Create app.py

app.py

@@ -0,0 +1,280 @@
+#!/usr/bin/env python
+
+from __future__ import annotations
+
+import argparse
+import pathlib
+import torch
+import gradio as gr
+
+from vtoonify_model import Model
+
+def parse_args() -> argparse.Namespace:
+    parser = argparse.ArgumentParser()
+    parser.add_argument('--device', type=str, default='cpu')
+    parser.add_argument('--theme', type=str)
+    parser.add_argument('--share', action='store_true')
+    parser.add_argument('--port', type=int)
+    parser.add_argument('--disable-queue',
+                        dest='enable_queue',
+                        action='store_false')
+    return parser.parse_args()
+
+DESCRIPTION = '''
+<div align=center>
+<h1 style="font-weight: 900; margin-bottom: 7px;">
+   Portrait Style Transfer with <a href="https://github.com/williamyang1991/VToonify">VToonify</a>
+</h1>
+<video id="video" width=50% controls="" preload="none" poster="https://repository-images.githubusercontent.com/534480768/53715b0f-a2df-4daa-969c-0e74c102d339">
+<source id="mp4" src="https://user-images.githubusercontent.com/18130694/189483939-0fc4a358-fb34-43cc-811a-b22adb820d57.mp4
+" type="video/mp4">
+</videos></div>
+'''
+FOOTER = '<div align=center><img id="visitor-badge" alt="visitor badge" src="https://visitor-badge.laobi.icu/badge?page_id=williamyang1991/VToonify" /></div>'
+
+ARTICLE = r"""
+If VToonify is helpful, please help to ⭐ the <a href='https://github.com/williamyang1991/VToonify' target='_blank'>Github Repo</a>. Thanks! 
+[![GitHub Stars](https://img.shields.io/github/stars/williamyang1991/VToonify?style=social)](https://github.com/williamyang1991/VToonify)
+---
+📝 **Citation**
+If our work is useful for your research, please consider citing:
+```bibtex
+@article{yang2022Vtoonify,
+  title={VToonify: Controllable High-Resolution Portrait Video Style Transfer},
+  author={Yang, Shuai and Jiang, Liming and Liu, Ziwei and Loy, Chen Change},
+  journal={ACM Transactions on Graphics (TOG)},
+  volume={41},
+  number={6},
+  articleno={203},
+  pages={1--15},
+  year={2022},
+  publisher={ACM New York, NY, USA},
+  doi={10.1145/3550454.3555437},
+}
+```
+📋 **License**
+This project is licensed under <a rel="license" href="https://github.com/williamyang1991/VToonify/blob/main/LICENSE.md">S-Lab License 1.0</a>. 
+Redistribution and use for non-commercial purposes should follow this license.
+📧 **Contact**
+If you have any questions, please feel free to reach me out at <b>williamyang@pku.edu.cn</b>.
+"""
+
+def update_slider(choice: str) -> dict:
+    if type(choice) == str and choice.endswith('-d'):
+        return gr.Slider.update(maximum=1, minimum=0, value=0.5)
+    else:
+        return gr.Slider.update(maximum=0.5, minimum=0.5, value=0.5)
+
+def set_example_image(example: list) -> dict:
+    return gr.Image.update(value=example[0])
+
+def set_example_video(example: list) -> dict:
+    return gr.Video.update(value=example[0]), 
+   
+sample_video = ['./vtoonify/data/529_2.mp4','./vtoonify/data/7154235.mp4','./vtoonify/data/651.mp4','./vtoonify/data/908.mp4']
+sample_vid = gr.Video(label='Video file')  #for displaying the example
+example_videos = gr.components.Dataset(components=[sample_vid], samples=[[path] for path in sample_video], type='values', label='Video Examples')     
+
+def main():
+    args = parse_args()
+    args.device = 'cuda' if torch.cuda.is_available() else 'cpu'
+    print('*** Now using %s.'%(args.device))
+    model = Model(device=args.device)
+    
+    with gr.Blocks(theme=args.theme, css='style.css') as demo:
+        
+        gr.Markdown(DESCRIPTION)
+    
+        with gr.Box():
+            gr.Markdown('''## Step 1(Select Style)
+    - Select **Style Type**.
