---
title: Inno Background Remover
emoji: 🪄
colorFrom: pink
colorTo: purple
sdk: gradio
sdk_version: "4.19.2"
app_file: app.py
pinned: false
---

# 🪄 Inno RMBG Removal v1.0

This Space runs a custom-trained image background removal model using PyTorch and ONNX.  
It performs pixel-wise background removal on input images with high accuracy using a Gradio interface.

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## ✨ Model Highlights

- Trained on diverse images of objects, people, and scenes.
- Outputs a binary mask of the foreground.
- Works with `.pth` and ONNX formats.
- Useful for background replacement or transparent cutouts.

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## 📦 Input / Output

**Input Image:**

![example input](example_input.jpg)

**Output (no background):**

![result](results.png)

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## 🧪 How It Works

1. Upload an image using the UI.
2. The model generates a mask for the foreground.
3. The output is a transparent PNG or white background version.

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## ⚙️ Inference Code (example)

```python
from PIL import Image
from utilities import preprocess_image, postprocess_image, load_model

model = load_model("model.pth")
image = Image.open("example_input.jpg")
mask = model.predict(image)
image.putalpha(mask)
image.save("output.png")