Ejemplo n.º 1
0
def inst_mt_res18_faster(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)
    args = basic_inst_setting(args)
    args = mt_fst_ramp_down_setting(args)
    args.network_func = 'get_mean_teacher_and_inst_resnet_18'
    return args
Ejemplo n.º 2
0
def res18_cmb_rp_inst(args):
    args = shared_sts.basic_setting(args)
    args = save_setting(args)
    args = shared_sts.bs_64_setting(args)
    args = cmb_rp_inst_setting(args)

    args.expId = 'cmb_rp_inst'
    args.lr_boundaries = '2500011'
    return args
Ejemplo n.º 3
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def mt_part3_res18(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)
    args = mt_fst_ramp_down_setting(args)

    args.whichimagenet = 'part3'
    args.expId = 'mt_part3_res18'
    return args
Ejemplo n.º 4
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def mt_part10_res18_inst(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)
    args = mt_fst_ramp_down_setting(args)
    args = mt_load_from_inst(args)

    args.whichimagenet = 'part10'
    args.expId = 'mt_part10_res18_inst'
    return args
Ejemplo n.º 5
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def imagenet_instance_setting_res101_3blk(args):
    args = basic_setting(args)
    args = basic_instance_setting(args)

    args.valinum = 250
    args.valbatchsize = 200
    args.whichimagenet = 'full_widx'
    args.network_func = 'get_resnet_101_3blk'
    args.network_func_kwargs = '{"num_cat": 128}'
    return args
Ejemplo n.º 6
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def res18_ir_depth(args):
    args = shared_sts.basic_setting(args)
    args = basic_inst_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_64_less_save_setting(args)
    args.network_func = 'combine_irla_others.get_resnet18_inst_and_depth'
    args.dataconfig = 'dataset_config_pbrimage.cfg'
    args.expId = 'ir_depth'
    args.lr_boundaries = '1300011'
    return args
Ejemplo n.º 7
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def infant_instance_setting(args):
    args = basic_setting(args)
    args = basic_instance_setting(args)

    args.valinum = 123
    args.valbatchsize = 100
    args.whichimagenet = 'full_new_widx'
    args.instance_data_len = 305228
    args.network_func = 'get_resnet_18'
    args.network_func_kwargs = '{"num_cat": 128}'
    return args
Ejemplo n.º 8
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def mean_teacher_res18(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)

    args.weight_decay = 1e-4
    args.init_lr = 0.03
    args.network_func = 'get_mean_teacher_resnet_18'

    args.dbname = 'combine_instance'
    args.expId = 'res18_mt_0'
    return args
Ejemplo n.º 9
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def res18_ir_cate_separate_bn(args):
    args = shared_sts.basic_setting(args)
    args = basic_la_cate_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_256_less_save_setting(args)
    args.network_func = 'get_resnet_18_cate_inst_branch2'
    args.dataconfig = 'dataset_task_config_image_cate_ir_branch2.json'
    args.expId = 'ir_cate_bn'
    args.lr_boundaries = "500000,800000,960000"
    args.ignorebname_new = 0
    return args
Ejemplo n.º 10
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def res18_ir(args):
    args = shared_sts.basic_setting(args)
    args = basic_inst_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_128_less_save_setting(args)
    args.network_func = 'get_resnet_18'
    args.network_func_kwargs = '{"num_cat": 128}'
    args.dataconfig = 'dataset_config_image.cfg'
    args.expId = 'ir'
    args.lr_boundaries = '1780011,2400011'
    return args
Ejemplo n.º 11
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def inst_and_mt_rmp_dwn_res18(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)
    args = basic_inst_setting(args)

