|
|
import PIL |
|
|
import torch |
|
|
import gradio as gr |
|
|
import os |
|
|
from process import load_seg_model, get_palette, generate_mask |
|
|
|
|
|
device = 'cpu' |
|
|
|
|
|
def read_content(file_path: str) -> str: |
|
|
with open(file_path, 'r', encoding='utf-8') as f: |
|
|
return f.read() |
|
|
|
|
|
def initialize_and_load_models(): |
|
|
checkpoint_path = 'model/cloth_segm.pth' |
|
|
return load_seg_model(checkpoint_path, device=device) |
|
|
|
|
|
net = initialize_and_load_models() |
|
|
palette = get_palette(4) |
|
|
|
|
|
def run(img): |
|
|
cloth_seg = generate_mask(img, net=net, palette=palette, device=device) |
|
|
return cloth_seg |
|
|
|
|
|
css = ''' |
|
|
.container {max-width: 1150px;margin: auto;padding-top: 1.5rem} |
|
|
#image_upload{min-height:400px} |
|
|
#image_upload [data-testid="image"], #image_upload [data-testid="image"] > div{min-height: 400px} |
|
|
.footer {margin-bottom: 45px;margin-top: 35px;text-align: center;border-bottom: 1px solid #e5e5e5} |
|
|
.footer>p {font-size: .8rem; display: inline-block; padding: 0 10px;transform: translateY(10px);background: white} |
|
|
.dark .footer {border-color: #303030} |
|
|
.dark .footer>p {background: #0b0f19} |
|
|
.acknowledgments h4{margin: 1.25em 0 .25em 0;font-weight: bold;font-size: 115%} |
|
|
#image_upload .touch-none{display: flex} |
|
|
''' |
|
|
|
|
|
image_dir = 'input' |
|
|
image_list = [os.path.join(image_dir, file) for file in os.listdir(image_dir)] |
|
|
image_list.sort() |
|
|
|
|
|
with gr.Blocks(css=css) as demo: |
|
|
gr.HTML(read_content("header.html")) |
|
|
|
|
|
input_method = gr.Radio( |
|
|
choices=["Upload Image", "Use Webcam"], |
|
|
label="Choose Input Method", |
|
|
value="Upload Image" |
|
|
) |
|
|
|
|
|
upload_image = gr.Image(label="Upload Image", type="pil", visible=True) |
|
|
webcam_input = gr.Camera(label="Webcam Image", visible=False) |
|
|
|
|
|
image_out = gr.Image(label="Output", elem_id="output-img") |
|
|
btn = gr.Button("Run!") |
|
|
|
|
|
|
|
|
gr.Examples( |
|
|
examples=image_list, |
|
|
inputs=[upload_image], |
|
|
label="Examples - Input Images", |
|
|
examples_per_page=12 |
|
|
) |
|
|
|
|
|
|
|
|
def toggle_inputs(choice): |
|
|
return ( |
|
|
gr.update(visible=choice == "Upload Image"), |
|
|
gr.update(visible=choice == "Use Webcam") |
|
|
) |
|
|
|
|
|
input_method.change( |
|
|
fn=toggle_inputs, |
|
|
inputs=input_method, |
|
|
outputs=[upload_image, webcam_input] |
|
|
) |
|
|
|
|
|
|
|
|
def conditional_run(uploaded, webcam, method): |
|
|
return run(uploaded if method == "Upload Image" else webcam) |
|
|
|
|
|
btn.click( |
|
|
fn=conditional_run, |
|
|
inputs=[upload_image, webcam_input, input_method], |
|
|
outputs=[image_out] |
|
|
) |
|
|
|
|
|
gr.HTML( |
|
|
""" |
|
|
<div class="footer"> |
|
|
<p>Model by <a href="" style="text-decoration: underline;" target="_blank">WildOctopus</a> - Gradio Demo by 🤗 Hugging Face</p> |
|
|
</div> |
|
|
<div class="acknowledgments"> |
|
|
<p><h4>ACKNOWLEDGEMENTS</h4></p> |
|
|
<p>U2net model is from original u2net repo. Thanks to <a href="https://github.com/xuebinqin/U-2-Net" target="_blank">Xuebin Qin</a>.</p> |
|
|
<p>Codes modified from <a href="https://github.com/levindabhi/cloth-segmentation" target="_blank">levindabhi/cloth-segmentation</a></p> |
|
|
</div> |
|
|
""" |
|
|
) |
|
|
|
