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from zipfile import ZipFile
import numpy as np
import os, shutil
import gradio as gr
from PIL import Image
import sys, os
from rembg import remove
def complete():
return "complete"
def clean(text_output):
if text_output=="complete":
print("clean up")
os.remove("objects.zip")
return ""
else:
pass
def run_rembg(img):
output = remove(img)
output_pil = Image.fromarray(output)
# Remove margins
cropped_image = output_pil.crop(output_pil.getbbox())
return cropped_image
def load_zip(inputs):
os.makedirs("objects", exist_ok=True)
image_data_dict = {}
with ZipFile(inputs[0].name, "r") as zip_file:
image_names = zip_file.namelist()
prefix = ""
for name in image_names:
if prefix=="":
prefix = name.split("/")[0]
else:
break
image_files = []
for image_name in image_names:
if image_name[-3:] in "pngjpg":
try:
with zip_file.open(image_name) as f:
image = Image.open(f)
image_files.append(image_name)
image_array = np.array(image)
image_name = image_name.split("/")[1]
image_data_dict[image_name] = image_array
except Exception as e:
print("Exception : ", e)
for image_name, image_data in image_data_dict.items():
output = remove(image_data)
output_pil = Image.fromarray(output)
# Remove margins
cropped_image = output_pil.crop(output_pil.getbbox())
image_name = image_name.replace("jpg", "png")
cropped_image.save(f"objects/{image_name}")
shutil.make_archive("objects", "zip", "objects")
shutil.rmtree("objects")
return "objects.zip", complete()
if __name__=="__main__":
with gr.Blocks() as demo:
with gr.Tab("Zip"):
gr.Markdown(
"""
<center><h1>Image Matting using U<sup>2</sup>-Net</h1></center>
"""
)
with gr.Row():
gr.Markdown(
"""
### Input Zip File
<img src='file/assets/input_zip.png' width="85%" height="85%">
"""
)
gr.Markdown(
"""
### Output Zip File
<img src='file/assets/output_zip.png' width="85%" height="85%">
"""
)
with gr.Row():
image_input = gr.File(file_count="multiple")
image_output = gr.File()
text_output = gr.Textbox(visible=False)
btn = gr.Button("Run!")
btn.click(
fn=load_zip,
inputs=image_input,
outputs=[image_output, text_output]
)
text_output.change(
fn=clean,
inputs=text_output,
outputs=text_output
)
with gr.Tab("Image"):
gr.Markdown(
"""
<center><h1>Image Matting using U<sup>2</sup>-Net</h1></center>
"""
)
with gr.Row():
gr.Markdown(
"""
### Input Image
<img src='file/assets/cat-3038243_1280.jpg' width="50%" height="50%">
"""
)
gr.Markdown(
"""
### Output Image
<img src='file/assets/objects/cat-3038243_1280.png' width="20%" height="20%">
"""
)
with gr.Row():
image_input = gr.Image(type="numpy")
image_output = gr.Image(type="pil")
btn = gr.Button("Run!")
btn.click(
fn=run_rembg,
inputs=image_input,
outputs=image_output,
api_name="imageMatting"
)
gr.Markdown(
"""
---
<b>Acknowledgments</b>
- Library
- Library Git hub : [danielgatis/rembg](https://github.com/danielgatis/rembg)
- Cloned on 2023/3/12
- Algorithm
- Library Git hub : [U<sup>2</sup>-Net](https://github.com/xuebinqin/U-2-Net)
- Image
- Cat Image from [Pixabay](https://pixabay.com/images/id-3038243/)
"""
)
demo.launch(
favicon_path="./assets/ハサミのフリーアイコン.png"
)
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