{"id":32651,"date":"2023-11-18T07:33:07","date_gmt":"2023-02-08T23:48:49","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8nodejs%e7%9a%84%e5%9b%be%e5%83%8f%e5%a4%84%e7%90%86%e5%ba%93sharp%e6%9d%a5%e6%8b%bc%e6%8e%a5%e5%9b%be%e5%83%8f%e3%80%82\/"},"modified":"2024-05-04T09:39:23","modified_gmt":"2024-05-04T01:39:23","slug":"%e4%bd%bf%e7%94%a8nodejs%e7%9a%84%e5%9b%be%e5%83%8f%e5%a4%84%e7%90%86%e5%ba%93sharp%e6%9d%a5%e6%8b%bc%e6%8e%a5%e5%9b%be%e5%83%8f%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8nodejs%e7%9a%84%e5%9b%be%e5%83%8f%e5%a4%84%e7%90%86%e5%ba%93sharp%e6%9d%a5%e6%8b%bc%e6%8e%a5%e5%9b%be%e5%83%8f%e3%80%82\/","title":{"rendered":"\u4f7f\u7528NodeJS\u7684\u56fe\u50cf\u5904\u7406\u5e93&#8221;sharp&#8221;\u6765\u62fc\u63a5\u56fe\u50cf"},"content":{"rendered":"<h1>\u9996\u5148<\/h1>\n<p>\u6700\u8fd1\u6211\u9047\u5230\u4e86\u4e00\u4e2a\u95ee\u9898\uff0c\u60f3\u8981\u50cfNodeJS\u4e2d\u7684ImageMagick\u7684append\u90a3\u6837\u7b80\u5355\u5730\u5c06\u5927\u5c0f\u4e0d\u540c\u7684\u56fe\u7247\u6a2a\u5411\u8fde\u63a5\u8d77\u6765\u3002\u4f46\u662f\u7531\u4e8e\u592a\u7b80\u5355\u4e86\uff0c\u5f88\u96be\u627e\u5230\u76f8\u5173\u7684\u6587\u7ae0\uff0c\u6240\u4ee5\u6211\u60f3\u5199\u4e0b\u5907\u5fd8\u5f55\u4f5c\u4e3a\u8bb0\u5f55\u3002<\/p>\n<h1>\u8981\u505a\u7684\u4e8b\u60c5<\/h1>\n<ul class=\"post-ul\">sharp\u3067\u753b\u50cf\u60c5\u5831\u53d6\u5f97\u3001\u9023\u7d50<\/ul>\n<h1>\u7248\u672c<\/h1>\n<p>NodeJS: v12.14.1<br \/>\n\u92b3\u5229: v0.23.4<\/p>\n<h1>\u4ea7\u7269<\/h1>\n<h2>\u51fa\u73b0\u7684\u56fe\u50cf<\/h2>\n<div><img decoding=\"async\" class=\"post-images\" title=\"\" src=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d12ea37434c4406bf7813\/8-0.png\" alt=\"output.png\" \/><\/div>\n<h2>\u7a0b\u5f0f\u78bc<\/h2>\n<pre class=\"post-pre\"><code>yarn init <span class=\"nt\">-y<\/span>\r\nyarn add sharp\r\n<\/code><\/pre>\n<p>\u8fd9\u91cc\u662f\u6e90\u4ee3\u7801\u7684\u94fe\u63a5\uff1a<br \/>\nhttps:\/\/github.com\/engabesi\/appendImages<\/p>\n<p>\u9996\u5148\uff0c\u6211\u4f1a\u7c98\u8d34\u6574\u7bc7\u6587\u7ae0\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kd\">const<\/span> <span class=\"nx\">sharp<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">require<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">sharp<\/span><span class=\"dl\">\"<\/span><span class=\"p\">);<\/span>\r\n\r\n<span class=\"p\">(<\/span><span class=\"k\">async<\/span> <span class=\"p\">()<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">imagePaths<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">images\/1.jpg<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">images\/2.jpg<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">images\/3.jpg<\/span><span class=\"dl\">\"<\/span><span class=\"p\">];<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">imageAttrs<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[];<\/span>\r\n\r\n  <span class=\"c1\">\/\/ \u9023\u7d50\u3059\u308b\u753b\u50cf\u306e\u60c5\u5831\u53d6\u5f97<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">promises<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[];<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">imagePromise<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">path<\/span> <span class=\"o\">=&gt;<\/span>\r\n    <span class=\"k\">new<\/span> <span class=\"nb\">Promise<\/span><span class=\"p\">(<\/span><span class=\"k\">async<\/span> <span class=\"nx\">resolve<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n      <span class=\"kd\">const<\/span> <span class=\"nx\">image<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">sharp<\/span><span class=\"p\">(<\/span><span class=\"nx\">path<\/span><span class=\"p\">);<\/span>\r\n      <span class=\"kd\">let<\/span> <span class=\"nx\">width<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">,<\/span>\r\n        <span class=\"nx\">height<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">;<\/span>\r\n      <span class=\"k\">await<\/span> <span class=\"nx\">image<\/span>\r\n        <span class=\"p\">.<\/span><span class=\"nx\">metadata<\/span><span class=\"p\">()<\/span>\r\n        <span class=\"p\">.<\/span><span class=\"nx\">then<\/span><span class=\"p\">(<\/span><span class=\"nx\">meta<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">([<\/span><span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"nx\">height<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"nx\">meta<\/span><span class=\"p\">.<\/span><span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"nx\">meta<\/span><span class=\"p\">.<\/span><span class=\"nx\">height<\/span><span class=\"p\">]));<\/span>\r\n      <span class=\"kd\">const<\/span> <span class=\"nx\">buf<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">image<\/span><span class=\"p\">.<\/span><span class=\"nx\">toBuffer<\/span><span class=\"p\">();<\/span>\r\n      <span class=\"nx\">resolve<\/span><span class=\"p\">({<\/span> <span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"nx\">height<\/span><span class=\"p\">,<\/span> <span class=\"nx\">buf<\/span> <span class=\"p\">});<\/span>\r\n    <span class=\"p\">});<\/span>\r\n  <span class=\"nx\">imagePaths<\/span><span class=\"p\">.<\/span><span class=\"nx\">forEach<\/span><span class=\"p\">(<\/span><span class=\"nx\">path<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">promises<\/span><span class=\"p\">.<\/span><span class=\"nx\">push<\/span><span class=\"p\">(<\/span><span class=\"nx\">imagePromise<\/span><span class=\"p\">(<\/span><span class=\"nx\">path<\/span><span class=\"p\">)));<\/span>\r\n  <span class=\"k\">await<\/span> <span class=\"nb\">Promise<\/span><span class=\"p\">.<\/span><span class=\"nx\">all<\/span><span class=\"p\">(<\/span><span class=\"nx\">promises<\/span><span class=\"p\">).<\/span><span class=\"nx\">then<\/span><span class=\"p\">(<\/span><span class=\"nx\">values<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n    <span class=\"nx\">values<\/span><span class=\"p\">.<\/span><span class=\"nx\">forEach<\/span><span class=\"p\">(<\/span><span class=\"nx\">value<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">push<\/span><span class=\"p\">(<\/span><span class=\"nx\">value<\/span><span class=\"p\">));<\/span>\r\n  <span class=\"p\">});<\/span>\r\n\r\n  <span class=\"c1\">\/\/ output\u3059\u308b\u753b\u50cf\u306e\u8a2d\u5b9a<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">outputImgWidth<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">reduce<\/span><span class=\"p\">((<\/span><span class=\"nx\">acc<\/span><span class=\"p\">,<\/span> <span class=\"nx\">cur<\/span><span class=\"p\">)<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">acc<\/span> <span class=\"o\">+<\/span> <span class=\"nx\">cur<\/span><span class=\"p\">.<\/span><span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"mi\">0<\/span><span class=\"p\">);<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">outputImgHeight<\/span> <span class=\"o\">=<\/span> <span class=\"nb\">Math<\/span><span class=\"p\">.