AiWROK软件里的OpenCV图片分辨率压缩和质量压缩
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source="https%3A%2F%2Fwww.yuque.com%2Faiwork%2Fnba2pr%2Fyodz2gge7xgan6fl"></ne-clipboard><div class="lake-content" typography="classic"><div class="blockcode"><blockquote>// 导入必要的Android和OpenCV类<br>importClass(android.graphics.Bitmap);<br>importClass(java.io.File);<br>importClass(org.opencv.core.Core);<br>importClass(org.opencv.core.Mat);<br>importClass(org.opencv.core.Size);<br>importClass(org.opencv.imgproc.Imgproc);<br><br>// 全屏截图<br>var img = screen.screenShotFull();<br>if (img.isNull()) {<br> printl("截图失败");<br> exit();<br>}<br><br>// 原始图片信息<br>var originalPath = "/sdcard/original.jpg";<br>img.save(originalPath);<br>printl("原始图片尺寸：" + img.getWidth() + "x" + img.getHeight());<br>printl("原始文件大小：" + (new File(originalPath).length()/1024).toFixed(2) + "KB");<br><br>// 方法1：调整分辨率压缩<br>function resizeCompress(imageObj, targetWidth) {<br> try {<br> var ratio = imageObj.getHeight() / imageObj.getWidth();<br> var targetHeight = Math.round(targetWidth * ratio);<br> <br> var srcMat = imageObj.getMat().clone();<br> var dstMat = new Mat();<br> <br> // 使用更高效的插值算法<br> Imgproc.resize(srcMat, dstMat, <br> new Size(targetWidth, targetHeight), <br> 0, 0, Imgproc.INTER_AREA);<br> <br> // 转换回Bitmap<br> var resultBitmap = Bitmap.createBitmap(<br> dstMat.cols(), <br> dstMat.rows(), <br> Bitmap.Config.RGB_565// 使用更省内存的配置<br> );<br> org.opencv.android.Utils.matToBitmap(dstMat, resultBitmap);<br> <br> // 保存文件<br> var outputPath = "/sdcard/resized_" + targetWidth + ".jpg";<br> var fos = new java.io.FileOutputStream(outputPath);<br> resultBitmap.compress(Bitmap.CompressFormat.JPEG, 85, fos);<br> fos.close();<br> <br> // 资源回收<br> srcMat.release();<br> dstMat.release();<br> resultBitmap.recycle();<br> <br> return outputPath;<br> } catch(e) {<br> printl("压缩出错：" + e.message);<br> return null;<br> }<br>}<br><br>// 方法2：质量压缩<br>function qualityCompress(imageObj, quality) {<br> try {<br> var outputPath = "/sdcard/quality_" + quality + ".jpg";<br> var bitmap = imageObj.getBitmap();<br> var fos = new java.io.FileOutputStream(outputPath);<br> bitmap.compress(Bitmap.CompressFormat.JPEG, quality, fos);<br> fos.close();<br> bitmap.recycle();<br> return outputPath;<br> } catch(e) {<br> printl("质量压缩失败：" + e.message);<br> return null;<br> }<br>}<br><br>// 执行压缩<br>var resizedPath = resizeCompress(img, 640);<br>var qualityPath = qualityCompress(img, 70);<br><br>// 显示压缩结果<br>function showCompressInfo(path) {<br> if (!path) return;<br> var file = new File(path);<br> if (file.exists()) {<br> printl("压缩文件：" + path);<br> printl("压缩后尺寸：" + <br> img.getWidth()*(640/img.getWidth()) + "x" + <br> img.getHeight()*(640/img.getWidth()));<br> printl("压缩后大小：" + (file.length()/1024).toFixed(2) + "KB");<br> }<br>}<br><br>showCompressInfo(resizedPath);<br>showCompressInfo(qualityPath);<br><br>// 资源回收<br>img.recycle();<br></blockquote></div><p id="uf81a71d8" class="ne-p" style="min-height: 24px;"><span class="ne-text"><br></span></p><p id="uf81a71d8" class="ne-p" style="min-height: 24px;"><span class="ne-text"><br></span></p><p id="uf81a71d8" class="ne-p" style="min-height: 24px;"><span class="ne-text">主要包含两种压缩方式：分辨率压缩和质量压缩。以下是代码的详细解释：</span></p><p id="u20fbf403" class="ne-p" style="min-height: 24px;"><span class="ne-text">----- 基础准备 -----</span></p><ol class="ne-ol" style="padding-left: 23px;"><li id="u3a840587" data-lake-index-type="0"><span class="ne-text">类库导入：</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="ubb524246" data-lake-index-type="0"><span class="ne-text">导入Android图形类（Bitmap）、文件操作类</span></li><li id="uc4d65b6e" data-lake-index-type="0"><span class="ne-text">导入OpenCV核心库和图像处理类</span></li><li id="ud867e4bb" data-lake-index-type="0"><span class="ne-text">使用屏幕截图需要Auto.js的screen对象</span></li></ul></ul><ol start="2" class="ne-ol" style="padding-left: 23px;"><li id="u19e4c1d6" data-lake-index-type="0"><span class="ne-text">全屏截图：</span></li></ol><pre data-language="javascript" id="SOhCh" class="ne-codeblock language-javascript" style="border: 1px solid #e8e8e8; border-radius: 2px; background: #f9f9f9; padding: 16px; font-size: 13px; color: #595959"><code>var img = screen.screenShotFull(); // 获取全屏截图img.save(originalPath); // 保存原始图片</code></pre><p id="u97cccebe" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="color: white; background-color: rgb(39, 40, 34); font-size: 13px"></span></p><p id="u26b26b1e" class="ne-p" style="min-height: 24px;"><span class="ne-text">----- 核心方法 -----</span></p><ol class="ne-ol" style="padding-left: 23px;"><li id="ua5dd340b" data-lake-index-type="0"><span class="ne-text">分辨率压缩方法（resizeCompress）：</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="u8c97d323" data-lake-index-type="0"><span class="ne-text">按比例缩小尺寸：保持宽高比计算目标高度</span></li><li id="u4058c342" data-lake-index-type="0"><span class="ne-text">使用OpenCV的INTER_AREA算法（适合缩小图像的插值算法）</span></li><li id="u99128dcc" data-lake-index-type="0"><span class="ne-text">转换Bitmap时使用RGB_565配置（比默认ARGB_8888节省50%内存）</span></li><li id="ufbb2e8eb" data-lake-index-type="0"><span class="ne-text">保存质量为85的JPEG文件</span></li></ul></ul><ol start="2" class="ne-ol" style="padding-left: 23px;"><li id="u91a4461d" data-lake-index-type="0"><span class="ne-text">质量压缩方法（qualityCompress）：</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="uebb13d5d" data-lake-index-type="0"><span class="ne-text">直接调整JPEG压缩质量（0-100范围，值越小压缩比越高）</span></li><li id="ucbee2cdc" data-lake-index-type="0"><span class="ne-text">不改变图片尺寸，仅降低文件质量</span></li></ul></ul><p id="u5a47757d" class="ne-p" style="min-height: 24px;"><span class="ne-text">----- 执行流程 -----</span></p><ol class="ne-ol" style="padding-left: 23px;"><li id="ua7f2ee1c" data-lake-index-type="0"><span class="ne-text">原始截图保存</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="u9901d552" data-lake-index-type="0"><span class="ne-text">存储路径：/sdcard/original.jpg</span></li><li id="u4c71d2bd" data-lake-index-type="0"><span class="ne-text">输出原始分辨率（如1080x2340）和文件大小（如800KB）</span></li></ul></ul><ol start="2" class="ne-ol" style="padding-left: 23px;"><li id="u5451ae5b" data-lake-index-type="0"><span class="ne-text">执行两种压缩：</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="u6491e39b" data-lake-index-type="0"><span class="ne-text">分辨率压缩到640px宽度（生成/sdcard/resized_640.jpg）</span></li><li id="u7940904c" data-lake-index-type="0"><span class="ne-text">质量压缩到70%（生成/sdcard/quality_70.jpg）</span></li></ul></ul><ol start="3" class="ne-ol" style="padding-left: 23px;"><li id="u28c3dab0" data-lake-index-type="0"><span class="ne-text">压缩结果输出：</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="u5c3393af" data-lake-index-type="0"><span class="ne-text">显示压缩后尺寸（注意此处代码存在计算错误，实际高度应为640*原图高宽比）</span></li><li id="u1ad27e2f" data-lake-index-type="0"><span class="ne-text">显示压缩后文件大小（单位KB）</span></li></ul></ul><p id="uf002f696" class="ne-p" style="min-height: 24px;"><span class="ne-text">----- 优化细节 -----</span></p><ol class="ne-ol" style="padding-left: 23px;"><li id="u09cac46c" data-lake-index-type="0"><span class="ne-text">资源管理：</span></li></ol><pre data-language="javascript" id="bM389" class="ne-codeblock language-javascript" style="border: 1px solid #e8e8e8; border-radius: 2px; background: #f9f9f9; padding: 16px; font-size: 13px; color: #595959"><code>srcMat.release(); // 释放OpenCV矩阵内存
resultBitmap.recycle(); // 回收Bitmap资源</code></pre><p id="u54d3f2b5" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="color: white; background-color: rgb(39, 40, 34); font-size: 13px"></span></p><ol start="2" class="ne-ol" style="padding-left: 23px;"><li id="u4b22bc9f" data-lake-index-type="0"><span class="ne-text">错误处理：</span></li></ol><ul class="ne-list-wrap" style="padding-left: 23px; list-style: none;"><ul ne-level="1" class="ne-ul" style="padding-left: 23px; list-style-position: initial; list-style-image: initial;"><li id="u2c16eb02" data-lake-index-type="0"><span class="ne-text">使用try-catch捕获异常</span></li><li id="u45e0cd0e" data-lake-index-type="0"><span class="ne-text">截图失败时自动退出脚本</span></li></ul></ul><p id="u4c0c8c53" class="ne-p" style="min-height: 24px;"><span class="ne-text">----- 潜在问题 -----</span></p><ol class="ne-ol" style="padding-left: 23px;"><li id="uc273bc17" data-lake-index-type="0"><span class="ne-text">尺寸计算误差： 当前代码中</span><code