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import gradio as gr
from skimage import io
from pyxelate import Pyx, Pal
from uuid import uuid1
from PIL import Image
import os
def pixel(image,downsample,palette,depth,upscale):
#image = io.imread(image.name)
path = "{}.png".format(uuid1())
Image.fromarray(image).save(path)
image = io.imread(path)
os.remove(path)
downsample_by = int(downsample) # new image will be 1/14th of the original in size
palette = int(palette) # find 7 colors
# 1) Instantiate Pyx transformer
pyx = Pyx(factor=downsample_by, palette=palette,depth=int(depth),upscale = int(upscale))
# 2) fit an image, allow Pyxelate to learn the color palette
pyx.fit(image)
# 3) transform image to pixel art using the learned color palette
new_image = pyx.transform(image)
# save new image with 'skimage.io.imsave()'
io.imsave("pixel.png", new_image)
return "pixel.png"
title = "Pixelar Imagen"
description = ""
article = ""
with gr.Blocks() as demo:
gr.HTML("<h1><center> 🔥 Pixelar Imagen </center></h1>")
with gr.Column():
input_image = gr.Image(label="Input")
downsample = gr.Number(default=4, label="downsample by")
palette = gr.Number(default=7, label="palette")
depth = gr.Number(default=1, label="depth")
upscale = gr.Number(default=4, label="upscale")
with gr.Column():
output_image = gr.Image(label="Output")
gr.Examples(
[
['mona.jpeg',14,7,1, 4]
],
inputs = [input_image, downsample, palette, depth, upscale]
)
demo.launch()
'''
gr.Interface(
pixel,
[gr.Image(label="Input"),
gr.Number(default=4, label="downsample by"),
gr.Number(default=7, label="palette"),
gr.Number(default=1, label="depth"),
gr.Number(default=14, label="upscale")
],
gr.Image(label="Output"),
title=title,
description=description,
article=article,
examples=[['mona.jpeg',14,7,1,14]],
css="footer {visibility: hidden}"
).launch(enable_queue=True)
gr.Interface(
pixel,
[gr.inputs.Image(type="file", label="Input", shape=(512,512)),gr.inputs.Number(default=14, label="downsample by"),gr.inputs.Number(default=7, label="palette"),gr.inputs.Number(default=1, label="depth"),gr.inputs.Number(default=14, label="upscale")
],
gr.outputs.Image(type="file", label="Output"),
title=title,
description=description,
article=article,
examples=[['mona.jpeg',14,7,1,14]],
css="footer {visibility: hidden}"
).launch(enable_queue=True)
''' |