<\/span><span class=\"nx\">max<\/span><span class=\"p\">(...<\/span><span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">map<\/span><span class=\"p\">(<\/span><span class=\"nx\">v<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">v<\/span><span class=\"p\">.<\/span><span class=\"nx\">height<\/span><span class=\"p\">));<\/span>\r\n  <span class=\"kd\">let<\/span> <span class=\"nx\">totalLeft<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">;<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">compositeParams<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">map<\/span><span class=\"p\">(<\/span><span class=\"nx\">image<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n    <span class=\"kd\">const<\/span> <span class=\"nx\">left<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">totalLeft<\/span><span class=\"p\">;<\/span>\r\n    <span class=\"nx\">totalLeft<\/span> <span class=\"o\">+=<\/span> <span class=\"nx\">image<\/span><span class=\"p\">.<\/span><span class=\"nx\">width<\/span><span class=\"p\">;<\/span>\r\n    <span class=\"k\">return<\/span> <span class=\"p\">{<\/span>\r\n      <span class=\"na\">input<\/span><span class=\"p\">:<\/span> <span class=\"nx\">image<\/span><span class=\"p\">.<\/span><span class=\"nx\">buf<\/span><span class=\"p\">,<\/span>\r\n      <span class=\"na\">gravity<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">northwest<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\r\n      <span class=\"na\">left<\/span><span class=\"p\">:<\/span> <span class=\"nx\">left<\/span><span class=\"p\">,<\/span>\r\n      <span class=\"na\">top<\/span><span class=\"p\">:<\/span> <span class=\"mi\">0<\/span>\r\n    <span class=\"p\">};<\/span>\r\n  <span class=\"p\">});<\/span>\r\n\r\n  <span class=\"c1\">\/\/ \u9023\u7d50\u51e6\u7406<\/span>\r\n  <span class=\"nx\">sharp<\/span><span class=\"p\">({<\/span>\r\n    <span class=\"na\">create<\/span><span class=\"p\">:<\/span> <span class=\"p\">{<\/span>\r\n      <span class=\"na\">width<\/span><span class=\"p\">:<\/span> <span class=\"nx\">outputImgWidth<\/span><span class=\"p\">,<\/span>\r\n      <span class=\"na\">height<\/span><span class=\"p\">:<\/span> <span class=\"nx\">outputImgHeight<\/span><span class=\"p\">,<\/span>\r\n      <span class=\"na\">channels<\/span><span class=\"p\">:<\/span> <span class=\"mi\">4<\/span><span class=\"p\">,<\/span>\r\n      <span class=\"na\">background<\/span><span class=\"p\">:<\/span> <span class=\"p\">{<\/span> <span class=\"na\">r<\/span><span class=\"p\">:<\/span> <span class=\"mi\">255<\/span><span class=\"p\">,<\/span> <span class=\"na\">g<\/span><span class=\"p\">:<\/span> <span class=\"mi\">255<\/span><span class=\"p\">,<\/span> <span class=\"na\">b<\/span><span class=\"p\">:<\/span> <span class=\"mi\">255<\/span><span class=\"p\">,<\/span> <span class=\"na\">alpha<\/span><span class=\"p\">:<\/span> <span class=\"mi\">0<\/span> <span class=\"p\">}<\/span>\r\n    <span class=\"p\">}<\/span>\r\n  <span class=\"p\">})<\/span>\r\n    <span class=\"p\">.<\/span><span class=\"nx\">composite<\/span><span class=\"p\">(<\/span><span class=\"nx\">compositeParams<\/span><span class=\"p\">)<\/span>\r\n    <span class=\"p\">.