Binibigyang-daan ka ng Background Remover API na isama ang pag-alis ng background na pinapagana ng AI sa iyong mga application. Alisin ang mga background mula sa mga larawan at video sa pamamagitan ng programa gamit ang mga simpleng REST API call.

Para makapagsimula, mag-sign up para sa isang API key sa Portal ng Nag-develop

Authorization: <api_key>

Sanggunian ng mga Parameter ng API

Maaaring isama ang mga sumusunod na parameter sa iyong mga kahilingan sa API. Sinusuportahan ng lahat ng pag-upload ng file ang malalaking file nang walang praktikal na limitasyon sa laki.

Mga Parameter sa Pagproseso ng Imahe

Parametro	Uri	Default	Paglalarawan
`convert_to`	string	kinakailangan	Itakda sa image-backgroundremover
`model`	string	u2net	Modelo ng AI: u2net (pangkalahatang bagay/tao/bagay), u2net_human_seg (na-optimize para sa mga tao), u2netp (mabilis/magaan)
`alpha_matting`	boolean	false	Paganahin ang alpha matting para sa mas matatalas na gilid ng buhok at mga pinong detalye
`alpha_fg`	int	240	Hangganan sa harapan (0-255). Mas mataas = mas mahigpit na pagtuklas sa harapan
`alpha_bg`	int	10	Hangganan ng background (0-255). Mas mababa = mas mahigpit na pagtuklas ng background
`alpha_erode`	int	10	Laki ng erosyon sa gilid (1-25). Kinokontrol ang talas ng gilid
`alpha_base_size`	int	1000	Laki ng base para sa pagproseso ng alpha matting. Mas mataas = mas mahusay na kalidad ngunit mas mabagal
`only_mask`	boolean	false	Ibalik ang itim/puting maskara sa halip na transparent na imahe
`bg_type`	string	transparent	Uri ng background: transparent, kulay, o larawan
`bg_color_value`	string	#ffffff	Kulay ng background sa hex format (kapag bg_type=color)

Mga Parameter sa Pagproseso ng Video

Parametro	Uri	Default	Paglalarawan
`convert_to`	string	kinakailangan	Itakda sa video-backgroundremover
`model`	string	u2net	Modelo ng AI: u2net (pangkalahatan), u2net_human_seg (mga tao), u2netp (mabilis)
`video_format`	string	mov	Format ng output: mov (transparent), mattekey (mp4 matte), gif (animated), video_over_image, video_over_video, gif_with_bg, mp4_with_color
`alpha_matting`	boolean	false	Paganahin ang alpha matting para sa mas matatalas na gilid
`alpha_fg`	int	240	Hangganan sa harapan (0-255)
`alpha_bg`	int	10	Hangganan ng background (0-255)
`alpha_erode`	int	10	Laki ng erosyon sa gilid (1-25)
`alpha_base_size`	int	1000	Laki ng base para sa pagproseso ng alpha matting
`video_bg_color_enabled`	boolean	false	Paganahin ang solidong kulay ng background (para sa format na mp4_with_color)
`video_bg_color`	string	#00ff00	Kulay ng background sa hex format
`framerate`	int	auto	Pasadyang output framerate (1-60 FPS). Iwanang blangko para tumugma sa input na video
`frame_limit`	int	none	Limitahan ang pagproseso sa unang N frame. Kapaki-pakinabang para sa pagsubok o paggawa ng mga clip

Alisin ang background ng larawan

import requests
import time
import shutil
import json

headers = {'Authorization': 'YOUR_API_KEY'}
file_list = ['testfiles/image.jpeg']
params = {
    'lang': 'en',
    'convert_to': 'image-backgroundremover',
    'model': 'u2net',
    'alpha_matting': 'true',
    'alpha_fg': '240',
    'alpha_bg': '10',
    'alpha_erode': '10',
}
api_domain = "api.backgroundremoverai.com"
port = "https"
api_url = f"{port}://{api_domain}/v1/convert/"
results_url = f"{port}://{api_domain}/v1/results/"


def download_file(url, local_filename):
    with requests.get(f"{port}://{api_domain}{url}", stream=True) as r:
        with open(local_filename, 'wb') as f:
            shutil.copyfileobj(r.raw, f)
    return local_filename


def convert_files(api_url, params, headers):
    files = [eval(f'("files", open("{file}", "rb"))') for file in file_list]
    r = requests.post(
        url=api_url,
        files=files,
        data=params,
        headers=headers
    )
    if r.status_code != 200:
        print(r.status_code)
        print(r.content)
        return

    return r.json()


def get_results(params):
    if params.get('error'):
        return params.get('error')