+        - Type with `-d` means it supports style degree adjustment.
+        - Type without `-d` usually has better toonification quality.
+    ''')
+            with gr.Row():
+                with gr.Column():
+                    gr.Markdown('''Select Style Type''')  
+                    with gr.Row():
+                        style_type = gr.Radio(label='Style Type',
+                                              choices=['cartoon1','cartoon1-d','cartoon2-d','cartoon3-d',
+                                                       'cartoon4','cartoon4-d','cartoon5-d','comic1-d',
+                                                       'comic2-d','arcane1','arcane1-d','arcane2', 'arcane2-d',
+                                                       'caricature1','caricature2','pixar','pixar-d',
+                                                       'illustration1-d', 'illustration2-d', 'illustration3-d', 'illustration4-d', 'illustration5-d', 
+                                                      ]
+                                             )   
+                        exstyle = gr.Variable()
+                    with gr.Row():
+                        loadmodel_button = gr.Button('Load Model')
+                    with gr.Row():
+                        load_info = gr.Textbox(label='Process Information', interactive=False, value='No model loaded.')
+                with gr.Column():
+                    gr.Markdown('''Reference Styles
+    ![example](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/style.jpg)''')   
+
+
+        with gr.Box():
+            gr.Markdown('''## Step 2 (Preprocess Input Image / Video)
+    - Drop an image/video containing a near-frontal face to the **Input Image**/**Input Video**.
+    - Hit the **Rescale Image**/**Rescale First Frame** button.
+        - Rescale the input to make it best fit the model.
+        - The final image result will be based on this **Rescaled Face**. Use padding parameters to adjust the background space.
+        - **<font color=red>Solution to [Error: no face detected!]</font>**: VToonify uses dlib.get_frontal_face_detector but sometimes it fails to detect a face. You can try several times or use other images until a face is detected, then switch back to the original image.
+    - For video input, further hit the **Rescale Video** button.
+        - The final video result will be based on this **Rescaled Video**. To avoid overload, video is cut to at most **100/300** frames for CPU/GPU, respectively.
+    ''')
+            with gr.Row():
+                with gr.Box():
+                    with gr.Column():
+                        gr.Markdown('''Choose the padding parameters.
+        ![example](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/rescale.jpg)''')
+                        with gr.Row():
+                            top = gr.Slider(128,
+                                            256,
+                                            value=200,
+                                            step=8,
+                                            label='top')
+                        with gr.Row():
+                            bottom = gr.Slider(128,
+                                            256,
+                                            value=200,
+                                            step=8,
+                                            label='bottom')
+                        with gr.Row():
+                            left = gr.Slider(128,
+                                            256,
+                                            value=200,
+                                            step=8,
+                                            label='left')
+                        with gr.Row():
+                            right = gr.Slider(128,
+                                            256,
+                                            value=200,
+                                            step=8,
+                                            label='right')     
+                with gr.Box():
+                    with gr.Column():
+                        gr.Markdown('''Input''')                
+                        with gr.Row():
+                            input_image = gr.Image(label='Input Image',
+                                                           type='filepath')
+                        with gr.Row():
+                            preprocess_image_button = gr.Button('Rescale Image') 
+                        with gr.Row():
+                            input_video = gr.Video(label='Input Video',
+                                                   mirror_webcam=False,
+                                                          type='filepath')  
+                        with gr.Row():
+                            preprocess_video0_button = gr.Button('Rescale First Frame')
+                            preprocess_video1_button = gr.Button('Rescale Video')
+
+                with gr.Box():
+                    with gr.Column():
+                        gr.Markdown('''View''')
+                        with gr.Row():
+                            input_info = gr.Textbox(label='Process Information', interactive=False, value='n.a.')
