def cdisp(argv):
try:
opts, args = getopt.getopt(argv, "c:s:v", ["compress="])
if len(opts) == 0:
print(help_msg)
except getopt.GetoptError:
print(help_msg)
sys.exit(2)
for opt, arg in opts:
if opt == '-h':
print(help_msg)
sys.exit()
img = core.decode(img_path, color_mode, mode)
elif opt in ("-c", "--compress"):
img_path = arg
color_mode = args[0] if len(args) > 0 else "F"
mode = args[1] if len(args) > 1 else "D2"
threshold_1 = float(args[2]) if len(args) > 2 else 0.05
threshold_2 = float(args[3]) if len(args) > 3 else threshold_1
threshold_3 = float(args[4]) if len(args) > 4 else threshold_1
encoded_img = core.encode(img_path, color_mode, mode, [threshold_1,threshold_2, threshold_3])
img = core.decode(encoded_img,color_mode,mode)
elif opt in ("-s", "--save"): #save as image
core.save(img, arg)
elif opt == "-v": #verbose
core.verbose = True
print("Verbose: " + str(core.verbose))
def kill():
id_ = int(request.args.get('id'))
ret = core.kill(id_)
if ret:
return json.dumps({'code': 'failure', 'message': ret})
core.save()
return json.dumps({'code': 'success'})
def init(): # 자동으로 SSH 포트를 등록한다. 이게 옳은 건지 판단해보아야.
# restore
core.restore()
# SSH
channel = socket.gethostname().lower().replace('.', '-')
add_server_if_not_registered(channel + '-ssh', 22)
core.save()
def init(): # 자동으로 SSH 포트를 등록한다. 이게 옳은 건지 판단해보아야.
# restore
core.restore()
# SSH
channel = socket.gethostname().lower().replace('.', '-')
add_server_if_not_registered(channel + '-ssh', 22)
core.save()
def init(): # 자동으로 SSH 포트를 등록한다. 이게 옳은 건지 판단해보아야.
# restore
core.restore()
# SSH
# (위 29라인 의견) SW 설치자, 사용자에게 y / n 를 물어보면 좋겠음. 디폴트는 n
channel = socket.gethostname().lower().replace('.', '-')
add_server_if_not_registered(channel + '-ssh', 22)
core.save()
def init(): # 자동으로 SSH 포트를 등록한다. 이게 옳은 건지 판단해보아야.
# restore
core.restore()
# SSH
# (위 29라인 의견) SW 설치자, 사용자에게 y / n 를 물어보면 좋겠음. 디폴트는 n
channel = socket.gethostname().lower().replace('.', '-')
add_server_if_not_registered(channel + '-ssh', 22)
core.save()
def server():
channel = str(request.args.get('channel'))
addr = str(request.args.get('address'))
port = int(request.args.get('port'))
ret = core.server(channel, (addr, port))
if ret:
return json.dumps({'code': 'failure', 'message': ret})
core.save()
return json.dumps({'code': 'success'})
def run_once():
try:
Session = core.init_db()
except OperationalError as e:
print("数据库初始化失败: {}".format(e))
print("程序即将终止")
exit()
nv = core.extract_data()
core.save(Session, nv)
def main():
init()
# constants
service_port: int = core.conf.PORT
# parse options
parser = optparse.OptionParser()
parser.add_option('--service-port',
dest='service_port',
type=int,
default=service_port)
options, args = parser.parse_args()
service_port = options.service_port
t = threading.Thread(target=broadcast)
t.setDaemon(True)
t.start()
# web ui
t = threading.Thread(target=webui.run)
t.setDaemon(True)
t.start()
# service loop
s = socket.socket(AF_INET, SOCK_STREAM)
s.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
s.setsockopt(SOL_SOCKET, SO_KEEPALIVE, 1)
s.bind(('localhost', service_port))
save_on_exit = True
try:
while True:
s.listen(5)
c, addr = s.accept()
t = threading.Thread(target=service_handler, args=(c, addr))
t.setDaemon(True)
t.start()
except KeyboardInterrupt:
print('Shutting down...')
