{"id":1100535,"date":"2025-01-08T15:40:53","date_gmt":"2025-01-08T07:40:53","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1100535.html"},"modified":"2025-01-08T15:40:55","modified_gmt":"2025-01-08T07:40:55","slug":"python%e5%a6%82%e4%bd%95%e4%bf%ae%e6%94%b9%e5%9b%be%e7%89%87%e9%80%8f%e6%98%8e%e5%ba%a6-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1100535.html","title":{"rendered":"python\u5982\u4f55\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25063730\/f850eb59-d5ca-43e1-b563-114faa13208c.webp\" alt=\"python\u5982\u4f55\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\" \/><\/p>\n<p><p> <strong>Python\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u7684\u65b9\u5f0f\u4e3b\u8981\u6709\uff1a\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u4f7f\u7528Pygame\u5e93<\/strong>\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pillow\u5e93\u6765\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u3002<\/p>\n<\/p>\n<p><p>Pillow\u5e93\uff08\u5373PIL\u7684\u5206\u652f\uff09\u662fPython\u4e2d\u4e00\u4e2a\u975e\u5e38\u6d41\u884c\u7684\u56fe\u50cf\u5904\u7406\u5e93\u3002\u4f7f\u7528Pillow\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u7684\u6b65\u9aa4\u4e3b\u8981\u5305\u62ec\uff1a\u6253\u5f00\u56fe\u50cf\u3001\u8f6c\u6362\u56fe\u50cf\u6a21\u5f0f\u3001\u8c03\u6574\u900f\u660e\u5ea6\u3001\u4fdd\u5b58\u56fe\u50cf\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\u548c\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><h3>\u4e00\u3001\u4f7f\u7528Pillow\u5e93\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6<\/h3>\n<\/p>\n<p><p>Pillow\u5e93\u662fPython\u4e2d\u6700\u5e38\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\u4e4b\u4e00\uff0c\u652f\u6301\u591a\u79cd\u56fe\u50cf\u5904\u7406\u64cd\u4f5c\uff0c\u5305\u62ec\u4fee\u6539\u900f\u660e\u5ea6\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5Pillow\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pillow\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\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\u52a0\u8f7d\u56fe\u50cf\u5e76\u4fee\u6539\u900f\u660e\u5ea6<\/h4>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u52a0\u8f7d\u4e00\u5f20\u56fe\u7247\uff0c\u5e76\u4fee\u6539\u5b83\u7684\u900f\u660e\u5ea6\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\u548c\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from PIL import Image<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n<p>image = Image.open(&quot;example.png&quot;)<\/p>\n<h2><strong>\u786e\u4fdd\u56fe\u50cf\u662fRGBA\u6a21\u5f0f\uff08\u5305\u542bAlpha\u901a\u9053\uff09<\/strong><\/h2>\n<p>image = image.convert(&quot;RGBA&quot;)<\/p>\n<h2><strong>\u83b7\u53d6\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>data = image.getdata()<\/p>\n<h2><strong>\u4fee\u6539\u900f\u660e\u5ea6<\/strong><\/h2>\n<p>new_data = []<\/p>\n<p>for item in data:<\/p>\n<p>    # \u4fee\u6539Alpha\u503c\uff08\u900f\u660e\u5ea6\uff09<\/p>\n<p>    new_data.append((item[0], item[1], item[2], int(item[3] * 0.5)))  # \u900f\u660e\u5ea6\u964d\u4f4e50%<\/p>\n<h2><strong>\u66f4\u65b0\u56fe\u50cf\u6570\u636e<\/strong><\/h2>\n<p>image.putdata(new_data)<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n<p>image.save(&quot;example_with_transparency.png&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>Image.open()<\/code>\u65b9\u6cd5\u6253\u5f00\u4e00\u5f20\u56fe\u7247\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aRGBA\u6a21\u5f0f\uff0c\u4ee5\u786e\u4fdd\u56fe\u50cf\u5305\u542bAlpha\u901a\u9053\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u83b7\u53d6\u56fe\u50cf\u6570\u636e\uff0c\u5e76\u904