1.服务开通
地址：https://vision.aliyun.com/imageaudit?spm=5176.11065253.1411203.3.7e8153f6mehjzV
2.引入公共POM依赖
<!--json转换依赖-->
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>2.0.25</version>
</dependency>
<!--文字内容审核依赖及图片审核依赖共用-->
<dependency>
<groupId>com.aliyun</groupId>
<artifactId>imageaudit20191230</artifactId>
<version>2.0.6</version>
</dependency>3.文本审核
3.1 核心代码
private static final String accessKeyId = "<your-access-key-id>";
private static final String accessKeySecret = "<your-access-key-secret>";
@PostMapping("/scanText")
public String scanText(@RequestBody HashMap<String,String> reqMap) throws Exception {
// 获取待检测的文字
String text = reqMap.get("text");
System.out.println("text="+text);
// 返回结果的变量
Map<String,String> resMap = new HashMap<>();
//实例化客户端
Config config = new Config()
// 必填，您的 AccessKey ID
.setAccessKeyId(accessKeyId)
// 必填，您的 AccessKey Secret
.setAccessKeySecret(accessKeySecret);
config.endpoint = "imageaudit.cn-shanghai.aliyuncs.com";
Client client = new Client(config);
/**
* spam：文字垃圾内容识别
* politics：文字敏感内容识别
* abuse：文字辱骂内容识别
* terrorism：文字暴恐内容识别
* porn：文字鉴黄内容识别
* flood：文字灌水内容识别
* contraband：文字违禁内容识别
* ad：文字广告内容识别
*/
// 设置待检测类型
ScanTextRequest.ScanTextRequestLabels labels0 = new ScanTextRequest.ScanTextRequestLabels()
.setLabel("politics");
ScanTextRequest.ScanTextRequestLabels labels1 = new ScanTextRequest.ScanTextRequestLabels()
.setLabel("contraband");
ScanTextRequest.ScanTextRequestLabels labels2 = new ScanTextRequest.ScanTextRequestLabels()
.setLabel("terrorism");
ScanTextRequest.ScanTextRequestLabels labels3 = new ScanTextRequest.ScanTextRequestLabels()
.setLabel("abuse");
ScanTextRequest.ScanTextRequestLabels labels4 = new ScanTextRequest.ScanTextRequestLabels()
.setLabel("spam");
ScanTextRequest.ScanTextRequestLabels labels5 = new ScanTextRequest.ScanTextRequestLabels()
.setLabel("ad");
// 设置待检测内容
ScanTextRequest.ScanTextRequestTasks tasks0 = new ScanTextRequest.ScanTextRequestTasks()
.setContent(text);
ScanTextRequest scanTextRequest = new ScanTextRequest()
.setTasks(java.util.Arrays.asList(
tasks0
))
.setLabels(java.util.Arrays.asList(
labels0,
labels1,
labels2,
labels3,
labels4,
labels5
));
RuntimeOptions runtime = new RuntimeOptions();
ScanTextResponse response = null;
try {
// 复制代码运行请自行打印 API 的返回值
response = client.scanTextWithOptions(scanTextRequest, runtime);
resMap.put("data",JSON.toJSONString(response.getBody().getData().getElements().get(0).getResults()));
//调用后获取到他的返回对象， 然后判断我们的文字 是什么内容
List<ScanTextResponseBody.ScanTextResponseBodyDataElementsResultsDetails> responseDetails = response.getBody().getData().getElements().get(0).getResults().get(0).getDetails();
if (responseDetails.size()>0){
resMap.put("state","block");
StringBuilder error = new StringBuilder("检测到：");
for (ScanTextResponseBody.ScanTextResponseBodyDataElementsResultsDetails detail : responseDetails) {
if ("abuse".equals(detail.getLabel())) error.append("辱骂内容、");
if ("spam".equals(detail.getLabel())) error.append("垃圾内容、");
if ("politics".equals(detail.getLabel())) error.append("敏感内容、");
if ("terrorism".equals(detail.getLabel())) error.append("暴恐内容、");
if ("porn".equals(detail.getLabel())) error.append("黄色内容、");
if ("flood".equals(detail.getLabel())) error.append("灌水内容、");
if ("contraband".equals(detail.getLabel())) error.append("违禁内容、");
if ("ad".equals(detail.getLabel())) error.append("广告内容、");