    r = requests.post(
        url=results_url,
        data=params
    )
    data = r.json()
    finished = data.get('finished')

    while not finished:
        if int(data.get('queue_count')) > 0:
            print('queue: %s' % data.get('queue_count'))

        time.sleep(5)
        results = get_results(params)
        results = json.dumps(results)

        if results:
            break
    if finished:
        for f in data.get('files'):
            download_file("%s" % f.get('url'), "%s" % f.get('filename'))
        return {"finished": "files downloaded"}

    return r.json()


resp = convert_files(api_url, params, headers)
get_results(resp)

curl -F "lang=en" -F "convert_to=image-backgroundremover" -F "files=@image.jpeg" -H "Authorization: YOUR_API_KEY" https://api.backgroundremoverai.com/v1/convert/

{"uuid": "conversion_uuid"}

curl -F "uuid=conversion_uuid" https://api.backgroundremoverai.com/v1/results/

{"files": [{"url": "/path/to/file.png", "filename": "file.png"}], "failed": [], "finished": true, "queue_count": 0, "errors": []}

<?php
ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ERROR | E_PARSE);

$headers = array("Authorization: YOUR_API_KEY");
$file_list = ['/path/to/files/image.jpeg'];
$api_url = "https://api.backgroundremoverai.com/v1/convert/";
$results_url = "https://api.backgroundremoverai.com/v1/results/";

function download_file($url, $filename){
    $curl = curl_init();
    $url = "https://api.backgroundremoverai.com" . $url;
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_SSLVERSION, 3);
    $data = curl_exec($curl);
    $error = curl_error($curl);
    curl_close ($curl);
    $destination_path = "/path/to/result/files/";
    $destination_file = fopen($destination_path . $filename, "w+");
    fwrite($destination_file, $data);
    fclose($destination_file);
}

function convert_files($file_list, $headers, $api_url) {
    $post_data['lang'] = 'en';
    $post_data['convert_to'] = 'image-backgroundremover';
    $post_data['model'] = 'u2net';
    $post_data['alpha_matting'] = 'true';

    foreach ($file_list as $index => $file) {
        $post_data['file[' . $index . ']'] = curl_file_create(
            realpath($file),
            mime_content_type($file),
            basename($file)
        );
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $api_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = curl_exec($curl);
    curl_close($curl);

    return json_decode($content);
}

function get_results($params, $results_url, $headers) {
    if ($params->error) {
        print_r($params->error);
        return;
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $results_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, json_decode(json_encode($params), true));
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = json_decode(curl_exec($curl));
    curl_close($curl);

    if ($content->finished == false) {
        if (intval($content->queue_count) > 0) {
            print_r("queue: $content->queue_count");
        }

        sleep(5);
        $results = get_results($params, $results_url, $headers);
        return;
    }

    foreach ($content->files as $f) {
        download_file($f->url, $f->filename);
    }
}

$resp = convert_files($file_list, $headers, $api_url);
get_results($resp, $results_url, $headers);
?>

const request = require('request');
const fs = require('fs');

let file_list = ['/testfiles/blah.jpeg']
const api_url = 'https://api.backgroundremoverai.com/v1/convert/'
const results_url = 'https://api.backgroundremoverai.com/v1/results/'

function convertFiles(file_list) {
    let formData = {
        'lang': 'en',
        'convert_to': 'image-backgroundremover',
        'model': 'u2net',
        'alpha_matting': 'true'
    };

    for (var i = 0; i < file_list.length; i ++) {
        formData['files'] = fs.createReadStream(file_list[i]);
    }

    request({
        url: api_url,
        method: 'post',
        formData: formData,
        headers: {
            "Authorization": "YOUR_API_KEY",
            "Content-Type": "multipart/form-data",
        }
    }, function(err, res, body) {
        if (err) {
            console.error(err);
            return err;
        }
        getResults(JSON.parse(body));
    });
}

function getResults(data) {
    if (data.error) {
        console.error(data);
        return data.error;
    }
    request({
        url: results_url,
        method: 'post',
        formData: data
    }, function(e, r, body) {
        response = JSON.parse(body);
        console.log(response);
        if (!response.finished) {
            setTimeout(
                function() {
                    getResults(data);
                }, 1000
            );
        }

        console.log(response);
    })
}

convertFiles(file_list);

using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    static readonly HttpClient client = new HttpClient();