core.killall()
save_on_exit = False
finally:
if save_on_exit:
print('saving...')
core.save()
print('Good bye.')
def scan():
try:
Session = core.init_db()
except OperationalError as e:
print("数据库初始化失败: {}".format(e))
print("程序即将终止")
exit()
data = core.scan()
for i in data:
value, date_str = i['value'], i['date']
date = datetime.strptime(date_str, '%Y-%m-%d').date()
core.save(Session, value, date)
def client():
channel = str(request.args.get('channel'))
try:
port = int(request.args.get('port'))
except TypeError:
port = None
ret = json.loads(core.client(channel, port))
if isinstance(ret, (str, unicode)):
return json.dumps({'code': 'failure', 'message': ret})
core.save()
return json.dumps({'code': 'success', 'port': ret})
def network_save(iface, ssid, lat, lng, passkey=None):
"""
store new network scheme in /etc/network/interfaces
:param iface: network interface
:param ssid: network name
:param lat: latitude
:param lng: longitude
:param passkey: authentication passphrase
:return: JSON response
"""
core.save(iface, ssid, passkey, _get_db(), float(lat), float(lng))
code = 201
resp = jsonify(message='created {}:{}'.format(iface, ssid), code=code)
resp.status_code = code
return resp
def main():
try:
Session = core.init_db()
except OperationalError as e:
print("数据库初始化失败: {}".format(e))
print("程序即将终止")
exit()
frequency = is_every_n_minutes(5)
while True:
current = datetime.now()
if frequency(current):
nv = core.extract_data()
if nv is not None:
core.save(Session, nv)
sys.stdout.flush()
sleep(30)
def process_line(l):
args = l.split()
cmd = args[0]
if cmd == 'status':
return core.status()
elif cmd == 'server':
channel = args[1]
addr = args[2]
port = int(args[3])
ret = core.server(channel, (addr, port))
core.save()
return ret
elif cmd == 'client':
channel = args[1]
try:
port = int(args[2])
except IndexError:
port = None
ret = core.client(channel, port)
core.save()
return ret
elif cmd == 'kill':
id = int(args[1])
ret = core.kill(id)
core.save()
return ret
assert False
def process_line(line: bytes):
line: str = line.decode()
args: Sequence[str] = line.split()
cmd = args[0]
if cmd == 'status':
return core.status()
elif cmd == 'server':
channel = args[1]
addr = args[2]
port = int(args[3])
ret = core.server(channel, (addr, port))
core.save()
return ret
elif cmd == 'client':
channel = args[1]
try:
port = int(args[2])
except IndexError:
port = None
ret = core.client(channel, port)
core.save()
return ret
elif cmd == 'kill':
pid = int(args[1])
ret = core.kill(pid)
core.save()
return ret
assert False
def process_line(l):
args = l.split()
cmd = args[0]
if cmd == 'status':
return core.status()
elif cmd == 'server':
channel = args[1]
addr = args[2]
port = int(args[3])
ret = core.server(channel, (addr, port))
core.save()
return ret
elif cmd == 'client':
channel = args[1]
try:
port = int(args[2])
except IndexError:
port = None
ret = core.client(channel, port)
core.save()
return ret
elif cmd == 'kill':
id = int(args[1])
ret = core.kill(id)
core.save()
return ret
assert False
# service loop
s = socket.socket(AF_INET, SOCK_STREAM)
s.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
s.setsockopt(SOL_SOCKET, SO_KEEPALIVE, 1)
s.bind(('localhost', service_port))
save_on_exit = True
try:
while True:
s.listen(5)
c, addr = s.accept()
t = threading.Thread(target=service_handler, args=(c, addr))
t.setDaemon(True)
t.start()
except KeyboardInterrupt:
print 'Shutting down...'
core.killall()
save_on_exit = False
finally:
web_ssh_process.kill()
if save_on_exit:
print 'saving...'
core.save()
print 'Good bye.'
def create_bitmaps(lens, slm, sample, window=None, slit=None):
""" The main function of the script, which initiates the calculation
of hologram bitmaps based on the input conditions.
