4242
4343/*
4444 * 基于虹软Arcface实现的人脸识别通用模板对象
45- * @author [@Loong Wan]( https://github.com/loong10k)
45+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
4646 */
4747public class ArcFaceRecognitionTemplate {
4848
@@ -87,7 +87,7 @@ protected int setLivenessParam(FaceEngine faceEngine, FaceLiveness liveness, JSO
8787 * RGB活体、年龄、性别、三维角度检测
8888 *
8989 * @param imageBytes 输入的图像数据
90- * @author [@Loong Wan]( https://github.com/loong10k)
90+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
9191 * @return
9292 */
9393 public JSONObject detect (byte [] imageBytes ) {
@@ -98,7 +98,7 @@ public JSONObject detect(byte[] imageBytes) {
9898 * RGB活体、年龄、性别、三维角度检测
9999 *
100100 * @param imageBytes 输入的图像数据
101- * @author [@Loong Wan]( https://github.com/loong10k)
101+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
102102 * @return
103103 */
104104 public JSONObject detect (byte [] imageBytes , FaceLiveness liveness ) {
@@ -109,7 +109,7 @@ public JSONObject detect(byte[] imageBytes, FaceLiveness liveness) {
109109 * RGB活体、年龄、性别、三维角度检测
110110 *
111111 * @param imageBytes 输入的图像数据
112- * @author [@Loong Wan]( https://github.com/loong10k)
112+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
113113 * @return
114114 */
115115 public JSONObject detect (ImageInfo imageInfo ) {
@@ -120,7 +120,7 @@ public JSONObject detect(ImageInfo imageInfo) {
120120 * RGB活体、年龄、性别、三维角度检测
121121 *
122122 * @param imageInfo 输入的图像信息
123- * @author [@Loong Wan]( https://github.com/loong10k)
123+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
124124 * @return
125125 */
126126 public JSONObject detect (ImageInfo imageInfo , FaceLiveness liveness ) {
@@ -263,7 +263,7 @@ public JSONObject detect(ImageInfo imageInfo, FaceLiveness liveness) {
263263 * IR活体、年龄、性别、三维角度检测
264264 *
265265 * @param imageBytes 输入的图像数据
266- * @author [@Loong Wan]( https://github.com/loong10k)
266+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
267267 * @return
268268 */
269269 public JSONObject irDetect (byte [] imageBytes , FaceLiveness liveness ) {
@@ -274,7 +274,7 @@ public JSONObject irDetect(byte[] imageBytes, FaceLiveness liveness) {
274274 * IR活体、年龄、性别、三维角度检测
275275 *
276276 * @param imageInfo 输入的图像信息
277- * @author [@Loong Wan]( https://github.com/loong10k)
277+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
278278 * @return
279279 */
280280 public JSONObject irDetect (ImageInfo imageInfo , FaceLiveness liveness ) {
@@ -800,7 +800,7 @@ public JSONObject irVerify(byte[] imageBytes, FaceLiveness liveness) {
800800 /*
801801 * IR活体检测
802802 *
803- * @author [@Loong Wan]( https://github.com/loong10k)
803+ * @author <a href=" https://github.com/loong10k">Loong Wan</a>
804804 * @param imageInfo 图片信息(总数据大小应小于10M),图片上传方式根据image_type来判断
805805 * @param option 场景信息,程序会视不同的场景选用相对应的模型。当前支持的场景有COMMON(通用场景),GATE(闸机场景),默认使用COMMON
806806 * @return
0 commit comments