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import gradio as gr
import numpy as np
from src.part1 import create_Gaussian_kernel, create_hybrid_image
input_pictures_examples = [
["./data/1a_dog.bmp", "./data/1b_cat.bmp", 5],
["./data/2a_motorcycle.bmp", "./data/2b_bicycle.bmp", 5],
["./data/3a_plane.bmp", "./data/3b_bird.bmp", 5],
["./data/4a_einstein.bmp", "./data/4b_marilyn.bmp", 5],
["./data/5a_submarine.bmp", "./data/5b_fish.bmp", 5],
["./data/Message+1.png", "./data/Message+2.png", 5],
]
def action_hybrid_image(a, b, c):
# check input is None
if a is None or b is None or c is None:
return None, None, None
l, h, lh = create_hybrid_image(a / 255, b / 255, c / 255)
l, h, lh = (l * 255).astype(np.uint8), ((h + 0.5) * 255).astype(np.uint8), (lh * 255).astype(np.uint8),
return l, h, lh, lh, lh, lh, lh, lh
with gr.Blocks(theme=gr.themes.Soft()) as app:
gr.Markdown("## Input")
with gr.Row() as uploader:
# allow user to upload 2 images TODO: Limit picture size, button: exchange pictures
image1 = gr.Image(label="Image 1 (Low Frequency)", interactive=True)
# Gaussian Kernel
with gr.Column() as k:
# allow user to select a cutoff frequency
cutoff = gr.Slider(1, 7, 5, step=1, label="Cutoff Frequency")
# display the kernel
kernel = gr.Image(label="Kernel", image_mode="L")
image2 = gr.Image(label="Image 2 (High Frequency)", interactive=True)
cutoff.release(create_Gaussian_kernel,
inputs=cutoff, outputs=kernel, api_name="draw_gaussian_kernel")
submit = gr.Button("Submit", variant="primary")
gr.Markdown("## Output")
# output
with gr.Row() as output:
low_frequencies = gr.Image(label="Low Frequencies")
hybrid_image = gr.Image(label="Hybrid Image")
high_frequencies = gr.Image(label="High Frequencies")
gr.Markdown("## Outputs In Different Sizes")
with gr.Row() as output:
hybrid_large = gr.Image(label="Large", show_label=False).style(height=400, width=400)
hybrid_medium = gr.Image(label="Medium", show_label=False).style(height=300, width=300)
hybrid_small = gr.Image(label="Small", show_label=False).style(height=200, width=200)
hybrid_tiny = gr.Image(label="Tiny", show_label=False).style(height=100, width=100)
hybrid_super_tiny = gr.Image(label="Super Tiny", show_label=False).style(height=50, width=50)
submit.click(
action_hybrid_image,
inputs=[image1, image2, kernel],
outputs=[
low_frequencies, high_frequencies, hybrid_image,
hybrid_large, hybrid_medium, hybrid_small, hybrid_tiny, hybrid_super_tiny
]
)
gr.Markdown("## Use Examples")
gr.Examples(
examples=input_pictures_examples,
inputs=[image1, image2, cutoff],
# outputs=txt_3,
# fn=combine,
# cache_examples=True, # cache examples to local storage
)
app.launch()