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import io
import gradio as gr
from PIL import Image
import vtracer
import tempfile
def convert_image(image, color_mode, hierarchical, mode, filter_speckle,
color_precision, layer_difference, corner_threshold,
length_threshold, max_iterations, splice_threshold, path_precision):
"""Converts an image to SVG using vtracer with customizable parameters."""
# Convert Gradio image to bytes for vtracer compatibility
img_byte_array = io.BytesIO()
image.save(img_byte_array, format='PNG')
img_bytes = img_byte_array.getvalue()
# Perform the conversion
svg_str = vtracer.convert_raw_image_to_svg(
img_bytes,
img_format='png',
colormode=color_mode.lower(),
hierarchical=hierarchical.lower(),
mode=mode.lower(),
filter_speckle=int(filter_speckle),
color_precision=int(color_precision),
layer_difference=int(layer_difference),
corner_threshold=int(corner_threshold),
length_threshold=float(length_threshold),
max_iterations=int(max_iterations),
splice_threshold=int(splice_threshold),
path_precision=int(path_precision)
)
# Save the SVG string to a temporary file
temp_file = tempfile.NamedTemporaryFile(delete=False, suffix='.svg')
temp_file.write(svg_str.encode('utf-8'))
temp_file.close()
return gr.HTML(f'<svg viewBox="0 0 {image.width} {image.height}">{svg_str}</svg>'), temp_file.name
# Gradio interface
iface = gr.Blocks()
with iface:
gr.Interface(
fn=convert_image,
inputs=[
gr.Image(type="pil", label="Upload Image"),
gr.Radio(choices=["Color", "Binary"], value="Color", label="Color Mode"),
gr.Radio(choices=["Stacked", "Cutout"], value="Stacked", label="Hierarchical"),
gr.Radio(choices=["Spline", "Polygon", "None"], value="Spline", label="Mode"),
gr.Slider(minimum=1, maximum=10, value=4, step=1, label="Filter Speckle"),
gr.Slider(minimum=1, maximum=8, value=6, step=1, label="Color Precision"),
gr.Slider(minimum=1, maximum=32, value=16, step=1, label="Layer Difference"),
gr.Slider(minimum=10, maximum=90, value=60, step=1, label="Corner Threshold"),
gr.Slider(minimum=3.5, maximum=10, value=4.0, step=0.5, label="Length Threshold"),
gr.Slider(minimum=1, maximum=20, value=10, step=1, label="Max Iterations"),
gr.Slider(minimum=10, maximum=90, value=45, step=1, label="Splice Threshold"),
gr.Slider(minimum=1, maximum=10, value=8, step=1, label="Path Precision")
],
outputs=[
gr.HTML(label="SVG Output"),
gr.File(label="Download SVG")
],
title="Convert Image to SVG vectors",
description="Upload an image and customize the conversion parameters as needed.<br><h2>Support me USDT (TRC-20): TAe7hsSVWtMEYz3G5V1UiUdYPQVqm28bKx</h2>",
)
iface.launch() |