<\/span><span class=\"nx\">toFile<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">output.png<\/span><span class=\"dl\">\"<\/span><span class=\"p\">);<\/span>\r\n<span class=\"p\">})();<\/span>\r\n<\/code><\/pre>\n<p>\u53ea\u9700\u8fd0\u884cnode index.js\u5373\u53ef\u5c06\u56fe\u7247\u5728\u5de6\u4e0a\u89d2\u8fde\u63a5\u8d77\u6765\u3002<\/p>\n<h1>\u89e3\u91ca<\/h1>\n<p>\u9996\u5148\uff0c\u5bfc\u5165sharp\u5e93\u3002<br \/>\n\u5173\u4e8esharp\u7684\u8be6\u7ec6\u4fe1\u606f\uff0c\u8bf7\u53c2\u9605\u5b98\u65b9\u6587\u6863\u3002<br \/>\nhttps:\/\/github.com\/lovell\/sharp<br \/>\nhttps:\/\/sharp.pixelplumbing.com\/en\/stable\/<\/p>\n<pre class=\"post-pre\"><code><span class=\"kd\">const<\/span> <span class=\"nx\">sharp<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">require<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">sharp<\/span><span class=\"dl\">\"<\/span><span class=\"p\">);<\/span>\r\n<\/code><\/pre>\n<h2>\u83b7\u53d6\u56fe\u50cf\u4fe1\u606f<\/h2>\n<p>\u58f0\u660e\u4e00\u4e2a\u6570\u7ec4\u6765\u5b58\u50a8\u56fe\u7247\u94fe\u63a5\u8def\u5f84\u548c\u56fe\u7247\u4fe1\u606f\u7684\u6570\u7ec4\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kd\">const<\/span> <span class=\"nx\">imagePaths<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">images\/1.jpg<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">images\/2.jpg<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">images\/3.jpg<\/span><span class=\"dl\">\"<\/span><span class=\"p\">];<\/span>\r\n<span class=\"kd\">const<\/span> <span class=\"nx\">imageAttrs<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[];<\/span>\r\n<\/code><\/pre>\n<p>\u521b\u5efa\u4e00\u4e2aPromise\u6765\u83b7\u53d6\u56fe\u50cf\u7684width\u3001height\u548cbuffer\uff0c\u5e76\u4f7f\u7528Promise.all\u6765\u5e76\u884c\u6267\u884c\u6240\u6709\u56fe\u50cf\u3002<br \/>\n\u5728Promise.all\u7684then\u4e2d\uff0c\u5c06\u83b7\u53d6\u5230\u7684\u4fe1\u606fpush\u5230\u4e4b\u524d\u58f0\u660e\u7684\u56fe\u50cf\u4fe1\u606f\u6570\u7ec4\u4e2d\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kd\">const<\/span> <span class=\"nx\">promises<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[];<\/span>\r\n<span class=\"kd\">const<\/span> <span class=\"nx\">imagePromise<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">path<\/span> <span class=\"o\">=&gt;<\/span>\r\n  <span class=\"k\">new<\/span> <span class=\"nb\">Promise<\/span><span class=\"p\">(<\/span><span class=\"k\">async<\/span> <span class=\"nx\">resolve<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n    <span class=\"kd\">const<\/span> <span class=\"nx\">image<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">sharp<\/span><span class=\"p\">(<\/span><span class=\"nx\">path<\/span><span class=\"p\">);<\/span>\r\n    <span class=\"kd\">let<\/span> <span class=\"nx\">width<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">,<\/span> <span class=\"nx\">height<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">;<\/span>\r\n    <span class=\"k\">await<\/span> <span class=\"nx\">image<\/span>\r\n      <span class=\"p\">.<\/span><span class=\"nx\">metadata<\/span><span class=\"p\">()<\/span>\r\n      <span class=\"p\">.<\/span><span class=\"nx\">then<\/span><span class=\"p\">(<\/span><span class=\"nx\">meta<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">([<\/span><span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"nx\">height<\/span><span class=\"p\">]<\/span> <span class=\"o\">=<\/span> <span class=\"p\">[<\/span><span class=\"nx\">meta<\/span><span class=\"p\">.<\/span><span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"nx\">meta<\/span><span class=\"p\">.