{"id":32044,"date":"2023-03-21T06:10:10","date_gmt":"2023-10-06T17:45:35","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%9c%a8nodejs%e4%b8%ad%ef%bc%8c%e5%af%b9%e4%bd%8d%e4%ba%8e%e6%9c%8d%e5%8a%a1%e5%99%a8%e4%b8%8a%e7%9a%84%e5%9b%be%e5%83%8f%e8%bf%9b%e8%a1%8cposenet%e5%a4%84%e7%90%86%e3%80%82\/"},"modified":"2024-04-29T19:54:08","modified_gmt":"2024-04-29T11:54:08","slug":"%e5%9c%a8nodejs%e4%b8%ad%ef%bc%8c%e5%af%b9%e4%bd%8d%e4%ba%8e%e6%9c%8d%e5%8a%a1%e5%99%a8%e4%b8%8a%e7%9a%84%e5%9b%be%e5%83%8f%e8%bf%9b%e8%a1%8cposenet%e5%a4%84%e7%90%86%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e5%9c%a8nodejs%e4%b8%ad%ef%bc%8c%e5%af%b9%e4%bd%8d%e4%ba%8e%e6%9c%8d%e5%8a%a1%e5%99%a8%e4%b8%8a%e7%9a%84%e5%9b%be%e5%83%8f%e8%bf%9b%e8%a1%8cposenet%e5%a4%84%e7%90%86%e3%80%82\/","title":{"rendered":"\u5728NodeJS\u4e2d\uff0c\u5bf9\u4f4d\u4e8e\u670d\u52a1\u5668\u4e0a\u7684\u56fe\u50cf\u8fdb\u884cPosenet\u5904\u7406"},"content":{"rendered":"

\u4ee5TensorflowJS Posenet\u63a8\u5b9a\u700f\u89bd\u5668\u986f\u793a\u5716\u50cf\u6216\u7db2\u9801\u651d\u50cf\u982d\u4e2d\u4eba\u9ad4\u7684\u59ff\u52e2\u3002\u70ba\u4ec0\u9ebc\u8981\u5c07\u5728\u700f\u89bd\u5668\u4e2d\u57f7\u884c\u7684\u5167\u5bb9\u8f49\u79fb\u5230NodeJS\u4e0a\u904b\u884c\u5462\uff1f\u539f\u56e0\u662f\u70ba\u4e86\u6e1b\u8f15\u5ba2\u6236\u7aef\u8655\u7406\u8ca0\u64d4\uff0c\u4e26\u4e14\u80fd\u5920\u8f03\u5bb9\u6613\u5730\u8207PHP\u3001MySQL\u7b49WEB\u74b0\u5883\u9032\u884c\u9023\u52d5\u3002<\/p>\n

\u9996\u5148\uff0c\u6211\u4f7f\u7528Mac\uff0c\u5c1d\u8bd5\u4f7f\u7528NodeJS\u5bf9\u5b58\u653e\u5728\u7279\u5b9a\u6587\u4ef6\u5939\u4e2d\u7684\u56fe\u50cf\u8fdb\u884c\u59ff\u52bf\u4f30\u8ba1\u3002<\/p>\n

\u5fc5\u9700\u7684\u5e93\u548c\u7ec4\u4ef6<\/h2>\n

\u4e0d\u597d\u610f\u601d\uff0c\u6211\u4f1a\u7b80\u7565\u89e3\u91ca\u4e00\u4e0b\u3002<\/p>\n

