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quyixiao
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@ -58,4 +58,7 @@ public class ARecognizeActionRequest {
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public List<ACommonTextRequest> imageUrlList;
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}
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@ -0,0 +1,8 @@
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package com.heyu.api.request;
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import lombok.Data;
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@Data
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public class BaseRequest {
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}
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@ -20,7 +20,6 @@ import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.ArrayList;
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import java.util.Collection;
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import java.util.List;
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@ -43,7 +42,7 @@ public class BodyPostureController extends BaseController {
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@RequestMapping("/mask")
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@CacheResult
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public R recognize(BodyPostureReq request) {
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public R mask(BodyPostureReq request) {
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List<BodyPostureResp> resp = new ArrayList<>();
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@ -0,0 +1,81 @@
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package com.heyu.api.controller.face;
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import com.aliyun.facebody20191230.models.RecognizeActionResponse;
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import com.aliyun.facebody20191230.models.RecognizeActionResponseBody;
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import com.heyu.api.alibaba.handle.facebody.ARecognizeActionHandle;
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import com.heyu.api.alibaba.request.ACommonTextRequest;
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import com.heyu.api.alibaba.request.facebody.ARecognizeActionRequest;
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import com.heyu.api.controller.BaseController;
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import com.heyu.api.data.annotation.NotIntercept;
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import com.heyu.api.data.utils.ApiR;
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import com.heyu.api.data.utils.R;
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import com.heyu.api.request.CommonReq;
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import com.heyu.api.request.face.RecognizeImageActionReq;
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import com.heyu.api.resp.face.RecognizeImageActionResp;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.collections.CollectionUtils;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.ArrayList;
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import java.util.List;
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/***
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* https://next.api.aliyun.com/api/facebody/2019-12-30/RecognizeAction?RegionId=cn-shanghai
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*
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*
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* 动作行为识别 RecognizeAction
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*
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*/
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@Slf4j
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@RestController
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@RequestMapping("/action/image")
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@NotIntercept
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public class RecognizeImageActionController extends BaseController {
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@Autowired
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private ARecognizeActionHandle aRecognizeActionHandle;
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@RequestMapping("/recognize")
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public R recognize(RecognizeImageActionReq req) {
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ARecognizeActionRequest actionRequest = new ARecognizeActionRequest();
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List<ACommonTextRequest> imageUrlList = new ArrayList<>();
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List<CommonReq> imageUrls = req.getImageUrls();
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for (CommonReq imageReq : imageUrls) {
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ACommonTextRequest commonTextRequest = new ACommonTextRequest();
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commonTextRequest.setImageUrl(imageReq.getImageUrl());
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commonTextRequest.setImageBase64(imageReq.getImageBase64());
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imageUrlList.add(commonTextRequest);
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}
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actionRequest.setImageUrlList(imageUrlList);
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List<RecognizeImageActionResp> resps = new ArrayList<>();
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ApiR<RecognizeActionResponse> aR = aRecognizeActionHandle.handle(actionRequest);
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if (aR.isSuccess() && isSuccessStatusCode(aR.getData().getStatusCode())) {
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RecognizeActionResponseBody.RecognizeActionResponseBodyData responseBodyData = aR.getData().getBody().getData();
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List<RecognizeActionResponseBody.RecognizeActionResponseBodyDataElements> elements = responseBodyData.getElements();
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if (CollectionUtils.isNotEmpty(elements)) {
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for (RecognizeActionResponseBody.RecognizeActionResponseBodyDataElements element : elements) {
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RecognizeImageActionResp actionResp = new RecognizeImageActionResp();
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actionResp.setLabels(element.getLabels());
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actionResp.setScores(element.getScores());
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resps.add(actionResp);
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}
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}
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return R.ok().setData(resps);
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}
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return R.error(aR.getErrorMsg());
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}
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}
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@ -0,0 +1,74 @@
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package com.heyu.api.controller.face;
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import com.aliyun.facebody20191230.models.RecognizeActionResponse;
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import com.aliyun.facebody20191230.models.RecognizeActionResponseBody;
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import com.heyu.api.alibaba.handle.facebody.ARecognizeActionHandle;
