def initialize(self):
self.task_queue = multiprocessing.Manager().Queue()
self.queue = multiprocessing.Manager().Queue()
self.file_list = list()
self.pixel = 50
self.src_dir = "/data/deeplearning/dataset/training/data/local"
self.temp_dir = "/data/deeplearning/dataset/training/data/local_temp"
self.dest_dir = "/data/deeplearning/dataset/training/data/released_local"
if not os.path.exists(self.src_dir):
os.makedirs(self.src_dir)
if not os.path.exists(self.temp_dir):
os.makedirs(self.temp_dir)
if not os.path.exists(self.dest_dir):
os.makedirs(self.dest_dir)
self.dest_scp_ip = "192.168.5.38"
self.dest_scp_port = 22
self.dest_scp_user = "******"
self.dest_scp_passwd = "12345678"
self.dest_ssh = None
self.dest_scp = None
self.dest_sftp = None
if self.dest_scp_ip != host_ip:
self.dest_ssh = create_ssh_client(server=self.dest_scp_ip,
port=self.dest_scp_port,
user=self.dest_scp_user,
password=self.dest_scp_passwd)
self.dest_scp = scp.SCPClient(self.dest_ssh.get_transport())
self.dest_sftp = self.dest_ssh.open_sftp()
self.logger = logging.getLogger("auto-training")
def initialize(self):
self.file_list = list()
self.pixel = 50
self.src_dir = global_variables.check_dir.value
self.temp_dir = global_variables.check_dir.value + "_temp"
self.dest_dir = global_variables.release_dir.value
if not os.path.exists(self.src_dir):
os.makedirs(self.src_dir)
if not os.path.exists(self.temp_dir):
os.makedirs(self.temp_dir)
if not os.path.exists(self.dest_dir):
os.makedirs(self.dest_dir)
self.dest_scp_ip = global_variables.model_host.value
self.dest_scp_port = global_variables.model_port.value
self.dest_scp_user = global_variables.model_user.value
self.dest_scp_passwd = global_variables.model_passwd.value
self.dest_ssh = None
self.dest_scp = None
self.dest_sftp = None
if self.dest_scp_ip != global_variables.model_host.value:
self.dest_ssh = create_ssh_client(server=self.dest_scp_ip,
port=self.dest_scp_port,
user=self.dest_scp_user,
password=self.dest_scp_passwd)
self.dest_scp = scp.SCPClient(self.dest_ssh.get_transport())
self.dest_sftp = self.dest_ssh.open_sftp()
self.logger = logging.getLogger("auto-training")
def initialize(self):
self.task_queue = multiprocessing.Manager().Queue()
self.queue = multiprocessing.Manager().Queue()
self.file_list = list()
self.src_dir = "/data/deeplearning/dataset/training/models/released"
self.dest_dir = "/data/deeplearning/dataset/training/models/prod"
self.src_scp_ip = "192.168.5.38"
self.src_scp_port = 22
self.src_scp_user = "******"
self.src_scp_passwd = "12345678"
self.src_ssh = None
self.src_scp = None
self.src_sftp = None
if self.src_scp_ip != host_ip:
self.src_ssh = create_ssh_client(
server=self.src_scp_ip,
port=self.src_scp_port,
user=self.src_scp_user,
password=self.src_scp_passwd
)
self.src_scp = scp.SCPClient(self.src_ssh.get_transport())
self.src_sftp = self.src_ssh.open_sftp()
self.dest_scp_ip = "192.168.5.38"
self.dest_scp_port = 22
self.dest_scp_user = "******"
self.dest_scp_passwd = "12345678"
self.dest_ssh = None
self.dest_scp = None
self.dest_sftp = None
if self.dest_scp_ip != host_ip:
self.dest_ssh = create_ssh_client(
server=self.dest_scp_ip,
port=self.dest_scp_port,
user=self.dest_scp_user,
password=self.dest_scp_passwd
)
self.dest_scp = scp.SCPClient(self.dest_ssh.get_transport())
self.dest_sftp = self.dest_ssh.open_sftp()
def __init__(self, _manager, *args, **kw):
super(StartTrainingHandler, self).__init__(args, kw)
self.task_queue = _manager.Queue()
self.queue = _manager.Queue()
self.file_list = list()
self.src_dir = "/opt/gaosanyuan/lane_detect"
