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- import argparse
- import os
- from dataset import get_loader
- from solver import Solver
- def main(config):
- if config.mode == 'train':
- train_loader, dataset = get_loader(config.batch_size, num_thread=config.num_thread)
- run = "nnet"
- if not os.path.exists("%s/run-%s" % (config.save_fold, run)):
- os.mkdir("%s/run-%s" % (config.save_fold, run))
- os.mkdir("%s/run-%s/logs" % (config.save_fold, run))
- os.mkdir("%s/run-%s/models" % (config.save_fold, run))
- config.save_fold = "%s/run-%s" % (config.save_fold, run)
- train = Solver(train_loader, None, config)
- train.train()
- elif config.mode == 'test':
- test_loader, dataset = get_loader(config.test_batch_size, mode='test',num_thread=config.num_thread, test_mode=config.test_mode, sal_mode=config.sal_mode)
- test = Solver(None, test_loader, config, dataset.save_folder())
- test.test(test_mode=config.test_mode)
- else:
- raise IOError("illegal input!!!")
- if __name__ == '__main__':
- vgg_path = '/home/liuj/code/Messal/weights/vgg16_20M.pth'
- resnet_path = '/home/liuj/code/Messal/weights/resnet50_caffe.pth'
- parser = argparse.ArgumentParser()
- # Hyper-parameters
- parser.add_argument('--n_color', type=int, default=3)
- parser.add_argument('--cuda', type=bool, default=True)
- # Training settings
- parser.add_argument('--vgg', type=str, default=vgg_path)
- parser.add_argument('--resnet', type=str, default=resnet_path)
- parser.add_argument('--epoch', type=int, default=30) # 12, now x3
- parser.add_argument('--batch_size', type=int, default=1)
- parser.add_argument('--test_batch_size', type=int, default=1)
- parser.add_argument('--num_thread', type=int, default=4)
- parser.add_argument('--load_bone', type=str, default='')
- # parser.add_argument('--load_branch', type=str, default='')
- parser.add_argument('--save_fold', type=str, default='./EGNet')
- # parser.add_argument('--epoch_val', type=int, default=20)
- parser.add_argument('--epoch_save', type=int, default=1) # 2, now x3
- parser.add_argument('--epoch_show', type=int, default=1)
- parser.add_argument('--pre_trained', type=str, default=None)
- # Testing settings
- parser.add_argument('--model', type=str, default='./epoch_resnet.pth')
- parser.add_argument('--test_fold', type=str, default='./results/test')
- parser.add_argument('--test_mode', type=int, default=1)
- parser.add_argument('--sal_mode', type=str, default='t')
- # Misc
- parser.add_argument('--mode', type=str, default='train', choices=['train', 'test'])
- parser.add_argument('--visdom', type=bool, default=False)
-
- config = parser.parse_args()
-
- if not os.path.exists(config.save_fold): os.mkdir(config.save_fold)
- main(config)
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