:\n    image = Image.open(file_path)\n    image.show()\nexcept FileNotFoundError:\n    print(&quot;\u6587\u4ef6\u672a\u627e\u5230\uff0c\u8bf7\u68c0\u67e5\u8def\u5f84\u3002&quot;)\n<\/code><\/pre>\n<p><strong>\u5982\u4f55\u5728\u8bfb\u53d6\u56fe\u7247\u540e\u8fdb\u884c\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\uff1f<\/strong><br \/>\u8bfb\u53d6\u56fe\u7247\u540e\uff0c\u53ef\u4ee5\u8fdb\u884c\u5404\u79cd\u57fa\u672c\u56fe\u50cf\u5904\u7406\uff0c\u6bd4\u5982\u8c03\u6574\u5927\u5c0f\u3001\u65cb\u8f6c\u548c\u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u89c1\u7684\u56fe\u50cf\u5904\u7406\u793a\u4f8b\uff1a  <\/p>\n<pre><code class=\"language-python\"># \u8c03\u6574\u5927\u5c0f\nresized_image = image.resize((100, 100))\n\n# \u65cb\u8f6c\nrotated_image = image.rotate(90)\n\n# \u8f6c\u6362\u4e3a\u7070\u5ea6\u56fe\u50cf\ngray_image = image.convert(&#39;L&#39;)\n\n# \u663e\u793a\u5904\u7406\u540e\u7684\u56fe\u50cf\nresized_image.show()\nrotated_image.show()\ngray_image.show()\n<\/code><\/pre>\n<p>\u901a\u8fc7\u8fd9\u4e9b\u7b80\u5355\u7684\u64cd\u4f5c\uff0c\u7528\u6237\u53ef\u4ee5\u8f7b\u677e\u5b9e\u73b0\u5bf9\u56fe\u50cf\u7684\u57fa\u672c\u5904\u7406\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bfb\u53d6\u56fe\u7247\uff0c\u901a\u5e38\u4f7f\u7528\u7684\u5e93\u6709OpenCV\u3001PIL\uff08Pillow\uff09\u548cmatplotlib\uff0c\u5177\u4f53\u65b9\u6cd5\u5305 [&hellip;]","protected":false},"author":3,"featured_media":1000952,"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\/1000926"}],"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=1000926"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1000926\/revisions"}],"predecessor-version":[{"id":1000954,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1000926\/revisions\/1000954"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1000952"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1000926"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1000926"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1000926"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}