A API de eliminación de fondos permíteche integrar a eliminación de fondos con tecnoloxía de IA nas túas aplicacións. Elimina fondos de imaxes e vídeos mediante programación con chamadas sinxelas á API REST.
Para comezar, rexístrate para obter unha clave API en Portal para desenvolvedores
Authorization: <api_key>
Referencia de parámetros da API
Os seguintes parámetros pódense incluír nas túas solicitudes da API. Todas as subidas de ficheiros admiten ficheiros grandes sen límite de tamaño práctico.
Parámetros de procesamento de imaxes
| Parámetro | Tipo | Predeterminado | Descrición |
|---|---|---|---|
convert_to | string | requirido | Definir como removedor-de-fondo-da-imaxe |
model | string | u2net | Modelo de IA: u2net (obxectos/humanos/cousas xerais), u2net_human_seg (optimizado para persoas), u2netp (rápido/lixeiro) |
alpha_matting | boolean | false | Activa o mate alfa para obter bordos máis nítidos no cabelo e detalles finos |
alpha_fg | int | 240 | Limiar de primeiro plano (0-255). Maior = detección de primeiro plano máis estrita |
alpha_bg | int | 10 | Limiar de fondo (0-255). Máis baixo = detección de fondo máis estrita |
alpha_erode | int | 10 | Tamaño da erosión do bordo (1-25). Controla a nitidez do bordo |
alpha_base_size | int | 1000 | Tamaño base para o procesamento de pasamanos alfa. Maior = mellor calidade pero máis lento |
only_mask | boolean | false | Devolver a máscara branca/negra en lugar da imaxe transparente |
bg_type | string | transparent | Tipo de fondo: transparente, cor ou imaxe |
bg_color_value | string | #ffffff | Cor de fondo en formato hexadecimal (cando bg_type=color) |
Parámetros de procesamento de vídeo
| Parámetro | Tipo | Predeterminado | Descrición |
|---|---|---|---|
convert_to | string | requirido | Definir como eliminador de fondo de vídeo |
model | string | u2net | Modelo de IA: u2net (xeral), u2net_human_seg (persoas), u2netp (rápido) |
video_format | string | mov | Formato de saída: mov (transparente), mattekey (mp4 mate), gif (animado), vídeo_sobre_imaxe, vídeo_sobre_vídeo, gif_con_bg, mp4_con_cor |
alpha_matting | boolean | false | Activar o mate alfa para bordos máis nítidos |
alpha_fg | int | 240 | Limiar de primeiro plano (0-255) |
alpha_bg | int | 10 | Limiar de fondo (0-255) |
alpha_erode | int | 10 | Tamaño da erosión do bordo (1-25) |
alpha_base_size | int | 1000 | Tamaño base para o procesamento de mate alfa |
video_bg_color_enabled | boolean | false | Activar fondo de cor sólida (para o formato mp4_with_color) |
video_bg_color | string | #00ff00 | Cor de fondo en formato hexadecimal |
framerate | int | auto | Taxa de fotogramas de saída personalizada (1-60 FPS). Déixeo en branco para que coincida co vídeo de entrada |
frame_limit | int | none | Limitar o procesamento aos primeiros N fotogramas. Útil para probar ou crear clips |
Eliminar o fondo da imaxe
Eliminar o fondo da imaxe
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);
A API devolverá a ruta ao ficheiro procesado.
/path/to/local/file_processed.png
Para procesar varios ficheiros, inclúa varios ficheiros nunha única solicitude. Cada ficheiro procesarase e devolverase por separado.
Eliminar o fondo do vídeo
Eliminar o fondo do vídeo
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);
A API devolverá a ruta ao ficheiro procesado.
/path/to/local/file_processed.mov
/path/to/local/file_processed.gif
Para procesar varios ficheiros, inclúa varios ficheiros nunha única solicitude. Cada ficheiro procesarase e devolverase por separado.
