CoNR / app.py
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import cv2
import numpy as np
import streamlit as st
import os
import base64
st.set_page_config(layout="wide", page_title="CoNR demo", page_icon="🪐")
st.title("CoNR demo")
st.markdown(""" <style>
#MainMenu {visibility: hidden;}
footer {visibility: hidden;}
</style> """, unsafe_allow_html=True)
def get_base64(bin_file):
with open(bin_file, "rb") as f:
data = f.read()
return base64.b64encode(data).decode()
# def set_background(png_file):
# bin_str = get_base64(png_file)
# page_bg_img = '''
# <style>
# .stApp {
# background-image: url("data:image/png;base64,%s");
# background-size: 1920px 1080px;
# background-attachment:fixed;
# background-position:center;
# background-repeat:no-repeat;
# }
# </style>
# ''' % bin_str
# st.markdown(page_bg_img, unsafe_allow_html=True)
# set_background('ipad_bg.png')
upload_img = (st.file_uploader("输入character sheet", "png", accept_multiple_files=True))
upload_img2 = (st.file_uploader("pose images", "png", accept_multiple_files=True))
# os.system("sh download.sh")
if st.button("RUN!"):
if upload_img is not None:
os.makedirs("character_sheet", exist_ok=True)
for i in range(len(upload_img)):
with open("character_sheet/{}.png".format(i), "wb") as f:
f.write(upload_img[i].read())
os.makedirs("poses", exist_ok=True)
for i, e in enumerate(upload_img2):
with open(f"poses/{i}.png", "wb") as f:
f.write(e.read())
st.info("努力推理中...")
os.system("sh infer.sh")
st.info("Done!")
video_file=open("output.mp4", "rb")
video_bytes = video_file.read()
st.video(video_bytes, start_time=0)
else:
st.info("还没上传图片呢> <")