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Running
on
Zero
Running
on
Zero
| 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) | |