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\u4e00\u3001\u4e86\u89e3\u4e00\u4e9b\u829d\u58eb\uff08based on miko\uff09<\/p>\n\n\n\n

pytorch\u662f\u5bf9\u4ee3\u7801\u7684\u5c01\u88c5<\/p>\n\n\n\n

\u73af\u5883\u914d\u7f6eanaconda jupyter pytorch(cpu\/gpu)<\/p>\n\n\n\n

python\u662f\u5b66\u7684\u8ba1\u7b97\u673a\u8bed\u8a00\uff0cpython3.9\/3.12\u8fd9\u4e9b\u90fd\u662f\u5bf9\u5e94\u7684\u8bed\u8a00\u73af\u5883\uff0c\u662fpython\u8bed\u8a00\u91cc\u7684\u4e00\u4e9b\u57fa\u7840\u914d\u7f6e<\/p>\n\n\n\n

\u968f\u7740\u5f00\u53d1\u7684\u8fdb\u6b65\uff0c\u7248\u672c\u8d8a\u9ad8\u8d8a\u597d\uff0c\u4f46\u662f\u592a\u9ad8\u4f1a\u4e0d\u7a33\u5b9a\uff0c\u4e00\u822c\u90fd\u7528python3.9\u6216\u80053.10<\/p>\n\n\n\n

anconda\u5c31\u662f\u4e00\u4e2a\u5bb9\u5668\u7528\u6765\u88c5python\u8bed\u8a00\u7684\u51b0\u7bb1\uff0c\u76f8\u5f53\u4e8e\u4e00\u4e2a\u865a\u62df\u73af\u5883\u6709\u4e86\u8fd9\u4e2a\u5c31\u53ef\u4ee5\u5728\u4e0a\u9762\u7528\u5404\u4e2a\u73af\u5883\uff0c\u6bd4\u5982\u8fd9\u4e2a\u9879\u76ee\u60f3\u7528python3.10\u7684\u73af\u5883\u5c31\u80fd\u72ec\u7acb\u6fc0\u6d3b\u8fd9\u4e2a\u73af\u5883\u4f5c\u4e3a\u9879\u76ee\u4f7f\u7528\uff0canconda\u7684\u597d\u5904\u5c31\u662f\u60f3\u7528\u54ea\u4e2a\u73af\u5883\u65f6\u6fc0\u6d3b\uff0c\u907f\u514d\u8fd9\u4e2a\u8981\u75283.9\u90a3\u4e2a\u8981\u75283.12\uff0c\u80fd\u591f\u5b9e\u73b0\u72ec\u7acb\u7ba1\u7406\uff0c\u540c\u65f6\u91cc\u9762\u7684\u5e93\u4e5f\u53ef\u4ee5\u72ec\u7acb\u5b89\u88c5\uff0c\u4e0d\u4f1a\u6df7<\/p>\n\n\n\n

ide\u662f\u96c6\u6210\u5f00\u53d1\u73af\u5883\uff0c\u662f\u5199\u5404\u79cdpython,c\u4ee3\u7801\u7684\u7528\u5230\u7684\u5404\u79cd\u5e73\u53f0\uff0c\u6bd4\u5982jupyer,pycharm\uff0cvscode\uff0c\u6709\u8fd9\u4e9b\u5e73\u53f0\u4f60\u624d\u80fd\u65b9\u4fbf\u7684\u5199\u4ee3\u7801\u8bfb\u4ee3\u7801<\/p>\n\n\n\n

idel\u662f\u4f60\u4e0b\u8f7dpython\u81ea\u5e26\u7684\u4e00\u4e2a\u5c0f\u5c0f\u7684\u7f16\u8bd1\u5e73\u53f0\uff0c\u548c\u8fd9\u5806\u662f\u4e00\u6837\u7684\uff0c\u4f46\u662f\u8fd9\u4e2a\u6ca1\u6709\u4efb\u4f55\u4ea4\u4e92\u754c\u9762\u6240\u4ee5\u4e00\u822c\u90fd\u4e0d\u7528\u7684<\/p>\n\n\n\n

\u7136\u540epytorch,opencv\u8fd9\u4e9b\u90fd\u662f\u673a\u5668\u5b66\u4e60\u7528\u5230\u7684\u5e93\uff0c\u4f60\u5982\u679c\u8981\u8fdb\u884c\u76f8\u5173\u4ee3\u7801\u7f16\u8bd1\uff0c\u5fc5\u987b\u8981\u5148\u5b89\u88c5\u597d\u8fd9\u4e9b\u5e93\uff0c\u7136\u540e\u5728\u4ee3\u7801\u6700\u524d\u7aefimport\u8fd9\u4e9b\u5e93\u624d\u80fd\u4f7f\u7528<\/p>\n\n\n\n

\u4e8c\u3001\u5e76\u4e0d\u79d1\u5b66\u7684\u5f15\u5165\u65b9\u5f0f<\/p>\n\n\n\n

\u7531\u4e8e\u6211\u4e4b\u524d\u4e0b\u8f7d\u8fc7anaconda\u548cjuypter\uff0c\u6211\u5f53\u65f6\u4ee5\u6781\u5927\u7684\u81ea\u4fe1\u53bb\u5b89\u88c5pytorch<\/p>\n\n\n\n

