java - 如何修复 "InvalidImageSize","message":"Image size is too small."

Question

[在此处输入图像描述][1]我一直在尝试使用 azure 认知“面部检测”服务。在将图像作为 url 传递时，我能够从服务获得积极响应，但是当以字节为单位转换图像后传递时，服务确实会抛出错误:{ "code": "无效图像大小", "message": "图片尺寸太小。"}我确实确保(在 Debug模式下)转换后的字节大小为 1194Kb，这远低于限制(1Kb 到 6Mb)。虽然我不确定我做错了什么:|

我确实尝试以多种方式将图像转换为字节，但一切都是徒劳的。

我的最终目标是:我需要接受图像的 Base64 表示并调用此人脸检测服务，而不是从本地读取图像。

任何帮助将不胜感激，谢谢。

String photo = "C:\\dev\\check.jpeg";
        try {
            byte[] readAllBytes = Files.readAllBytes(Paths.get(photo));
            ByteArrayEntity reqEntity = new ByteArrayEntity(readAllBytes, ContentType.APPLICATION_OCTET_STREAM);

            HttpHeaders headers = new HttpHeaders();
            headers.setContentType(MediaType.APPLICATION_OCTET_STREAM);
            headers.set("Ocp-Apim-Subscription-Key", "xxxxxxxxxxxx");

            Map<String, String> params = new HashMap<>();
            params.put("returnFaceId", "true");
            params.put("recognitionModel", "recognition_02");
            params.put("detectionModel", "detection_02");

            ResponseEntity<List<DetectFaceRes>> exchange = restTemplateFaceApiService.exchange(getUri(DETECT_FACE.getMapping()), HttpMethod.POST, new HttpEntity<>(reqEntity, headers), new ParameterizedTypeReference<List<DetectFaceRes>>(){}, params);
            if(responseHasTargetFace(exchange)) {
                return exchange.getBody();
            }
            log.error("some error");
            throw someExpception()
        }

Error:
{
    "code": "InvalidImageSize",
    "message": "Image size is too small."
}


  [1]: /image/JJH8U.jpg

Answer 1

为了简化测试，我只是将响应读取为字符串。我下载了你的图片并在我的代码中使用它。

我通过以下代码获得了成功:

    public static void TestRestTemplateExchange() {
        RestTemplate rt = new RestTemplate();

        String photo = "C:\\Users\\v-linjji\\Pictures\\test.jpg";
        byte[] readAllBytes = null;
        try {
            readAllBytes = Files.readAllBytes(Paths.get(photo));
        } catch (IOException e) {
            e.printStackTrace();
        }

        HttpHeaders headers = new HttpHeaders();
        headers.setContentType(MediaType.APPLICATION_OCTET_STREAM);
        headers.set("Ocp-Apim-Subscription-Key","1fb1*********eb8b");

        Map<String, String> params = new HashMap<>();
        params.put("returnFaceId", "true");
        params.put("recognitionModel", "recognition_02");
        params.put("detectionModel", "detection_02");

        String url = "https://southeastasia.api.cognitive.microsoft.com/face/v1.0/detect";
        ResponseEntity<String> responseEntity = null;
        String responseBody = null;
        try {
            responseEntity = rt.exchange(url,HttpMethod.POST, new HttpEntity<>(readAllBytes, headers), String.class,params);
            responseBody = responseEntity.getBody();
            System.out.println(responseBody);
        }catch (HttpClientErrorException e){
            System.out.println(e.getResponseBodyAsString());
        }
    }

回应:

[{"faceId":"75c3c9dc-be49-4c16-a54c-a1710062967b","faceRectangle":{"top":570,"left":360,"width":444,"height":444}}]