{"id":1135823,"date":"2025-01-08T21:29:27","date_gmt":"2025-01-08T13:29:27","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1135823.html"},"modified":"2025-01-08T21:29:44","modified_gmt":"2025-01-08T13:29:44","slug":"python%e5%a6%82%e4%bd%95%e6%8a%8a%e4%b8%80%e5%bc%a0%e5%9b%be%e7%89%87%e5%86%99%e5%85%a5%e5%88%b0%e5%86%85%e5%ad%98%e9%87%8c","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1135823.html","title":{"rendered":"python\u5982\u4f55\u628a\u4e00\u5f20\u56fe\u7247\u5199\u5165\u5230\u5185\u5b58\u91cc"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25104352\/547102d1-30a4-4184-9bba-f7d42be3ffb4.webp\" alt=\"python\u5982\u4f55\u628a\u4e00\u5f20\u56fe\u7247\u5199\u5165\u5230\u5185\u5b58\u91cc\" \/><\/p>\n<p><p> <strong>\u5728Python\u4e2d\uff0c\u5c06\u4e00\u5f20\u56fe\u7247\u5199\u5165\u5230\u5185\u5b58\u91cc\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528<\/strong><code>Pillow<\/code><strong>\u5e93\u3001<\/strong><code>io<\/code><strong>\u6a21\u5757\u3001<\/strong><code>numpy<\/code><strong>\u5e93<\/strong>\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u53ef\u4ee5\u8fdb\u4e00\u6b65\u8ba8\u8bba\u8fd9\u4e9b\u65b9\u6cd5\u7684\u5177\u4f53\u5b9e\u73b0\u548c\u5e94\u7528\u573a\u666f\u3002<strong>Pillow\u5e93<\/strong>\uff1aPillow\u662fPython Imaging Library\uff08PIL\uff09\u7684\u4e00\u4e2a\u5206\u652f\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\u3002<strong>io\u6a21\u5757<\/strong>\uff1a\u7528\u4e8e\u5728\u5185\u5b58\u4e2d\u5904\u7406\u4e8c\u8fdb\u5236\u6570\u636e\u6d41\u3002<strong>numpy\u5e93<\/strong>\uff1a\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u6570\u7ec4\u64cd\u4f5c\uff0c\u662f\u79d1\u5b66\u8ba1\u7b97\u7684\u57fa\u7840\u5e93\u4e4b\u4e00\u3002\u4e0b\u9762\u662f\u8be6\u7ec6\u7684\u4ecb\u7ecd\u3002<\/p>\n<\/p>\n<hr>\n<p><h3>\u4e00\u3001\u4f7f\u7528Pillow\u5e93<\/h3>\n<\/p>\n<p><p>Pillow\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u652f\u6301\u6253\u5f00\u3001\u64cd\u4f5c\u548c\u4fdd\u5b58\u8bb8\u591a\u4e0d\u540c\u683c\u5f0f\u7684\u56fe\u50cf\u6587\u4ef6\u3002\u5b83\u662f\u5904\u7406\u56fe\u50cf\u7684\u9996\u9009\u5e93\u4e4b\u4e00\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5Pillow<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5Pillow\u5e93\u3002\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\u52a0\u8f7d\u548c\u4fdd\u5b58\u56fe\u50cf<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528Pillow\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u56fe\u50cf\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import io<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/strong><\/h2>\n<p>image = Image.open(&#39;path\/to\/your\/image.jpg&#39;)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2aBytesIO\u5bf9\u8c61<\/strong><\/h2>\n<p>image_io = io.BytesIO()<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230BytesIO\u5bf9\u8c61\u4e2d<\/strong><\/h2>\n<p>image.save(image_io, format=&#39;JPEG&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u4e8c\u8fdb\u5236\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>image_data = image_io.getvalue()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>Image.open<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a<code>BytesIO<\/code>\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528<code>image.save<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230<code>BytesIO<\/code>\u5bf9\u8c61\u4e2d\u3002\u6700\u540e\uff0c\u6211\u4eec\u4f7f\u7528<code>getvalue<\/code>\u65b9\u6cd5\u83b7\u53d6\u4e8c\u8fdb\u5236\u56fe\u50cf\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>3\u3001\u4ece\u5185\u5b58\u4e2d\u52a0\u8f7d\u56fe\u50cf<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u60a8\u9700\u8981\u4ece\u5185\u5b58\u4e2d\u7684\u4e8c\u8fdb\u5236\u6570\u636e\u52a0\u8f7d\u56fe\u50cf\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u4e8c\u8fdb\u5236\u6570\u636e\u52a0\u8f7d\u56fe\u50cf<\/p>\n<p>image_io = io.BytesIO(image_data)<\/p>\n<p>image = Image.open(image_io)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u6837\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u56fe\u50cf\u6570\u636e\u52a0\u8f7d\u56de\u5185\u5b58\u4e2d\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528numpy\u5e93<\/h3>\n<\/p>\n<p><p>numpy\u5e93\u662f\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\u7684\u57fa\u7840\u5e93\u4e4b\u4e00\uff0c\u5e38\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u6570\u7ec4\u64cd\u4f5c\u3002\u4f7f\u7528numpy\u5e93\u53ef\u4ee5\u5c06\u56fe\u50cf\u6570\u636e\u8f6c\u6362\u4e3a\u6570\u7ec4\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u6570\u5b66\u8fd0\u7b97\u548c\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5numpy<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5numpy\u5e93\u3002\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 numpy<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u52a0\u8f7d\u56fe\u50cf\u5e76\u8f6c\u6362\u4e3anumpy\u6570\u7ec4<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528Pillow\u5e93\u52a0\u8f7d\u56fe\u50cf\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3anumpy\u6570\u7ec4\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/strong><\/h2>\n<p>image = Image.open(&#39;path\/to\/your\/image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u8f6c\u6362\u4e3anumpy\u6570\u7ec4<\/strong><\/h2>\n<p>image_array = np.array(image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>3\u3001\u5c06numpy\u6570\u7ec4\u4fdd\u5b58\u4e3a\u56fe\u50cf<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528Pillow\u5e93\u5c06numpy\u6570\u7ec4\u8f6c\u6362\u4e3a\u56fe\u50cf\uff0c\u5e76\u5c06\u5176\u4fdd\u5b58\u5230\u5185\u5b58\u4e2d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u5c06numpy\u6570\u7ec4\u8f6c\u6362\u4e3a\u56fe\u50cf<\/p>\n<p>image = Image.fromarray(image_array)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2aBytesIO\u5bf9\u8c61<\/strong><\/h2>\n<p>image_io = io.BytesIO()<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u4fdd\u5b58\u5230BytesIO\u5bf9\u8c61\u4e2d<\/strong><\/h2>\n<p>image.save(image_io, format=&#39;JPEG&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u4e8c\u8fdb\u5236\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>image_data = image_io.getvalue()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528OpenCV\u5e93<\/h3>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u548c\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u529f\u80fd\u5f3a\u5927\u4e14\u5e7f\u6cdb\u5e94\u7528\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u9886\u57df\u3002\u4f7f\u7528OpenCV\u5e93\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u56fe\u50cf\u6570\u636e\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5OpenCV<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u60a8\u9700\u8981\u5b89\u88c5OpenCV\u5e93\u3002\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 opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u52a0\u8f7d\u56fe\u50cf\u5e76\u4fdd\u5b58\u5230\u5185\u5b58\u4e2d<\/h4>\n<\/p>\n<p><p>\u4f7f\u7528OpenCV\u5e93\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u56fe\u50cf\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u5e76\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import cv2<\/p>\n<p>import numpy as np<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u50cf\u6587\u4ef6<\/strong><\/h2>\n<p>image = cv2.imread(&#39;path\/to\/your\/image.jpg&#39;)<\/p>\n<h2><strong>\u5c06\u56fe\u50cf\u6570\u636e\u8f6c\u6362\u4e3a\u4e8c\u8fdb\u5236\u683c\u5f0f<\/strong><\/h2>\n<p>_, image_data = cv2.imencode(&#39;.jpg&#39;, image)<\/p>\n<h2><strong>\u8f6c\u6362\u4e3a\u5b57\u8282\u6570\u7ec4<\/strong><\/h2>\n<p>image_bytes = image_data.tobytes()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>cv2.imread<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0c\u7136\u540e\u4f7f\u7528<code>cv2.imencode<\/code>\u65b9\u6cd5\u5c06\u56fe\u50cf\u6570\u636e\u8f6c\u6362\u4e3a\u4e8c\u8fdb\u5236\u683c\u5f0f\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u8282\u6570\u7ec4\u3002<\/p>\n<\/p>\n<p><h4>3\u3001\u4ece\u5185\u5b58\u4e2d\u52a0\u8f7d\u56fe\u50cf<\/h4>\n<\/p>\n<p><p>\u5982\u679c\u60a8\u9700\u8981\u4ece\u5185\u5b58\u4e2d\u7684\u4e8c\u8fdb\u5236\u6570\u636e\u52a0\u8f7d\u56fe\u50cf\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u4ece\u5b57\u8282\u6570\u7ec4\u52a0\u8f7d\u56fe\u50cf<\/p>\n<p>image_data = np.frombuffer(image_bytes, dtype=np.uint8)<\/p>\n<p>image = cv2.imdecode(image_data, cv2.IMREAD_COLOR)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u6837\uff0c\u60a8\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u56fe\u50cf\u6570\u636e\u52a0\u8f7d\u56de\u5185\u5b58\u4e2d\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u5e94\u7528\u573a\u666f\u548c\u4f18\u5316<\/h3>\n<\/p>\n<p><h4>1\u3001\u5e94\u7528\u573a\u666f<\/h4>\n<\/p>\n<p><p>\u5c06\u56fe\u50cf\u5199\u5165\u5185\u5b58\u4e2d\u7684\u64cd\u4f5c\u5728\u8bb8\u591a\u5e94\u7528\u573a\u666f\u4e2d\u975e\u5e38\u6709\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9<\/strong>\uff1a\u5728\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\u4e2d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u5bf9\u56fe\u50cf\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\u548c\u5904\u7406\uff0c\u4f8b\u5982\u6ee4\u6ce2\u3001\u8fb9\u7f18\u68c0\u6d4b\u548c\u7279\u5f81\u63d0\u53d6\u3002<\/li>\n<li><strong><a href=\"https:\/\/docs.pingcode.com\/ask\/59192.html\" target=\"_blank\">\u673a\u5668\u5b66\u4e60<\/a>\u548c\u6df1\u5ea6\u5b66\u4e60<\/strong>\uff1a\u5728\u673a\u5668\u5b66\u4e60\u548c\u6df1\u5ea6\u5b66\u4e60\u5e94\u7528\u4e2d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u5bf9\u56fe\u50cf\u6570\u636e\u8fdb\u884c\u9884\u5904\u7406\u548c\u589e\u5f3a\uff0c\u4ee5\u4fbf\u7528\u4e8e\u8bad\u7ec3\u548c\u6d4b\u8bd5\u6a21\u578b\u3002<\/li>\n<li><strong>Web\u5f00\u53d1<\/strong>\uff1a\u5728Web\u5f00\u53d1\u4e2d\uff0c\u60a8\u53ef\u80fd\u9700\u8981\u5904\u7406\u7528\u6237\u4e0a\u4f20\u7684\u56fe\u50cf\uff0c\u5e76\u5bf9\u5176\u8fdb\u884c\u5404\u79cd\u64cd\u4f5c\uff0c\u4f8b\u5982\u7f29\u653e\u3001\u88c1\u526a\u548c\u683c\u5f0f\u8f6c\u6362\u3002<\/li>\n<\/ul>\n<p><h4>2\u3001\u4f18\u5316<\/