{"id":945199,"date":"2024-12-26T23:23:04","date_gmt":"2024-12-26T15:23:04","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/945199.html"},"modified":"2024-12-26T23:23:06","modified_gmt":"2024-12-26T15:23:06","slug":"python%e5%a6%82%e4%bd%95%e8%b0%83%e8%8a%82ppi","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/945199.html","title":{"rendered":"python\u5982\u4f55\u8c03\u8282ppi"},"content":{"rendered":"

\"python\u5982\u4f55\u8c03\u8282ppi\"<\/p>\n

\u5f00\u5934\u6bb5\u843d\uff1a
\u5728Python\u4e2d\u8c03\u6574PPI\uff08\u6bcf\u82f1\u5bf8\u50cf\u7d20\u6570\uff09\u7684\u65b9\u6cd5\u4e3b\u8981\u5305\u62ec\uff1a\u4f7f\u7528\u56fe\u50cf\u5904\u7406\u5e93\u5982PIL\u6216OpenCV\u3001\u901a\u8fc7DPI\u8c03\u6574\u3001\u8bbe\u7f6e\u56fe\u5f62\u8f93\u51fa\u5c3a\u5bf8<\/strong>\u3002\u901a\u8fc7\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u6539\u53d8\u56fe\u50cf\u7684PPI\u4ee5\u6ee1\u8db3\u4e0d\u540c\u7684\u9700\u6c42\u3002\u8c03\u6574PPI\u6700\u76f4\u63a5\u7684\u65b9\u6cd5\u662f\u4f7f\u7528\u56fe\u50cf\u5904\u7406\u5e93\u3002\u4ee5PIL\u4e3a\u4f8b\uff0c\u901a\u8fc7\u4fee\u6539\u56fe\u50cf\u7684DPI\u5143\u6570\u636e\uff0c\u53ef\u4ee5\u5b9e\u73b0PPI\u7684\u8c03\u6574\u3002\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u9700\u8981\u5728\u56fe\u50cf\u6587\u4ef6\u4e2d\u76f4\u63a5\u8bb0\u5f55PPI\u4fe1\u606f\u7684\u573a\u666f\u3002\u53e6\u4e00\u65b9\u9762\uff0c\u5728\u6570\u636e\u53ef\u89c6\u5316\u4e2d\uff0c\u901a\u8fc7\u8c03\u6574\u56fe\u5f62\u8f93\u51fa\u5c3a\u5bf8\u548c\u5206\u8fa8\u7387\uff0c\u53ef\u4ee5\u95f4\u63a5\u5f71\u54cd\u56fe\u50cf\u7684PPI\uff0c\u8fd9\u5bf9\u4e8e\u751f\u6210\u9002\u5408\u7279\u5b9a\u5206\u8fa8\u7387\u7684\u56fe\u50cf\u975e\u5e38\u91cd\u8981\u3002<\/p>\n<\/p>\n

\u4e00\u3001PPI\u4e0eDPI\u7684\u57fa\u672c\u6982\u5ff5
PPI\uff08Pixels Per Inch\uff09\u548cDPI\uff08Dots Per Inch\uff09\u662f\u56fe\u50cf\u5206\u8fa8\u7387\u7684\u91cd\u8981\u6307\u6807\uff0c\u5b83\u4eec\u5728\u4e0d\u540c\u7684\u573a\u666f\u4e0b\u5177\u6709\u4e0d\u540c\u7684\u4f5c\u7528\u3002PPI\u901a\u5e38\u7528\u4e8e\u63cf\u8ff0\u663e\u793a\u8bbe\u5907\u7684\u5206\u8fa8\u7387\uff0c\u4f8b\u5982\u663e\u793a\u5668\u3001\u624b\u673a\u5c4f\u5e55\u7b49\u3002\u5b83\u8868\u793a\u6bcf\u82f1\u5bf8\u663e\u793a\u7684\u50cf\u7d20\u6570\u91cf\u3002\u8f83\u9ad8\u7684PPI\u610f\u5473\u7740\u56fe\u50cf\u5728\u8bbe\u5907\u4e0a\u663e\u793a\u5f97\u66f4\u52a0\u6e05\u6670\u548c\u7ec6\u817b\u3002DPI\u5219\u901a\u5e38\u7528\u4e8e\u6253\u5370\u8f93\u51fa\uff0c\u63cf\u8ff0\u6253\u5370\u8bbe\u5907\u6bcf\u82f1\u5bf8\u80fd\u6253\u5370\u7684\u70b9\u6570\u3002\u4e86\u89e3PPI\u548cDPI\u7684\u533a\u522b\u5bf9\u4e8e\u56fe\u50cf\u5904\u7406\u548c\u8f93\u51fa\u81f3\u5173\u91cd\u8981\uff0c\u5c24\u5176\u5728\u6d89\u53ca\u5230\u8de8\u8bbe\u5907\u663e\u793a\u548c\u6253\u5370\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n