class="ne-code" style="font-family: SFMono-Regular, Consolas, "Liberation Mono", Menlo, Courier, monospace; background-color: rgba(0, 0, 0, 0.06); border: 1px solid rgba(0, 0, 0, 0.08); border-radius: 2px; padding-right: 2px; padding-left: 2px;"><span class="ne-text">img.getWidth()*(640/img.getWidth())</span></code><span class="ne-text">实际等于640，高度计算未正确实现，应改为：</span></li></ol><pre data-language="javascript" id="Dlalk" class="ne-codeblock language-javascript" style="border: 1px solid #e8e8e8; border-radius: 2px; background: #f9f9f9; padding: 16px; font-size: 13px; color: #595959"><code>"压缩后尺寸：" + targetWidth + "x" + targetHeight</code></pre><p id="uf61f1e13" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="color: white; background-color: rgb(39, 40, 34); font-size: 13px"></span></p><ol start="2" class="ne-ol" style="padding-left: 23px;"><li id="u0b277a3d" data-lake-index-type="0"><span class="ne-text">OpenCV初始化： 实际使用中可能需要先初始化OpenCV库：</span></li></ol><pre data-language="javascript" id="OCqC6" class="ne-codeblock language-javascript" style="border: 1px solid #e8e8e8; border-radius: 2px; background: #f9f9f9; padding: 16px; font-size: 13px; color: #595959"><code>if (!org.opencv.android.OpenCVLoader.initDebug()) {
printl("OpenCV初始化失败");
}</code></pre><p id="uf1a6457c" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="color: white; background-color: rgb(39, 40, 34); font-size: 13px"></span></p><ol start="3" class="ne-ol" style="padding-left: 23px;"><li id="u594c5cd7" data-lake-index-type="0"><span class="ne-text">路径兼容性： 硬编码路径（/sdcard/）可能不适用于新版本Android，建议改用环境变量：</span></li></ol><pre data-language="javascript" id="vJVq1" class="ne-codeblock language-javascript" style="border: 1px solid #e8e8e8; border-radius: 2px; background: #f9f9f9; padding: 16px; font-size: 13px; color: #595959"><code>var externalDir = context.getExternalFilesDir(null).getAbsolutePath();</code></pre><p id="ue07155aa" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="color: white; background-color: rgb(39, 40, 34); font-size: 13px"></span></p><p id="u533b3686" class="ne-p" style="min-height: 24px;"><span class="ne-text">这个脚本适用于需要自动化处理手机截图的场景（如APP测试截图上传），通过两种压缩方式的组合使用，可以在清晰度和文件大小之间取得平衡。</span></p><p id="uef8e733e" class="ne-p" style="min-height: 24px;"><span class="ne-text"> </span><span class="ne-text" style="font-size: 32px">另外：</span></p><p id="uef8e733e" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 32px"><br></span></p><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 32px">有的要取手机点击或是拖动验证码的，就特别简单了，用软件的剪切图片功能。</span><span class="ne-text" style="font-size: 24px">有的客户想实现把截的图片分辨率是 720*345，变成378*314，实际就是裁剪验证码图片的意思。</span></p><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 24px"></span></p><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 24px"><ne-clipboard data="%7B%22type%22%3A%22fragment%22%2C%22name%22%3A%22%23fragment%22%2C%22children%22%3A%5B%7B%22type%22%3A%22element%22%2C%22id%22%3A%22u2420188a%22%2C%22name%22%3A%22p%22%2C%22attrs%22%3A%7B%7D%2C%22children%22%3A%5B%7B%22type%22%3A%22text%22%2C%22id%22%3A%22uac7db960%22%2C%22name%22%3A%22%23text%22%2C%22attrs%22%3A%7B%7D%2C%22data%22%3A%22%E5%85%A8%E5%B1%8F%E6%88%AA%E5%9B%BE%EF%BC%8C%E7%84%B6%E5%90%8E%E6%8A%8A%E9%AA%8C%E8%AF%81%E7%A0%81%E8%A3%81%E5%89%AA%E6%88%AA%E5%9B%BE%E5%87%BA%E6%9D%A5%22%7D%5D%7D%5D%2C%22attrs%22%3A%7B%7D%7D" source="https%3A%2F%2Fwww.yuque.com%2Faiwork%2Fnba2pr%2Fyodz2gge7xgan6fl"></ne-clipboard></span></p><div class="lake-content" typography="classic"><p id="u2420188a" class="ne-p" style="min-height: 24px;"><span class="ne-text">全屏截图，然后把验证码裁剪截图出来</span></p></div><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 24px"><br></span></p><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 24px"></span></p><div class="blockcode"><blockquote>var img = screen.screenShotFull();<br><br>var url = img.cutImagePercent(0, 0.2, 1, 0.62);<br>printl(url);</blockquote></div><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 24px"><br></span></p><p id="u677fb456" class="ne-p" style="min-height: 24px;"><span class="ne-text" style="font-size: 24px"><br></span></p></div><p></p>
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