图片生成模型

curl --request POST \
  --url https://alb.neural4d.com:3000/api/generateModelWithImage \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'image=(binary)' \
  --form modelCount=1 \
  --form disablePbr=0 \
  --form onlyGenerateMesh=false \
  --form mesh_quality=high \
  --form faceNum=1000000 \
  --form 0.image='@example-file' \
  --form 1.image='@example-file'

const form = new FormData();
form.append('image', '(binary)');
form.append('modelCount', '1');
form.append('disablePbr', '0');
form.append('onlyGenerateMesh', 'false');
form.append('mesh_quality', 'high');
form.append('faceNum', '1000000');
form.append('0.image', '{
  "fileName": "example-file"
}');
form.append('1.image', '{
  "fileName": "example-file"
}');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

fetch('https://alb.neural4d.com:3000/api/generateModelWithImage', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://alb.neural4d.com:3000/api/generateModelWithImage"

files = {
    "0.image": ("example-file", open("example-file", "rb")),
    "1.image": ("example-file", open("example-file", "rb"))
}
payload = {
    "image": "(binary)",
    "modelCount": "1",
    "disablePbr": "0",
    "onlyGenerateMesh": "false",
    "mesh_quality": "high",
    "faceNum": "1000000"
}
headers = {"Authorization": "Bearer <token>"}

response = requests.post(url, data=payload, files=files, headers=headers)

print(response.text)

import fs from 'fs';

const formData = new FormData();
formData.append('image', '(binary)');
formData.append('modelCount', '1');
formData.append('disablePbr', '0');
formData.append('onlyGenerateMesh', 'false');
formData.append('mesh_quality', 'high');
formData.append('faceNum', '1000000');
formData.append('0.image', await new Response(fs.createReadStream('example-file')).blob());
formData.append('1.image', await new Response(fs.createReadStream('example-file')).blob());

const url = 'https://alb.neural4d.com:3000/api/generateModelWithImage';
const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}, body: formData};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

const form = new FormData();
form.append('image', '(binary)');
form.append('modelCount', '1');
form.append('disablePbr', '0');
form.append('onlyGenerateMesh', 'false');
form.append('mesh_quality', 'high');
form.append('faceNum', '1000000');
form.append('0.image', '{
  "fileName": "example-file"
}');
form.append('1.image', '{
  "fileName": "example-file"
}');

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

options.body = form;

fetch('https://alb.neural4d.com:3000/api/generateModelWithImage', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://alb.neural4d.com:3000/api/generateModelWithImage"

	payload := strings.NewReader("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n(binary)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"modelCount\"\r\n\r\n1\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"disablePbr\"\r\n\r\n0\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"onlyGenerateMesh\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mesh_quality\"\r\n\r\nhigh\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"faceNum\"\r\n\r\n1000000\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"1.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.post("https://alb.neural4d.com:3000/api/generateModelWithImage")
  .header("Authorization", "Bearer <token>")
  .body("-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n(binary)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"modelCount\"\r\n\r\n1\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"disablePbr\"\r\n\r\n0\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"onlyGenerateMesh\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mesh_quality\"\r\n\r\nhigh\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"faceNum\"\r\n\r\n1000000\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"1.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--")
  .asString();

using RestSharp;


var options = new RestClientOptions("https://alb.neural4d.com:3000/api/generateModelWithImage");
var client = new RestClient(options);
var request = new RestRequest("");
request.AlwaysMultipartFormData = true;
request.AddHeader("Authorization", "Bearer <token>");
request.AddParameter("image", "(binary)");
request.AddParameter("modelCount", "1");
request.AddParameter("disablePbr", "0");
request.AddParameter("onlyGenerateMesh", "false");
request.AddParameter("mesh_quality", "high");
request.AddParameter("faceNum", "1000000");
request.AddFile("0.image", "example-file");
request.AddFile("1.image", "example-file");
var response = await client.PostAsync(request);

Console.WriteLine("{0}", response.Content);

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_PORT => "3000",
  CURLOPT_URL => "https://alb.neural4d.com:3000/api/generateModelWithImage",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => "-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"image\"\r\n\r\n(binary)\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"modelCount\"\r\n\r\n1\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"disablePbr\"\r\n\r\n0\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"onlyGenerateMesh\"\r\n\r\nfalse\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"mesh_quality\"\r\n\r\nhigh\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"faceNum\"\r\n\r\n1000000\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"0.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001\r\nContent-Disposition: form-data; name=\"1.image\"; filename=\"example-file\"\r\nContent-Type: application/octet-stream\r\n\r\n{\r\n  \"fileName\": \"example-file\"\r\n}\r\n-----011000010111000001101001--",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}