d\u5386\u6bcf\u4e2a\u50cf\u7d20\uff0c\u8c03\u6574\u5176Alpha\u503c\uff08\u900f\u660e\u5ea6\uff09\u3002\u6700\u540e\uff0c\u6211\u4eec\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684\u56fe\u50cf\u6587\u4ef6\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528OpenCV\u5e93\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6<\/h3>\n<\/p>\n<p><p>OpenCV\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u8ba1\u7b97\u673a\u89c6\u89c9\u5e93\uff0c\u4e5f\u53ef\u4ee5\u7528\u4e8e\u4fee\u6539\u56fe\u50cf\u900f\u660e\u5ea6\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5OpenCV\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86OpenCV\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\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 opencv-python<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u52a0\u8f7d\u56fe\u50cf\u5e76\u4fee\u6539\u900f\u660e\u5ea6<\/h4>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u52a0\u8f7d\u4e00\u5f20\u56fe\u7247\uff0c\u5e76\u4fee\u6539\u5b83\u7684\u900f\u660e\u5ea6\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\u548c\u4ee3\u7801\u793a\u4f8b\uff1a<\/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<\/strong><\/h2>\n<p>image = cv2.imread(&quot;example.png&quot;, cv2.IMREAD_UNCHANGED)<\/p>\n<h2><strong>\u786e\u4fdd\u56fe\u50cf\u6709Alpha\u901a\u9053<\/strong><\/h2>\n<p>if image.shape[2] == 3:<\/p>\n<p>    image = cv2.cvtColor(image, cv2.COLOR_BGR2BGRA)<\/p>\n<h2><strong>\u4fee\u6539\u900f\u660e\u5ea6<\/strong><\/h2>\n<p>alpha = 0.5  # \u900f\u660e\u5ea6\u7cfb\u6570<\/p>\n<p>image[:, :, 3] = image[:, :, 3] * alpha<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n<p>cv2.imwrite(&quot;example_with_transparency.png&quot;, image)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>cv2.imread()<\/code>\u65b9\u6cd5\u6253\u5f00\u4e00\u5f20\u56fe\u7247\uff0c\u5e76\u786e\u4fdd\u56fe\u50cf\u5305\u542bAlpha\u901a\u9053\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u8c03\u6574\u56fe\u50cf\u7684Alpha\u503c\uff08\u900f\u660e\u5ea6\uff09\uff0c\u5e76\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528Pygame\u5e93\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6<\/h3>\n<\/p>\n<p><p>Pygame\u662f\u4e00\u4e2a\u7528\u4e8e\u5f00\u53d12D\u6e38\u620f\u7684\u5e93\uff0c\u4f46\u5b83\u4e5f\u63d0\u4f9b\u4e86\u4e00\u4e9b\u57fa\u672c\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u5305\u62ec\u4fee\u6539\u900f\u660e\u5ea6\u3002<\/p>\n<\/p>\n<p><h4>1\u3001\u5b89\u88c5Pygame\u5e93<\/h4>\n<\/p>\n<p><p>\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86Pygame\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\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 pygame<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><h4>2\u3001\u52a0\u8f7d\u56fe\u50cf\u5e76\u4fee\u6539\u900f\u660e\u5ea6<\/h4>\n<\/p>\n<p><p>\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u52a0\u8f7d\u4e00\u5f20\u56fe\u7247\uff0c\u5e76\u4fee\u6539\u5b83\u7684\u900f\u660e\u5ea6\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\u548c\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pygame<\/p>\n<h2><strong>\u521d\u59cb\u5316Pygame<\/strong><\/h2>\n<p>pygame.init()<\/p>\n<h2><strong>\u6253\u5f00\u56fe\u50cf<\/strong><\/h2>\n<p>image = pygame.image.load(&quot;example.png&quot;).convert_alpha()<\/p>\n<h2><strong>\u4fee\u6539\u900f\u660e\u5ea6<\/strong><\/h2>\n<p>alpha = 128  # \u900f\u660e\u5ea6\u503c\uff080-255\uff09<\/p>\n<p>image.fill((255, 255, 