'''
import json, os, cv2, sys, time
import tensorflow as tf
from flask import Flask, request
from pathlib import Path
sys.path.append('..')
from color import Colored as C
# from model import UNET as G
import numpy as np
# import config as cf
os.environ['CUDA_VISIBLE_DEVICES'] = ''
print_ = lambda x: print(C.blue(f"--> [{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))}]: {x}"))
def handle(dic_url, model_path, saved_dir, sr_or_os):
if sr_or_os == 'sr':
from model import UNET_sr as G
elif sr_or_os == 'os':
from model import UNET_os as G
else:
print('inference.py: line 25, [sr_or_os] must be "sr" or "os".')
exit()
print('\n')
print('-' * 50)
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
print_ = lambda x: print(
f"--> [{time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time()))}]: {x}"
)
def handle():
print('\n')
print('-' * 50)
print(time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(time.time())))
sk = socket.socket()
ip = '127.0.0.1'
port = 10005
sk.bind((ip, port))
sk.listen(10)
while True:
new_cil, addr = sk.accept()
print(f'new addr:{addr}')
print(new_cil.recv(1024).decode())
new_cil.send(b'huixin haha')
new_cil.send(b'zai huixin hahaha')
new_cil.close()
if __name__ == '__main__':
# handle()
print_ = lambda x: print(f'\033[1;32;0m{x}\033[0m')
print_('nihaoma beijing?')
print('\033[1;32;0mnihaoma beijing?\033[0m')
print(C.blue('nihaoma beijing?'))