TAIP是调用腾讯AI接口封装的Java客户端，为调用腾讯AI功能的开发人员提供了一系列的交互方法

package cn.xsshome.taip.face; import java.util.ArrayList; import java.util.List; import cn.xsshome.taip.base.BaseClient; import cn.xsshome.taip.http.TAipEBodyFormat; import cn.xsshome.taip.http.TAipRequest; import cn.xsshome.taip.sign.TencentAISignSort; import cn.xsshome.taip.util.Base64Util; import cn.xsshome.taip.util.FileUtil; import cn.xsshome.taip.util.RandomNonceStrUtil; /** * 计算机视觉人脸识别模块 * @author 小帅丶 * @version 4.1.0 */ public class TAipFace extends BaseClient{ public TAipFace(String app_id, String app_key) { super(app_id, app_key); } /** * 人脸检测与分析 * 识别上传图像上面的人脸信息 * @param image - 二进制图像数据 * @return String * @throws Exception */ public String detect(byte[] image) throws Exception{ TAipRequest request = new TAipRequest(); String result =""; String time_stamp = System.currentTimeMillis()/1000+""; request.addBody("app_id", app_id); request.addBody("time_stamp", time_stamp); request.addBody("nonce_str", RandomNonceStrUtil.getRandomString()); String base64Content = Base64Util.encode(image); request.addBody("image", base64Content); request.addBody("mode", "1"); String sign = TencentAISignSort.getSignature(request.getBody(),app_key); request.addBody("sign",sign); request.setUri(FaceConsts.FACE_DETECT); request.setBodyFormat(TAipEBodyFormat.FORM_KV); result = requestServer(request); return result; } /** * 人脸检测与分析 * 识别上传图像上面的人脸信息 * 暂时不可以使用 * @param url - 图像网络地址 * @return String * @throws Exception */ @Deprecated public String detectByUrl(String url) throws Exception{ TAipRequest request = new TAipRequest(); String result =""; String time_stamp = System.currentTimeMillis()/1000+""; request.addBody("app_id", app_id); request.addBody("time_stamp", time_stamp); request.addBody("nonce_str", RandomNonceStrUtil.getRandomString()); request.addBody("image_url", url); request.addBody("mode", "1"); String sign = TencentAISignSort.getSignature(request.getBody(),app_key); request.addBody("sign",sign); request.setUri(FaceConsts.FACE_DETECT); request.setBodyFormat(TAipEBodyFormat.FORM_KV); result = requestServer(request); return result; } /** * 人脸检测与分析 * 识别上传图像上面的人脸信息 * @param filePath - 本地路径图像文件 * @return String * @throws Exception */ public String detect(String filePath) throws Exception{ byte[] image = FileUtil.readFileByBytes(filePath); return detect(image); } /** * 多人脸检测 * 识别上传图像上面的人脸位置，支持多人脸识别。 * @param image - 二进制图像数据 * @return String * @throws Exception */ public String detectMulti(byte[] image) throws Exception{ TAipRequest request = new TAipRequest(); String result =""; String time_stamp = System.currentTimeMillis()/1000+""; request.addBody("app_id", app_id); request.addBody("time_stamp", time_stamp); request.addBody("nonce_str", RandomNonceStrUtil.getRandomString()); String base64Content = Base64Util.encode(image); request.addBody("image", base64Content); String sign = TencentAISignSort.getSignature(request.getBody(),app_key); request.addBody("sign",sign); request.setUri(FaceConsts.FACE_DETECTMULTI); request.setBodyFormat(TAipEBodyFormat.FORM_KV); result = requestServer(request); return result; } /** * 多人脸检测 * 识别上传图像上面的人脸位置，支持多人脸识别。 * @param filePath - 本地路径图像文件 * @return String * @throws Exception */ public String detectMulti(String filePath) throws Exception{ byte[] image = FileUtil.readFileByBytes(filePath); return detectMulti(image); } /** * 人脸对比 * 对请求图片进行人脸对比 * @param image_a - 二进制图像数据A * @param image_b - 二进制图像数据B * @return String * @throws Exception */ public String faceCompare(byte[] image_a,byte[] image_b) throws Exception{ String result =""; TAipRequest request = new TAipRequest(); String time_stamp = System.currentTimeMillis()/1000+""; request.addBody("app_id", app_id); request.addBody("time_stamp", time_stamp); request.addBody("nonce_str", RandomNonceStrUtil.getRandomString()); String base64ContentA = Base64Util.encode(image_a); String base64ContentB = Base64Util.encode(image_b); request.addBody("image_a", base64ContentA); request.addBody("image_b", base64ContentB); String sign = TencentAISignSort.getSignature(request.getBody(),app_key); request.addBody("sign",sign); request.setUri(FaceConsts.FACE_COMPARE); request.setBodyFormat(TAipEBodyFormat.FORM_KV); result = requestServer(request); return result; } /** * 人脸对比 * 对请求图片进行人脸对比 * @param filePathA - 本地路径图像文件A * @param filePathB - 本地路径图像文件B * @return String * @throws Exception */ public String faceCompare(String filePathA,String filePathB) throws Exception{ byte[] imageA = FileUtil.readFileByBytes(filePathA); byte[] imageB = FileUtil.readFileByBytes(filePathB); return faceCompare(imageA,imageB); } /** * 跨年龄人脸识别 * 上传两张人脸照，返回最相似的两张人脸及相似度。 * @param source_image - 二进制待比较图片图像数据 * @param target_image - 二进制待比较图片图像数据 * @return String * @throws Exception */ public String detectCrossage(byte[] source_image,byte[] target_image) throws Exception{ String result =""; TAipRequest request = new TAipRequest(); String time_stamp = System.currentTimeMillis()/1000+""; request.addBody("app_id", app_id); request.addBody("time_stamp", time_stamp); request.addBody("nonce_str", RandomNonceStrUtil.getRandomString()); String base64ContentA = Base64Util.encode(source_image); String base64ContentB = Base64Util.encode(target_image); request.addBody("source_image", base64ContentA); request.addBody("target_image", base64ContentB); String sign = TencentAISignSort.getSignature(request.getBody(),app_key); request.addBody("sign",sign); request.setUri(FaceConsts.FACE_DETECTCROSSAGE); request.setBodyFormat(TAipEBodyFormat.FORM_KV); result = requestServer(request); return result; } /** * 跨年龄人脸识别 * 上传两张人脸照，返回最相似的两张人脸及相似度。 * @param source_imagefilePath - 本地路径待比较图片图像文件 * @param target_imagefilePath - 本地路径待比较图片图像文件 * @return String * @throws Exception */ public String detectCrossage(String source_imagefilePath,String target_imagefilePath) throws Exception{ byte[] imageA = FileUtil.readFileByBytes(source_imagefilePath); byte[] imageB = FileUtil.readFileByBytes(target_imagefilePath); return detectCrossage(imageA,imageB); } /** * 五官定位 * 对请求图片进行五官定位 * @param image - 二进制图像数据 * @return String * @throws Exception */ public String faceShape(byte[] image) throws Exception{ String result =""; 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