\u8282\u70b9\u753b\u5e03<\/h3>\n

\u5b89\u88c5\u7528\u4e8e\u8fd0\u884c node-canvas \u7684\u5e93\u3002<\/p>\n

$<\/span> brew install <\/span>pkg-config cairo pango libpng jpeg giflib\r\n<\/code><\/pre>\n
\u5b89\u88c5 node-canvas<\/p>\n
$<\/span> npm install<\/span> --save<\/span> canvas botkit\r\n<\/code><\/pre>\n
TensorFlowJS\u5728NodeJS\u4e2d\u3002<\/h3>\n
\u4f7f\u7528 npm \u8fdb\u884c\u5b89\u88c5\u3002<\/p>\n
$<\/span> npm install<\/span> --save<\/span> rollup\r\n$<\/span> npm install<\/span> --save<\/span> @tensorflow\/tfjs@^1.1.0\r\n$<\/span> npm install<\/span> --save<\/span> @tensorflow-models\/posenet\r\n$<\/span> npm install<\/span> --save<\/span> @tensorflow\/tfjs-node\r\n\r\nGPU\u306e\u5834\u5408\r\n<\/span>$<\/span> npm install<\/span> --save<\/span> @tensorflow\/tfjs-node-gpu\r\n<\/code><\/pre>\n
\u8bf7\u6ce8\u610f\u3002<\/h2>\n
\u4f7f\u7528tfjs-node\u800c\u4e0d\u662ftfjs\u3002<\/p>\n
\/\/const tf = require('@tensorflow\/tfjs');<\/span>\r\nconst<\/span> tf<\/span> =<\/span> require<\/span>(<\/span>'<\/span>@tensorflow\/tfjs-node<\/span>'<\/span>);<\/span>\r\n<\/code><\/pre>\n
\u5c06\u56fe\u50cf\u6295\u5f71\u5230Canvas\u4e0a\uff0c\u7136\u540e\u8f6c\u6362\u4e3a\u5f20\u91cf\uff0c\u5e76\u6267\u884cestimateSinglePose()\u51fd\u6570\u3002
\n\u867d\u7136NodeJS\u5728\u6279\u5904\u7406\u4e2d\u8fd0\u884c\u65f6\u6ca1\u6709DOM\uff0c\u4f46\u53ef\u4ee5\u4f7f\u7528”node-canvas”\u5e93\u50cf\u64cd\u4f5cDOM\u4e00\u6837\u5904\u7406Canvas\u6807\u7b7e\u3002<\/p>\n
var<\/span> imageScaleFactor<\/span> =<\/span> 0.5<\/span>;<\/span>\r\nvar<\/span> outputStride<\/span> =<\/span> 16<\/span>;<\/span>\r\nvar<\/span> flipHorizontal<\/span> =<\/span> false<\/span>;<\/span>\r\n\r\n\/\/ \u30e2\u30c7\u30eb\u306e\u30ed\u30fc\u30c9<\/span>\r\nvar<\/span> net<\/span> =<\/span> await<\/span> posenet<\/span>.<\/span>load<\/span>(<\/span>0.75<\/span>);<\/span>\r\n\r\nconst<\/span> img<\/span> =<\/span> new<\/span> Image<\/span>();<\/span>\r\nimg<\/span>.<\/span>src<\/span> =<\/span> '<\/span>.\/hoge.jpg<\/span>'<\/span>;<\/span>\r\n\r\nconst<\/span> canvas<\/span> =<\/span> createCanvas<\/span>(<\/span>img<\/span>.<\/span>width<\/span>,<\/span> img<\/span>.<\/span>height<\/span>);<\/span>\r\nconst<\/span> ctx<\/span> =<\/span> canvas<\/span>.<\/span>getContext<\/span>(<\/span>'<\/span>2d<\/span>'<\/span>);<\/span>\r\nctx<\/span>.<\/span>drawImage<\/span>(<\/span>img<\/span>,<\/span> 0<\/span>,<\/span> 0<\/span>);<\/span>\r\n\r\n\/\/ Tensor\u578b\u306b\u5909\u63db<\/span>\r\nconst<\/span> input<\/span> =<\/span> tf<\/span>.<\/span>browser<\/span>.<\/span>fromPixels<\/span>(<\/span>canvas<\/span>);<\/span>\r\n\r\n\/\/ \u59ff\u52e2JSON\u53d6\u5f97<\/span>\r\nconst<\/span> pose<\/span> =<\/span> await<\/span> net<\/span>.<\/span>estimateSinglePose<\/span>(<\/span>input<\/span>,<\/span> imageScaleFactor<\/span>,<\/span> flipHorizontal<\/span>,<\/span> outputStride<\/span>);<\/span>\r\n\r\nconsole<\/span>.<\/span>log<\/span>(<\/span>pose<\/span>);<\/span>\r\n\r\n<\/code><\/pre>\n
\u7ed3\u679c<\/h2>\n