<\/span><span class=\"nx\">height<\/span><span class=\"p\">]));<\/span>\r\n    <span class=\"kd\">const<\/span> <span class=\"nx\">buf<\/span> <span class=\"o\">=<\/span> <span class=\"k\">await<\/span> <span class=\"nx\">image<\/span><span class=\"p\">.<\/span><span class=\"nx\">toBuffer<\/span><span class=\"p\">();<\/span>\r\n    <span class=\"nx\">resolve<\/span><span class=\"p\">({<\/span> <span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"nx\">height<\/span><span class=\"p\">,<\/span> <span class=\"nx\">buf<\/span> <span class=\"p\">});<\/span>\r\n  <span class=\"p\">});<\/span>\r\n<span class=\"nx\">imagePaths<\/span><span class=\"p\">.<\/span><span class=\"nx\">forEach<\/span><span class=\"p\">(<\/span><span class=\"nx\">path<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">promises<\/span><span class=\"p\">.<\/span><span class=\"nx\">push<\/span><span class=\"p\">(<\/span><span class=\"nx\">imagePromise<\/span><span class=\"p\">(<\/span><span class=\"nx\">path<\/span><span class=\"p\">)));<\/span>\r\n<span class=\"k\">await<\/span> <span class=\"nb\">Promise<\/span><span class=\"p\">.<\/span><span class=\"nx\">all<\/span><span class=\"p\">(<\/span><span class=\"nx\">promises<\/span><span class=\"p\">).<\/span><span class=\"nx\">then<\/span><span class=\"p\">(<\/span><span class=\"nx\">values<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n  <span class=\"nx\">values<\/span><span class=\"p\">.<\/span><span class=\"nx\">forEach<\/span><span class=\"p\">(<\/span><span class=\"nx\">value<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">push<\/span><span class=\"p\">(<\/span><span class=\"nx\">value<\/span><span class=\"p\">));<\/span>\r\n<span class=\"p\">});<\/span>\r\n<\/code><\/pre>\n<p>\u4e3a\u4ec0\u4e48\u5728\u6267\u884cPromise\u65f6(imagePromise(path))\u4e0d\u5728then\u4e2d\u5904\u7406\u5462\uff0c\u56e0\u4e3a\u8fd9\u91cc\u7684then\u4f1a\u6309\u7167\u5b8c\u6210\u987a\u5e8f\u4f9d\u6b21\u6267\u884c\u3002<br \/>\n\u8fd9\u6b21\u6211\u4eec\u5e0c\u671b\u56fa\u5b9a\u8fde\u63a5\u987a\u5e8f\uff0c\u6240\u4ee5\u5728Promise.all\u7684then\u4e2d\u8fdb\u884c\u5904\u7406\u3002<\/p>\n<h2>\u8bbe\u5b9a\u8f93\u51fa\u56fe\u50cf<\/h2>\n<p>\u83b7\u53d6width\u503c\u65f6\u5c06\u83b7\u53d6\u6240\u6709\u56fe\u50cf\u7684\u5bbd\u5ea6\u603b\u548c\uff0c\u83b7\u53d6height\u503c\u65f6\u5c06\u83b7\u53d6\u6240\u6709\u56fe\u50cf\u7684\u6700\u5927\u9ad8\u5ea6\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kd\">const<\/span> <span class=\"nx\">outputImgWidth<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">reduce<\/span><span class=\"p\">((<\/span><span class=\"nx\">acc<\/span><span class=\"p\">,<\/span> <span class=\"nx\">cur<\/span><span class=\"p\">)<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">acc<\/span> <span class=\"o\">+<\/span> <span class=\"nx\">cur<\/span><span class=\"p\">.<\/span><span class=\"nx\">width<\/span><span class=\"p\">,<\/span> <span class=\"mi\">0<\/span><span class=\"p\">);<\/span>\r\n<span class=\"kd\">const<\/span> <span class=\"nx\">outputImgHeight<\/span> <span class=\"o\">=<\/span> <span class=\"nb\">Math<\/span><span class=\"p\">.<\/span><span class=\"nx\">max<\/span><span class=\"p\">(...<\/span><span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">map<\/span><span class=\"p\">(<\/span><span class=\"nx\">v<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"nx\">v<\/span><span class=\"p\">.