Detecção e recorte de rosto

1curl --request POST 'https://api.apifordevs.com/api/v1/oracle/face/crop' \
2  --user "afd_live_pk_...:$AFD_SECRET_KEY" \
3  --header "X-Project-Id: $AFD_PROJECT_ID" \
4  --form 'file=@./file.jpg'

1import os
2import requests
3
4file = open("./file.jpg", "rb")
5response = requests.request(
6    "POST",
7    "https://api.apifordevs.com/api/v1/oracle/face/crop",
8    auth=("afd_live_pk_...", os.environ["AFD_SECRET_KEY"]),
9    headers={"X-Project-Id": os.environ["AFD_PROJECT_ID"]},
10    files={"file": file},
11    timeout=30,
12)
13response.raise_for_status()
14print(response.json())
15file.close()

1import { readFile } from "node:fs/promises";
2const form = new FormData();
3form.append("file", new Blob([await readFile("./file.jpg")]), "file.jpg");
4
5const response = await fetch("https://api.apifordevs.com/api/v1/oracle/face/crop", {
6  method: "POST",
7  headers: {
8    Authorization: "Basic " + Buffer.from(
9      "afd_live_pk_...:" + process.env.AFD_SECRET_KEY
10    ).toString("base64"),
11    "X-Project-Id": process.env.AFD_PROJECT_ID,
12  },
13  body: form,
14  signal: AbortSignal.timeout(30000),
15});
16if (!response.ok) throw new Error(`HTTP ${response.status}`);
17console.log(await response.json());