Parameters
----------
lens : `ObjectiveLens` instance
Carries details about objective lens and laser parameters.
slm : `SLM` instance
Carries details about SLM parameters.
sample : `Sample` instance
Carries details about sample and focal depths of interest.
window : `Window` instance
Carries details about window, if applicable.
slit : `Slit` instance
Carries details about slit beamshaping, if applicable.
"""
if not window:
window = Window(1, [0])
for d_w in window.thicknesses:
for d_s in sample.focal_depths:
if d_w != 0:
print ('Processing window thickness {} micron and sample '
'depth {} micron...').format(d_w*1e6, d_s*1e6)
else:
print 'Processing sample depth {} micron...'.format(d_s*1e6)
d_f = optimize_d_f(lens.wavelength, d_s, lens.f, lens.alpha,
sample.n_s, lens.n_a, d_w, window.n_w)
d_shift = -optimize_d_f(lens.wavelength, 0, lens.f, lens.alpha,
sample.n_s, lens.n_a, d_w, window.n_w)
z = d_shift + d_f
ab_corrected, ab_dist_corrected = calculate_phasemap(
slm.px, slm.nx, slm.ny, lens.wavelength, d_s, lens.f,
lens.alpha, sample.n_s, lens.n_a, d_w, window.n_w, slm.m_tel,
slm.correction_file, slm.scale, slit)
if d_w != 0:
filename = 'window{}_depth{}_z{}'.format(
int(d_w*1e6), int(d_s*1e6), int(z*1e6))
else:
filename = 'depth{}_z{}'.format(int(d_s*1e6), int(z*1e6))
try:
save('bitmaps/aberration_corrected/'+filename, ab_corrected)
except:
os.makedirs('bitmaps/aberration_corrected')
save('bitmaps/aberration_corrected/'+filename, ab_corrected)
if ab_dist_corrected is not None:
try:
save('bitmaps/aberration_distortion_corrected/'+filename,
ab_dist_corrected)
except:
os.makedirs('bitmaps/aberration_distortion_corrected')
save('bitmaps/aberration_distortion_corrected/'+filename,
ab_dist_corrected)
def save_post():
core.save(self.post, self.suffix, self.path.get())
])
# service loop
s = socket.socket(AF_INET, SOCK_STREAM)
s.setsockopt(SOL_SOCKET, SO_REUSEADDR, 1)
s.setsockopt(SOL_SOCKET, SO_KEEPALIVE, 1)
s.bind(('localhost', service_port))
save_on_exit = True
try:
while True:
s.listen(5)
c, addr = s.accept()
t = threading.Thread(target=service_handler, args=(c, addr))
t.setDaemon(True)
t.start()
except KeyboardInterrupt:
print 'Shutting down...'
core.killall()
save_on_exit = False
finally:
web_ssh_process.kill()
if save_on_exit:
print 'saving...'
core.save()
print 'Good bye.'
feature = args.feature
num_layer = args.num_layer
num_model = args.num_model
print(f'{device=},{feature=},{num_layer=},{num_model=}')
model = Model(feature=feature, num_layer=num_layer,
num_model=num_model).to(device)
writer = {}
batchsize = 512
dataset = Dataset('../data/doboku/box_aprx/data3')
traindataset, valdataset = torch.utils.data.random_split(
dataset, [dsize := int(len(dataset) * 0.8),
len(dataset) - dsize])
trainloader = torch.utils.data.DataLoader(traindataset,
batch_size=batchsize,
num_workers=cpu_count())
valloader = torch.utils.data.DataLoader(valdataset,
batch_size=batchsize,
num_workers=cpu_count())
optimizer = torch.optim.Adam(model.parameters())
lossf = nn.MSELoss()
esp = 1
epochs = 1000
est_epochs = 200
savefolder = f'data/{num_model}_{num_layer}_{feature}'
os.makedirs(savefolder, exist_ok=True)
data = torch.rand(116)
for e in range(epochs):
operate('train')
operate('val ')
save(model, savefolder, writer,
f'{feature=},{num_layer=},{num_model=}')
import torch
from core import CharLSTM, save
state = torch.load("save_1", map_location="cpu")
save(state)