Delete egg-api.js

egg-api.js

@@ -1,128 +0,0 @@
-const express = require('express');
-const fs = require('fs');
-const path = require('path');
-const cv = require('opencv4nodejs');
-const Jimp = require('jimp');
-const axios = require('axios');
-const sharp = require('sharp');
-
-const app = express();
-const port = 7860; // 将端口改为 7860
-const outputDir = './output';
-
-// 确保输出目录存在
-if (!fs.existsSync(outputDir)) {
-    fs.mkdirSync(outputDir);
-}
-
-// 并行处理图片下载和处理
-function processImage(url, inputImagePath, outputImagePath, classifiersFolder, replacementImagePath, callback) {
-    axios.get(url, { responseType: 'arraybuffer' })
-        .then(response => {
-            return sharp(response.data).toFile(inputImagePath);
-        })
-        .then(() => {
-            return replaceFaces(inputImagePath, outputImagePath, classifiersFolder, replacementImagePath);
-        })
-        .then(() => {
-            console.log('Image processed successfully.');
-            callback(null);
-        })
-        .catch(error => {
-            console.error('Error processing image:', error);
-            callback(error);
-        });
-}
-
-// 加载所有分类器
-function loadClassifiersFromFolder(folderPath, callback) {
-    const classifiers = [];
-    fs.readdir(folderPath, (err, files) => {
-        if (err) {
-            callback(err);
-            return;
-        }
-        let completed = 0;
-        files.forEach(file => {
-            const filePath = path.join(folderPath, file);
-            const classifier = new cv.CascadeClassifier(filePath);
-            classifiers.push(classifier);
-            completed++;
-            if (completed === files.length) {
-                callback(null, classifiers);
-            }
-        });
-    });
-}
-
-// 人脸替换函数
-function replaceFaces(inputImagePath, outputImagePath, classifiersFolder, replacementImagePath, callback) {
-    cv.imreadAsync(inputImagePath, (err, img) => {
-        if (err) {
-            callback(err);
-            return;
-        }
-        loadClassifiersFromFolder(classifiersFolder, (err, classifiers) => {
-            if (err) {
-                callback(err);
-                return;
-            }
-            Jimp.read(replacementImagePath, (err, replacementFace) => {
-                if (err) {
-                    callback(err);
-                    return;
-                }
-                const grayImg = img.bgrToGray();
-                const allFaces = [];
-                classifiers.forEach(classifier => {
-                    const faces = classifier.detectMultiScale(grayImg).objects;
-                    allFaces.push(...faces);
-                });
-
-                allFaces.forEach(faceRect => {
-                    const resizedReplacementFace = replacementFace.resize(faceRect.width, faceRect.height);
-                    const faceRegion = img.getRegion(faceRect);
-                    const replacementBuffer = resizedReplacementFace.bitmap.data;
-                    for (let y = 0; y < faceRect.height; y++) {
-                        for (let x = 0; x < faceRect.width; x++) {
-                            const idx = (y * faceRect.width + x) << 2;
-                            const [r, g, b, a] = replacementBuffer.slice(idx, idx + 4);
-                            if (a > 0) {
-                                faceRegion.set(y, x, new cv.Vec3(b, g, r));
-                            }
-                        }
-                    }
-                });
-
-                cv.imwrite(outputImagePath, img);
-                callback(null);
-            });
-        });
-    });
-}
-
-// Express接口
-app.get('/process-image', (req, res) => {
-    const { imageUrl } = req.query;
-
-    if (!imageUrl) {
-        return res.status(400).send('Image URL is required');
-    }
-
-    const inputImagePath = path.join(outputDir, 'input.jpg'); // 使用jpg格式保存
-    const outputImagePath = path.join(outputDir, 'output.jpg');
-    const replacementImagePath = './replacement_face.png';
-    const classifiersFolder = './classifiers';
-
-    processImage(imageUrl, inputImagePath, outputImagePath, classifiersFolder, replacementImagePath, (err) => {
-        if (err) {
-            console.error('Error processing image:', err);
-            return res.status(500).send('Error processing image');
-        }
-        res.sendFile(outputImagePath, { root: '.' });
-    });
-});
-
-app.listen(port, () => {
-    console.log(`Server is running on http://localhost:${port}`);
-});