255, alpha), special_flags=pygame.BLEND_RGBA_MULT)<\/p>\n<h2><strong>\u4fdd\u5b58\u56fe\u50cf<\/strong><\/h2>\n<p>pygame.image.save(image, &quot;example_with_transparency.png&quot;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9996\u5148\u4f7f\u7528<code>pygame.image.load()<\/code>\u65b9\u6cd5\u6253\u5f00\u4e00\u5f20\u56fe\u7247\uff0c\u5e76\u786e\u4fdd\u56fe\u50cf\u5305\u542bAlpha\u901a\u9053\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u4f7f\u7528<code>fill()<\/code>\u65b9\u6cd5\u8c03\u6574\u56fe\u50cf\u7684\u900f\u660e\u5ea6\uff0c\u5e76\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4e0a\u8ff0\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528Pillow\u3001OpenCV\u548cPygame\u5e93\u6765\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u3002\u6bcf\u4e2a\u5e93\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u52bf\uff0c\u5177\u4f53\u9009\u62e9\u54ea\u4e2a\u5e93\u53d6\u51b3\u4e8e\u4f60\u7684\u5177\u4f53\u9700\u6c42\u548c\u9879\u76ee\u8981\u6c42\u3002\u65e0\u8bba\u4f60\u9009\u62e9\u54ea\u4e2a\u5e93\uff0c\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u7684\u57fa\u672c\u6b65\u9aa4\u90fd\u662f\u76f8\u4f3c\u7684\uff1a\u52a0\u8f7d\u56fe\u50cf\u3001\u8c03\u6574\u900f\u660e\u5ea6\u3001\u4fdd\u5b58\u56fe\u50cf\u3002\u5e0c\u671b\u8fd9\u7bc7\u6587\u7ae0\u80fd\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u7406\u89e3\u548c\u638c\u63e1Python\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u4f7f\u7528Python\u6539\u53d8\u56fe\u50cf\u7684\u900f\u660e\u5ea6\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528PIL\uff08Pillow\uff09\u5e93\u8f7b\u677e\u5730\u4fee\u6539\u56fe\u50cf\u7684\u900f\u660e\u5ea6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pillow\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7\u547d\u4ee4<code>pip install Pillow<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u6253\u5f00\u56fe\u50cf\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u5176alpha\u901a\u9053\u6765\u5b9e\u73b0\u900f\u660e\u5ea6\u7684\u53d8\u5316\u3002\u5177\u4f53\u6b65\u9aa4\u5305\u62ec\u52a0\u8f7d\u56fe\u50cf\u3001\u8f6c\u6362\u4e3aRGBA\u6a21\u5f0f\uff0c\u7136\u540e\u8c03\u6574\u900f\u660e\u5ea6\u503c\uff0c\u6700\u540e\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002<\/p>\n<p><strong>\u900f\u660e\u5ea6\u7684\u503c\u5e94\u8be5\u5982\u4f55\u8bbe\u7f6e\uff1f<\/strong><br \/>\u900f\u660e\u5ea6\u503c\u901a\u5e38\u57280\u5230255\u4e4b\u95f4\uff0c0\u8868\u793a\u5b8c\u5168\u900f\u660e\uff0c255\u8868\u793a\u5b8c\u5168\u4e0d\u900f\u660e\u3002\u82e5\u60f3\u5c06\u900f\u660e\u5ea6\u8bbe\u7f6e\u4e3a50%\uff0c\u53ef\u4ee5\u5c06alpha\u503c\u8bbe\u4e3a128\u3002\u5728\u4f7f\u7528Pillow\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7\u64cd\u4f5c\u50cf\u7d20\u70b9\u6765\u5b9e\u73b0\u8fd9\u4e00\u6548\u679c\uff0c\u4f8b\u5982\u5bf9\u6bcf\u4e2a\u50cf\u7d20\u7684alpha\u503c\u8fdb\u884c\u8c03\u6574\u3002<\/p>\n<p><strong>\u53ef\u4ee5\u4f7f\u7528\u54ea\u4e9b\u5176\u4ed6\u5e93\u6765\u4fee\u6539\u56fe\u50cf\u900f\u660e\u5ea6\uff1f<\/strong><br \/>\u9664\u4e86Pillow\uff0cOpenCV\u548cMatplotlib\u4e5f\u662f\u5904\u7406\u56fe\u50cf\u7684\u6d41\u884c\u5e93\u3002OpenCV\u5141\u8bb8\u5bf9\u56fe\u50cf\u8fdb\u884c\u66f4\u590d\u6742\u7684\u5904\u7406\uff0c\u5305\u62ec\u900f\u660e\u5ea6\u8c03\u6574\u3002\u800cMatplotlib\u5219\u9002\u5408\u4e8e\u5728\u56fe\u50cf\u663e\u793a\u65f6\u63a7\u5236\u900f\u660e\u5ea6\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u5b9e\u73b0\u900f\u660e\u5ea6\u7684\u4fee\u6539\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u4fee\u6539\u56fe\u7247\u900f\u660e\u5ea6\u7684\u65b9\u5f0f\u4e3b\u8981\u6709\uff1a\u4f7f\u7528Pillow\u5e93\u3001\u4f7f\u7528OpenCV\u5e93\u3001\u4f7f\u7528Pygame\u5e93\u3002\u4e0b\u9762\u6211\u4eec\u8be6 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