{"id":27083,"date":"2024-05-29T12:45:29","date_gmt":"2024-05-29T04:45:29","guid":{"rendered":"https:\/\/www.zhidianwl.net\/zhidianwl\/?p=27083"},"modified":"2024-05-29T12:45:29","modified_gmt":"2024-05-29T04:45:29","slug":"tf%e8%8b%b9%e6%9e%9c%e4%b8%8a%e6%9e%b6%e5%ba%94%e7%94%a8%e5%95%86%e5%ba%97%e6%93%8d%e4%bd%9c%e4%bb%8b%e7%bb%8d","status":"publish","type":"post","link":"https:\/\/www.zhidianwl.net\/zhidianwl\/2024\/05\/29\/tf%e8%8b%b9%e6%9e%9c%e4%b8%8a%e6%9e%b6%e5%ba%94%e7%94%a8%e5%95%86%e5%ba%97%e6%93%8d%e4%bd%9c%e4%bb%8b%e7%bb%8d\/","title":{"rendered":"tf\u82f9\u679c\u4e0a\u67b6\u5e94\u7528\u5546\u5e97\u64cd\u4f5c\u4ecb\u7ecd"},"content":{"rendered":"

TensorFlow\uff08TF\uff09\u662f\u7531Google Brain\u56e2\u961f\u5f00\u53d1\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u548c\u5176\u4ed6\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u7531\u4e8e\u5176\u5f3a\u5927\u7684\u529f\u80fd\u548c\u6613\u7528\u6027\uff0cTF\u5df2\u6210\u4e3a\u8bb8\u591a\u5e94\u7528\u7a0b\u5e8f\u7684\u9996\u9009\u673a\u5668\u5b66\u4e60\u6846\u67b6\u4e4b\u4e00\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecdTF\u5728\u82f9\u679c\u4e0a\u67b6\u7684\u539f\u7406\u548c\u8be6\u7ec6\u6b65\u9aa4\u3002<\/p>\n

TF\u5728\u82f9\u679c\u4e0a\u67b6\u7684\u539f\u7406<\/p>\n

\u5728\u82f9\u679c\u4e0a\u67b6TF\u9700\u8981\u4f7f\u7528\u82f9\u679c\u7684Core ML\u6846\u67b6\uff0c\u8be5\u6846\u67b6\u5141\u8bb8\u5f00\u53d1\u4eba\u5458\u5728iOS\u548cmacOS\u8bbe\u5907\u4e0a\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002Core ML\u53ef\u4ee5\u5c06\u73b0\u6709\u7684\u673a\u5668\u5b66\u4e60\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\uff0c\u4ee5\u4fbf\u5728\u82f9\u679c\u8bbe\u5907\u4e0a\u8fd0\u884c\u3002\u56e0\u6b64\uff0c\u8981\u5c06TF\u6a21\u578b\u90e8\u7f72\u5230\u82f9\u679c\u8bbe\u5907\u4e0a\uff0c\u6211\u4eec\u9700\u8981\u4f7f\u7528Core ML\u5c06\u5176\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u3002<\/p>\n

\u8f6c\u6362TF\u6a21\u578b\u4e3aCore ML\u6a21\u578b\u7684\u5de5\u5177\u662fTF-CoreML\uff0c\u5b83\u662f\u4e00\u4e2aPython\u5e93\uff0c\u53ef\u4ee5\u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u3002TF-CoreML\u5e93\u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u7684\u8fc7\u7a0b\u5305\u62ec\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n

1. \u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u6240\u9700\u7684\u8f93\u5165\u683c\u5f0f\u3002Core ML\u6a21\u578b\u9700\u8981\u5c06\u8f93\u5165\u6570\u636e\u8f6c\u6362\u4e3aCore ML\u8f93\u5165\u683c\u5f0f\uff0c\u8fd9\u662f\u7531Core ML\u6846\u67b6\u5b9a\u4e49\u7684\u3002TF-CoreML\u5e93\u5c06TF\u6a21\u578b\u7684\u8f93\u5165\u8f6c\u6362\u4e3aCore ML\u8f93\u5165\u683c\u5f0f\u3002<\/p>\n

