Spaces:
Running
on
Zero
Running
on
Zero
File size: 2,812 Bytes
ff715ca |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
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)
|