\u5728\u56fe\u50cf\u5904\u7406\u9886\u57df\uff0cPPI\u548cDPI\u7684\u8c03\u6574\u53ef\u4ee5\u663e\u8457\u5f71\u54cd\u56fe\u50cf\u7684\u89c6\u89c9\u6548\u679c\u548c\u6587\u4ef6\u5927\u5c0f\u3002\u901a\u8fc7\u8c03\u6574PPI\uff0c\u53ef\u4ee5\u4f18\u5316\u56fe\u50cf\u5728\u4e0d\u540c\u8bbe\u5907\u4e0a\u7684\u663e\u793a\u6548\u679c\u3002\u4f8b\u5982\uff0c\u5728\u9ad8PPI\u7684\u8bbe\u5907\u4e0a\uff0c\u53ef\u4ee5\u4f7f\u7528\u9ad8\u5206\u8fa8\u7387\u7684\u56fe\u50cf\u4ee5\u907f\u514d\u6a21\u7cca\uff0c\u800c\u5728\u4f4ePPI\u7684\u8bbe\u5907\u4e0a\uff0c\u5219\u53ef\u4ee5\u964d\u4f4e\u5206\u8fa8\u7387\u4ee5\u8282\u7701\u5b58\u50a8\u7a7a\u95f4\u3002\u6b64\u5916\uff0c\u7406\u89e3PPI\u548cDPI\u7684\u533a\u522b\u8fd8\u53ef\u4ee5\u5e2e\u52a9\u5f00\u53d1\u8005\u5728\u7a0b\u5e8f\u4e2d\u505a\u51fa\u66f4\u7cbe\u786e\u7684\u56fe\u50cf\u5904\u7406\u548c\u8f93\u51fa\u51b3\u7b56\u3002<\/p>\n<\/p>\n

\u4e8c\u3001\u4f7f\u7528PIL\u8c03\u6574PPI
Python Imaging Library\uff08PIL\uff09\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u7528\u6765\u5904\u7406\u548c\u8c03\u6574\u56fe\u50cf\u7684PPI\u3002\u901a\u8fc7PIL\u4e2d\u7684Image\u6a21\u5757\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u8bfb\u53d6\u3001\u4fee\u6539\u548c\u4fdd\u5b58\u56fe\u50cf\u7684PPI\u4fe1\u606f\u3002\u4f8b\u5982\uff0c\u4f7f\u7528Image.open()<\/code>\u65b9\u6cd5\u53ef\u4ee5\u6253\u5f00\u56fe\u50cf\u6587\u4ef6\uff0c\u63a5\u7740\u53ef\u4ee5\u901a\u8fc7info<\/code>\u5c5e\u6027\u8bbf\u95ee\u56fe\u50cf\u7684\u5143\u6570\u636e\uff0c\u5176\u4e2d\u5c31\u5305\u542bDPI\u4fe1\u606f\u3002\u901a\u8fc7\u4fee\u6539DPI\u5143\u6570\u636e\u5e76\u4fdd\u5b58\u56fe\u50cf\uff0c\u53ef\u4ee5\u6539\u53d8\u56fe\u50cf\u7684PPI\u3002<\/p>\n<\/p>\n

