disco / app.py
menghanxia's picture
upload whole project
b3640b9
raw
history blame
No virus
4.74 kB
import gradio as gr
import os, requests
from inference import setup_model, colorize_grayscale, predict_anchors
## download checkpoint
def download_file_from_google_drive(id, destination):
def get_confirm_token(response):
for key, value in response.cookies.items():
if key.startswith('download_warning'):
return value
return None
def save_response_content(response, destination):
CHUNK_SIZE = 32768
with open(destination, "wb") as f:
for chunk in response.iter_content(CHUNK_SIZE):
if chunk: # filter out keep-alive new chunks
f.write(chunk)
URL = "https://docs.google.com/uc?export=download"
session = requests.Session()
response = session.get(URL, params = { 'id' : id }, stream = True)
token = get_confirm_token(response)
if token:
params = { 'id' : id, 'confirm' : token }
response = session.get(URL, params = params, stream = True)
save_response_content(response, destination)
id = "1J4vB6kG4xBLUUKpXr5IhnSSa4maXgRvQ"
destination = "disco-beta.pth.rar"
download_file_from_google_drive(id, destination)
os.rename("disco-beta.pth.tar", "./checkpoints/disco-beta.pth.tar")
## step 1: set up model
device = "cuda"
checkpt_path = "./checkpoints/disco-beta.pth.tar"
assert os.path.exists(checkpt_path), "No checkpoint found!"
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: Image Colorization")
with demo:
gr.Markdown(value="""**DISCO: image colorization that disentangles color multimodality and spatial affinity via global anchors**.""")
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", 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", shape=[100,100])
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. Two modes are supported:
- **Editable**: check ""Show editable anchors" and click "Predict anchors". Then, modify the colors of the predicted anchors (anchor mask will be applied afterward). Finally, click "Colorize" to get the result.
- **Automatic**: click "Colorize" to get the automatically colorized output.
*To know more about the method, please refer to our project page: [https://menghanxia.github.io/projects/disco.html](https://menghanxia.github.io/projects/disco.html)*
""")
demo.launch(server_name='9.134.253.83',server_port=7788)