Update README.md
Browse files
README.md
CHANGED
@@ -1,3 +1,48 @@
|
|
1 |
-
---
|
2 |
-
license: apache-2.0
|
3 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: apache-2.0
|
3 |
+
---
|
4 |
+
# AI Photo Background Removal Model
|
5 |
+
|
6 |
+
This repository contains an AI model for removing or changing the background of photos. The model processes images and can replace the background with various colors or make it transparent.
|
7 |
+
|
8 |
+
## Model Overview
|
9 |
+
|
10 |
+
The model uses advanced image processing techniques to detect and remove the background from photos. It can handle multiple background options including transparent (PNG), white, black, green, red, and blue.
|
11 |
+
|
12 |
+
## Usage
|
13 |
+
|
14 |
+
### Loading the Model
|
15 |
+
|
16 |
+
You can load the model using the `huggingface_hub` library:
|
17 |
+
|
18 |
+
```python
|
19 |
+
from huggingface_hub import from_pretrained
|
20 |
+
import base64
|
21 |
+
from PIL import Image
|
22 |
+
from io import BytesIO
|
23 |
+
|
24 |
+
# Load the model
|
25 |
+
model = from_pretrained("your_username/background_remover")
|
26 |
+
|
27 |
+
# Encode your image
|
28 |
+
def encode_image(image_path):
|
29 |
+
with open(image_path, "rb") as img_file:
|
30 |
+
return base64.b64encode(img_file.read()).decode('utf-8')
|
31 |
+
|
32 |
+
# Decode the image
|
33 |
+
def decode_image(image_base64):
|
34 |
+
img_data = base64.b64decode(image_base64)
|
35 |
+
img = Image.open(BytesIO(img_data))
|
36 |
+
return img
|
37 |
+
|
38 |
+
# Example usage
|
39 |
+
input_image_path = "path/to/your/input_image.jpg"
|
40 |
+
encoded_image = encode_image(input_image_path)
|
41 |
+
background_color = "Transparent (PNG)"
|
42 |
+
|
43 |
+
# Process the image using the model
|
44 |
+
processed_image_base64 = model.process_image(encoded_image, background_color)
|
45 |
+
|
46 |
+
# Decode and display the processed image
|
47 |
+
processed_image = decode_image(processed_image_base64)
|
48 |
+
processed_image.show()
|