def render(self, country, lan, company=None):
with open("templates/modules/module_text/agencyAdd.json") as json_file:
form = json.load(json_file)
tools = Tools()
agency_list = tools.get_list_of_agencies(country)
return self.render_string('modules/agencyAdd.html',
c=company,
country=country,
agency_list=json.dumps(agency_list),
lan=lan,
form=form[lan][country])
def __init__(self, env, args):
self.direction = args.direction
self.env = env
self.num_episodes = args.episodes
self.episode_start = 0
self.noise = OUNoise(mu=np.zeros(self.env.action_space.shape))
self.noise_decay = args.noise_decay
self.count_exp_replay = 0
self.train_iteration = 0
self.tau = args.TAU
self.tools = Tools()
def init():
tools = Tools()
for i in range(200):
observation, reward, done, info = env.step(
tools.active_one_muscle("iliopsoas", "r", 1))
if i == 20:
state_desc = env.get_state_desc()
print(type(state_desc["body_pos"]["toes_r"][0:2]))
print(state_desc["body_pos"]["talus_l"][0:2])
print(state_desc["body_pos"]["talus_r"][0:2])
print(state_desc["misc"]["mass_center_pos"])
print(state_desc["body_pos_rot"])
input("Press Enter to continue...")
print(reward)
})
inference[inference > 1.0] = 1.0
inference[inference < 0.0] = 0.0
inference = inference * 255.0
metric = tool.psnr(inference, test_data[j][2])
format_time = str(
time.strftime("%Y-%m-%d %H:%M:%S", time.localtime()))
log_info = format_time + ' ' + 'iters:%d, img:%d, loss:%.6f, psnr:%.6f' % (
i, j, loss, metric)
print(log_info)
val_log.write(log_info + '\n')
writer.add_summary(train_summary, i)
writer.close()
if __name__ == '__main__':
cfg = Config('SRCNN')
tool = Tools()
batch_size = 64
# train data
datasets_path = './datasets/training_91_image_patches.h5'
data, label = tool.read_h5_file(datasets_path)
data_loder = tool.data_iterator(data, label, batch_size)
# val data
path = './datasets/Test/Set5'
test_data = tool.read_test_data(path, cfg)
train(cfg, data_loder, test_data)
source="",
subagencies=[],
datasets=[],
usedBy=[],
notes="",
dataType=
'Federal', # only federal agencies are shown in the filter list
country='kr')
agency.save()
agencies.append(agency)
company.display = True
company.save()
for agency in agencies:
Form.add_agency_to_company(company, agency)
# if rownum > MAX_ROWS:
# break
#print u'saved: {}'.format(company.companyName)
# print output
stats.create_new_stats('kr')
stats.refresh_stats('kr')
Tools().re_do_filters('kr')
FileGenerator().generate_company_csv('kr')
FileGenerator().generate_company_all_csv('kr')
FileGenerator().generate_agency_csv('kr')
FileGenerator().generate_chord_chart_files('kr', 'en')
import uavcan
from contextlib import closing
from MountControl import MountControl
from utils import Tools
import cv2 as cv
import threading
import time
'''
should handle timeout, when uav move route after 90s
'''
if __name__ == '__main__':
tools = Tools('/home/mmc/tx2logs', usecam=False)
uavcan.load_dsdl()
node_info = uavcan.protocol.GetNodeInfo.Response()
node_info.name = 'com.mmc.tx2'
direction = [[1, 0], [1, 1], [0, 1], [-1, 1], [-1, 0], [-1, -1], [0, -1],
[1, -1]]
with closing(
uavcan.make_node('/dev/ttyACM0',
node_id=20,
bitrate=1000000,
node_info=node_info)) as node:
# init mount, task
mount = MountControl(node)
def publisNodeInfo():
# publish the uavcan node info
msg = uavcan.protocol.NodeStatus()
def __init__(self):
self.tools = Tools()
self.unique_labels = ["0", "1", "2"]
from flask import Flask
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from flask_migrate import Migrate
from flask_misaka import Misaka
from flask_mail import Mail
from config import config
from utils import Tools
bootstrap = Bootstrap()
db = SQLAlchemy()
mail = Mail()
migrate = Migrate()
misaka = Misaka()
tools = Tools()
login_manager = LoginManager()
login_manager.session_protection = 'strong'
login_manager.login_view = 'auth.login'
login_manager.login_message = '请登录后访问该页面'
from .commands.hexo import Hexo
hexo = Hexo()
from admin import PeachAdmin
admin = PeachAdmin(name="Management", template_mode="bootstrap3")
def create_app(config_name):
app = Flask(__name__, static_folder='static', static_url_path='')