\u5177\u4f53\u64cd\u4f5c\u6b65\u9aa4\u5982\u4e0b\uff1a\u9996\u5148\uff0c\u4f7f\u7528PIL\u7684Image<\/code>\u6a21\u5757\u6253\u5f00\u56fe\u50cf\uff1b\u7136\u540e\uff0c\u901a\u8fc7image.info['dpi']<\/code>\u83b7\u53d6\u5f53\u524d\u7684DPI\u8bbe\u7f6e\uff0c\u5e76\u4fee\u6539\u6b64\u503c\u4e3a\u6240\u9700\u7684PPI\u503c\uff1b\u6700\u540e\uff0c\u4f7f\u7528image.save()<\/code>\u65b9\u6cd5\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u56fe\u50cf\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8c03\u6574PPI\u4e0d\u4f1a\u6539\u53d8\u56fe\u50cf\u7684\u5b9e\u9645\u50cf\u7d20\u5c3a\u5bf8\uff0c\u800c\u662f\u6539\u53d8\u5176\u5728\u7279\u5b9a\u8bbe\u5907\u4e0a\u7684\u663e\u793a\u5c3a\u5bf8\u3002\u8fd9\u610f\u5473\u7740\u5728\u8c03\u6574PPI\u540e\uff0c\u56fe\u50cf\u5728\u9ad8PPI\u8bbe\u5907\u4e0a\u770b\u8d77\u6765\u4f1a\u66f4\u5c0f\uff0c\u4f46\u66f4\u6e05\u6670\u3002<\/p>\n<\/p>\n

\u4e09\u3001\u4f7f\u7528OpenCV\u8c03\u6574PPI
OpenCV\u662f\u53e6\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u56fe\u50cf\u5904\u7406\u5e93\uff0c\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u56fe\u50cf\u548c\u89c6\u9891\u6570\u636e\u3002\u867d\u7136OpenCV\u672c\u8eab\u6ca1\u6709\u76f4\u63a5\u7684\u51fd\u6570\u6765\u8c03\u6574PPI\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u95f4\u63a5\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u8c03\u6574\u56fe\u50cf\u7684\u5c3a\u5bf8\u548c\u5206\u8fa8\u7387\u6765\u5f71\u54cd\u5176PPI\u3002\u4f7f\u7528OpenCV\u7684cv2.resize()<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u6539\u53d8\u56fe\u50cf\u7684\u5c3a\u5bf8\uff0c\u4ece\u800c\u95f4\u63a5\u8c03\u6574\u5176PPI\u3002<\/p>\n<\/p>\n

\u5728\u4f7f\u7528OpenCV\u8c03\u6574\u56fe\u50cfPPI\u65f6\uff0c\u901a\u5e38\u9700\u8981\u7ed3\u5408\u5176\u4ed6\u5de5\u5177\u6765\u4fee\u6539\u56fe\u50cf\u7684\u5143\u6570\u636e\u3002\u53ef\u4ee5\u5148\u4f7f\u7528OpenCV\u8c03\u6574\u56fe\u50cf\u7684\u5c3a\u5bf8\uff0c\u7136\u540e\u4f7f\u7528\u7c7b\u4f3cPIL\u7684\u5e93\u6765\u4fee\u6539\u56fe\u50cf\u7684DPI\u4fe1\u606f\u3002\u8fd9\u6837\u505a\u7684\u597d\u5904\u662f\u53ef\u4ee5\u5145\u5206\u5229\u7528OpenCV\u5f3a\u5927\u7684\u56fe\u50cf\u5904\u7406\u529f\u80fd\uff0c\u540c\u65f6\u4e5f\u80fd\u7cbe\u786e\u5730\u63a7\u5236\u56fe\u50cf\u7684PPI\u4fe1\u606f\u3002\u5728\u5904\u7406\u9700\u8981\u9ad8\u7cbe\u5ea6\u663e\u793a\u6216\u6253\u5370\u7684\u56fe\u50cf\u65f6\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5c24\u4e3a\u6709\u6548\u3002<\/p>\n<\/p>\n

\u56db\u3001\u901a\u8fc7DPI\u8c03\u6574PPI
DPI\u548cPPI\u5728\u67d0\u79cd\u7a0b\u5ea6\u4e0a\u662f\u53ef\u4ee5\u4e92\u6362\u4f7f\u7528\u7684\uff0c\u7279\u522b\u662f\u5728\u6253\u5370\u76f8\u5173\u7684\u573a\u666f\u4e2d\u3002\u8c03\u6574DPI\u53ef\u4ee5\u76f4\u63a5\u5f71\u54cd\u56fe\u50cf\u7684\u6253\u5370\u5c3a\u5bf8\u548c\u8d28\u91cf\u3002\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u901a\u8fc7\u4fee\u6539\u56fe\u50cf\u7684DPI\u5143\u6570\u636e\u6765\u8c03\u6574\u5176PPI\u3002\u4f8b\u5982\uff0c\u4f7f\u7528PIL\u5e93\uff0c\u53ef\u4ee5\u901a\u8fc7Image.save()<\/code>\u65b9\u6cd5\u4e2d\u7684dpi<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u56fe\u50cf\u7684DPI\uff0c\u4ece\u800c\u6539\u53d8\u5176PPI\u3002<\/p>\n<\/p>\n