self.dest_dir = "/data/deeplearning/dataset/training/models/released"
self.src_scp_ip = "192.168.5.36"
self.src_scp_port = 32
self.src_scp_user = "******"
self.src_scp_passwd = "12345678"
self.src_ssh = None
self.src_scp = None
self.src_sftp = None
if self.src_scp_ip != host_ip:
self.src_ssh = create_ssh_client(server=self.src_scp_ip,
port=self.src_scp_port,
user=self.src_scp_user,
password=self.src_scp_passwd)
self.src_scp = scp.SCPClient(self.src_ssh.get_transport())
self.src_sftp = self.src_ssh.open_sftp()
self.dest_scp_ip = "192.168.5.38"
self.dest_scp_port = 22
self.dest_scp_user = "******"
self.dest_scp_passwd = "12345678"
self.dest_ssh = None
self.dest_scp = None
self.dest_sftp = None
if self.dest_scp_ip != host_ip:
self.dest_ssh = create_ssh_client(server=self.dest_scp_ip,
port=self.dest_scp_port,
user=self.dest_scp_user,
password=self.dest_scp_passwd)
self.dest_scp = scp.SCPClient(self.dest_ssh.get_transport())
self.dest_sftp = self.dest_ssh.open_sftp()
def initialize(self):
self.file_list = list()
self.pixel = 50
self.src_dir = "/data/deeplearning/dataset/training/data/released"
self.temp_dir = "/data/deeplearning/dataset/training/data/released_temp"
if not os.path.exists(self.src_dir):
os.makedirs(self.src_dir)
if not os.path.exists(self.temp_dir):
os.makedirs(self.temp_dir)
self.dest_dir = global_variables.release_dir.value
# self.released_url = "http://192.168.5.31:23300/kts/runtime/tasks?"
if not global_variables.krs_url.value.endswith("/"):
self.krs_url = global_variables.krs_url.value + "/image/get?"
else:
self.krs_url = global_variables.krs_url.value + "image/get?"
if not global_variables.release_url.value.endswith("/"):
self.released_url = global_variables.release_url.value
else:
self.released_url = global_variables.release_url.value[:-1]
self.dest_scp_ip = global_variables.model_host.value
self.dest_scp_port = global_variables.model_port.value
self.dest_scp_user = global_variables.model_user.value
self.dest_scp_passwd = global_variables.model_passwd.value
self.dest_ssh = None
self.dest_scp = None
self.dest_sftp = None
if self.dest_scp_ip != host_ip:
self.dest_ssh = create_ssh_client(server=self.dest_scp_ip,
port=self.dest_scp_port,
user=self.dest_scp_user,
password=self.dest_scp_passwd)
self.dest_scp = scp.SCPClient(self.dest_ssh.get_transport())
self.dest_sftp = self.dest_ssh.open_sftp()
self.logger = logging.getLogger("auto-training")
def initialize(self):
self.file_list = list()
self.pixel = 50
self.src_dir = global_variables.check_dir.value
self.temp_dir = global_variables.check_dir.value + "_temp"
if not os.path.exists(self.src_dir):
os.makedirs(self.src_dir)
if not os.path.exists(self.temp_dir):
os.makedirs(self.temp_dir)
# self.dest_dir = "/data/deeplearning/dataset/kd/lane"
#
# self.dest_scp_ip = "192.168.5.36"
# self.dest_scp_port = 22
# self.dest_scp_user = "******"
# self.dest_scp_passwd = "12345678"
self.dest_dir = global_variables.release_dir.value
self.dest_scp_ip = global_variables.model_host.value
self.dest_scp_port = global_variables.model_port.value
self.dest_scp_user = global_variables.model_user.value
self.dest_scp_passwd = global_variables.model_passwd.value
self.dest_ssh = None
self.dest_scp = None
self.dest_sftp = None
if self.dest_scp_ip != host_ip:
self.dest_ssh = create_ssh_client(server=self.dest_scp_ip,
port=self.dest_scp_port,
user=self.dest_scp_user,
password=self.dest_scp_passwd)
self.dest_scp = scp.SCPClient(self.dest_ssh.get_transport())
self.dest_sftp = self.dest_ssh.open_sftp()
self.logger = logging.getLogger("auto-training")