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='')