    args.dbname = 'combine_instance'
    args.expId = 'inst_and_mt_rmp_dwn_res18'
    args.network_func = 'get_mean_teacher_and_inst_resnet_18'
    args.mt_ramp_down = 1
    args.mt_ramp_down_epoch = 110
    args.target_lr = 0.0125
    return args
Ejemplo n.º 12
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def res18_encode1to3_frm_cate(args):
    args = shared_sts.basic_setting(args)
    args = basic_inst_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_128_less_save_setting(args)
    args.dataconfig = 'dataset_config_image.cfg'
    args.expId = 'encode1to3_frm_cate_fx'
    args = load_from_inst_prep_res18_cate(args)
    args.network_func = 'combine_irla_others.get_resnet_18_fx_encdX'
    # Uncomment for beginning
    args.load_param_dict = get_fx_encode1toX_param_dict_from_cate_model()
    args.lr_boundaries = '1780011,2400011'
    return args
Ejemplo n.º 13
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def res18_la_cate(args):
    args = shared_sts.basic_setting(args)
    args = basic_la_cate_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_256_less_save_setting(args)
    args.dataconfig = 'dataset_task_config_image_la_cate.json'
    args = load_from_res18_ir_cate(args)
    args.loadstep = 50050
    args.expId = 'la_cate'
    # Uncomment for beginning
    #args.load_param_dict = get_load_param_dict_ir2la()
    args.lr_boundaries = '1040011,1550011'
    return args
Ejemplo n.º 14
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def inst_and_mean_teacher_res18(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)
    args = basic_inst_setting(args)

    args.dbname = 'combine_instance'
    args.expId = 'res18_inst_mt_cont'
    args.network_func = 'get_mean_teacher_and_inst_resnet_18'

    args.lr_boundaries = "480000"
    args.loadexpId = 'res18_inst_mt_1'
    args.loadstep = 480480
    return args
Ejemplo n.º 15
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def res18_la(args):
    args = shared_sts.basic_setting(args)
    args = basic_la_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_128_less_save_setting(args)
    args.dataconfig = 'dataset_task_config_image_la.json'
    args = load_from_inst_prep_res18_ir(args)
    args.loadstep = 100000
    args.expId = 'la'
    # Uncomment for beginning
    #args.load_param_dict = get_load_param_dict_ir2la()
    args.lr_boundaries = '1740011,2400011'
    return args
Ejemplo n.º 16
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def mt_part10_res50(args):
    args = basic_setting(args)
    args = basic_mean_teacher(args)
    args = bs_128_setting(args)
    args = mt_fst_ramp_down_setting(args)

    args.whichimagenet = 'part10'
    args.expId = 'mt_part10_res50_fx'
    args.nport = 27006
    args.network_func = 'get_mean_teacher_resnet_50'
    args.mt_ramp_down_epoch = 120
    args.fre_filter = 100100
    args.fre_cache_filter = 10010
    return args
Ejemplo n.º 17
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def res18_encode1_frm_cat(args):
    args = shared_sts.basic_setting(args)
    args = basic_inst_setting(args)

    args = save_setting(args)
    args = shared_sts.bs_128_less_save_setting(args)

    args.dataconfig = 'dataset_config_image.cfg'
    args.expId = 'encode1_frm_cat'
    args = load_from_inst_prep_res18_cate(args)
    args.network_func = 'combine_irla_others.get_resnet_18_fx_encd1'
    # Uncomment for beginning
    #args.load_param_dict = '{"encode1/weights": "inst_encode1/weights", "encode1/bias": "inst_encode1/bias"}'
    args.lr_boundaries = '1780011,2400011'
    return args
Ejemplo n.º 18
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def inst_and_cate_res18(args):
    args = basic_setting(args)
    args.init_type = 'variance_scaling_initializer'
    args.tpu_flag = 1
    args.weight_decay = 1e-4
    args.imgnt_w_idx = True
    args.whichopt = 0
    args.dataconfig = 'dataset_task_config_image_ir_cate.json'

    args.init_lr = 0.03
    args.lr_boundaries = "500000,800000,960000"

    args.network_func = 'get_resnet_18_inst_and_cate'

    args.valinum = 250
    args.valbatchsize = 200
    args.whichimagenet = 'full_widx'
    args.batchsize = 256

    args.dbname = 'combine_instance'
    args.expId = 'res18_inst_cate_1'
    args.fre_filter = 10010
    args.fre_valid = 5005
    return args