def bootup ():
try:
opts, args = getopt.getopt (sys.argv[1:], "hc:p:", ["config=", "pid-file="])
except getopt.GetoptError:
# print help information and exit:
usage()
sys.exit(2)
verbose = False
config_file = None
pidfile = None
for o, a in opts:
if o == "-v":
verbose = True
if o in ("-h", "--help"):
usage()
sys.exit()
if o in ("-c", "--config"):
config_file = a
if o in ("-p", "--pid-file"):
pidfile = a
if config_file == None:
# print help information and exit:
usage()
sys.exit(2)
config.initialise(config_file)
if pidfile is not None:
#Command line override
config.set('dbAlerter', 'pid_file', pidfile)
if (config.has_option('dbAlerter', 'pid_file')):
pidfile = config.get('dbAlerter', 'pid_file')
try:
pf = file(pidfile,'r')
pid = int(pf.read().strip())
pf.close()
except IOError:
pid = None
if pid:
message = "pidfile %s already exists. dbAlerter may already be running,\ncheck the process / task list and dbAlerter log file for any\nouststanding issues before removing the existing pidfile.\n"
sys.stderr.write(message % pidfile)
sys.exit(1)
daemonize('/dev/null', config.get('dbAlerter','dbalerter_log'), config.get('dbAlerter','dbalerter_log'))
main()
import torch
import torch.nn as nn
from torch.nn import functional as F
from utils.ops import unpixel_shuffle
from models.lr_net import SmoothDilatedResidualAtrousGuidedBlock, LRNet
from models.model_utils import AdaptiveInstanceNorm
from sacred import Experiment
from config import initialise
ex = Experiment("DAGF")
ex = initialise(ex)
class ConvGuidedFilter(nn.Module):
"""
Adapted from https://github.com/wuhuikai/DeepGuidedFilter
"""
def __init__(self,
radius=1,
norm=nn.BatchNorm2d,
conv_a_kernel_size: int = 1):
super(ConvGuidedFilter, self).__init__()
self.box_filter = nn.Conv2d(3,
3,
kernel_size=3,
padding=radius,
dilation=radius,
bias=False,