def gestures_main():
"""
Run experiment for a certain set of parameters for Opportunity Gestures
User is welcome to revise in detail the configuration function
for more information about all of possible configurations for the experiments
"""
datasets_opts = [1]
networks_arc = [0]
fine_tunings = [7]
frezze_opts = [0]
proportions_opts = [2]
for dset in datasets_opts:
for ft in fine_tunings:
for arch in networks_arc:
for fopt in frezze_opts:
for pp in proportions_opts:
config = configuration(dataset_idx=dset, network_idx=arch, output_idx=0, usage_modus_idx=5,
dataset_fine_tuning_idx=ft, learning_rates_idx=0, name_counter=0,
freeze=fopt, proportions_id = pp, gpudevice = "4")
setup_experiment_logger(logging_level=logging.DEBUG, filename= config['folder_exp'] + "logger.txt")
logging.info('Finished')
modus = Modus_Selecter(config)
#Starting process
modus.net_modus()
return
def gestures_main():
datasets_opts = [1]
networks_arc = [0]
fine_tunings = [7]
frezze_opts = [0]
proportions_opts = [2]
for dset in datasets_opts:
for ft in fine_tunings:
for arch in networks_arc:
for fopt in frezze_opts:
for pp in proportions_opts:
config = configuration(dataset_idx=dset,
network_idx=arch,
output_idx=0,
usage_modus_idx=5,
dataset_fine_tuning_idx=ft,
learning_rates_idx=0,
name_counter=0,
freeze=fopt,
proportions_id=pp,
gpudevice="4")
setup_experiment_logger(logging_level=logging.DEBUG,
filename=config['folder_exp'] +
"logger.txt")
logging.info('Finished')
modus = Modus_Selecter(config)
#Starting process
modus.net_modus()
return
def NTU_nain():
#dataset = {0 : 'locomotion', 1 : 'gesture', 2 : 'carrots', 3 : 'pamap2', 4 : 'orderpicking',
# 5 : 'virtual', 6 : 'mocap_half', 7 : 'virtual_quarter', 8 : 'mocap_quarter', 9 : 'mbientlab_quarter'}
# 10 : 'mbientlab'}
datasets_opts = [1]
networks_arc = [0]
fine_tunings = [0]
frezze_opts = [0]
proportions_opts = [0]
for dset in datasets_opts:
for ft in fine_tunings:
for arch in networks_arc:
for fopt in frezze_opts:
for pp in proportions_opts:
config = configuration(dataset_idx=11, network_idx=arch, output_idx=0, usage_modus_idx=5,
dataset_fine_tuning_idx=ft, learning_rates_idx=0, name_counter=0,
freeze=1, proportions_id = 1, gpudevice = "0")
setup_experiment_logger(logging_level=logging.DEBUG, filename= config['folder_exp'] + "logger_NTU_acc_c1_c2_f.txt")
logging.info('Finished')
modus = Modus_Selecter(config)
#Starting process
modus.net_modus()
return
def main():
"""
Run experiment for a certain set of parameters
User is welcome to revise in detatil the configuration function
for more information about all of possible configurations for the experiments
"""
dataset_idx = [12]
network_idx = [2]
reshape_input = [False]
output_idxs = [0]
lrs = [0]
dataset_ft_idx = [0]
counter_exp = 0
freeze = [0]
proport = [0, 1, 2, 4]
percentages = [12]
for dts in range(len(dataset_idx)):
for nt in range(len(network_idx)):
for opt in output_idxs:
for dft in dataset_ft_idx:
for pr in percentages:
for pp in proport:
for rsi in range(len(reshape_input)):
for fr in freeze:
for lr in lrs:
config = configuration(
dataset_idx=dataset_idx[dts],
network_idx=network_idx[nt],
output_idx=opt,
usage_modus_idx=5,
dataset_fine_tuning_idx=dft,
reshape_input=reshape_input[rsi],
learning_rates_idx=lr,
name_counter=counter_exp,
freeze=fr,
percentage_idx=pr,
fully_convolutional=False,
per_data=pp)
setup_experiment_logger(
logging_level=logging.DEBUG,
filename=config['folder_exp'] +
"logger.txt")
logging.info('Finished')
modus = Modus_Selecter(config)
# Starting process
modus.net_modus()
counter_exp += 1
return
def main():
dataset_idx = [11]
network_idx = [0]
reshape_input = [False]
output_idxs = [0, 1]
lrs = [0, 1, 2]
dataset_ft_idx = [0, 1, 2, 3]
counter_exp = 0
freeze = [0]
percentages = [12]
for dts in range(len(dataset_idx)):
for nt in range(len(network_idx)):
for opt in output_idxs:
for dft in dataset_ft_idx:
for pr in percentages:
for rsi in range(len(reshape_input)):
for fr in freeze:
for lr in lrs:
config = configuration(
dataset_idx=dataset_idx[dts],
network_idx=network_idx[nt],
output_idx=opt,
usage_modus_idx=5,
dataset_fine_tuning_idx=dft,
reshape_input=reshape_input[rsi],
learning_rates_idx=lr,
name_counter=counter_exp,
freeze=fr,
percentage_idx=pr,
fully_convolutional=False)
setup_experiment_logger(
logging_level=logging.DEBUG,
filename=config['folder_exp'] +
"logger.txt")
logging.info('Finished')
modus = Modus_Selecter(config)
# Starting process
modus.net_modus()
counter_exp += 1
return