<\/span><span class=\"nx\">height<\/span><span class=\"p\">));<\/span>\r\n<\/code><\/pre>\n<p>sharp\u4f1a\u4f7f\u7528composite\u65b9\u6cd5\u8fdb\u884c\u56fe\u50cf\u5408\u5e76\u5904\u7406\u7b49\u64cd\u4f5c\u3002<br \/>\n\u5bf9\u4e8e\u8be5composite\u65b9\u6cd5\uff0c\u6211\u4eec\u9700\u8981\u8fdb\u884cparam\u53c2\u6570\u7684\u8bbe\u7f6e\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"kd\">let<\/span> <span class=\"nx\">totalLeft<\/span> <span class=\"o\">=<\/span> <span class=\"mi\">0<\/span><span class=\"p\">;<\/span>\r\n<span class=\"kd\">const<\/span> <span class=\"nx\">compositeParams<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">imageAttrs<\/span><span class=\"p\">.<\/span><span class=\"nx\">map<\/span><span class=\"p\">(<\/span><span class=\"nx\">image<\/span> <span class=\"o\">=&gt;<\/span> <span class=\"p\">{<\/span>\r\n  <span class=\"kd\">const<\/span> <span class=\"nx\">left<\/span> <span class=\"o\">=<\/span> <span class=\"nx\">totalLeft<\/span><span class=\"p\">;<\/span>\r\n  <span class=\"nx\">totalLeft<\/span> <span class=\"o\">+=<\/span> <span class=\"nx\">image<\/span><span class=\"p\">.<\/span><span class=\"nx\">width<\/span><span class=\"p\">;<\/span>\r\n  <span class=\"k\">return<\/span> <span class=\"p\">{<\/span>\r\n    <span class=\"na\">input<\/span><span class=\"p\">:<\/span> <span class=\"nx\">image<\/span><span class=\"p\">.<\/span><span class=\"nx\">buf<\/span><span class=\"p\">,<\/span>\r\n    <span class=\"na\">gravity<\/span><span class=\"p\">:<\/span> <span class=\"dl\">\"<\/span><span class=\"s2\">northwest<\/span><span class=\"dl\">\"<\/span><span class=\"p\">,<\/span>\r\n    <span class=\"na\">left<\/span><span class=\"p\">:<\/span> <span class=\"nx\">left<\/span><span class=\"p\">,<\/span>\r\n    <span class=\"na\">top<\/span><span class=\"p\">:<\/span> <span class=\"mi\">0<\/span>\r\n  <span class=\"p\">};<\/span>\r\n<span class=\"p\">});<\/span>\r\n<\/code><\/pre>\n<p>\u5c06\u56fe\u50cf\u7684\u7f13\u51b2\u533a\u653e\u5165\u8f93\u5165\u3002<br \/>\n\u901a\u8fc7\u65b9\u5411\u6765\u6307\u5b9a\u91cd\u529b\u3002\u7531\u4e8e\u672c\u6b21\u662f\u5de6\u4e0a\u5bf9\u9f50\u7684\u8fde\u63a5\u65b9\u5f0f\uff0c\u56e0\u6b64\u4f7f\u7528northwest\u3002<br \/>\nleft\u548ctop\u4f7f\u7528\u50cf\u7d20\u4e3a\u5355\u4f4d\u8bbe\u7f6e\u504f\u79fb\u91cf\u3002<br \/>\n\u8bf7\u8be6\u7ec6\u9605\u8bfbsharp\u5b98\u65b9\u6587\u6863\u3002<br \/>\nhttps:\/\/sharp.pixelplumbing.com\/en\/stable\/api-composite\/<\/p>\n<h2>\u8f93\u51fa\u56fe\u7247<\/h2>\n<p>\u6700\u540e\u4f7f\u7528sharp\u5c06\u56fe\u50cf\u8fdb\u884c\u8f93\u51fa\u3002<\/p>\n<pre class=\"post-pre\"><code><span class=\"nx\">sharp<\/span><span class=\"p\">({<\/span>\r\n  <span class=\"na\">create<\/span><span class=\"p\">:<\/span> <span class=\"p\">{<\/span>\r\n    <span class=\"na\">width<\/span><span class=\"p\">:<\/span> <span class=\"nx\">outputImgWidth<\/span><span class=\"p\">,<\/span>\r\n    <span class=\"na\">height<\/span><span class=\"p\">:<\/span> <span class=\"nx\">outputImgHeight<\/span><span class=\"p\">,<\/span>\r\n    <span class=\"na\">channels<\/span><span class=\"p\">:<\/span> <span class=\"mi\">4<\/span><span class=\"p\">,<\/span>\r\n    <span class=\"na\">background<\/span><span class=\"p\">:<\/span> <span class=\"p\">{<\/span> <span class=\"na\">r<\/span><span class=\"p\">:<\/span> <span class=\"mi\">255<\/span><span class=\"p\">,<\/span> <span class=\"na\">g<\/span><span class=\"p\">:<\/span> <span class=\"mi\">255<\/span><span class=\"p\">,<\/span> <span class=\"na\">b<\/span><span class=\"p\">:<\/span> <span class=\"mi\">255<\/span><span class=\"p\">,<\/span> <span class=\"na\">alpha<\/span><span class=\"p\">:<\/span> <span class=\"mi\">0<\/span> <span class=\"p\">}<\/span>\r\n  <span class=\"p\">}<\/span>\r\n<span class=\"p\">})<\/span>\r\n  <span class=\"p\">.