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import gradio as gr | |
from NTED.NTED_module import NTED | |
NTED_Module = NTED() | |
def pose_transfer(上传人体姿态图): | |
img = 上传人体姿态图 | |
fake_img = NTED_Module.inference(img) | |
return fake_img | |
with gr.Column(): | |
result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=2, height='auto') | |
gr.Interface(fn=pose_transfer, | |
inputs=["image"], | |
outputs=[result_gallery], | |
title="谷小雨姿态驱动图像", | |
examples=[["example/exp1.png"], ["example/exp2.png"], ["example/exp3.png"],\ | |
["example/exp4.png"], ["example/exp5.png"], ["example/exp6.png"]], | |
).launch(share=True) # (server_name='0.0.0.0') | |
''' | |
TODO | |
测试视频展示功能 | |
''' |