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const axios = require('axios');
const fs = require('fs');
const path = require('path');
async function toB64(imgPath) {
const data = fs.readFileSync(path.resolve(imgPath));
return Buffer.from(data).toString('base64');
}
const api_key = "YOUR API-KEY";
const url = "https://api.segmind.com/v1/background-eraser";
const data = {
"image": "toB64('https://segmind-sd-models.s3.amazonaws.com/display_images/background-eraser-ip.png')",
"return_mask": true,
"invert_mask": false,
"grow_mask": 0,
"base64": false
};
(async function() {
try {
const response = await axios.post(url, data, { headers: { 'x-api-key': api_key } });
console.log(response.data);
} catch (error) {
console.error('Error:', error.response.data);
}
})();
upload your input image
Check this to obtain the mask as the output.
Refers to inverting the mask.
Selectively expand image regions
min : 0,
max : 50
Base64 encoding of the output image.
To keep track of your credit usage, you can inspect the response headers of each API call. The x-remaining-credits property will indicate the number of remaining credits in your account. Ensure you monitor this value to avoid any disruptions in your API usage.
Background Eraser is a cutting-edge background removal AI model which shows exceptional accuracy, efficiency, and versatility in separating foreground from background. This powerful tool is trained on a meticulously curated dataset encompassing diverse categories, which makes the background eraser model to deliver superior results across various content creation use-cases.
Here's what makes Background Eraser model the perfect background removal partner for your projects:
Unmatched Precision: Background Eraser meticulously separates foreground objects from their backgrounds, ensuring clean and precise cutouts.
Blazing Speed: It operates with exceptional efficiency, saving you valuable time and resources during high-volume content creation.
Genre-Bending Versatility: The model can seamlessly to diverse image types, consistently delivering flawless results.