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在使用阿里云人数检测时#xff0c;为降低成本#xff0c;我们需要将两个图片合并成一张图片#xff0c;提交给阿里云图像识别#xff0c;但我发现识别时由于一些感染因素#xff0c;会有一定的错误率#xff0c;所以就需要将图片进行裁剪后再拼接。
具体操作逻辑…前言
在使用阿里云人数检测时为降低成本我们需要将两个图片合并成一张图片提交给阿里云图像识别但我发现识别时由于一些感染因素会有一定的错误率所以就需要将图片进行裁剪后再拼接。
具体操作逻辑
首先将图片裁剪将裁剪后的图片合并这里测试用的是原图裁剪后的图后续业务操作
代码如下
/*** 裁剪(多边形)** param inputFilePath 图片输入路径* param outFilePath 图片输出路径* param x x轴坐标点数组* param y y轴坐标点数组* param n 坐标点数量* throws IOException*/public static void cutPolygonImage(String inputFilePath, String outFilePath, int[] x, int[] y, int n) {FileInputStream fileInputStream null;FileOutputStream fileOutputStream null;try {fileInputStream new FileInputStream(inputFilePath);fileOutputStream new FileOutputStream(outFilePath);cutPolygonImage(fileInputStream, fileOutputStream, x, y, n);} catch (FileNotFoundException e) {throw new RuntimeException(e);} finally {if(fileInputStream ! null){try {fileInputStream.close();} catch (IOException e) {}}if(fileOutputStream ! null){try {fileOutputStream.close();} catch (IOException e) {}}}}/*** 裁剪(多边形)** param inputFilePath 图片输入路径* param outFilePath 图片输出路径* param x x轴坐标点数组* param y y轴坐标点数组* param n 坐标点数量* throws IOException*/public static void cutPolygonImage(InputStream inputFilePath, OutputStream outFilePath, int[] x, int[] y, int n) {try {BufferedImage image ImageIO.read(inputFilePath);GeneralPath clip new GeneralPath(GeneralPath.WIND_EVEN_ODD, n);clip.moveTo(x[0], y[0]);for (int i 1; i x.length; i) {clip.lineTo(x[i], y[i]);}clip.closePath();Rectangle bounds clip.getBounds();BufferedImage img new BufferedImage(bounds.width, bounds.height, BufferedImage.TYPE_INT_BGR);Graphics2D g2d img.createGraphics();g2d.translate(-bounds.getMinX(), -bounds.getMinY());g2d.setComposite(AlphaComposite.SrcOver);g2d.setClip(clip);g2d.drawImage(image, 0, 0, null);g2d.dispose();ImageIO.write(img, jpg, outFilePath);} catch (Exception e) {log.error(图片错误,e);}}/*** 图片合并* param image1 图片1* param image2 图片2* param outputStream 输出位置*/public static void splicingImage(BufferedImage image1, BufferedImage image2,OutputStream outputStream) {int width image1.getWidth() image2.getWidth();int height NumberUtil.max(image1.getHeight(), image2.getHeight());BufferedImage combinedImage new BufferedImage(width, height, BufferedImage.TYPE_INT_ARGB);Graphics2D g combinedImage.createGraphics();g.drawImage(image1, 0, 0, null);g.drawImage(image2, image1.getWidth(), 0, null);try {ImageIO.write(combinedImage, PNG, outputStream);} catch (IOException e) {throw new RuntimeException(e);}}public static void main(String[] args) {int[] x { 1491, 1491, 143,143};int[] y { 0, 1000, 1000,0};cutPolygonImage(D:\\logs\\wallhaven-rdmzg7.png, D:\\logs\\wallhaven-rdmzg8.png, x, y, 4);try {BufferedImage image1 ImageIO.read(new File(D:\\logs\\wallhaven-rdmzg7.png));BufferedImage image2 ImageIO.read(new File(D:\\logs\\wallhaven-rdmzg8.png));splicingImage(image1, image2,new FileOutputStream(D:\\logs\\wallhaven-rdmzg9.png));} catch (IOException e) {throw new RuntimeException(e);}}