return performance_dict
if __name__ == '__main__':
parser = argparse.ArgumentParser(
description='running experiments on multimodal datasets.')
parser.add_argument('-config',
action='store',
dest='config_file',
help='please enter configuration file.',
default='config/run.ini')
args = parser.parse_args()
params = Params()
params.parse_config(args.config_file)
params.config_file = args.config_file
mode = 'run'
if 'mode' in params.__dict__:
mode = params.mode
set_seed(params)
params.device = torch.device(
'cuda') if torch.cuda.is_available() else torch.device('cpu')
if mode == 'run':
results = []
reader = setup(params)
reader.read(params)
print(params.output_dim_emo)
params.reader = reader
def print_result_from_dir(dir_path):
params = Params()
params.parse_config(os.path.join(dir_path, 'config.ini'))
reader = open(os.path.join(dir_path,'eval'),'r')
s = reader.readline().split()
print('dataset: {}, network_type: {}, acc: {}, f1:{}'.format(params.dataset_name,params.network_type,s[2],s[5]))