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import com.heyu.api.alibaba.request.facebody.ARecognizeActionRequest;
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import com.heyu.api.controller.BaseController;
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import com.heyu.api.data.annotation.NotIntercept;
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import com.heyu.api.data.utils.ApiR;
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import com.heyu.api.data.utils.R;
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import com.heyu.api.request.face.RecognizeVideoActionReq;
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import com.heyu.api.resp.face.RecognizeVideoActionResp;
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import lombok.extern.slf4j.Slf4j;
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import org.apache.commons.collections.CollectionUtils;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.ArrayList;
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import java.util.List;
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/***
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* https://next.api.aliyun.com/api/facebody/2019-12-30/RecognizeAction?RegionId=cn-shanghai
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*
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*
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* 动作行为识别 RecognizeAction
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*
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*/
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@Slf4j
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@RestController
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@RequestMapping("/action/video")
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@NotIntercept
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public class RecognizeVideoActionController extends BaseController {
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@Autowired
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private ARecognizeActionHandle aRecognizeActionHandle;
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@RequestMapping("/recognize")
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public R recognize(RecognizeVideoActionReq req) {
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ARecognizeActionRequest actionRequest = new ARecognizeActionRequest();
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actionRequest.setVideoUrl(req.getVideoUrl());
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actionRequest.setVideoBase64(req.getVideoBase64());
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List<RecognizeVideoActionResp> resps = new ArrayList<>();
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ApiR<RecognizeActionResponse> aR = aRecognizeActionHandle.handle(actionRequest);
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if (aR.isSuccess() && isSuccessStatusCode(aR.getData().getStatusCode())) {
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RecognizeActionResponseBody.RecognizeActionResponseBodyData responseBodyData = aR.getData().getBody().getData();
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List<RecognizeActionResponseBody.RecognizeActionResponseBodyDataElements> elements = responseBodyData.getElements();
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if (CollectionUtils.isNotEmpty(elements)) {
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for (RecognizeActionResponseBody.RecognizeActionResponseBodyDataElements element : elements) {
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RecognizeVideoActionResp actionResp = new RecognizeVideoActionResp();
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actionResp.setLabels(element.getLabels());
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actionResp.setScores(element.getScores());
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actionResp.setTimestamp(element.getTimestamp());
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resps.add(actionResp);
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}
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}
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return R.ok().setData(resps);
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}
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return R.error(aR.getErrorMsg());
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}
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}
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@ -0,0 +1,26 @@
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package com.heyu.api.request.face;
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import com.heyu.api.data.dto.BaseReq;
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import com.heyu.api.request.CommonReq;
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import lombok.Data;
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import java.util.List;
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/***
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* https://next.api.aliyun.com/api/facebody/2019-12-30/RecognizeAction?RegionId=cn-shanghai
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*
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* 动作行为识别 RecognizeAction
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*/
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@Data
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public class RecognizeImageActionReq extends BaseReq {
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/***
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* 图像列表
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*
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* 子级条数 <= 300
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*
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*/
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private List<CommonReq> imageUrls;
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}
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@ -0,0 +1,43 @@
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package com.heyu.api.request.face;
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import com.heyu.api.data.dto.BaseReq;
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import lombok.Data;
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/***
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* https://next.api.aliyun.com/api/facebody/2019-12-30/RecognizeAction?RegionId=cn-shanghai
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*
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*动作行为识别 RecognizeAction
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*/
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@Data
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public class RecognizeVideoActionReq extends BaseReq {
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/**
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* 图片的url
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*/
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private String videoUrl;
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/**
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* base 64 编码
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*/
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private String videoBase64;
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/**
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* 图像列表
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*
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* Type 为 1 时需要输入的图像 URL 地址，必须输入 4 张图像，且 4 张图像建议为两秒钟视频均匀采样的图像，分辨率和通道数必须一致。推荐使用上海地域的 OSS 链接，对于文件在本地或者非上海地域 OSS 链接的情况，请参见文件 URL 处理。
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*
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* 示例值:
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* http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/facebody/RecognizeAction/1RecognizeAction1.png
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* imageData
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* string
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* 图像 Base64 编码字符串，与 URL 共存时，URL 优先。文件的 Base64 编码处理操作，请参见文件 Base64 处理。
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*
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* 示例值:
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* /9j/4AAQSkZJRgABAQAAAQABAAD/2wBDAAgGBgcGBQgHBwcJCQgQ****
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*
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*/
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}
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@ -0,0 +1,46 @@
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package com.heyu.api.resp.face;
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import com.heyu.api.data.dto.BaseResp;
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import lombok.Data;
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@Data
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public class RecognizeImageActionResp extends BaseResp {
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/***
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* 识别到的行为类别。
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*
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* 示例值:
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* 跌倒
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*/
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public java.util.List<String> labels;
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/***
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*行为类别的置信度。取值范围 0~1，值越大，识别到的动作越准确。系统根据算法，为不同的动作给出判断的阈值标准，您也可以根据自己的实际情况，对判断的阈值标准进行调整。
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*
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* 举手：0.5（低于 0.5 则认为不是举手行为，否则认为是举手行为。）
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*
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* 吃喝：0.5（低于 0.5 则认为不是吃喝行为，否则认为是吃喝行为。）
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*
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* 吸烟：0.5（低于 0.5 则认为不是吸烟行为，否则认为是吸烟行为。）
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*
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* 打电话：0.5（低于 0.5 则认为不是打电话行为，否则认为是打电话行为。）
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*
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* 玩手机：0.5（低于 0.5 则认为不是玩手机行为，否则认为是玩手机行为。）
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*
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* 趴桌睡觉：0.5（低于 0.5 则认为不是趴桌睡觉行为，否则认为是趴桌睡觉行为。）
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*
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* 跌倒：0.5（低于 0.5 则认为不是跌倒行为，否则认为是跌倒行为。）
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*
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* 洗手：0.5（低于 0.5 则认为不是洗手行为，否则认为是洗手行为。）
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*
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* 拍照：0.5（低于 0.5 则认为不是拍照行为，否则认为是拍照行为。）
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*
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* 示例值:
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* 0.702967643737793
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*/
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public java.util.List<Float> scores;
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}
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@ -0,0 +1,68 @@
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package com.heyu.api.resp.face;
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import com.heyu.api.data.dto.BaseResp;
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import lombok.Data;
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/***
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* https://next.api.aliyun.com/api/facebody/2019-12-30/RecognizeAction?RegionId=cn-shanghai
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动作行为识别 RecognizeAction*
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*/
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@Data
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public class RecognizeVideoActionResp extends BaseResp {
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/***
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* Labels
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* array<string>
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* string
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* 识别到的行为类别。
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*
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* 示例值:
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* 跌倒
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*/
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public java.util.List<String> labels;
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/***
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* Scores
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* array<number<float>>
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* number<float>
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* 行为类别的置信度。取值范围 0~1，值越大，识别到的动作越准确。系统根据算法，为不同的动作给出判断的阈值标准，您也可以根据自己的实际情况，对判断的阈值标准进行调整。
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*
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* 举手：0.5（低于 0.5 则认为不是举手行为，否则认为是举手行为。）
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*
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* 吃喝：0.5（低于 0.5 则认为不是吃喝行为，否则认为是吃喝行为。）
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*
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* 吸烟：0.5（低于 0.5 则认为不是吸烟行为，否则认为是吸烟行为。）
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*
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* 打电话：0.5（低于 0.5 则认为不是打电话行为，否则认为是打电话行为。）
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*
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* 玩手机：0.5（低于 0.5 则认为不是玩手机行为，否则认为是玩手机行为。）
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*
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* 趴桌睡觉：0.5（低于 0.5 则认为不是趴桌睡觉行为，否则认为是趴桌睡觉行为。）
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*
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* 跌倒：0.5（低于 0.5 则认为不是跌倒行为，否则认为是跌倒行为。）
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*
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* 洗手：0.5（低于 0.5 则认为不是洗手行为，否则认为是洗手行为。）
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*
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* 拍照：0.5（低于 0.5 则认为不是拍照行为，否则认为是拍照行为。）
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*
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* 示例值:
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* 0.702967643737793
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*
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*/
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public java.util.List<Float> scores;
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/**
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* Timestamp
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* integer<int32>
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* 当前行为在视频或者图像中发生的时间戳信息。
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*
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* 示例值:
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* 3
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*
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*/
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public Integer timestamp;
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}
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