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import gradio as gr
from SegCloth import segment_clothing
# Define items for each category, including Background
CATEGORY_ITEMS = {
"Background": ["Background"],
"Clothes": ["Hat", "Upper-clothes", "Skirt", "Pants", "Dress", "Belt", "Left-shoe", "Right-shoe", "Scarf"],
"Face": ["Face", "Sunglasses"],
"Hair": ["Hair"],
"Skin": ["Left-arm", "Right-arm", "Left-leg", "Right-leg"]
}
def segment(image, categories_to_hide):
# Get the items based on the selected categories
selected_items = []
for category in categories_to_hide:
selected_items.extend(CATEGORY_ITEMS.get(category, []))
return segment_clothing(image, selected_items)
iface = gr.Interface(
fn=segment,
inputs=[
gr.Image(type='pil', label='Image'),
# Category Selection CheckboxGroup including Background
gr.CheckboxGroup(choices=["Background", "Clothes", "Face", "Hair", "Skin"],
label='Select Categories',
value=["Background", "Clothes", "Face", "Hair", "Skin"]) # Default selection
],
outputs=gr.Image(label='Clothing Crop'),
examples=[['./1.jpg', ["Background", "Clothes", "Face"]]]
)
iface.launch()
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