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main.py
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main.py
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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 = get_loader(config.train_path, config.label_path, config.img_size, config.batch_size,
filename=config.train_file, num_thread=config.num_thread)
if config.val:
val_loader = get_loader(config.val_path, config.val_label, config.img_size, config.batch_size,
filename=config.val_file, num_thread=config.num_thread)
run = 0
while os.path.exists("%s/run-%d" % (config.save_fold, run)): run += 1
os.mkdir("%s/run-%d" % (config.save_fold, run))
os.mkdir("%s/run-%d/logs" % (config.save_fold, run))
# os.mkdir("%s/run-%d/images" % (config.save_fold, run))
os.mkdir("%s/run-%d/models" % (config.save_fold, run))
config.save_fold = "%s/run-%d" % (config.save_fold, run)
if config.val:
train = Solver(train_loader, val_loader, None, config)
else:
train = Solver(train_loader, None, None, config)
train.train()
elif config.mode == 'test':
test_loader = get_loader(config.test_path, config.test_label, config.img_size, config.batch_size, mode='test',
filename=config.test_file, num_thread=config.num_thread)
if not os.path.exists(config.test_fold): os.mkdir(config.test_fold)
test = Solver(None, None, test_loader, config)
test.test(100, use_crf=config.use_crf)
else:
raise IOError("illegal input!!!")
if __name__ == '__main__':
# data_root = os.path.join(os.path.expanduser('~'), 'data')
vgg_path = 'weights/vgg16_feat.pth'
# # -----ECSSD dataset-----
# train_path = os.path.join(data_root, 'ECSSD/images')
# label_path = os.path.join(data_root, 'ECSSD/ground_truth_mask')
#
# val_path = os.path.join(data_root, 'ECSSD/val_images')
# val_label = os.path.join(data_root, 'ECSSD/val_ground_truth_mask')
# test_path = os.path.join(data_root, 'ECSSD/test_images')
# test_label = os.path.join(data_root, 'ECSSD/test_ground_truth_mask')
# # -----combined dataset-----
# image_path = os.path.join(data_root, 'combined/image')
# label_path = os.path.join(data_root, 'combined/annotation')
# train_file = os.path.join(data_root, 'combined/train_cvpr2013.txt')
# valid_file = os.path.join(data_root, 'combined/valid_cvpr2013.txt')
# test_file = os.path.join(data_root, 'combined/test_cvpr2013.txt')
image_path = 'data/combined/image'
label_path = 'data/combined/annotation'
train_file = 'data/combined/combined_train.txt'
valid_file = 'data/combined/f_val.txt'
test_file = 'data/combined/f_test.txt'
parser = argparse.ArgumentParser()
# Hyper-parameters
parser.add_argument('--n_color', type=int, default=3)
parser.add_argument('--img_size', type=int, default=256) # 256
parser.add_argument('--lr', type=float, default=1e-5)
parser.add_argument('--clip_gradient', type=float, default=1.0)
parser.add_argument('--cuda', type=bool, default=True)
# Training settings
parser.add_argument('--vgg', type=str, default=vgg_path)
parser.add_argument('--train_path', type=str, default=image_path)
parser.add_argument('--label_path', type=str, default=label_path)
parser.add_argument('--train_file', type=str, default=train_file)
parser.add_argument('--epoch', type=int, default=50)
parser.add_argument('--batch_size', type=int, default=1) # 8
parser.add_argument('--val', type=bool, default=True)
parser.add_argument('--val_path', type=str, default=image_path)
parser.add_argument('--val_label', type=str, default=label_path)
parser.add_argument('--val_file', type=str, default=valid_file)
parser.add_argument('--num_thread', type=int, default=4)
parser.add_argument('--load', type=str, default='')
parser.add_argument('--save_fold', type=str, default='results')
parser.add_argument('--epoch_val', type=int, default=10)
parser.add_argument('--epoch_save', type=int, default=20)
parser.add_argument('--epoch_show', type=int, default=1)
parser.add_argument('--pre_trained', type=str, default=None)
# Testing settings
parser.add_argument('--test_path', type=str, default=image_path)
parser.add_argument('--test_label', type=str, default=label_path)
parser.add_argument('--test_file', type=str, default=test_file)
parser.add_argument('--model', type=str, default='weights/final.pth')
parser.add_argument('--test_fold', type=str, default='results/test')
parser.add_argument('--use_crf', type=bool, default=False)
# Misc
parser.add_argument('--mode', type=str, default='test', choices=['train', 'test'])
parser.add_argument('--visdom', type=bool, default=True)
config = parser.parse_args()
if not os.path.exists(config.save_fold): os.mkdir(config.save_fold)
main(config)