Tatvora Face Detection AI

curl -X POST https://api.tatvora.comPOST /api/v1/face/detect \
  -H "Authorization: Bearer $TATVORA_API_KEY" \
  -F "image=@frame.jpg"

import os
import requests

with open("frame.jpg", "rb") as f1:
    response = requests.post(
        "https://api.tatvora.comPOST /api/v1/face/detect",
        headers={"Authorization": f"Bearer {os.environ['TATVORA_API_KEY']}"},
        files={"image": f1},
        timeout=30,
    )

response.raise_for_status()
print(response.json())

const form = new FormData();
form.append("image", imageFile); // File or Blob

const response = await fetch("https://api.tatvora.comPOST /api/v1/face/detect", {
  method: "POST",
  headers: { Authorization: `Bearer ${process.env.TATVORA_API_KEY}` },
  body: form,
});

if (!response.ok) {
  throw new Error(`Tatvora API error ${response.status}`);
}

const result = await response.json();
console.log(result);

using System.Net.Http.Headers;

var apiKey = Environment.GetEnvironmentVariable("TATVORA_API_KEY");

using var client = new HttpClient();
client.DefaultRequestHeaders.Authorization = new AuthenticationHeaderValue("Bearer", apiKey);

using var form = new MultipartFormDataContent();

using var stream1 = File.OpenRead("frame.jpg");
var part1 = new StreamContent(stream1);
part1.Headers.ContentType = new MediaTypeHeaderValue("application/octet-stream");
form.Add(part1, "image", "frame.jpg");

using var response = await client.PostAsync("https://api.tatvora.comPOST /api/v1/face/detect", form);

response.EnsureSuccessStatusCode();
Console.WriteLine(await response.Content.ReadAsStringAsync());

// Prefer IHttpClientFactory over `new HttpClient()` in ASP.NET Core apps:
//   builder.Services.AddHttpClient("FaceDetectionClient", c =>
//       c.BaseAddress = new Uri("https://api.tatvora.com"));

import java.io.IOException;
import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.ArrayList;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.UUID;

public class FaceDetectionExample {

    public static void main(String[] args) throws Exception {
        Map<String, Path> files = new LinkedHashMap<>();
            files.put("image", Path.of("frame.jpg"));

        String boundary = "tatvora-" + UUID.randomUUID();

        HttpRequest request = HttpRequest.newBuilder(URI.create("https://api.tatvora.comPOST /api/v1/face/detect"))
                .header("Authorization", "Bearer " + System.getenv("TATVORA_API_KEY"))
                .header("Content-Type", "multipart/form-data; boundary=" + boundary)
                .POST(multipart(boundary, files))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(request, HttpResponse.BodyHandlers.ofString());

        System.out.println(response.statusCode() + " " + response.body());
    }

    private static HttpRequest.BodyPublisher multipart(String boundary, Map<String, Path> files)
            throws IOException {
        List<byte[]> parts = new ArrayList<>();
        for (Map.Entry<String, Path> file : files.entrySet()) {
            parts.add(("--" + boundary + "\r\n"
                    + "Content-Disposition: form-data; name=\"" + file.getKey()
                    + "\"; filename=\"" + file.getValue().getFileName() + "\"\r\n"
                    + "Content-Type: application/octet-stream\r\n\r\n").getBytes());
            parts.add(Files.readAllBytes(file.getValue()));
            parts.add("\r\n".getBytes());
        }
        parts.add(("--" + boundary + "--\r\n").getBytes());
        return HttpRequest.BodyPublishers.ofByteArrays(parts);
    }
}