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异常图片检测（Java SDK）
最近更新时间：2024.02.04 18:31:08首次发布时间：2023.10.12 11:15:42
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异常图片检测用于检测图片中是否包含除图片以外的可疑文件，例如 MPEG-TS 文件。如果检测到图片包含可疑文件，您可以对该图片文件进行处理，防止存储空间被非法图床盗用。本文介绍如何通过 TOS Java SDK 进行异常图片检测。

注意事项

  • 检测的原图大小不能超过 20MB。
  • 仅支持对 JPG、JPEG、PNG、BMP、GIF 以及纯 TS 视频流格式文件进行异常图片检测。
  • 异常图片检测功能按处理的次数计费。详细说明，请参见数据处理费用。

示例代码

以下代码展示如何检测异常图片。

import com.fasterxml.jackson.core.JacksonException;
import com.fasterxml.jackson.core.type.TypeReference;
import com.volcengine.tos.TOSV2;
import com.volcengine.tos.TOSV2ClientBuilder;
import com.volcengine.tos.TosClientException;
import com.volcengine.tos.TosServerException;
import com.volcengine.tos.internal.util.TosUtils;
import com.volcengine.tos.model.object.GetObjectV2Input;
import com.volcengine.tos.model.object.GetObjectV2Output;

import java.io.ByteArrayOutputStream;
import java.io.IOException;

public class ImageInspectExample {
    static class ImageInspectResult {
        int picSize;
        String picType;
        boolean suspicious;
        int suspiciousBeginByte;
        int suspiciousEndByte;
        int suspiciousSize;
        String suspiciousType;

        public String toString() {
            return "[picSize:" + this.picSize + ",picType:" + this.picType + ",suspicious:" + this.suspicious +
                    ",suspiciousBeginByte:" + this.suspiciousBeginByte + ",suspiciousEndByte:" + this.suspiciousEndByte
                    + ",suspiciousSize:" + this.suspiciousSize + ",suspiciousType:" + this.suspiciousType + "]";
        }
    }

    public static void main(String[] args) {
        String endpoint = "your endpoint";
        String region = "your region";
        String accessKey = System.getenv("TOS_ACCESS_KEY");
        String secretKey = System.getenv("TOS_SECRET_KEY"); 

        String bucketName = "bucket-example";
        // 需要确保对象已存在
        String objectKey = "image.png";
        String style = "image/inspect"; // 异常图片检测

        TOSV2 tos = new TOSV2ClientBuilder().build(region, endpoint, accessKey, secretKey);
        try {
            GetObjectV2Input input = new GetObjectV2Input().setBucket(bucketName).setKey(objectKey).setProcess(style);
            try (ByteArrayOutputStream stream = new ByteArrayOutputStream();
                 GetObjectV2Output output = tos.getObject(input)) {
                byte[] buffer = new byte[1024];
                int length;
                while ((length = output.getContent().read(buffer)) != -1) {
                    stream.write(buffer, 0, length);
                }
                String respBody = stream.toString("UTF-8");
                System.out.println("Image inspect success, inspect info is " + respBody);
                ImageInspectResult result = TosUtils.getJsonMapper().readValue(respBody, new TypeReference<ImageInspectResult>() {
                });
                System.out.println(result.toString());
            } catch (JacksonException e) {
                System.out.println("parse response data failed");
                e.printStackTrace();
            } catch (IOException e) {
                System.out.println("read response data failed");
                e.printStackTrace();
            }
        } catch (TosClientException e) {
            // 操作失败，捕获客户端异常，一般情况是请求参数错误，此时请求并未发送。
            System.out.println("Image inspect failed");
            System.out.println("Message: " + e.getMessage());
            if (e.getCause() != null) {
                e.getCause().printStackTrace();
            }
        } catch (TosServerException e) {
            // 操作失败，捕获服务端异常，可以获取到从服务端返回的详细错误信息。
            System.out.println("Image inspect failed");
            System.out.println("StatusCode: " + e.getStatusCode());
            System.out.println("Code: " + e.getCode());
            System.out.println("Message: " + e.getMessage());
            System.out.println("RequestID: " + e.getRequestID());
        } catch (Throwable t) {
            // 作为兜底捕获其他异常，一般不会执行到这里。
            System.out.println("Image inspect failed");
            System.out.println("unexpected exception, message: " + t.getMessage());
        }
    }
}

相关文档

关于异常图片检测的详细介绍，请参见异常图片检测。