from tf_experiments import train_setting_from_scratch as train_from_scratch, \ train_setting_from_imagenet as train_from_imagenet, train_setting_from_cars as train_from_cars # train_from_cars.train(9, 'cars', hours=1, minutes=10, summary_secs=20) train_from_imagenet.train(9, 'cars', hours=1, minutes=10, summary_secs=20) train_from_scratch.train(9, 'cars', hours=1, minutes=10, summary_secs=20) train_from_cars.train(9, 'bmw_models', hours=1, minutes=10, summary_secs=20) train_from_imagenet.train(9, 'bmw_models', hours=1, minutes=10, summary_secs=20) train_from_scratch.train(9, 'bmw_models', hours=1, minutes=10, summary_secs=20) train_from_cars.train(9, 'car_types', hours=1, minutes=10, summary_secs=20) train_from_imagenet.train(9, 'car_types', hours=1, minutes=10, summary_secs=20) train_from_scratch.train(9, 'car_types', hours=1, minutes=10, summary_secs=20) train_from_cars.train(9, 'seasons', hours=1, minutes=10, summary_secs=20) train_from_imagenet.train(9, 'seasons', hours=1, minutes=10, summary_secs=20) train_from_scratch.train(9, 'seasons', hours=1, minutes=10, summary_secs=20)
from tf_experiments import train_setting_from_scratch as train_from_scratch, \ train_setting_from_imagenet as train_from_imagenet, train_setting_from_cars as train_from_cars train_from_cars.train(29, 'cars', hours=1, minutes=5, summary_secs=10) train_from_imagenet.train(29, 'cars', hours=1, minutes=5, summary_secs=10) train_from_scratch.train(29, 'cars', hours=1, minutes=5, summary_secs=10) train_from_cars.train(29, 'bmw_models', hours=1, minutes=5, summary_secs=10) train_from_imagenet.train(29, 'bmw_models', hours=1, minutes=5, summary_secs=10) train_from_scratch.train(29, 'bmw_models', hours=1, minutes=5, summary_secs=10) train_from_cars.train(29, 'car_types', hours=1, minutes=5, summary_secs=10) train_from_imagenet.train(29, 'car_types', hours=1, minutes=5, summary_secs=10) train_from_scratch.train(29, 'car_types', hours=1, minutes=5, summary_secs=10) train_from_cars.train(29, 'seasons', hours=1, minutes=5, summary_secs=10) train_from_imagenet.train(29, 'seasons', hours=1, minutes=5, summary_secs=10) train_from_scratch.train(29, 'seasons', hours=1, minutes=5, summary_secs=10) train_from_cars.train(30, 'cars', hours=1, minutes=1, summary_secs=5) train_from_imagenet.train(30, 'cars', hours=1, minutes=1, summary_secs=5) train_from_scratch.train(30, 'cars', hours=1, minutes=1, summary_secs=5) train_from_cars.train(30, 'bmw_models', hours=1, minutes=1, summary_secs=5) train_from_imagenet.train(30, 'bmw_models', hours=1, minutes=1, summary_secs=5) train_from_scratch.train(30, 'bmw_models', hours=1, minutes=1, summary_secs=5) train_from_cars.train(30, 'car_types', hours=1, minutes=1, summary_secs=5) train_from_imagenet.train(30, 'car_types', hours=1, minutes=1, summary_secs=5) train_from_scratch.train(30, 'car_types', hours=1, minutes=1, summary_secs=5) train_from_cars.train(30, 'seasons', hours=1, minutes=1, summary_secs=5) train_from_imagenet.train(30, 'seasons', hours=1, minutes=1, summary_secs=5)
from tf_experiments import train_setting_from_scratch as train_from_scratch, \ train_setting_from_imagenet as train_from_imagenet, train_setting_from_cars as train_from_cars train_from_cars.train(13, 'cars', hours=1) train_from_imagenet.train(13, 'cars', hours=1) train_from_scratch.train(13, 'cars', hours=1) train_from_cars.train(13, 'bmw_models', hours=1) train_from_imagenet.train(13, 'bmw_models', hours=1) train_from_scratch.train(13, 'bmw_models', hours=1) train_from_cars.train(13, 'car_types', hours=1) train_from_imagenet.train(13, 'car_types', hours=1) train_from_scratch.train(13, 'car_types', hours=1) train_from_cars.train(13, 'seasons', hours=1) train_from_imagenet.train(13, 'seasons', hours=1) train_from_scratch.train(13, 'seasons', hours=1) ''' train_from_cars.train(14, 'cars', hours=1) train_from_imagenet.train(14, 'cars', hours=1) train_from_scratch.train(14, 'cars', hours=1) train_from_cars.train(14, 'bmw_models', hours=1) train_from_imagenet.train(14, 'bmw_models', hours=1) train_from_scratch.train(14, 'bmw_models', hours=1) train_from_cars.train(14, 'car_types', hours=1) train_from_imagenet.train(14, 'car_types', hours=1) train_from_scratch.train(14, 'car_types', hours=1) train_from_cars.train(14, 'seasons', hours=1) train_from_imagenet.train(14, 'seasons', hours=1) train_from_scratch.train(14, 'seasons', hours=1) ''' ''' train_from_cars.train(22, 'cars', hours=1)
