|
import gradio as gr |
|
import os |
|
os.system("pip install 'git+https://github.com/facebookresearch/detectron2.git'") |
|
os.system("git clone https://github.com/ShuhongChen/bizarre-pose-estimator.git") |
|
os.chdir("bizarre-pose-estimator") |
|
|
|
os.system("gdown https://drive.google.com/uc?id=1qhnBmMdDTC_8kmNj4u2f_Htfvg6KuE14") |
|
|
|
|
|
os.system("unzip bizarre_pose_models.zip") |
|
os.system("cp -a ./bizarre_pose_models/. .") |
|
|
|
|
|
os.system("ls") |
|
|
|
def inference(img): |
|
os.system("python3 -m _scripts.pose_estimator "+img+" ./_train/character_pose_estim/runs/feat_concat+data.ckpt") |
|
|
|
return "./_samples/character_pose_estim.png" |
|
|
|
|
|
title = "Anime2Sketch" |
|
description = "demo for Anime2Sketch. To use it, simply upload your image, or click one of the examples to load them. Read more at the links below." |
|
article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2104.05703'>Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis</a> | <a href='https://github.com/Mukosame/Anime2Sketch'>Github Repo</a></p>" |
|
|
|
gr.Interface( |
|
inference, |
|
gr.inputs.Image(type="filepath", label="Input"), |
|
gr.outputs.Image(type="file", label="Output"), |
|
title=title, |
|
description=description, |
|
article=article |
|
).launch(debug=True) |
|
|
|
|