\u8c03\u6574DPI\u7684\u4e00\u4e2a\u5b9e\u9645\u5e94\u7528\u662f\u5728\u9700\u8981\u8f93\u51fa\u9ad8\u8d28\u91cf\u6253\u5370\u54c1\u7684\u573a\u666f\u4e2d\u3002\u901a\u8fc7\u63d0\u9ad8DPI\uff0c\u56fe\u50cf\u5728\u6253\u5370\u65f6\u53ef\u4ee5\u663e\u793a\u51fa\u66f4\u591a\u7684\u7ec6\u8282\u548c\u66f4\u9ad8\u7684\u6e05\u6670\u5ea6\u3002\u6b64\u5916\uff0c\u5728\u8fdb\u884c\u8de8\u5e73\u53f0\u7684\u56fe\u50cf\u663e\u793a\u65f6\uff0c\u4e86\u89e3\u5982\u4f55\u8c03\u6574DPI\u548cPPI\u4e5f\u662f\u975e\u5e38\u91cd\u8981\u7684\u3002\u901a\u8fc7\u5408\u7406\u8bbe\u7f6e\u8fd9\u4e24\u4e2a\u53c2\u6570\uff0c\u53ef\u4ee5\u786e\u4fdd\u56fe\u50cf\u5728\u4e0d\u540c\u8bbe\u5907\u548c\u8f93\u51fa\u4ecb\u8d28\u4e0a\u7684\u663e\u793a\u6548\u679c\u4e00\u81f4\u3002<\/p>\n<\/p>\n

\u4e94\u3001\u8bbe\u7f6e\u56fe\u5f62\u8f93\u51fa\u5c3a\u5bf8
\u5728\u6570\u636e\u53ef\u89c6\u5316\u548c\u56fe\u5f62\u751f\u6210\u4e2d\uff0c\u8f93\u51fa\u56fe\u5f62\u7684\u5c3a\u5bf8\u548c\u5206\u8fa8\u7387\u76f4\u63a5\u5f71\u54cd\u5176PPI\u3002\u901a\u8fc7\u8c03\u6574\u8f93\u51fa\u56fe\u5f62\u7684\u5c3a\u5bf8\uff0c\u53ef\u4ee5\u95f4\u63a5\u8c03\u6574\u5176PPI\u3002\u4f8b\u5982\uff0c\u5728\u4f7f\u7528Matplotlib\u751f\u6210\u56fe\u5f62\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7figure<\/code>\u5bf9\u8c61\u7684dpi<\/code>\u53c2\u6570\u6765\u8bbe\u7f6e\u56fe\u5f62\u7684DPI\uff0c\u4ece\u800c\u5f71\u54cd\u5176PPI\u3002<\/p>\n<\/p>\n

\u8c03\u6574\u56fe\u5f62\u8f93\u51fa\u5c3a\u5bf8\u7684\u53e6\u4e00\u4e2a\u5e38\u89c1\u573a\u666f\u662f\u5728\u751f\u6210\u9002\u5408\u7279\u5b9a\u8bbe\u5907\u663e\u793a\u7684\u56fe\u50cf\u65f6\u3002\u901a\u8fc7\u8bbe\u7f6e\u5408\u9002\u7684\u8f93\u51fa\u5c3a\u5bf8\u548cDPI\uff0c\u53ef\u4ee5\u786e\u4fdd\u56fe\u50cf\u5728\u8bbe\u5907\u4e0a\u663e\u793a\u5f97\u6e05\u6670\u4e14\u5c3a\u5bf8\u9002\u4e2d\u3002\u8fd9\u5bf9\u4e8e\u9700\u8981\u5728\u4e0d\u540c\u5206\u8fa8\u7387\u8bbe\u5907\u4e0a\u5c55\u793a\u7684\u56fe\u50cf\u5c24\u4e3a\u91cd\u8981\u3002\u6b64\u5916\uff0c\u901a\u8fc7\u8c03\u6574\u8f93\u51fa\u56fe\u5f62\u7684\u5c3a\u5bf8\u548c\u5206\u8fa8\u7387\uff0c\u8fd8\u53ef\u4ee5\u4f18\u5316\u56fe\u50cf\u7684\u6587\u4ef6\u5927\u5c0f\u548c\u52a0\u8f7d\u901f\u5ea6\u3002<\/p>\n<\/p>\n

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