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import gradio as gr | |
import numpy as np | |
import colorizers as c | |
from PIL import Image | |
from colorizers.util import postprocess_tens, preprocess_img | |
def interface(image: Image, model: str): | |
if model == "eccv16": | |
img = c.eccv16(pretrained=True).eval() | |
else: | |
img = c.siggraph17(pretrained=True).eval() | |
oimg = np.asarray(image) | |
if(oimg.ndim == 2): | |
oimg = np.tile(oimg[:,:,None], 3) | |
(tens_l_orig, tens_l_rs) = preprocess_img(oimg) | |
output_img = postprocess_tens( | |
tens_l_orig, | |
img(tens_l_rs).cpu() | |
) | |
return output_img | |
gr.Interface( | |
interface, | |
[ | |
gr.inputs.Image(type="pil", label="Image"), | |
gr.inputs.Radio([ | |
"eccv16", "siggraph17" | |
], type="value", default="eccv16", label="Model") | |
] | |
) |