效果展示
图片合成效果,不再演示，主要演示视频合成效果，因为是视频合成的原理就是先将每一张帧图合成图片，再用合成的图片制作成视频。
视频左右翻转合成效果
javacv实现视频翻转，合成
四宫格视频
更多视频展示链接
https://live.csdn.net/v/164980
注：原视频都来自于抖音。
添加jar依赖
Java spring boot项目或者maven项目的pom文件中添加以下依赖
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<!-- https://mvnrepository.com/artifact/org.bytedeco/javacv-platform -->
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<dependency>
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<groupId>org.bytedeco
</groupId>
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<artifactId>javacv-platform
</artifactId>
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<version>1.5.5
</version>
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</dependency>
代码展示
核心代码，单类实现，idea创建VideoSynthesis 类，复制粘贴下面代码，右键点击run运行主方法即可。
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import org.bytedeco.javacv.FFmpegFrameGrabber;
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import org.bytedeco.javacv.FFmpegFrameRecorder;
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import org.bytedeco.javacv.Frame;
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import org.bytedeco.javacv.Java2DFrameConverter;
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import javax.imageio.ImageIO;
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import java.awt.image.BufferedImage;
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import java.io.File;
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import java.io.IOException;
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public
class VideoSynthesis {
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-
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final
static String videoFolderPath =
"C:/Users/tarzan/Desktop/video/";
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final
static String videoName =
"video.mp4";
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final
static String imageFolderPath =
"C:/Users/tarzan/Desktop/image/";
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final
static String imageName1 =
"logo.jpg";
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final
static String imageName2 =
"newlogo.jpg";
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public static void main(String[] args) throws Exception {
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-
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// mergeImage(imageFolderPath + imageName1, imageFolderPath + imageName2);
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mergeVideo(videoFolderPath + videoName);
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}
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//视频处理
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public static void mergeVideo(String filePath) {
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//抓取视频图像资源
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FFmpegFrameGrabber videoGrabber =
new FFmpegFrameGrabber(filePath);
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//抓取视频图像资源
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FFmpegFrameGrabber audioGrabber =
new FFmpegFrameGrabber(filePath);
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try {
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videoGrabber.start();
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audioGrabber.start();
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//imageWidth和imageHeight根据需要合成的大小进行计算，比如左右2宫格宽度需要乘以2，四宫格宽、高都要乘以2，依次类推
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FFmpegFrameRecorder recorder =
new FFmpegFrameRecorder(videoFolderPath +
"合成" + videoName, videoGrabber.getImageWidth()*
2, videoGrabber.getImageHeight(), videoGrabber.getAudioChannels());
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recorder.start();
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//处理图像
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int videoSize = videoGrabber.getLengthInVideoFrames();
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for (
int i =
0; i < videoSize; i++) {
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Frame videoFrame = videoGrabber.grabImage();
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if (videoFrame !=
null && videoFrame.image !=
null) {
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System.out.println(
"视频共" + videoSize +
"帧，正处理第" + (i +
1) +
"帧图片");
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Java2DFrameConverter converter =
new Java2DFrameConverter();
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//获得原图帧
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BufferedImage bi = converter.getBufferedImage(videoFrame);
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//获得翻转图帧
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BufferedImage bi2= imageFlipLR(bi);
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//获得左右合成图帧
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BufferedImage bufImg=mergeImageLR(bi,bi2);
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// bufImg= mergeImageCenter(bufImg,bi);
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recorder.record(converter.convert(bufImg));
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}
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}
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//处理音频
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int audioSize = audioGrabber.getLengthInAudioFrames();
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for (
int i =
0; i < audioSize; i++) {
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Frame audioFrame = audioGrabber.grabSamples();
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if (audioFrame !=
null && audioFrame.samples !=
null) {
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recorder.recordSamples(audioFrame.sampleRate, audioFrame.audioChannels, audioFrame.samples);
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}
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}
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recorder.stop();
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recorder.release();
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videoGrabber.stop();
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audioGrabber.stop();
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}
catch (Exception e) {
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e.printStackTrace();
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}
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}
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//合拼图片
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public static void mergeImage(String imgPath1, String imgPath2) {
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try {
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BufferedImage bi_1 = ImageIO.read(
new File(imgPath1));
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BufferedImage bi_2 = ImageIO.read(
new File(imgPath2));
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BufferedImage mergeImage = mergeImageLR(bi_1, bi_2);
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ImageIO.write(mergeImage,
"png",
new File(imageFolderPath + imageName1 +
"merge" + imageName2));
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}
catch (IOException e) {
-
e.printStackTrace();
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}
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}
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//小图放到大图中间位置
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public static BufferedImage mergeImageCenter(BufferedImage big, BufferedImage small) {
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//new 一个新的图像
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int w = small.getWidth();
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int h = small.getHeight();
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int wd = small.getWidth()/
2;
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int hd = small.getHeight()/
2;
-
//像素一个一个复制过来
-
for (
int y =
0; y < h; y++) {
-
for (
int x =
0; x < w; x++) {
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big.setRGB(x+wd, y+hd, small.getRGB(x, y));
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}
-
}
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return big;
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}
-
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//左右翻转
-
public static BufferedImage imageFlipLR(BufferedImage bi) {
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int h = bi.getHeight();
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int w = bi.getWidth();
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BufferedImage image =
new BufferedImage(w, h, bi.getType());
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//像素一个一个复制过来
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for (
int y =
0; y < h; y++) {
-
for (
int x =
0; x < w; x++) {
-
image.setRGB(x, y, bi.getRGB(w-x-
1, y));
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}
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}
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return image;
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}
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//左右合并
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public static BufferedImage mergeImageLR(BufferedImage bi_1, BufferedImage bi_2) {
-
//new 一个新的图像
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int w1 = bi_1.getWidth();
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int w2 = bi_2.getWidth();
-
int h = bi_1.getHeight();
-
int w = w1 + w2;
-
BufferedImage bi =
new BufferedImage(w, h, bi_1.getType());
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//像素一个一个复制过来
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for (
int y =
0; y < h; y++) {
-
for (
int x =
0; x < w1; x++) {
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bi.setRGB(x, y, bi_1.getRGB(x, y));
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}
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for (
int x =
0; x < w2; x++) {
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bi.setRGB(w1 + x, y, bi_2.getRGB(x, y));
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}
-
}
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return bi;
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}
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//上下合并
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public static BufferedImage mergeImageUD(BufferedImage bi_1, BufferedImage bi_2) {
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//new 一个新的图像
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int h1 = bi_1.getHeight();
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int h2 = bi_2.getHeight();
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int h = h1+h2;
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int w = bi_1.getWidth();
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BufferedImage bi =
new BufferedImage(w, h, bi_1.getType());
-
//像素一个一个复制过来
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for (
int x =
0; x < w; x++) {
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for (
int y =
0; y < h1; y++) {
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bi.setRGB(x, y, bi_1.getRGB(x, y));
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}
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for (
int y =
0; y< h2; y++) {
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bi.setRGB(x, h1+y, bi_2.getRGB(x, y));
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}
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}
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return bi;
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}
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-
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}
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由于视频中的每一帧需要合成处理，过程可能辉有点慢，像文章中的视频，原视频3.93MB,经过翻转处理、左右合成处理的方法，处理时间月20s左右。
控制台运行输出日志
代码里还写了上下合成、小图放在大图的中心位置等方法，方便你处理各种需求。
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转载：https://blog.csdn.net/weixin_40986713/article/details/117330543
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