def cate_res18_inst_prep(args):
args = basic_res18(args)
args.nport = 27007
args.dbname = 'cate_aug'
args.collname = 'res18'
args.expId = 'inst_prep'
args.resnet_prep = False
args.resnet_prep_size = False
args.lr_boundaries = "160000,310000,460000"
args.train_num_steps = 510000
return args
def cate_res50(args):
args = basic_res18(args)
args.nport = 27007
args.dbname = 'cate_aug'
args.collname = 'res50'
args.expId = 'ctl'
args.resnet_prep = True
args.resnet_prep_size = True
args.lr_boundaries = "160000,310000,460000"
args.train_num_steps = 510000
args.network_func = 'get_resnet_50'
return args
def cate_res18_exp0(args):
args = basic_res18(args)
args.nport = 27007
args.dbname = 'cate_aug'
args.collname = 'res18'
args.expId = 'exp_seed0'
args.resnet_prep = True
args.resnet_prep_size = True
args.lr_boundaries = "160000,310000,460000"
args.train_num_steps = 510000
args.seed = 0
return args
def cate_sobel_res18(args):
args = basic_res18(args)
args.nport = 27007
args.dbname = 'cate_aug'
args.collname = 'res18'
args.input_mode = 'sobel'
args.expId = 'sobel'
args.resnet_prep = True
args.resnet_prep_size = True
args.lr_boundaries = "160000,310000,460000"
args.train_num_steps = 510000
return args
def part5_cate_res18(args):
args = basic_res18(args)
args.dbname = 'combine_instance'
args.expId = 'part5_cate_res18'
args.whichimagenet = 'part5'
return args