CoNR / streamlit.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))
if st.button('RUN!'):
if upload_img is not None:
for i in range(len(upload_img)):
with open('character_sheet/{}.png'.format(i), 'wb') as f:
f.write(upload_img[i].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> <')