#!/usr/bin/env python3.7
from ai.COS import COS
from ai.lib.Envi import Envi
from ai.recipe import Recipe
from ai.visualize import Visualize
from command_line import cmd_options, check_recipe_exists
from logger import init as initlog
initlog('DEBUG')
cmd_options.add_argument('mode', choices=('full', 'zone'), help='zone|full')
args = cmd_options.parse_args()
check_recipe_exists(args.recipe)
recipe = Recipe(args.recipe)
cos = COS(recipe)
envi = Envi(recipe, cos)
viz = Visualize(args.mode, recipe, envi)
viz.run()
#!/usr/bin/env python3.7
import logger
from ai.COS import COS
from ai.assemble import Assemble
from ai.lib.Envi import Envi
from ai.recipe import Recipe
from command_line import cmd_options, check_recipe_exists
logger.init()
cmd_options.add_argument('mode',
choices=('full', 'zone', 'both'),
help='Type of result')
args = cmd_options.parse_args()
check_recipe_exists(args.recipe)
recipe = Recipe(args.recipe)
cos = COS(recipe)
envi = Envi(recipe, cos)
Assemble(args.mode, recipe, envi).run()
#!/usr/bin/env python3.7
from ai.process import Process
from ai.recipe import Recipe
from command_line import cmd_options, check_recipe_exists
from logger import init as initlog
initlog('DEBUG')
cmd_options.add_argument('mode',
choices=('full', 'zone'),
help='Type of result')
cmd_options.add_argument('type',
choices=('fit', 'fitpredict', 'predict'),
help='Learning type')
args = cmd_options.parse_args()
check_recipe_exists(args.recipe)
recipe = Recipe(args.recipe)
processor = Process(args.mode, args.type, recipe)
processor.run()
from ai.visualize import Visualize
from command_line import cmd_options, check_recipe_exists
from logger import init as initlog
initlog('DEBUG')
log = logging.getLogger('main')
# cmd_options.add_argument('mode',
# choices=('full', 'zone'),
# help='Type of result')
# cmd_options.add_argument('type',
# choices=('fit', 'fitpredict', 'predict'),
# help='Learning type')
cmd_options.add_argument('--upload-filename', help='Type of result')
args = cmd_options.parse_args()
check_recipe_exists(args.recipe)
recipe = Recipe(args.recipe)
cos = COS(recipe)
envi = Envi(recipe, cos)
if Assemble('both', recipe, envi).run() != 0:
log.error('Tensor assemble failed')
exit(-1)
log.info("Learning...")
processor = Process('zone', 'fit', recipe)
if processor.run() != 0: