百度翻译实验

 

package api;

import javax.imageio.ImageIO;

import java.awt.image.BufferedImage;

import java.io.*;

import java.net.HttpURLConnection;

import java.net.URL;

import java.net.URLEncoder;

import java.nio.file.Files;

import java.nio.file.Paths;

import java.util.Base64;

public class BaiduImageProcess {

    private static final String ACCESS_TOKEN = "24.7416ce38f0a79d20e68a0338d5ebc8de.2592000.1734505386.282335-116286313";

    /**

     * 人像动漫化处理

     * @param imagePath 本地图片文件路径

     * @return 动漫化后的图片Base64编码字符串

     */

    public static String animefyImage(String imagePath) {

        try {

            byte[] imageBytes = Files.readAllBytes(Paths.get(imagePath));

            String imageBase64 = Base64.getEncoder().encodeToString(imageBytes);

            String encodedImage = URLEncoder.encode(imageBase64, "UTF-8");

            String requestUrl = "https://aip.baidubce.com/rest/2.0/image-process/v1/selfie_anime?access_token=" + ACCESS_TOKEN;

            String params = "image=" + encodedImage;

            HttpURLConnection conn = (HttpURLConnection) new URL(requestUrl).openConnection();

            conn.setRequestMethod("POST");

            conn.setRequestProperty("Content-Type", "application/x-www-form-urlencoded");

            conn.setDoOutput(true);

            try (OutputStream os = conn.getOutputStream()) {

                byte[] input = params.getBytes("utf-8");

                os.write(input, 0, input.length);

            }

            try (BufferedReader br = new BufferedReader(

                    new InputStreamReader(conn.getInputStream(), "UTF-8"))) {

                StringBuilder response = new StringBuilder();

                String responseLine;

                while ((responseLine = br.readLine()) != null) {

                    response.append(responseLine.trim());

                }

                return response.toString();

            }

        } catch (Exception e) {

            e.printStackTrace();

        }

        return null;

    }

    /**

     * 提高图片清晰度

     *

     * @param imagePath 本地图片文件路径

     * @return 清晰度提高后的图片Base64编码字符串

     */

    public static String enhanceImageDefinition(String imagePath) {

        try {

            byte[] imageBytes = Files.readAllBytes(Paths.get(imagePath));

            String imageBase64 = Base64.getEncoder().encodeToString(imageBytes);

            String encodedImage = URLEncoder.encode(imageBase64, "UTF-8");

            String requestUrl = "https://aip.baidubce.com/rest/2.0/image-process/v1/image_definition_enhance?access_token=" + ACCESS_TOKEN;

            String params = "image=" + encodedImage;

            HttpURLConnection conn = (HttpURLConnection) new URL(requestUrl).openConnection();

            conn.setRequestMethod("POST");

            conn.setRequestProperty("Content-Type", "application/x-www-form-urlencoded");

            conn.setDoOutput(true);

            try (OutputStream os = conn.getOutputStream()) {

                byte[] input = params.getBytes("utf-8");

                os.write(input, 0, input.length);

            }

            try (BufferedReader br = new BufferedReader(

                    new InputStreamReader(conn.getInputStream(), "UTF-8"))) {

                StringBuilder response = new StringBuilder();

                String responseLine;

                while ((responseLine = br.readLine()) != null) {

                    response.append(responseLine.trim());

                }

                return response.toString();

            }

        } catch (Exception e) {

            e.printStackTrace();

        }

        return null;

    }

    public static BufferedImage base64ToImage(String base64Image) throws IOException {

        byte[] imageBytes = Base64.getDecoder().decode(base64Image);

        ByteArrayInputStream bis = new ByteArrayInputStream(imageBytes);

        return ImageIO.read(bis);

    }

}

package GUI;

import api.BaiduImageProcess;

import org.json.JSONObject;

import javax.swing.*;

import java.awt.*;

import java.awt.image.BufferedImage;

import java.io.File;

public class ImageProcessorGUI extends JFrame {

    private JButton btnChooseImage;

    private JComboBox<String> cmbActions;

    private JLabel lblOriginalImage;

    private JLabel lblProcessedImage;

    private ImageIcon originalImageIcon;

    public ImageProcessorGUI() {

        // 窗口标题和大小

        setTitle("智能图片处理工具");

        setSize(900, 650);

        setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);

        setLocationRelativeTo(null);

        setLayout(new BorderLayout(10, 10));

        // 主色调配置

        Color primaryColor = new Color(0xA194CC); // 蓝色

        Color secondaryColor = new Color(0xE5E1FA); // 浅蓝背景

        Color buttonColor = new Color(0xE8CC5B); // 金黄色

        // 顶部面板（上传按钮和功能选择）

        JPanel topPanel = new JPanel(new FlowLayout(FlowLayout.CENTER, 20, 10));

        topPanel.setBackground(secondaryColor);

        JLabel title = new JLabel("智能图片处理工具");

        title.setFont(new Font("微软雅黑", Font.BOLD, 20));

        title.setForeground(primaryColor);

        btnChooseImage = new JButton("上传图片");

        btnChooseImage.setPreferredSize(new Dimension(120, 40));

        btnChooseImage.setFont(new Font("微软雅黑", Font.PLAIN, 16));

        btnChooseImage.setBackground(buttonColor);

        btnChooseImage.setForeground(Color.BLACK);

        cmbActions = new JComboBox<>(new String[]{"图像特效", "图片增强"});

        cmbActions.setPreferredSize(new Dimension(150, 30));

        cmbActions.setFont(new Font("微软雅黑", Font.PLAIN, 16));

        cmbActions.setBackground(Color.WHITE);

        topPanel.add(title);

        topPanel.add(btnChooseImage);

        topPanel.add(cmbActions);

        add(topPanel, BorderLayout.NORTH);

        // 图片展示区域

        JPanel imagePanel = new JPanel(new GridLayout(1, 2, 20, 10));

        imagePanel.setBackground(Color.WHITE);

        lblOriginalImage = createImageLabel("上传的图片", primaryColor);

        lblProcessedImage = createImageLabel("处理后的图片", primaryColor);

        imagePanel.add(lblOriginalImage);

        imagePanel.add(lblProcessedImage);

        add(imagePanel, BorderLayout.CENTER);

        // 事件绑定

        btnChooseImage.addActionListener(e -> {

            JFileChooser fileChooser = new JFileChooser();

            int option = fileChooser.showOpenDialog(null);

            if (option == JFileChooser.APPROVE_OPTION) {

                File selectedFile = fileChooser.getSelectedFile();

                originalImageIcon = new ImageIcon(selectedFile.getAbsolutePath());

                lblOriginalImage.setIcon(new ImageIcon(originalImageIcon.getImage().getScaledInstance(400, 500, Image.SCALE_SMOOTH)));

                lblOriginalImage.setText(null);

                processImage(selectedFile.getAbsolutePath());

            }

        });

    }

    /**

     * 创建图片显示标签

     */

    private JLabel createImageLabel(String text, Color borderColor) {

        JLabel label = new JLabel(text, SwingConstants.CENTER);

        label.setPreferredSize(new Dimension(400, 500));

        label.setBorder(BorderFactory.createLineBorder(borderColor, 3));

        label.setFont(new Font("微软雅黑", Font.BOLD, 16));

        label.setBackground(Color.WHITE);

        label.setOpaque(true);

        return label;

    }

    /**

     * 处理图片

     */

    private void processImage(String imagePath) {

        String action = (String) cmbActions.getSelectedItem();

        try {

            String response;

            if ("图像特效".equals(action)) {

                response = BaiduImageProcess.animefyImage(imagePath);

            } else if ("图片增强".equals(action)) {

                response = BaiduImageProcess.enhanceImageDefinition(imagePath);

            } else {

                return;

            }

            if (response != null) {

                JSONObject jsonResponse = new JSONObject(response);

                String base64Image = jsonResponse.getString("image");

                BufferedImage processedImage = BaiduImageProcess.base64ToImage(base64Image);

                lblProcessedImage.setIcon(new ImageIcon(processedImage.getScaledInstance(400, 500, Image.SCALE_SMOOTH)));

                lblProcessedImage.setText(null);

            } else {

                JOptionPane.showMessageDialog(this, "处理失败");

            }

        } catch (Exception ex) {

            JOptionPane.showMessageDialog(this, "处理失败: " + ex.getMessage());

        }

    }

    public static void main(String[] args) {

        SwingUtilities.invokeLater(() -> new ImageProcessorGUI().setVisible(true));

    }

}