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| import gradio as gr | |
| import os, requests | |
| import numpy as np | |
| from inference import setup_model, colorize_grayscale, predict_anchors | |
| RUN_MODE = "remote" | |
| if RUN_MODE != "local": | |
| os.system("wget https://huggingface.co/menghanxia/disco/resolve/main/disco-beta.pth.rar") | |
| os.rename("disco-beta.pth.rar", "./checkpoints/disco-beta.pth.rar") | |
| ## step 1: set up model | |
| device = "cpu" | |
| checkpt_path = "checkpoints/disco-beta.pth.rar" | |
| colorizer, colorLabeler = setup_model(checkpt_path, device=device) | |
| def click_colorize(rgb_img, hint_img, n_anchors, is_high_res, is_editable): | |
| if hint_img is None: | |
| hint_img = rgb_img | |
| output = colorize_grayscale(colorizer, colorLabeler, rgb_img, hint_img, n_anchors, is_high_res, is_editable, device) | |
| return output | |
| def click_predanchors(rgb_img, n_anchors, is_high_res, is_editable): | |
| output = predict_anchors(colorizer, colorLabeler, rgb_img, n_anchors, is_high_res, is_editable, device) | |
| return output | |
| ## step 2: configure interface | |
| def switch_states(is_checked): | |
| if is_checked: | |
| return gr.Image.update(visible=True), gr.Button.update(visible=True) | |
| else: | |
| return gr.Image.update(visible=False), gr.Button.update(visible=False) | |
| demo = gr.Blocks(title="DISCO") | |
| with demo: | |
| gr.Markdown(value=""" | |
| **Gradio demo for DISCO: Disentangled Image Colorization via Global Anchors**. Check our project page [*Here*](https://menghanxia.github.io/projects/disco.html). | |
| """) | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| Image_input = gr.Image(type="numpy", label="Input", interactive=True) | |
| Image_anchor = gr.Image(type="numpy", label="Anchor", tool="color-sketch", interactive=True, visible=False) | |
| with gr.Row(): | |
| Num_anchor = gr.Number(type="int", value=8, label="Num. of anchors (3~14)") | |
| Radio_resolution = gr.Radio(type="index", choices=["Low (256x256)", "High (512x512)"], \ | |
| label="Colorization resolution (Low is more stable)", value="Low (256x256)") | |
| Ckeckbox_editable = gr.Checkbox(default=False, label='Show editable anchors') | |
| with gr.Row(): | |
| Button_show_anchor = gr.Button(value="Predict anchors", visible=False) | |
| Button_run = gr.Button(value="Colorize") | |
| with gr.Column(scale=1): | |
| Image_output = gr.Image(type="numpy", label="Output").style(height=480) | |
| Ckeckbox_editable.change(fn=switch_states, inputs=Ckeckbox_editable, outputs=[Image_anchor, Button_show_anchor]) | |
| Button_show_anchor.click(fn=click_predanchors, inputs=[Image_input, Num_anchor, Radio_resolution, Ckeckbox_editable], outputs=Image_anchor) | |
| Button_run.click(fn=click_colorize, inputs=[Image_input, Image_anchor, Num_anchor, Radio_resolution, Ckeckbox_editable], \ | |
| outputs=Image_output) | |
| ## guiline | |
| gr.Markdown(value=""" | |
| **Guideline** | |
| 1. upload your image; | |
| 2. set up the arguments: "Num. of anchors" and "Colorization resolution"; | |
| 3. run the colorization (two modes supported): | |
| - *Automatic mode*: click "Colorize" to get the automatically colorized output. | |
| - *Editable mode*: check ""Show editable anchors" and click "Predict anchors". Then, modify the colors of the predicted anchors (only anchor region will be used). Finally, click "Colorize" to get the result. | |
| """) | |
| gr.HTML(value=""" | |
| <p style="text-align:center; color:orange"><a href='https://menghanxia.github.io/projects/disco.html' target='_blank'>DISCO Project Page</a> | <a href='https://github.com/MenghanXia/DisentangledColorization' target='_blank'>Github Repo</a></p> | |
| """) | |
| if RUN_MODE == "local": | |
| demo.launch(server_name='9.134.253.83',server_port=7788) | |
| else: | |
| demo.launch() |