| import gradio as gr | |
| import torch | |
| from utils import transformer, tensor_to_img | |
| from network import Style_Transfer_Network | |
| check_point = torch.load("check_point1_0.pth", map_location = torch.device('cpu')) | |
| model = Style_Transfer_Network() | |
| model.load_state_dict(check_point['state_dict']) | |
| def style_transfer(content_img, style_strength, style_img_1 = None, iw_1 = 0, style_img_2 = None, iw_2 = 0, style_img_3 = None, iw_3 = 0, preserve_color = None): | |
| transform = transformer(imsize = 512) | |
| content = transform(content_img).unsqueeze(0) | |
| iw = [iw_1, iw_2, iw_3] | |
| interpolation_weights = [i/ sum(iw) for i in iw] | |
| style_imgs = [style_img_1, style_img_2, style_img_3] | |
| styles = [] | |
| for style_img in style_imgs: | |
| if style_img is not None: | |
| styles.append(transform(style_img).unsqueeze(0)) | |
| if preserve_color == "None": preserve_color = None | |
| elif preserve_color == "Whitening & Coloring": preserve_color = "whitening_and_coloring" | |
| elif preserve_color == "Histogram matching": preserve_color = "histogram_matching" | |
| with torch.no_grad(): | |
| stylized_img = model(content, styles, style_strength, interpolation_weights, preserve_color = preserve_color) | |
| return tensor_to_img(stylized_img) | |
| title = "Artistic Style Transfer" | |
| content_img = gr.components.Image(label="Content image", type = "pil") | |
| style_img_1 = gr.components.Image(label="Style images", type = "pil") | |
| iw_1 = gr.components.Slider(0., 1., label = "Style 1 strength") | |
| style_img_2 = gr.components.Image(label="Style images", type = "pil") | |
| iw_2 = gr.components.Slider(0., 1., label = "Style 2 strength") | |
| style_img_3 = gr.components.Image(label="Style images", type = "pil") | |
| iw_3 = gr.components.Slider(0., 1., label = "Style 3 strength") | |
| style_strength = gr.components.Slider(0., 1., label = "Adjust style strength") | |
| preserve_color = gr.components.Dropdown(["None", "Whitening & Coloring", "Histogram matching"], label = "Choose color preserving mode") | |
| interface = gr.Interface(fn = style_transfer, | |
| inputs = [content_img, | |
| style_strength, | |
| style_img_1, | |
| iw_1, | |
| style_img_2, | |
| iw_2, | |
| style_img_3, | |
| iw_3, | |
| preserve_color], | |
| outputs = gr.components.Image(), | |
| title = title | |
| ) | |
| interface.queue() | |
| interface.launch(share = True, debug = True) |