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# Copyright 2023-2025 Marigold Team, ETH Zürich. All rights reserved.
# Licensed under the Apache License, Version 2.0
# DualVision is a Gradio template app for image processing, developed to
# support the Marigold project: https://marigoldcomputervision.github.io
import gradio as gr
from PIL import Image, ImageFilter
from gradio_dualvision import DualVisionApp
class ImageFiltersApp(DualVisionApp):
DEFAULT_FILTER_SIZE = 15
def make_header(self):
"""
Create a header section with Markdown and HTML.
"""
gr.Markdown(
f"""
## {self.title}
<p align="center">
<a title="Github" href="https://github.com/toshas/gradio-dualvision" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
<img src="https://img.shields.io/github/stars/toshas/gradio-dualvision?label=GitHub%20%E2%98%85&logo=github&color=C8C" alt="badge-github-stars">
</a>
<a title="Social" href="https://twitter.com/antonobukhov1" target="_blank" rel="noopener noreferrer" style="display: inline-block;">
<img src="https://shields.io/twitter/follow/:?label=Subscribe%20for%20updates!" alt="social">
</a>
</p>
<p align="center" style="margin-top: 0px;">
Upload a photo or select an example to process the input in real time.
Use the slider to reveal areas of interest.
Use the radio-buttons to switch between modalities.
</p>
"""
)
def build_user_components(self):
"""
Create gradio components for the Advanced Settings dropdown, that will be passed into the `process` method.
Use gr.Row(), gr.Column(), and other context managers to arrange the components. Return them as a flat dict.
"""
with gr.Column():
filter_size = gr.Slider(
minimum=1,
maximum=51,
value=self.DEFAULT_FILTER_SIZE,
step=2,
label="Filter size",
)
return {
"filter_size": filter_size,
}
def process(self, image_in: Image.Image, **kwargs):
"""
Process an input image into multiple modalities using the provided arguments or default settings.
Returns two dictionaries: one containing the modalities and another with the actual settings.
"""
filter_size = kwargs.get("filter_size", self.DEFAULT_FILTER_SIZE)
image_out_gray = image_in.convert("L")
image_out_gaussian = image_in.filter(ImageFilter.GaussianBlur(filter_size // 2))
image_out_median = image_in.filter(ImageFilter.MedianFilter(filter_size))
out_modalities = {
"Gray": image_out_gray,
"Gaussian": image_out_gaussian,
"Median": image_out_median,
}
out_settings = {
"filter_size": filter_size,
}
return out_modalities, out_settings
with ImageFiltersApp(
title="Gradio DualVision",
examples_path="examples",
examples_per_page=5,
squeeze_canvas=True,
) as demo:
demo.queue(
api_open=False,
).launch(
server_name="0.0.0.0",
server_port=7860,
)
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