\u524d\u671f\u6bd4\u8f83\u987a\u5229\uff0c\u6211\u5efa\u7acb\u4e86\u4e00\u4e2a\u865a\u62df\u7a7a\u95f4\uff0c\u7136\u540e\u9009\u62e9\u597d\u4e86\u7248\u672c\uff0c\u9274\u4e8e\u5b98\u7f51\u4e0d\u518d\u6709conda\u7248\u672c\u4ee3\u7801\uff0c\u6211\u76f4\u63a5\u7528\u7684pip\uff08\u53ef\u80fd\u662f\u4f0f\u7b14\uff0c\u6bd5\u7adf\u8fd8\u6ca1\u6709\u7528\u5230\u90a3\u91cc\uff09<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u5b89\u88c5\u5b8c\u4e4b\u540e\u6211\u53d1\u73b0\uff0cjupyter\u5bfc\u5165\u4e0d\u8fdb\u53bb\uff0c\u800c\u4e14\u8fd9\u4e2a\u7a7a\u95f4\u6211\u5b89\u88c5\u7684\u662fgpu\u7248\u672c\u7684cuda\uff0c\u4f46\u662f\u6211\u8d77\u540d\u5199\u6210\u4e86cpu\uff0c\u5982\u6b64\u7684\u839e\u839e\u7c7b\u537f\u7f62\u4e86<\/p>\n\n\n\n

\u5c1d\u8bd5\u4e86\u8bb8\u4e45\u5df2\u7ecf\u4e09\u70b9\u4e86\uff0c\u6211\u51b3\u5b9a\u7761\u4e86<\/p>\n\n\n\n

\u597d\u4e86\u660e\u5929\u66f4\u65b0\u4e8c\uff0c\u8fd8\u6709\u8bfb\u4e00\u7bc7\u5b8c\u5168\u4e0d\u61c2\u7684\u6587\u732e\u7684\u8fc7\u7a0b<\/p>\n\n\n\n

\u8fd9\u53ef\u80fd\u662f\u552f\u4e00\u7684\u673a\u4f1a\uff0c\u4e00\u5b9a\u4e00\u5b9a\u4e00\u5b9a\u4e00\u5b9a\u6293\u4f4f\u5b83<\/p>\n\n\n\n

10\u670821\u65e5\u65e9\u4e0a<\/p>\n\n\n\n

\u81ea\u4ece\u5f00\u5b66\uff0c\u5c31\u50cf\u8fde\u6eda\u5e26\u722c\u4e00\u6837\u8d70\uff0c\u597d\u50cf\u6709\u4e00\u4e9b\u6b7b\u4e86<\/p>\n\n\n\n

\u5728\u5c0f\u53f8\u7684\u5efa\u8bae\u4e0b \u6211\u51c6\u5907\u7528pycharm\u94fe\u63a5torch<\/p>\n\n\n\n

\u4eca\u5929\u67e5\u4e86\u4e00\u4e0b\uff0c\u53d1\u73b0\u6211\u5b89\u88c5conda\u7248\u672c12.6\u662f\u5bf9\u7684\uff0c\u56e0\u4e3a\u6211\u7684\u7248\u672c\u53ea\u652f\u6301\u523012.7\uff0c\u5982\u679c\u4e0b\u8f7d12.8\u6211\u5c31\u5b8c\u86cb\u4e86<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

\u7ecf\u8fc7\u5c06\u8fd1\u4e24\u8282\u8bfe\u7684\u6363\u9f13\uff0c\u8ba9\u6211\u4eec\u606d\u559c\u5c0f\u725b\u53ef\u4ee5\u8fdb\u884ccopy\u4ee3\u7801\u73af\u8282\u4e86\uff0c\u89e3\u51b3\u65b9\u6848\u5c31\u662f\u865a\u62df\u73af\u5883\u91cc\u4f9d\u7136\u627e\u4e0d\u5230torch base\u91cc\u8fb9\u4e5f\u6ca1\u6709\uff0c\u4f46\u662f\u5728pycharm\u91cc\u8fb9\u4e00\u4e0b\u8f7d\uff0c\u5c31\u627e\u5230\u6211\u6628\u5929\u4e0b\u8f7d\u768412.6\u7248\u672c\u4e86\uff08\u80af\u5b9a\u662f\u6628\u5929\u4e0b\u7684\uff0c\u56e0\u4e3a\u5f88\u5feb\uff09<\/p>\n\n\n\n

\u53cd\u6b63\u80fd\u6b63\u5e38\u8fd0\u884c\u4ee3\u7801\u4e86\uff0c\u5176\u4ed6\u73af\u5883\u95ee\u9898\u5c31\u4e0d\u91cd\u8981\u4e86<\/p>\n\n\n\n

\"\"<\/div><\/figure>\n\n\n\n

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