iswindow函数:检测value是否为window对象的实用指南

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资源摘要信息:"iswindow:检查 value 是否为 window 对象" 知识点详细说明: 1. 概念理解 在JavaScript中,window对象表示浏览器中的一个窗口,它是一个全局对象,即全局作用域中的变量和函数都是window对象的属性和方法。在浏览器环境中,几乎所有的JavaScript代码都是window对象的一部分。 2. 检测window对象的必要性 在Web开发过程中,有时我们需要检测某个变量是否为window对象,这在某些特定的编程场景中很有用,比如在编写可复用的组件或者库时,我们需要确保某个函数只在window对象上运行。比如,我们可能不想在某个函数中执行一些只有在浏览器环境下才有的操作,这时候就需要使用到检测window对象的技术。 3. iswindow库的作用 iswindow库是一个专门用于检测JavaScript中的某个值是否为window对象的工具。这个库针对IE8+浏览器进行了优化,但是它也兼容IE6+和旧版Safaris浏览器。这意味着,该库在大多数现代浏览器和一些老旧浏览器中都可以工作。 4. 安装和使用 通过npm安装iswindow库非常简单,只需要运行`component install darsain/iswindow`命令即可。安装完成后,就可以通过`require`的方式引入库,并使用`isWindow`函数。例如: ```javascript var isWindow = require('iswindow'); isWindow(window); // 返回 true isWindow(anythingElse); // 返回 false ``` 这段代码中,`isWindow`函数接受一个参数`value`,返回一个布尔值,表明传入的值是否为window对象。 5. 检测方法的特殊性 在iswindow库的实现中,它使用了“duck类型”(duck typing)和双等号(==)来进行比较。所谓duck类型,是指“如果它看起来像鸭子,走起来像鸭子,那它就是鸭子”,在这里就是说,如果一个对象表现得像window,那么它可能就是一个window对象。双等号比较是JavaScript中的非严格比较操作符,它在比较时会进行类型转换。 6. IE8中的特殊性 在IE8中,window对象存在一些特殊的行为。比如直接使用双等号(==)比较window对象自身,可能会得到false,例如: ```javascript window.window === window; // 在IE8中返回 false ``` 这在其他浏览器中通常会返回true,因为`window.window`就是window对象本身。这是因为在IE8中,非严格相等操作符(==)的比较规则略有不同,这可能与其他浏览器实现的ECMAScript规范有所差异。 7. 适用场景 iswindow库可以应用于需要进行条件性功能执行的场景,例如,当编写跨浏览器的代码时,可以通过检测是否在window对象上运行来避免运行时错误。或者,在制作网页的UI组件时,只有当某个变量确实是全局window对象时才执行特定操作。 8. 使用注意事项 在使用iswindow进行检测时,需要注意的是,它返回true并不意味着传入的值是全局window对象,它仅仅是表明这个值是一个window对象。特别是在某些复杂的Web应用中,可能会存在多个iframe,每个iframe都会有自己的window对象,这种情况下需要额外注意。 总结,iswindow库为JavaScript开发者提供了一种方便的检测方法,能够帮助开发者判断一个值是否为window对象,这对于维护跨浏览器兼容性以及编写健壮的Web应用代码非常有用。

xdxy@xdxy123:~/rm/rm123/rm/qdu-rm-ai/build/src/apps/demo/double$ /home/xdxy/rm/rm123/rm/qdu-rm-ai/build/src/apps/demo/double/demo_double [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(blocksize_up@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(numdisparity_up@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(disp12MaxDiff_down@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(uniquenessRatio_down_5_15@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(preFilterCap_up@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(speckleWindowSize_down@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. [ WARN:0] global /home/eric/env/temp_env/source_code/opencv/modules/highgui/src/window.cpp (703) createTrackbar UI/Trackbar(speckleRange_down@Depth): Using 'value' pointer is unsafe and deprecated. Use NULL as value pointer. To fetch trackbar value setup callback. 浮点数例外 (核心已转储)