h4>\n<\/p>\n<p><p>\u5728\u5904\u7406\u5927\u89c4\u6a21\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u6027\u80fd\u548c\u5185\u5b58\u4f7f\u7528\u662f\u5173\u952e\u95ee\u9898\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u4f18\u5316\u5efa\u8bae\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b<\/strong>\uff1a\u5728\u5904\u7406\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\u53ef\u4ee5\u6709\u6548\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u3002\u4f8b\u5982\uff0c\u4f7f\u7528<code>uint8<\/code>\u7c7b\u578b\u800c\u4e0d\u662f<code>float32<\/code>\u7c7b\u578b\u3002<\/li>\n<li><strong>\u4f7f\u7528\u6279\u5904\u7406<\/strong>\uff1a\u5728\u5904\u7406\u5927\u89c4\u6a21\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u6279\u5904\u7406\u6280\u672f\uff0c\u4ee5\u51cf\u5c11I\/O\u64cd\u4f5c\u7684\u5f00\u9500\u3002<\/li>\n<li><strong>\u5e76\u884c\u5904\u7406<\/strong>\uff1a\u5728\u591a\u6838CPU\u4e0a\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e76\u884c\u5904\u7406\u6280\u672f\uff0c\u4ee5\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002\u4f8b\u5982\uff0c\u4f7f\u7528\u591a\u7ebf\u7a0b\u6216\u591a\u8fdb\u7a0b\u6280\u672f\u3002<\/li>\n<\/ul>\n<p><h3>\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pillow\u5e93\u3001io\u6a21\u5757\u3001numpy\u5e93\u548cOpenCV\u5e93\u5c06\u56fe\u50cf\u5199\u5165\u5230\u5185\u5b58\u4e2d\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u63d0\u9ad8\u5904\u7406\u6548\u7387\u548c\u6027\u80fd\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>Pillow\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u5404\u79cd\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\uff0c\u6613\u4e8e\u4f7f\u7528\u548c\u96c6\u6210\u3002<\/li>\n<li><strong>numpy\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u6570\u7ec4\u64cd\u4f5c\uff0c\u9002\u5408\u79d1\u5b66\u8ba1\u7b97\u548c\u6570\u636e\u5904\u7406\u3002<\/li>\n<li><strong>OpenCV\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u9ad8\u6548\u7684\u56fe\u50cf\u5904\u7406\u548c\u8ba1\u7b97\u673a\u89c6\u89c9\u5e94\u7528\uff0c\u529f\u80fd\u5f3a\u5927\u4e14\u5e7f\u6cdb\u5e94\u7528\u3002<\/li>\n<\/ul>\n<p><p>\u5728\u5904\u7406\u5927\u89c4\u6a21\u56fe\u50cf\u6570\u636e\u65f6\uff0c\u4f18\u5316\u5185\u5b58\u4f7f\u7528\u548c\u5904\u7406\u901f\u5ea6\u662f\u5173\u952e\u95ee\u9898\u3002\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\u3001\u4f7f\u7528\u6279\u5904\u7406\u548c\u5e76\u884c\u5904\u7406\u6280\u672f\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u5904\u7406\u6548\u7387\u3002<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u60a8\u5e94\u8be5\u80fd\u591f\u638c\u63e1\u5982\u4f55\u5728Python\u4e2d\u5c06\u56fe\u50cf\u5199\u5165\u5230\u5185\u5b58\u4e2d\uff0c\u5e76\u4e86\u89e3\u4e0d\u540c\u65b9\u6cd5\u7684\u4f18\u7f3a\u70b9\u548c\u9002\u7528\u573a\u666f\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u60a8\u7684\u5de5\u4f5c\u548c\u7814\u7a76\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u5c06\u56fe\u7247\u8bfb\u5165\u5185\u5b58\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\u6765\u5c06\u56fe\u7247\u8bfb\u5165\u5185\u5b58\u3002\u53ef\u4ee5\u901a\u8fc7<code>Image.open()<\/code>\u65b9\u6cd5\u6253\u5f00\u56fe\u7247\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5185\u5bb9\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\u3002\u9700\u8981\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7<code>pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">from