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import gradio as gr
import numpy as np
from PIL import Image
import io
def process_and_save(image_dict):
if image_dict is None:
return None, None, None
# ImageEditor returns a dict with 'background' and 'layers' keys
if 'background' in image_dict:
original = image_dict['background']
else:
return None, None, None
# Create mask from layers (drawn parts)
if 'layers' in image_dict and len(image_dict['layers']) > 0:
# Combine all layers to create mask
mask = np.zeros_like(original[:, :, 0])
for layer in image_dict['layers']:
if layer is not None:
# Convert layer to grayscale if needed
if layer.ndim == 3:
layer_gray = np.any(layer[:, :, :3] > 0, axis=2)
else:
layer_gray = layer > 0
mask = np.logical_or(mask, layer_gray)
else:
# If no layers, create empty mask
mask = np.zeros_like(original[:, :, 0])
# Convert to binary mask
binary_mask = (mask > 0).astype(np.uint8) * 255
mask_img = Image.fromarray(binary_mask, mode='L')
original_img = Image.fromarray(original)
mask_img.save("mask.png")
return mask_img, original_img, "mask.png"
with gr.Blocks() as demo:
gr.Markdown("# Image Masking Tool")
with gr.Row():
with gr.Column():
image_input = gr.ImageEditor(
label="Draw Mask (Upload image, then draw with brush)",
type="numpy",
height=512,
brush=gr.Brush(colors=["#ffffff"], default_color="#ffffff", color_mode="fixed")
)
process_btn = gr.Button("Generate Mask", variant="primary")
with gr.Column():
mask_output = gr.Image(label="Binary Mask", type="pil")
original_output = gr.Image(label="Original Image", type="pil")
mask_download = gr.File(label="Download Mask")
process_btn.click(
fn=process_and_save,
inputs=image_input,
outputs=[mask_output, original_output, mask_download]
)
demo.launch(share=True, debug=False) |