2023-07-12 上传

<script setup> import { ref,reactive,onMounted ,computed,onUpdated} from 'vue' import * as echarts from 'echarts'; import bootstrap from 'bootstrap/dist/js/bootstrap.js' let isfull=ref() let ismin=ref() let midSize=1080 let windowWidth=ref(window.innerWidth) let windowHeight=ref(window.innerHeight) function pageinit(){ getWindowSize(); if(windowWidth.value>midSize){ isfull.value=true ; ismin.value=false; }else{ isfull.value=false ; ismin.value=true; } } function getWindowSize() { windowWidth.value = window.innerWidth; windowHeight.value = window.innerHeight; } onUpdated(()=>{ rizeChart(OutPutChart) rizeChart(ObjChart) }) onMounted(()=>{ pageinit(); let OutPutOption=({ xAxis: { type: 'category', data: ['Mon', 'Tue', 'Wed', 'Thu', 'Fri', 'Sat', 'Sun'] }, yAxis: { type: 'value' }, series: [ { data: [820, 932, 901, 934, 1290, 1330, 1320], type: 'line', smooth: true } ] }; let OutPutChart= echarts.init(document.getElementById('OutPutChart')) OutPutOption && OutPutChart.setOption(OutPutOption) rizeChart(OutPutChart) window.addEventListener('resize', function() { pageinit() rizeChart(OutPutChart) }) }) function rizeChart(chart){ chart.resize; } const card_size = computed(() => { return isfull.value ? 'card_size_full' : 'card_size_min' }) </script> <template>
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</template> <style scoped> .card-color{ text-align: center !important; background-color: #ffffff !important; } .card_size_full{ width: 49%; height: 450px; margin-right: 10px; margin-bottom: 10px; float: left; } .card_size_min{ width: 99%; height: 450px; margin: 5px auto; } </style>我的代码是这样的能帮我改一下吗

2023-07-17 上传

% Read two images %image1 = imread('1.png'); %image2 = imread('2.png'); image1 = imread('40.bmp'); image2 = imread('乙醇.bmp'); % Down-sample the image to half its original resolution downsampled_image1 = imresize(image1, 0.1); downsampled_image2 = imresize(image2, 0.1); % Convert images to grayscale image1 = rgb2gray(downsampled_image1); image2 = rgb2gray(downsampled_image2); % Convert images to double precision for computations image1 = double(image1); image2 = double(image2); % Determine size of images [n, m] = size(image1); % Initialize matrices for displacement fields u = zeros(n, m); v = zeros(n, m); % Set window size for correlation (odd number to have a central pixel) window_size = 15; half_window_size = (window_size-1)/2; % You need to initialize these variables before the loop uTemp = zeros(n, m); vTemp = zeros(n, m); for i = 1+half_window_size : n-half_window_size fprintf('The value of i is: %d\n', i); parfor j = 1+half_window_size : m-half_window_size fprintf('The value of j is: %d\n', j); % Extract sub-window from image1 sub_window1 = image1(i-half_window_size : i+half_window_size, j-half_window_size : j+half_window_size); % Skip this sub-window if all its values are the same if numel(unique(sub_window1)) == 1 continue; end % Correlate this with image2 within a search area (here, the whole image) correlation = normxcorr2(sub_window1, image2); % Find the peak correlation [ypeak, xpeak] = find(correlation == max(correlation(:))); % If there are multiple, just take the first one ypeak = ypeak(1); xpeak = xpeak(1); % Compute displacements (be careful about off-by-one due to zero-based and one-based indexing) uTemp(i,j) = ypeak - i; vTemp(i,j) = xpeak - j; end end % Copy the temporary variables back to the original ones after the loop u = uTemp; v = vTemp; % Flatten the images into 1D arrays image1_1D = image1(:); image2_1D = image2(:); % Compute the correlation coefficient correlationCoefficient = corrcoef(image1_1D, image2_1D); % The correlation coefficient is the value at position (1,2) or (2,1) in the output matrix correlationCoefficient = correlationCoefficient(1,2); fprintf('The value of correlationCoefficient is: %d\n', correlationCoefficient); % Display original images and displacement field figure, subplot(1,3,1), imshow(image1, []), title('Image 1'); subplot(1,3,2), imshow(image2, []), title('Image 2'); subplot(1,3,3), quiver(u, v), title('Displacement Field');

2023-06-03 上传