PIL import Image\nimage = Image.open(&#39;path\/to\/image.jpg&#39;)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u56fe\u7247\u5c31\u88ab\u6210\u529f\u52a0\u8f7d\u5230\u5185\u5b58\u4e2d\uff0c\u53ef\u4ee5\u8fdb\u884c\u540e\u7eed\u5904\u7406\u3002<\/p>\n<p><strong>\u4f7f\u7528NumPy\u5e93\u5982\u4f55\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u6570\u7ec4\uff1f<\/strong><br \/>NumPy\u5e93\u53ef\u4ee5\u5c06\u56fe\u7247\u8f6c\u6362\u4e3a\u6570\u7ec4\uff0c\u8fd9\u5bf9\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u5206\u6790\u975e\u5e38\u6709\u7528\u3002\u53ef\u4ee5\u901a\u8fc7PIL\u5e93\u5c06\u56fe\u7247\u8bfb\u5165\u5185\u5b58\u540e\uff0c\u4f7f\u7528<code>np.array()<\/code>\u5c06\u5176\u8f6c\u6362\u4e3aNumPy\u6570\u7ec4\u3002\u793a\u4f8b\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n<pre><code class=\"language-python\">import numpy as np\nfrom PIL import Image\nimage = Image.open(&#39;path\/to\/image.jpg&#39;)\nimage_array = np.array(image)\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u5c31\u53ef\u4ee5\u5728\u5185\u5b58\u4e2d\u4ee5\u6570\u7ec4\u5f62\u5f0f\u64cd\u4f5c\u56fe\u7247\u6570\u636e\u3002<\/p>\n<p><strong>\u5728\u5185\u5b58\u4e2d\u4fdd\u5b58\u5904\u7406\u540e\u7684\u56fe\u7247\uff0c\u5982\u4f55\u5b9e\u73b0\uff1f<\/strong><br \/>\u5904\u7406\u540e\u7684\u56fe\u7247\u53ef\u4ee5\u4f7f\u7528BytesIO\u5bf9\u8c61\u5728\u5185\u5b58\u4e2d\u4fdd\u5b58\uff0c\u800c\u4e0d\u9700\u8981\u5c06\u5176\u5199\u5165\u78c1\u76d8\u3002\u53ef\u4ee5\u5c06\u4fee\u6539\u540e\u7684PIL\u56fe\u50cf\u4fdd\u5b58\u5230BytesIO\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a  <\/p>\n<pre><code class=\"language-python\">from io import BytesIO\nfrom PIL import Image\n\n# \u8bfb\u53d6\u56fe\u7247\u5e76\u8fdb\u884c\u5904\u7406\nimage = Image.open(&#39;path\/to\/image.jpg&#39;)\n# \u8fdb\u884c\u4e00\u4e9b\u5904\u7406\uff0c\u6bd4\u5982\u65cb\u8f6c\nimage = image.rotate(90)\n\n# \u5c06\u5904\u7406\u540e\u7684\u56fe\u7247\u4fdd\u5b58\u5230\u5185\u5b58\nbuffered = BytesIO()\nimage.save(buffered, format=&quot;JPEG&quot;)\nimg_str = buffered.getvalue()\n<\/code><\/pre>\n<p>\u8fd9\u6837\uff0c\u5904\u7406\u540e\u7684\u56fe\u7247\u5185\u5bb9\u5c31\u4f1a\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\uff0c\u4fbf\u4e8e\u540e\u7eed\u64cd\u4f5c\u6216\u4f20\u8f93\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u5c06\u4e00\u5f20\u56fe\u7247\u5199\u5165\u5230\u5185\u5b58\u91cc\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528Pillow\u5e93\u3001io\u6a21\u5757\u3001numpy\u5e93\u3002\u5728\u6b64\u57fa\u7840\u4e0a\uff0c\u6211\u4eec\u53ef [&hellip;]","protected":false},"author":3,"featured_media":1135844,"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\/1135823"}],"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=1135823"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135823\/revisions"}],"predecessor-version":[{"id":1135853,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1135823\/revisions\/1135853"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1135844"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1135823"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1135823"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1135823"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}