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Running
on
Zero
Running
on
Zero
File size: 1,413 Bytes
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import torch
from torchvision import transforms
from PIL import Image
import logging
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
transform_image = transforms.Compose(
[
transforms.Resize((1024, 1024)),
transforms.ToTensor(),
transforms.Normalize([0.485, 0.456, 0.406], [0.229, 0.224, 0.225]),
]
)
def process_image(image, birefnet, device="cuda"):
"""Processes the input image to remove the background.
Args:
image (PIL.Image.Image): The image to process.
birefnet (torch.nn.Module): The BiRefNet model.
device (str): The device to run the model on (default: "cuda").
Returns:
PIL.Image.Image: The processed image with background removed.
"""
try:
image_size = image.size
input_images = transform_image(image).unsqueeze(0).to(device)
# Prediction
with torch.no_grad():
preds = birefnet(input_images)[-1].sigmoid().cpu()
pred = preds[0].squeeze()
pred_pil = transforms.ToPILImage()(pred)
mask = pred_pil.resize(image_size)
image.putalpha(mask)
logging.info("Image processed successfully.")
return image
except Exception as e:
logging.error(f"Error processing image: {e}")
raise Exception(f"Error processing image: {e}")
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