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zB$K(u3WVE&%0M9W;kZ81ZQ+HG$1ltK57!&f8vQvQyC0ta00J7za`}{EuX70~48uL$gagc?qD%MI(i3fWT%i1n^Z`RYd z66a)-^?qlkmi(}!%q!aB-p-!?0EqJHFkwV-^x=Xi2Fr-+)*=SF>*RT3i#oB`-f(V9 z)c8q|i!DGQzgpJ5=>o@~+t>$Oa~D&)J=UmCNJ{C?H^5c+no>w0pDv?)?bF$hT+dLW zN^GI#Qm{c5QbMofZV&Bmb|CFU?ERH_pRRlDLr4P_nYyh(G{?dtSq3a=#(ZZysc7KV^KwL3Q^Sg7HEMzYApS zIdV_Gm!F;{q4X-m^07S4x*l+TfZ_v;EgFIcJCy1MyghM8v9$u*`11CBeqMNa)^aUs zjOx)Q8>!$X{76vc^0pePVaC-0wl-3V~!3m zIeWd<7yQl~P*dvx<6u3bZ_@Zhj*Z8Uzw2$j2M$P0o+SHI&&c!m3mhi~0g)Q&K1Yqc H^%MWu;yB3n diff --git a/index.html b/index.html index 2ad60fc..0b68972 100644 --- a/index.html +++ b/index.html @@ -8,51 +8,68 @@ Sakuya + + + +

基因列表

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    +
  • 101010
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  • 101010
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  • 101010
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  • 101010
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+ + +

统计曲线

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    +
  • 101010
  • +
  • 101010
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  • 101010
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  • 101010
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+
+ +

I/O 输入数据/允许读取/接口触点

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    +
  • 101010
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  • 101010
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  • 101010
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  • 101010
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+
+ +

I/O 允许调用 | IO结构树

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    +
  • fs
  • +
  • net
  • +
  • input + type: text image video voice +
  • +
+
+
    -
  • 不必自动补全的变数
  • -
  • 布局基本形式
  • +
  • 遗传迭代:正确基因构建保留
  • +
  • 行动测试:具有自我行动力和获取外界反馈
  • +
  • 输入大量语言语料, 对应目标理解耦
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    -
  • 自动拦截A标签
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  • -
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    -
  • 按照指令移动
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  • 监测状态变化幅度
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  • 预备触发
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  • 触发执行动作
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  • 触发后修正执行偏差
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  • 检测物体或表面方案
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  • 方案规划逻辑
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  • 目标接纳逻辑
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    -
  • 库模型:
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  • 根模型
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  • 链模型
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  • 模型是模拟信号声明文件, 与编码语言无关, 也与数字运算无关, 数字运算是采样摘要
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  • 元件库: 通过元件组合实现高级元件
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  • 结构库: 通过元件占用特性进行排组, 实现结构合理化自动化, 将器件合并
  • -
  • 数字工厂: 使用材料建模, 并在微观细节声明特征效用
  • -
  • 设计模型过程亦使用声明文件
  • -
  • 方形桶/基座/安装结构, 力能势, 在线模拟? 或远程工厂视频?
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  • 材料强化
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    -
  • 元件列表: 通常是固体或柔性体
  • -
  • 材料列表: 可被塑造的, 或是有限被塑造, 或是不固定特征区域可以被有限塑造
  • -
  • 期望创造一种事物或对现有事物进行改造时
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  • 命名事物并将之组合调整
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  • 由于非手动建模, 只能声明特征并对特征的特定点挂载模型
  • -
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    -
  • 声明过程:
  • -
  • 自动辅助: 空间中只有一个特征时, 视角转向特征中心点, 视场包含特征整体
  • -
  • 声明锚点精度可以无限大, (但制造工艺未必满足)
  • -
  • 可以声明虚拟参照模型, 仅用于挂载点和标示, 而不在实际生产中出现
  • -
- + \ No newline at end of file diff --git a/main.js b/main.js index abe433c..67240db 100644 --- a/main.js +++ b/main.js @@ -8,7 +8,7 @@ document.body.appendChild(matrix.element) var canvas = document.createElement("canvas"), //获取Canvas画布对象 context = canvas.getContext('2d'); //获取2D上下文对象,大多数Canvas API均为此对象方法 var image = new Image(); //定义一个图片对象 -image.src = 'img/img.jpeg'; +image.src = 'img/00010-938548211.png'; image.onload = function () { //此处必须注意!后面所有操作均需在图片加载成功后执行,否则图片将处理无效 context.drawImage(image, 0, 0); //将图片从Canvas画布的左上角(0,0)位置开始绘制,大小默认为图片实际大小 var handle = document.createElement("button"); @@ -21,7 +21,7 @@ image.onload = function () { //此处必须注意!后面所有操作均需在 var imgData = context.getImageData(0, 0, canvas.width, canvas.height); //获取图片数据对象 var average = 0; //获取图片数据数组,该数组中每个像素用4个元素来保存,分别表示红、绿、蓝和透明度值 - // 灰度处理 + //// 灰度处理 //for (var i = 0; i < imgData.data.length; i += 4) { // average = Math.floor((imgData.data[i] + imgData.data[i + 1] + imgData.data[i + 2]) / 3); //将红、绿、蓝色值求平均值后得到灰度值 // imgData.data[i] = imgData.data[i + 1] = imgData.data[i + 2] = average; //将每个像素点的色值重写