{<\/span>\r\n  score<\/span>:<\/span> 0.8253553825266221<\/span>,<\/span>\r\n  keypoints<\/span>:<\/span> [<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.9589502215385437<\/span>,<\/span> part<\/span>:<\/span> '<\/span>nose<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.6782095432281494<\/span>,<\/span> part<\/span>:<\/span> '<\/span>leftEye<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.9743408560752869<\/span>,<\/span> part<\/span>:<\/span> '<\/span>rightEye<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.3834344744682312<\/span>,<\/span> part<\/span>:<\/span> '<\/span>leftEar<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.9573087692260742<\/span>,<\/span> part<\/span>:<\/span> '<\/span>rightEar<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.9608330726623535<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>leftShoulder<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.970580518245697<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>rightShoulder<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.5824703574180603<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>leftElbow<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.8478972911834717<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>rightElbow<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.4102041721343994<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>leftWrist<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.43626463413238525<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>rightWrist<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.9976338148117065<\/span>,<\/span> part<\/span>:<\/span> '<\/span>leftHip<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.9926899671554565<\/span>,<\/span> part<\/span>:<\/span> '<\/span>rightHip<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span> score<\/span>:<\/span> 0.9901325702667236<\/span>,<\/span> part<\/span>:<\/span> '<\/span>leftKnee<\/span>'<\/span>,<\/span> position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span> },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.9896235466003418<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>rightKnee<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.9450682401657104<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>leftAnkle<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    },<\/span>\r\n    {<\/span>\r\n      score<\/span>:<\/span> 0.9553994536399841<\/span>,<\/span>\r\n      part<\/span>:<\/span> '<\/span>rightAnkle<\/span>'<\/span>,<\/span>\r\n      position<\/span>:<\/span> [<\/span>Object<\/span>]<\/span>\r\n    }<\/span>\r\n  ]<\/span>\r\n}<\/span>\r\n<\/code><\/pre>\n
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\u4f7f\u7528FFmpeg\u5c06MP4\u6162\u52a8\u4f5c\u89c6\u9891\u6309\u7167\u6bcf\u79d2\u4e00\u5e27\u8fdb\u884c\u526a\u5207\u5e76\u5904\u740640\u5f20\u56fe\u50cf\uff0c\u5927\u7ea6\u9700\u8981\u4e09\u5206\u949f\u3002\u8fd9\u4e00\u8fc7\u7a0b\u786e\u5b9e\u9700\u8981GPU\u624d\u80fd\u5e94\u5bf9\u5417\uff1f<\/p>\n
\u901a\u8fc7\u8fd9\u6837\u751f\u6210\u5e26\u6709\u5173\u952e\u70b9\u548c\u9aa8\u9abc\u7684\u56fe\u50cf\uff0c\u6211\u4eec\u53ef\u4ee5\u8fdb\u4e00\u6b65\u4f7f\u7528ffmpeg\u521b\u5efa\u5e26\u6709\u5173\u952e\u70b9\u548c\u9aa8\u9abc\u7684\u52a8\u753b\u3002\u8fd8\u53ef\u4ee5\u5c06\u5176\u5199\u5165JSON\u6587\u4ef6\uff0c\u6216\u8005\u4f7f\u7528canvas\u751f\u6210\u53ea\u5305\u542b\u5173\u952e\u70b9\u548c\u9aa8\u9abc\u7684\u52a8\u753b\u3002\u4f7f\u7528\u670d\u52a1\u5668\u4e0a\u7684TensorFlow\u548cPosenet\uff0c\u53ef\u80fd\u53ef\u4ee5\u5b9e\u73b0\u4e0eOpenpose\u76f8\u5ab2\u7f8e\u7684\u529f\u80fd\u3002\u867d\u7136\u5904\u7406\u901f\u5ea6\u53ef\u80fd\u4e0d\u592a\u5feb\u3002\u3002<\/p>\n
\u6211\u8ba4\u4e3a\u5728CentOS\u548cUbuntu\u4e0a\u4e5f\u53ef\u4ee5\u4ee5\u76f8\u540c\u7684\u65b9\u5f0f\u5b9e\u73b0\u3002<\/p>\n
\"tiger2.jpg\"<\/div>\n","protected":false},"excerpt":{"rendered":"
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