    static async Task Main()
    {
        client.DefaultRequestHeaders.Add("Authorization", "YOUR_API_KEY");
        var form = new MultipartFormDataContent();
        form.Add(new StringContent("en"), "lang");
        form.Add(new StringContent("image-backgroundremover"), "convert_to");
        form.Add(new StringContent("u2net"), "model");
        form.Add(new StringContent("true"), "alpha_matting");
        form.Add(new ByteArrayContent(File.ReadAllBytes("testfiles/image.jpeg")),
            "files", "image.jpeg");

        var response = await client.PostAsync(
            "https://api.backgroundremoverai.com/v1/convert/",
            form
        );
        var result = await response.Content.ReadAsStringAsync();
        var data = JsonConvert.DeserializeObject<dynamic>(result);

        while (!(bool)data.finished)
        {
            await Task.Delay(5000);
            var pollContent = new FormUrlEncodedContent(new[] {
                new KeyValuePair<string, string>("uuid", (string)data.uuid)
            });
            response = await client.PostAsync(
                "https://api.backgroundremoverai.com/v1/results/",
                pollContent
            );
            result = await response.Content.ReadAsStringAsync();
            data = JsonConvert.DeserializeObject<dynamic>(result);
        }

        foreach (var file in data.files)
        {
            Console.WriteLine(file.url);
        }
    }
}

Ibabalik ng API ang path papunta sa naprosesong file.

/path/to/local/file_processed.png

Para maproseso ang maraming file, magsama ng maraming file sa iisang kahilingan. Ang bawat file ay ipoproseso at ibabalik nang hiwalay.

Alisin ang background ng video

import requests
import time
import shutil
import json

headers = {'Authorization': 'YOUR_API_KEY'}
file_list = ['testfiles/video.mp4']
params = {
    'lang': 'en',
    'convert_to': 'video-backgroundremover',
    'model': 'u2net',
    'video_format': 'mov',
    'alpha_matting': 'true',
}
api_domain = "api.backgroundremoverai.com"
port = "https"
api_url = f"{port}://{api_domain}/v1/convert/"
results_url = f"{port}://{api_domain}/v1/results/"


def download_file(url, local_filename):
    with requests.get(f"{port}://{api_domain}{url}", stream=True) as r:
        with open(local_filename, 'wb') as f:
            shutil.copyfileobj(r.raw, f)
    return local_filename


def convert_files(api_url, params, headers):
    files = [eval(f'("files", open("{file}", "rb"))') for file in file_list]
    r = requests.post(
        url=api_url,
        files=files,
        data=params,
        headers=headers
    )
    if r.status_code != 200:
        print(r.status_code)
        print(r.content)
        return

    return r.json()


def get_results(params):
    if params.get('error'):
        return params.get('error')

    r = requests.post(
        url=results_url,
        data=params
    )
    data = r.json()
    finished = data.get('finished')

    while not finished:
        if int(data.get('queue_count')) > 0:
            print('queue: %s' % data.get('queue_count'))

        time.sleep(5)
        results = get_results(params)
        results = json.dumps(results)

        if results:
            break
    if finished:
        for f in data.get('files'):
            download_file("%s" % f.get('url'), "%s" % f.get('filename'))
        return {"finished": "files downloaded"}

    return r.json()


resp = convert_files(api_url, params, headers)
get_results(resp)

curl -F "lang=en" -F "convert_to=video-backgroundremover" \
     -F "files=@video.mp4" \
     -H "Authorization: YOUR_API_KEY" https://api.backgroundremoverai.com/v1/convert/

{"uuid": "conversion_uuid"}

curl -F "uuid=conversion_uuid" https://api.backgroundremoverai.com/v1/results/

{"files": [{"url": "/path/to/file.mov", "filename": "file.mov"}], "failed": [], "finished": true, "queue_count": 0, "errors": []}

<?php
ini_set('display_errors', 1);
ini_set('display_startup_errors', 1);
error_reporting(E_ERROR | E_PARSE);

$headers = array("Authorization: api_key");
$file_list = ['/path/to/files/blah.mp4'];
$api_url = "https://api.backgroundremoverai.com/v1/convert/";
$results_url = "https://api.backgroundremoverai.com/v1/results/";

function download_file($url, $filename){
    $curl = curl_init();
    $url = "https://api.backgroundremoverai.com" . $url;
    curl_setopt($curl, CURLOPT_URL, $url);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);
    curl_setopt($curl, CURLOPT_SSLVERSION, 3);
    $data = curl_exec($curl);
    $error = curl_error($curl);
    curl_close ($curl);
    $destination_path = "/path/to/result/files/";
    $destination_file = fopen($destination_path . $filename, "w+");
    fwrite($destination_file, $data);
    fclose($destination_file);
}

function convert_files($file_list, $headers, $api_url) {
    $post_data['lang'] = 'en';
    $post_data['convert_to'] = 'video-backgroundremover';

    foreach ($file_list as $index => $file) {
        $post_data['file[' . $index . ']'] = curl_file_create(
            realpath($file),
            mime_content_type($file),
            basename($file)
        );
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $api_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, $post_data);
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = curl_exec($curl);
    curl_close($curl);

    return json_decode($content);
}

function get_results($params, $results_url, $headers) {
    if ($params->error) {
        print_r($params->error);
        return;
    }

