import gradio as gr from maskformer import Mask2FormerSegmenter from inpainter import Inpainter import os from tqdm import tqdm from PIL import Image def process_image(image1, image2, refine='False'): """ Process a pair of images to swap their backgrounds. image1: PIL image of the first image. image2: PIL image of the second image. refine: if True, use an additional network in the inpainter to refine the background.\ useful in high-resolution images and large inpainting masks. It takes longer to run.""" segmenter = Mask2FormerSegmenter() segmenter.load_models(checkpoint_name = "facebook/mask2former-swin-large-ade-semantic") inpainter = Inpainter({'scale_factor': None, 'pad_out_to_modulo': 8, 'predict': {'out_key': 'inpainted'}}) inpainter.load_model_from_checkpoint('big-lama', 'best.ckpt') fg_img1, mask_img1 = segmenter.retrieve_fg_image_and_mask(image1, verbose=False) new_bg_img1 = inpainter.inpaint_img(image1, mask_img1, refine=refine) fg_img2, mask_img2 = segmenter.retrieve_fg_image_and_mask(image2, verbose=False) new_bg_img2 = inpainter.inpaint_img(image2, mask_img2, refine=refine) image_a = Image.alpha_composite(new_bg_img2.convert('RGBA'), fg_img1) image_b = Image.alpha_composite(new_bg_img1.convert('RGBA'), fg_img2) return image_a, image_b def run_gradio_fn(image1, image2, refine=False): """ Run the background swapper app on a pair of images.""" img1 = Image.fromarray(image1.astype('uint8'), 'RGB') img2 = Image.fromarray(image2.astype('uint8'), 'RGB') return process_image(img1, img2, refine) iface = gr.Interface( fn=run_gradio_fn, inputs=["image", "image", gr.inputs.Checkbox(label="Use Refiner on background")], outputs=["image", "image"], title="Background Swapper App", description="Upload two images to see their backgrounds swapped. \ The first image will have the background of the second image, and vice versa. \ Refiner option: Uses an additional network in the inpainter to refine the background.\ Useful in high-resolution images and large inpainting masks. \ It takes about 20s longer to run on 1024x1024", ) iface.launch()