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import gradio as gr
from inference import initialize_styleres
from utils import AppUtils
from datasets.process_image import ImageProcessor
from argparse import ArgumentParser
EXAMPLES = [
["test_sample/1.jpg", "InterfaceGAN", "Smile", "2.0", False],
]
parser = ArgumentParser()
parser.add_argument('--device', type=str, default='cpu', help='Which device to use')
args = parser.parse_args()
utils = AppUtils()
methods = utils.get_methods()
styleres = initialize_styleres('checkpoints/styleres_ffhq.pth', args.device)
image_processor = ImageProcessor('checkpoints/shape_predictor_68_face_landmarks.dat')
def process_image(image, method, edit, factor, is_align_checked):
cfg = utils.args_to_cfg(method, edit, factor)
if is_align_checked:
image = image_processor.align_face(image)
image = image_processor.preprocess_image(image, is_batch=False)
image = styleres.edit_images(image, cfg)
image = image_processor.postprocess_image(image.detach().cpu().numpy(), is_batch=False)
return image
def update_edit_dropdown(method):
choices = utils.get_edits(method)
return gr.Dropdown.update(choices=choices, value=choices[0])
def update_slider(method):
minimum, maximum, step= utils.get_range(method)
return gr.Slider.update(minimum=minimum, maximum=maximum, value=0, step=step, label=f"Strength [{minimum}, {maximum}]")
with gr.Blocks() as demo:
gr.Markdown(
"""
# StyleRes: Transforming the Residuals for Real Image Editing with StyleGAN (CVPR2023)
""")
with gr.Row():
image_input = gr.Image(type="pil", shape=(256,256), label='Input Image', value="test_sample/116.jpg")
image_output = gr.Image(type="pil", shape=(256,256), label='Output Image')
with gr.Row():
with gr.Column(scale=0.25, min_width=50):
methods_drowdown = gr.Dropdown(methods, label="Choose Method", value=methods[0])
with gr.Column(scale=0.25, min_width=50):
edits_dropdown = gr.Dropdown(utils.get_edits(methods[0]), label="Choose Edit", value=utils.get_edits(methods[0])[0])
with gr.Row():
with gr.Column(scale=0.1, min_width=50):
is_align_checked = gr.Checkbox(label="Crop + Align")
with gr.Column(scale=0.4, min_width=50):
factor_slider = gr.Slider(-5, 5, value=0, label="Strength [-5, 5]")
gr.Examples(
examples=EXAMPLES,
inputs=[image_input, methods_drowdown, edits_dropdown, factor_slider, is_align_checked],
outputs=image_output,
fn=process_image,
cache_examples=True,
)
methods_drowdown.change(update_edit_dropdown, inputs=methods_drowdown, outputs=edits_dropdown )
methods_drowdown.change(update_slider, inputs=methods_drowdown, outputs=factor_slider)
factor_slider.release(process_image, inputs=[image_input, methods_drowdown, edits_dropdown, factor_slider, is_align_checked], outputs=image_output)
demo.launch(debug=True)
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