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license: apache-2.0 |
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# AI Photo Background Removal Model |
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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. |
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## Model Overview |
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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. |
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## Usage |
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### Loading the Model |
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You can load the model using the `huggingface_hub` library: |
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```python |
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from huggingface_hub import from_pretrained |
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import base64 |
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from PIL import Image |
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from io import BytesIO |
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# Load the model |
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model = from_pretrained("your_username/background_remover") |
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# Encode your image |
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def encode_image(image_path): |
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with open(image_path, "rb") as img_file: |
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return base64.b64encode(img_file.read()).decode('utf-8') |
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# Decode the image |
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def decode_image(image_base64): |
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img_data = base64.b64decode(image_base64) |
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img = Image.open(BytesIO(img_data)) |
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return img |
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# Example usage |
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input_image_path = "path/to/your/input_image.jpg" |
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encoded_image = encode_image(input_image_path) |
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background_color = "Transparent (PNG)" |
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# Process the image using the model |
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processed_image_base64 = model.process_image(encoded_image, background_color) |
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# Decode and display the processed image |
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processed_image = decode_image(processed_image_base64) |
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processed_image.show() |
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