<\/span><span class=\"nx\">composite<\/span><span class=\"p\">(<\/span><span class=\"nx\">compositeParams<\/span><span class=\"p\">)<\/span>\r\n  <span class=\"p\">.<\/span><span class=\"nx\">toFile<\/span><span class=\"p\">(<\/span><span class=\"dl\">\"<\/span><span class=\"s2\">output.png<\/span><span class=\"dl\">\"<\/span><span class=\"p\">);<\/span>\r\n<\/code><\/pre>\n<p>\u8fd9\u6837\u5c31\u4f1a\u5728\u6839\u76ee\u5f55\u4e0b\u521b\u5efa\u4e00\u4e2aoutput.png\u6587\u4ef6\u3002<br \/>\n\u5982\u679c\u4e0d\u9700\u8981\u8fde\u63a5\u5904\u7684\u7a7a\u767d\u90e8\u5206\u900f\u660e\uff0c\u6216\u8005\u60f3\u8981\u51cf\u5c0f\u6587\u4ef6\u5c3a\u5bf8\uff0c<br \/>\n\u60a8\u53ef\u4ee5\u5c06channels\u4ece4\u66f4\u6539\u4e3a3\uff0c\u5e76\u6d88\u9664\u80cc\u666f\u7684alpha\u901a\u9053\uff0c<br \/>\n\u8fd8\u53ef\u4ee5\u6839\u636e\u559c\u597d\u81ea\u7531\u5730\u66f4\u6539\u8f93\u51fa\u56fe\u7247\u7684\u6269\u5c55\u540d\u4e3ajpg\u7b49\u8fdb\u884c\u4fee\u6539\u3002<\/p>\n<h1>\u6982\u8ff0<\/h1>\n<p>\u6211\u5728\u8fd9\u91cc\u6ca1\u6709\u4f7f\u7528reject\u6765\u5904\u7406\u9519\u8bef\u7b49\u7b49\uff0c\u53ef\u80fd\u662f\u6709\u70b9\u5f3a\u884c\uff0c\u4f46\u6211\u5df2\u7ecf\u5b9e\u73b0\u4e86\u56fe\u50cf\u8fde\u63a5\u5904\u7406\u3002<br \/>\n\u867d\u7136\u6211\u7ffb\u9605\u4e86\u6587\u6863\uff0c\u4f46\u6211\u6ca1\u6709\u53d1\u73b0\u81ea\u5df1\u5728\u91cd\u65b0\u53d1\u660e\u8f6e\u5b50\u3002<br \/>\n\u5982\u679c\u6709\u7684\u8bdd\uff0c\u8bf7\u544a\u8bc9\u6211\uff0c\u6211\u4f1a\u5f88\u611f\u6fc0\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u9996\u5148 \u6700\u8fd1\u6211\u9047\u5230\u4e86\u4e00\u4e2a\u95ee\u9898\uff0c\u60f3\u8981\u50cfNodeJS\u4e2d\u7684ImageMagick\u7684append\u90a3\u6837\u7b80\u5355\u5730\u5c06\u5927\u5c0f\u4e0d\u540c\u7684\u56fe [&hellip;]<\/p>\n","protected":false},"author":10,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-32651","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.5 (Yoast SEO v21.5) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>\u4f7f\u7528NodeJS\u7684\u56fe\u50cf\u5904\u7406\u5e93&quot;sharp&quot;\u6765\u62fc\u63a5\u56fe\u50cf - Blog - Silicon Cloud<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528nodejs\u7684\u56fe\u50cf\u5904\u7406\u5e93sharp\u6765\u62fc\u63a5\u56fe\u50cf\u3002\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u4f7f\u7528NodeJS\u7684\u56fe\u50cf\u5904\u7406\u5e93&quot;sharp&quot;\u6765\u62fc\u63a5\u56fe\u50cf\" \/>\n<meta property=\"og:description\" content=\"\u9996\u5148 \u6700\u8fd1\u6211\u9047\u5230\u4e86\u4e00\u4e2a\u95ee\u9898\uff0c\u60f3\u8981\u50cfNodeJS\u4e2d\u7684ImageMagick\u7684append\u90a3\u6837\u7b80\u5355\u5730\u5c06\u5927\u5c0f\u4e0d\u540c\u7684\u56fe [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.silicloud.com\/zh\/blog\/\u4f7f\u7528nodejs\u7684\u56fe\u50cf\u5904\u7406\u5e93sharp\u6765\u62fc\u63a5\u56fe\u50cf\u3002\/\" \/>\n<meta property=\"og:site_name\" content=\"Blog - Silicon Cloud\" \/>\n<meta property=\"article:published_time\" content=\"2023-02-08T23:48:49+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2024-05-04T01:39:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cdn.silicloud.com\/blog-img\/blog\/img\/657d12ea37434c4406bf7813\/8-0.png\" \/>\n<meta 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