基于 javacv 的人脸识别和图片内容审核方案

/** * 人脸检测 */@Slf4j@Configurationpublic class FaceDetectUtil {
    //放在resource下面不生效    private static CascadeClassifier faceCascade = new CascadeClassifier("/haarcascade_frontalface_default.xml");
    /**     * 检查是否有人脸     * @param imgUrl     * @return     */    public boolean checkFace(String imgUrl){        try {            URL url = new URL(imgUrl);            HttpURLConnection conn = (HttpURLConnection) url.openConnection();            conn.setRequestMethod("GET");            conn.setDoOutput(true);            conn.connect();
            InputStream is = conn.getInputStream();            byte[] data = new byte[is.available()];            is.read(data);
            // Read the image into a Mat using OpenCV            Mat image = opencv_imgcodecs.imdecode(new Mat(data), Imgcodecs.IMREAD_UNCHANGED);            Mat grayImage = new Mat();            opencv_imgproc.cvtColor(image, grayImage, opencv_imgproc.COLOR_BGR2GRAY);
            // 进行人脸检测            RectVector faces = new RectVector();            faceCascade.detectMultiScale(grayImage, faces);
            // 判断是否检测到人脸            if (faces.size() > 0) {                return true;            } else {                return false;            }        } catch (Exception e) {            log.error("error", e);        }        return true;    }
    /**     * 是否来源于网络图片     * @param imagePath     * @return     */    public static boolean isInternetImage(String imagePath) {        try {            // 使用Apache Tika解析图像文件的元数据            URL url = new URL(imagePath);            HttpURLConnection conn = (HttpURLConnection) url.openConnection();            conn.setRequestMethod("GET");            conn.setDoOutput(true);            conn.connect();            InputStream inputStream = conn.getInputStream();
            Parser parser = new AutoDetectParser();            ContentHandler textHandler = new ToTextContentHandler();            Metadata metadata = new Metadata();
            parser.parse(inputStream, textHandler, metadata, new ParseContext());
            // 检查元数据中是否包含关于图像来源的信息            String sourceInformation = metadata.get("Image Source");            if (sourceInformation != null && sourceInformation.toLowerCase().contains("internet")) {                return true;            }
            inputStream.close();        } catch (Exception e) {            log.error("error", e);        }
        return false;    }}