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import gradio as gr
from PIL import Image
import cv2
def merge_images(image1, image2, method="concatenate"):
"""
Merges two images using the specified method.
Args:
image1 (PIL.Image): The first image.
image2 (PIL.Image): The second image.
method (str, optional): The method for merging. Defaults to "concatenate".
Supported methods:
- "concatenate": Concatenates the images horizontally.
- "average": Creates an average blend of the two images.
- "custom": Allows for custom logic using (image1, image2) as input.
Returns:
PIL.Image: The merged image.
"""
# img1 = cv2.resize(image1, (512,512))
# img2 = cv2.resize(image2, (512,512))
# img = img1*0.5 + img2*0.5
# img1 = image1.astype('float32')
# img2 = image2.astype('float32')
# img = 0.5*img1 + 0.5*img2
# img = img.astype('uint8')
image1 = image1.resize((426, 240))
image1_size = image1.size
image2_size = image2.size
new_image = Image.new('RGB',(2*image1_size[0], image1_size[1]), (250,250,250))
new_image.paste(image1,(0,0))
new_image.paste(image2,(image1_size[0],0))
return new_image
#attribute add
# Allow selection of merge method with a dropdown
# elem_id="merge-method",
# elem_attrs={"merge-method": {"type": "dropdown", "choices": ["concatenate", "average", "custom"]}},
# Define Gradio interface
interface = gr.Interface(
fn=merge_images,
inputs=[gr.Image(label="Image 1", type="pil"), gr.Image(label="Image 2", type="pil")],
outputs="image",
title="Image Merger",
description="Merge two uploaded images using the selected method."
)
interface.launch()
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