}
resMap.put("msg",error.toString());
return JSON.toJSONString(resMap);
}else {
resMap.put("state","pass");
resMap.put("msg","未检测出违规!");
return JSON.toJSONString(resMap);
}
} catch (Exception _error) {
resMap.put("state","review");
resMap.put("msg","阿里云无法进行判断，需要人工进行审核,错误详情:"+_error);
return JSON.toJSONString(resMap);
}
}3.2 调用结果
- req
{
"text":"hello word! 卧槽6666"
}- res
{
"state": "block",
"msg": "检测到：辱骂内容、",
"data": {
"details": [{ "contexts": [{ "context": "卧槽" }], "label": "abuse" }],
"label": "abuse",
"rate": 99.91,
"suggestion": "block"
}
}4.图片审核
4.1 核心代码
private static final String accessKeyId = "<your-access-key-id>";
private static final String accessKeySecret = "<your-access-key-secret>";
@PostMapping("/scanImage")
public String scanImage(@RequestBody HashMap<String,String> reqMap) throws Exception {
// 获取待检测的文字
String image = reqMap.get("image");
System.out.println("image="+image);
// 返回结果的变量
Map<String,String> resMap = new HashMap<>();
//实例化客户端
Config config = new Config()
// 必填，您的 AccessKey ID
.setAccessKeyId(accessKeyId)
// 必填，您的 AccessKey Secret
.setAccessKeySecret(accessKeySecret);
config.endpoint = "imageaudit.cn-shanghai.aliyuncs.com";
Client client = new Client(config);
// 设置待检测内容
ScanImageRequest.ScanImageRequestTask task0 = new ScanImageRequest.ScanImageRequestTask().setImageURL(image);
// 封装检测请求
/**
* porn：图片智能鉴黄
* terrorism：图片敏感内容识别、图片风险人物识别
* ad：图片垃圾广告识别
* live：图片不良场景识别
* logo：图片Logo识别
*/
ScanImageRequest scanImageRequest = new ScanImageRequest()
.setTask(java.util.Arrays.asList(
task0
))
.setScene(java.util.Arrays.asList(
"porn","terrorism","live"
));
RuntimeOptions runtime = new RuntimeOptions();
// 调用API获取检测结果
ScanImageResponse response = client.scanImageWithOptions(scanImageRequest, runtime);
resMap.put("data",JSON.toJSONString(response.getBody().getData().getResults().get(0)));
// 检测结果解析
try {
List<ScanImageResponseBody.ScanImageResponseBodyDataResultsSubResults> responseSubResults = response.getBody().getData().getResults().get(0).getSubResults();
for(ScanImageResponseBody.ScanImageResponseBodyDataResultsSubResults responseSubResult : responseSubResults){
if(responseSubResult.getSuggestion()!="pass"){
resMap.put("state",responseSubResult.getSuggestion());
String msg = "";
switch (responseSubResult.getLabel()){
case "porn":
msg = "图片智能鉴黄未通过";
break;
case "terrorism":
msg = "图片敏感内容识别、图片风险人物识别未通过";
break;
case "ad":
msg = "图片垃圾广告识别未通过";
break;
case "live":
msg = "图片不良场景识别未通过";
break;
case "logo":
msg = "图片Logo识别未通过";
break;
}
return JSON.toJSONString(resMap);
}
}
} catch (Exception error) {
resMap.put("state","review");
resMap.put("msg","发生错误，详情:"+error);
return JSON.toJSONString(resMap);
}
resMap.put("state","pass");
return JSON.toJSONString(resMap);
}4.2 调用结果
- req
{
"image":"https://jupite-aliyun.oss-cn-hangzhou.aliyuncs.com/second_hand_shop/client/img/goodImgs/1683068284289.jpg"
}- res
{
"data": {
"imageURL": "http://jupite-aliyun.oss-cn-hangzhou.aliyuncs.com/second_hand_shop/client/img/goodImgs/1683068284289.jpg",
"subResults": [
{
"label": "normal",
"rate": 99.9,
"scene": "porn",
"suggestion": "pass"
},
{
"label": "normal",
"rate": 99.88,
"scene": "terrorism",
"suggestion": "pass"
},
{
"label": "normal",
"rate": 99.91,
"scene": "live",
"suggestion": "pass"
}
]
},
"state": "pass"
}
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