from tf_experiments import train_setting_from_imagenet as trainer bots_setting_02 = ['cars', 'bmw_models', 'car_types', 'seasons'] for bot_id in bots_setting_02: trainer.train(2, bot_id)
from tf_experiments import train_setting_from_imagenet as train_from_imagenet # train_from_cars.train(15, 'cars', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(15, 'cars', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(15, 'cars', hours=1, minutes=10, summary_secs=20) # train_from_cars.train(15, 'bmw_models', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(15, 'bmw_models', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(15, 'bmw_models', hours=1, minutes=10, summary_secs=20) # train_from_cars.train(15, 'car_types', hours=1, minutes=10, summary_secs=20) train_from_imagenet.train(15, 'car_types', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(15, 'car_types', hours=1, minutes=10, summary_secs=20) # train_from_cars.train(15, 'seasons', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(15, 'seasons', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(15, 'seasons', hours=1, minutes=10, summary_secs=20) # # train_from_cars.train(19, 'cars', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(19, 'cars', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(19, 'cars', hours=1, minutes=10, summary_secs=20) # train_from_cars.train(19, 'bmw_models', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(19, 'bmw_models', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(19, 'bmw_models', hours=1, minutes=10, summary_secs=20) # train_from_cars.train(19, 'car_types', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(19, 'car_types', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(19, 'car_types', hours=1, minutes=10, summary_secs=20) # train_from_cars.train(19, 'seasons', hours=1, minutes=10, summary_secs=20) # train_from_imagenet.train(19, 'seasons', hours=1, minutes=10, summary_secs=20) # train_from_scratch.train(19, 'seasons', hours=1, minutes=10, summary_secs=20)
# train_from_scratch.train(16, 'car_types', hours=1, minutes=5, summary_secs=10) # train_from_cars.train(16, 'seasons', hours=1, minutes=5, summary_secs=10) # train_from_imagenet.train(16, 'seasons', hours=1, minutes=5, summary_secs=10) # train_from_scratch.train(16, 'seasons', hours=1, minutes=5, summary_secs=10) # # train_from_cars.train(17, 'cars', hours=1, minutes=1, summary_secs=5) # train_from_imagenet.train(17, 'cars', hours=1, minutes=1, summary_secs=5) # train_from_scratch.train(17, 'cars', hours=1, minutes=1, summary_secs=5) # train_from_cars.train(17, 'bmw_models', hours=1, minutes=1, summary_secs=5) # train_from_imagenet.train(17, 'bmw_models', hours=1, minutes=1, summary_secs=5) # train_from_scratch.train(17, 'bmw_models', hours=1, minutes=1, summary_secs=5) # train_from_cars.train(17, 'car_types', hours=1, minutes=1, summary_secs=5) # train_from_imagenet.train(17, 'car_types', hours=1, minutes=1, summary_secs=5) train_from_scratch.train(17, 'car_types', hours=1, minutes=1, summary_secs=5) train_from_cars.train(17, 'seasons', hours=1, minutes=1, summary_secs=5) train_from_imagenet.train(17, 'seasons', hours=1, minutes=1, summary_secs=5) train_from_scratch.train(17, 'seasons', hours=1, minutes=1, summary_secs=5) train_from_cars.train(18, 'cars', hours=1, minutes=1, seconds=6, summary_secs=1) train_from_imagenet.train(18, 'cars', hours=1, minutes=1, seconds=6, summary_secs=1) train_from_scratch.train(18,
from tf_experiments import train_setting_from_scratch as train_from_scratch, \ train_setting_from_imagenet as train_from_imagenet, train_setting_from_cars as train_from_cars bots_setting_03 = ['cars', 'bmw_models', 'car_types', 'seasons'] # train_from_cars.train(4, 'bmw_models', hours=1) # train_from_imagenet.train(4, 'bmw_models', hours=1) # train_from_scratch.train(4, 'bmw_models', hours=1) train_from_cars.train(4, 'cars', hours=1) train_from_imagenet.train(4, 'cars', hours=1) train_from_scratch.train(4, 'cars', hours=1) train_from_cars.train(4, 'car_types', hours=1) train_from_imagenet.train(4, 'car_types', hours=1) train_from_scratch.train(4, 'car_types', hours=1) train_from_cars.train(4, 'seasons', hours=1) train_from_imagenet.train(4, 'seasons', hours=1) train_from_scratch.train(4, 'seasons', hours=1)