2. \u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u6240\u9700\u7684\u8f93\u51fa\u683c\u5f0f\u3002Core ML\u6a21\u578b\u9700\u8981\u5c06\u8f93\u51fa\u6570\u636e\u8f6c\u6362\u4e3aCore ML\u8f93\u51fa\u683c\u5f0f\uff0c\u8fd9\u662f\u7531Core ML\u6846\u67b6\u5b9a\u4e49\u7684\u3002TF-CoreML\u5e93\u5c06TF\u6a21\u578b\u7684\u8f93\u51fa\u8f6c\u6362\u4e3aCore ML\u8f93\u51fa\u683c\u5f0f\u3002<\/p>\n

3. \u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u6240\u9700\u7684\u6743\u91cd\u548c\u504f\u5dee\u3002Core ML\u6a21\u578b\u9700\u8981\u5c06\u6743\u91cd\u548c\u504f\u5dee\u8f6c\u6362\u4e3aCore ML\u6743\u91cd\u548c\u504f\u5dee\u683c\u5f0f\uff0c\u8fd9\u662f\u7531Core ML\u6846\u67b6\u5b9a\u4e49\u7684\u3002TF-CoreML\u5e93\u5c06TF\u6a21\u578b\u7684\u6743\u91cd\u548c\u504f\u5dee\u8f6c\u6362\u4e3aCore ML\u6743\u91cd\u548c\u504f\u5dee\u683c\u5f0f\u3002<\/p>\n

4. \u5c06\u8f6c\u6362\u540e\u7684\u6a21\u578b\u4fdd\u5b58\u4e3aCore ML\u6a21\u578b\u6587\u4ef6\u3002\u5c06\u8f6c\u6362\u540e\u7684\u6a21\u578b\u4fdd\u5b58\u4e3aCore ML\u6a21\u578b\u6587\u4ef6\uff0c\u4ee5\u4fbf\u5728iOS\u548cmacOS\u8bbe\u5907\u4e0a\u4f7f\u7528\u3002<\/p>\n

TF\u5728\u82f9\u679c\u4e0a\u67b6\u7684\u8be6\u7ec6\u6b65\u9aa4<\/p>\n

\u5728\u5c06TF\u6a21\u578b\u90e8\u7f72\u5230\u82f9\u679c\u8bbe\u5907\u4e0a\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u5b8c\u6210\u4ee5\u4e0b\u6b65\u9aa4\uff1a<\/p>\n

1. \u5b89\u88c5TF-CoreML\u5e93\u3002TF-CoreML\u5e93\u662f\u4e00\u4e2aPython\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528pip\u547d\u4ee4\u5b89\u88c5\u3002\u5b89\u88c5\u547d\u4ee4\u5982\u4e0b\uff1a<\/p>\n

“`<\/p>\n

pip install tfcoreml<\/p>\n

“`<\/p>\n

2. \u51c6\u5907TF\u6a21\u578b\u3002\u5728\u5c06TF\u6a21\u578b\u8f6c<\/p>\n

<\/figure>\n<\/p>\n

\u6362\u4e3aCore ML\u6a21\u578b\u4e4b\u524d\uff0c\u6211\u4eec\u9700\u8981\u51c6\u5907\u597dTF\u6a21\u578b\u3002TF\u6a21\u578b\u53ef\u4ee5\u4f7f\u7528TensorFlow\u6216Keras\u521b\u5efa\u3002<\/p>\n

3. \u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u3002\u4f7f\u7528TF-CoreML\u5e93\u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u3002\u8f6c\u6362\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n

“`python<\/p>\n

import tfcoreml<\/p>\n

# Convert the TensorFlow model to Core ML<\/p>\n

coreml_model = tfcoreml.convert(<\/p>\n

tf_model_path=’path\/to\/tf\/model’,<\/p>\n

mlmodel_path=’path\/to\/coreml\/model’,<\/p>\n

output_feature_names=[‘output_node_name’],<\/p>\n

input_name_shape_dict=\u9b45\u65cf\u4e0a\u67b6<\/a>{‘input_node_name’: (1, 224, 224, 3)},<\/p>\n

image_input_names=[‘input_node_name’],<\/p>\n

image_scale=1\/255.0<\/p>\n

)<\/p>\n

“`<\/p>\n

\u5728\u8f6c\u6362\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u9700\u8981\u6307\u5b9aTF\u6a21\u578b\u7684\u8def\u5f84\u3001Core ML\u6a21\u578b\u7684\u8def\u5f84\u3001\u8f93\u51fa\u8282\u70b9\u7684\u540d\u79f0\u3001\u8f93\u5165\u8282\u70b9\u7684\u540d\u79f0\u548c\u5f62\u72b6\u3001\u56fe\u50cf\u8f93\u5165\u7684\u540d\u79f0\u548c\u7f29\u653e\u56e0\u5b50\u3002<\/p>\n

4. \u5728Xcode\u4e2d\u96c6\u6210Core ML\u6a21\u578b\u3002\u5c06Core ML\u6a21\u578b\u96c6\u6210\u5230Xcode\u9879\u76ee\u4e2d\uff0c\u4ee5\u4fbf\u5728iOS\u548cmacOS\u8bbe\u5907\u4e0a\u4f7f\u7528\u3002\u5728Xcode\u4e2d\u9009\u62e9\u201cFile\u201d>\u201cNew\u201d>\u201cTarget\u201d\uff0c\u7136\u540e\u9009\u62e9\u201cCore ML\u6a21\u578b\u201d\u3002\u5c06Core ML\u6a21\u578b\u6587\u4ef6\u6dfb\u52a0\u5230Xcode\u9879\u76ee\u4e2d\uff0c\u5e76\u5c06\u5176\u8bbe\u7f6e\u4e3aCore ML\u6a21\u578b\u7684\u8f93\u5165\u548c\u8f93\u51fa\u3002\u73b0\u5728\uff0c\u6211\u4eec\u53ef\u4ee5\u5728iOS\u548cmacOS\u8bbe\u5907\u4e0a\u4f7f\u7528Core ML\u6a21\u578b\u4e86\u3002<\/p>\n

\u603b\u7ed3<\/p>\n

\u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86TF\u5728\u82f9\u679c\u4e0a\u67b6\u7684\u539f\u7406\u548c\u8be6\u7ec6\u6b65\u9aa4\u3002TF-CoreML\u5e93\u662f\u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u7684\u5173\u952e\u5de5\u5177\uff0c\u5b83\u5c06TF\u6a21\u578b\u8f6c\u6362\u4e3aCore ML\u6a21\u578b\u6240\u9700\u7684\u8f93\u5165\u3001\u8f93\u51fa\u3001\u6743\u91cd\u548c\u504f\u5dee\u683c\u5f0f\u3002\u5c06Core ML\u6a21\u578b\u96c6\u6210\u5230Xcode\u9879\u76ee\u4e2d\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u5728iOS\u548cmacOS\u8bbe\u5907\u4e0a\u4f7f\u7528TF\u6a21\u578b\u4e86\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

TensorFlow\uff08TF\uff09\u662f\u7531Google Brain\u56e2\u961f\u5f00\u53d1\u7684\u5f00\u6e90\u673a\u5668\u5b66\u4e60\u6846\u67b6\uff0c\u53ef\u4ee5\u7528\u4e8e\u521b\u5efa\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u548c\u5176\u4ed6\u673a\u5668\u5b66\u4e60\u6a21\u578b\u3002\u7531\u4e8e\u5176\u5f3a\u5927\u7684\u529f\u80fd\u548c\u6613\u7528\u6027\uff0cTF\u5df2\u6210\u4e3a\u8bb8\u591a\u5e94\u7528\u7a0b\u5e8f\u7684\u9996\u9009\u673a\u5668\u5b66\u4e60\u6846\u67b6\u4e4b\u4e00<\/p>\n","protected":false},"author":20,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9],"tags":[25658,25660,6509,25659,52],"topic":[],"class_list":["post-27083","post","type-post","status-publish","format-standard","hentry","category-appsjsd","tag-app","tag-25660","tag-6509","tag-25659","tag-52"],"_links":{"self":[{"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/posts\/27083","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/users\/20"}],"replies":[{"embeddable":true,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/comments?post=27083"}],"version-history":[{"count":1,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/posts\/27083\/revisions"}],"predecessor-version":[{"id":27089,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/posts\/27083\/revisions\/27089"}],"wp:attachment":[{"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/media?parent=27083"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/categories?post=27083"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/tags?post=27083"},{"taxonomy":"topic","embeddable":true,"href":"https:\/\/www.zhidianwl.net\/zhidianwl\/wp-json\/wp\/v2\/topic?post=27083"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}