    $curl = curl_init();
    curl_setopt($curl, CURLOPT_URL, $results_url);
    curl_setopt($curl, CURLOPT_HTTPHEADER, $headers);
    curl_setopt($curl, CURLOPT_POST, 1);
    curl_setopt($curl, CURLOPT_POSTFIELDS, json_decode(json_encode($params), true));
    curl_setopt($curl, CURLOPT_FOLLOWLOCATION, true);
    curl_setopt($curl, CURLOPT_RETURNTRANSFER, true);
    $content = json_decode(curl_exec($curl));
    curl_close($curl);

    if ($content->finished == false) {
        if (intval($content->queue_count) > 0) {
            print_r("queue: $content->queue_count");
        }

        sleep(5);
        $results = get_results($params, $results_url, $headers);
        return;
    }

    foreach ($content->files as $f) {
        download_file($f->url, $f->filename);
    }
}

$resp = convert_files($file_list, $headers, $api_url);
get_results($resp, $results_url, $headers);
?>

const request = require('request');
const fs = require('fs');

let file_list = ['/testfiles/blah.mp4']
const api_url = 'https://api.backgroundremoverai.com/v1/convert/'
const results_url = 'https://api.backgroundremoverai.com/v1/results/'

function convertFiles(file_list) {
    let formData = {
        'lang': 'en',
        'convert_to': 'video-backgroundremover'
    };

    for (var i = 0; i < file_list.length; i ++) {
        formData['files'] = fs.createReadStream(file_list[i]);
    }

    request({
        url: api_url,
        method: 'post',
        formData: formData,
        headers: {
            "Authorization": "YOUR_API_KEY",
            "Content-Type": "multipart/form-data",
        }
    }, function(err, res, body) {
        if (err) {
            console.error(err);
            return err;
        }
        getResults(JSON.parse(body));
    });
}

function getResults(data) {
    if (data.error) {
        console.error(data);
        return data.error;
    }
    request({
        url: results_url,
        method: 'post',
        formData: data
    }, function(e, r, body) {
        response = JSON.parse(body);
        console.log(response);
        if (!response.finished) {
            setTimeout(
                function() {
                    getResults(data);
                }, 1000
            );
        }

        console.log(response);
    })
}

convertFiles(file_list);

using System;
using System.IO;
using System.Net.Http;
using System.Threading.Tasks;
using Newtonsoft.Json;

class Program
{
    static readonly HttpClient client = new HttpClient();

    static async Task Main()
    {
        client.DefaultRequestHeaders.Add("Authorization", "YOUR_API_KEY");
        var form = new MultipartFormDataContent();
        form.Add(new StringContent("en"), "lang");
        form.Add(new StringContent("video-backgroundremover"), "convert_to");
        form.Add(new StringContent("u2net"), "model");
        form.Add(new StringContent("mov"), "video_format");
        form.Add(new StringContent("true"), "alpha_matting");
        form.Add(new ByteArrayContent(File.ReadAllBytes("testfiles/video.mp4")),
            "files", "video.mp4");

        var response = await client.PostAsync(
            "https://api.backgroundremoverai.com/v1/convert/",
            form
        );
        var result = await response.Content.ReadAsStringAsync();
        var data = JsonConvert.DeserializeObject<dynamic>(result);

        while (!(bool)data.finished)
        {
            await Task.Delay(5000);
            var pollContent = new FormUrlEncodedContent(new[] {
                new KeyValuePair<string, string>("uuid", (string)data.uuid)
            });
            response = await client.PostAsync(
                "https://api.backgroundremoverai.com/v1/results/",
                pollContent
            );
            result = await response.Content.ReadAsStringAsync();
            data = JsonConvert.DeserializeObject<dynamic>(result);
        }

        foreach (var file in data.files)
        {
            Console.WriteLine(file.url);
        }
    }
}

Ibabalik ng API ang path papunta sa naprosesong file.

/path/to/local/file_processed.mov
/path/to/local/file_processed.gif

Para maproseso ang maraming file, magsama ng maraming file sa iisang kahilingan. Ang bawat file ay ipoproseso at ibabalik nang hiwalay.