我正在尝试使用Microsoft Face API。为此，我将以下代码作为示例（在本页末尾https://dev.projectoxford.ai/docs/services/563879b61984550e40cbbe8d/operations/563879b61984550f30395236）提供：
HttpClient httpclient = HttpClients.createDefault();
try {
URIBuilder builder = new URIBuilder("https://api.projectoxford.ai/face/v1.0/detect");
builder.setParameter("returnFaceId", "false");
builder.setParameter("returnFaceLandmarks", "false");
builder.setParameter("returnFaceAttributes", "age,gender");
URI uri = builder.build();
HttpPost request = new HttpPost(uri);
request.setHeader("Content-Type", "application/octet-stream");
request.setHeader("Ocp-Apim-Subscription-Key", "...");
String body = Base64.encodeBase64String(img);
StringEntity reqEntity = new StringEntity(body);
request.setEntity(reqEntity);
HttpResponse response = httpclient.execute(request);
HttpEntity entity = response.getEntity();
if (entity != null) {
System.out.println(EntityUtils.toString(entity));
return JsonParser.parse(EntityUtils.toString(entity));
}
} catch (URISyntaxException | IOException | ParseException e) {
System.out.println(e.getMessage());
}
return null;
但是我收到以下错误：
{"error":{"code":"InvalidImage","message":"Decoding error, image format unsupported."}}
我用于测试的图像是这样的： http://www.huntresearchgroup.org.uk/images/group/group_photo_2010.jpg （通过快速搜索在互联网上找到）
它尊重Microsoft设置的所有请求，大小和格式......如果我在网站中使用它，它可以正常工作https://www.projectoxford.ai/demo/face#detection
从我的字节数组转换为base64中的字符串的String body也可以，我在这个网站上测试它：http://codebeautify.org/base64-to-image-converter
错误信息非常简单，但我看不到我在哪里。任何人都可能知道这个问题是什么？
更新
变量img：
img = Files.readAllBytes(Paths.get(imgPath));
答案 0 :(得分：2)
我设法发现了问题......而不是：
String body = Base64.encodeBase64String(img);
StringEntity reqEntity = new StringEntity(body);
request.setEntity(reqEntity);
我需要这样做：
ByteArrayEntity reqEntity = new ByteArrayEntity(img, ContentType.APPLICATION_OCTET_STREAM);
request.setEntity(reqEntity);
我认为文档已经过时了......
答案 1 :(得分：1)
我做了以下更改。我没有发送编码图像，而是发送图像的URL。
request.setHeader("Content-Type", "application/json");
request.setHeader("Ocp-Apim-Subscription-Key", "{YOUR_FACES_API_KEY}");
StringEntity reqEntity = new StringEntity("{ \"url\":\"http://www.huntresearchgroup.org.uk/images/group/group_photo_2010.jpg\" }");
request.setEntity(reqEntity);
这得到了答复：
[{"faceRectangle":{"top":878,"left":2718,"width":312,"height":312},"faceAttributes":{"gender":"male","age":28.5}},{"faceRectangle":{"top":593,"left":573,"width":310,"height":310},"faceAttributes":{"gender":"male","age":27.5}},{"faceRectangle":{"top":1122,"left":1014,"width":294,"height":294},"faceAttributes":{"gender":"female","age":27.7}},{"faceRectangle":{"top":915,"left":1773,"width":277,"height":277},"faceAttributes":{"gender":"female","age":36.7}},{"faceRectangle":{"top":566,"left":1276,"width":269,"height":269},"faceAttributes":{"gender":"male","age":40.7}},{"faceRectangle":{"top":677,"left":2134,"width":257,"height":257},"faceAttributes":{"gender":"female","age":35.2}}]
将尽快发送编码图像。将相应更新此帖子。
编辑：
从网址下载图片
String base64Img = null;
byte[] bytes = null;
String imgBinaryString = null;
String base64ImgBinaryString = null;
try {
URL url = new URL("http://www.businessstudynotes.com/wp-content/uploads/2015/09/Role-of-Group.jpg");
//"http://www.huntresearchgroup.org.uk/images/group/group_photo_2010.jpg");
BufferedImage image = ImageIO.read(url);
ByteArrayOutputStream baos = new ByteArrayOutputStream();
ImageIO.write(image, "jpg", baos);
bytes = baos.toByteArray();
StringBuilder sb = new StringBuilder();
for (byte by: bytes)
sb.append(Integer.toBinaryString(by & 0xFF));
imgBinaryString = sb.toString();
base64Img = Base64.getEncoder().encodeToString(bytes);
byte[] base64Bytes = base64Img.getBytes("UTF-8");
sb = new StringBuilder();
for (byte by: base64Bytes) {
sb.append(Integer.toBinaryString(by & 0xFF));
}
base64ImgBinaryString = sb.toString();
} catch (MalformedURLException e) {
// TODO Auto-generated catch block
System.out.println("Download issue");
e.printStackTrace();
} catch (IOException e) {
// TODO Auto-generated catch block
System.out.println("ImageIO issue");
e.printStackTrace();
}
imgBinaryString包含图像的二进制表示; base64ImgBinaryString包含图像的Base 64表示的二进制表示。
上传此图片......
URI uri = builder.build(); // builder = new URIBuilder("https://api.projectoxford.ai/face/v1.0/detect");
HttpPost request = new HttpPost(uri);
request.setHeader("Content-Type", "application/octet-stream");
request.setHeader("Ocp-Apim-Subscription-Key", "{YOUR_FACES_API_KEY");
StringEntity reqEntity = new StringEntity(base64ImgBinaryString);
request.setEntity(reqEntity);
HttpResponse response = httpclient.execute(request);
将StringEntity设置为imgBinaryString和base64ImgBinaryString会产生相同的回复......
{"error":{"code":"InvalidImage","message":"Decoding error, image format unsupported."}}
现在，好东西。这有效......
ByteArrayEntity reqEntity = new ByteArrayEntity(bytes, ContentType.APPLICATION_OCTET_STREAM);
request.setEntity(reqEntity);
其中bytes是图像的字节数组;但是Base64的表示并不起作用。有人真的需要更新文档。
答案 2 :(得分：0)
您可以查看CognitiveJ，这是一个处理通信的开源库。与MS的交互面临API。如果您不想使用该库，那么您可以查看代码以查看REST API所期望的内容。
（披露 - 我是图书馆的作者）。
答案 3 :(得分：0)
import okhttp3.*;
import java.io.File;
import java.io.IOException;
public class Main {
public static void main(String[] args) {
try {
doRequest();
} catch (IOException e) {
e.printStackTrace();
}
}
public static void doRequest() throws IOException {
OkHttpClient client = new OkHttpClient();
RequestBody body = RequestBody.create(MediaType.parse("application/octet-stream"),
new File(".//src//main//java//Archivo_001.png"));
Request request = new Request.Builder()
.url("https://westcentralus.api.cognitive.microsoft.com/face/v1.0/detect?returnFaceId=true&returnFaceLandmarks=false&returnFaceAttributes=age,gender,headPose,smile,facialHair,glasses,emotion,hair,makeup,occlusion,accessories,blur,exposure,noise")
.post(body)
.addHeader("Ocp-Apim-Subscription-Key", "1d88f949af3443ea8cc16b7146bd7501")
.addHeader("Content-Type", "application/json")
.addHeader("cache-control", "no-cache")
.build();
Response response = client.newCall(request).execute();
System.out.println(response.body().string());
}
}