+                        with gr.Row():
+                            aligned_face = gr.Image(label='Rescaled Face',
+                                            type='numpy',
+                                            interactive=False)
+                            instyle = gr.Variable()
+                        with gr.Row():
+                            aligned_video = gr.Video(label='Rescaled Video',
+                                            type='mp4',
+                                            interactive=False)  
+            with gr.Row():
+                with gr.Column():
+                    paths = ['./vtoonify/data/pexels-andrea-piacquadio-733872.jpg','./vtoonify/data/i5R8hbZFDdc.jpg','./vtoonify/data/yRpe13BHdKw.jpg','./vtoonify/data/ILip77SbmOE.jpg','./vtoonify/data/077436.jpg','./vtoonify/data/081680.jpg']
+                    example_images = gr.Dataset(components=[input_image],
+                                            samples=[[path] for path in paths],
+                                               label='Image Examples')
+                with gr.Column():
+                    #example_videos = gr.Dataset(components=[input_video], samples=[['./vtoonify/data/529.mp4']], type='values')
+                    #to render video example on mouse hover/click        
+                    example_videos.render()
+                    #to load sample video into input_video upon clicking on it
+                    def load_examples(video):  
+                        #print("****** inside load_example() ******")
+                        #print("in_video is : ", video[0])
+                        return video[0]
+
+                    example_videos.click(load_examples, example_videos, input_video) 
+
+        with gr.Box():
+            gr.Markdown('''## Step 3 (Generate Style Transferred Image/Video)''')
+            with gr.Row():
+                with gr.Column():
+                    gr.Markdown('''
+                        - Adjust **Style Degree**.
+                        - Hit **Toonify!** to toonify one frame. Hit **VToonify!** to toonify full video.
+                            - Estimated time on 1600x1440 video of 300 frames: 1 hour (CPU); 2 mins (GPU)
+                        ''')
+                    style_degree = gr.Slider(0,
+                                             1,
+                                             value=0.5,
+                                             step=0.05,
+                                             label='Style Degree')  
+                with gr.Column():
+                    gr.Markdown('''![example](https://raw.githubusercontent.com/williamyang1991/tmpfile/master/vtoonify/degree.jpg)
+                        ''')  
+            with gr.Row():
+                output_info = gr.Textbox(label='Process Information', interactive=False, value='n.a.')
+            with gr.Row():
+                with gr.Column():
+                    with gr.Row():
+                        result_face = gr.Image(label='Result Image',
+                                            type='numpy',
+                                            interactive=False)
+                    with gr.Row():
+                        toonify_button = gr.Button('Toonify!')
+                with gr.Column():
+                    with gr.Row():
+                        result_video = gr.Video(label='Result Video',
+                                            type='mp4',
+                                            interactive=False)    
+                    with gr.Row():
+                        vtoonify_button = gr.Button('VToonify!')
+        
+        gr.Markdown(ARTICLE)
+        gr.Markdown(FOOTER)
+
+        loadmodel_button.click(fn=model.load_model,
+                                inputs=[style_type],
+                                outputs=[exstyle, load_info])
+
+
+        style_type.change(fn=update_slider,
+                          inputs=style_type,
+                          outputs=style_degree)
+
+        preprocess_image_button.click(fn=model.detect_and_align_image,
+                                inputs=[input_image, top, bottom, left, right],
+                                outputs=[aligned_face, instyle, input_info])
+        preprocess_video0_button.click(fn=model.detect_and_align_video,
+                                inputs=[input_video, top, bottom, left, right],
+                                outputs=[aligned_face, instyle, input_info])
+        preprocess_video1_button.click(fn=model.detect_and_align_full_video,
+                                inputs=[input_video, top, bottom, left, right],
+                                outputs=[aligned_video, instyle, input_info])
+
+        toonify_button.click(fn=model.image_toonify,
+                                inputs=[aligned_face, instyle, exstyle, style_degree, style_type],
+                                outputs=[result_face, output_info])
+        vtoonify_button.click(fn=model.video_tooniy,
+                                inputs=[aligned_video, instyle, exstyle, style_degree, style_type],
+                                outputs=[result_video, output_info])
+
+
+        example_images.click(fn=set_example_image,
+                                 inputs=example_images,
+                                 outputs=example_images.components)
+        
+    demo.launch(
+        enable_queue=args.enable_queue,
+        server_port=args.port,
+        share=args.share,
+    )
+
+
+if __name__ == '__main__':
+    main()