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Commit 9b87ce51 authored by dongchy920's avatar dongchy920
Browse files

arcface

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from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 1.0
config.interclass_filtering_threshold = 0
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M_Conflict"
config.num_classes = 1017970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.3
config.interclass_filtering_threshold = 0.4
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M_Conflict"
config.num_classes = 1017970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.1
config.interclass_filtering_threshold = 0.4
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M_FLIP40"
config.num_classes = 617970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 1.0
config.interclass_filtering_threshold = 0
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M_FLIP40"
config.num_classes = 617970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "mbf"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 1.0
config.interclass_filtering_threshold = 0
config.fp16 = True
config.weight_decay = 1e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M"
config.num_classes = 617970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = 0
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.interclass_filtering_threshold = 0
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M"
config.num_classes = 617970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = 0
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 1.0
config.interclass_filtering_threshold = 0
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M"
config.num_classes = 617970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = 0
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 1.0
config.interclass_filtering_threshold = 0
config.fp16 = True
config.weight_decay = 5e-4
config.batch_size = 128
config.optimizer = "sgd"
config.lr = 0.1
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace12M"
config.num_classes = 617970
config.num_image = 12720066
config.num_epoch = 20
config.warmup_epoch = 0
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 512
config.lr = 0.4
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "mbf"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 1e-4
config.batch_size = 512
config.lr = 0.4
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = 2
config.val_targets = []
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 256
config.lr = 0.3
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = 1
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 512
config.lr = 0.6
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = 4
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 128
config.lr = 0.4
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = 2
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r50"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 512
config.lr = 0.4
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = 2
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 128
config.lr = 0.1
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = 0
config.val_targets = ['lfw', 'cfp_fp', "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 128
config.lr = 0.2
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = ['lfw', 'cfp_fp', "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.2
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 128
config.lr = 0.4
config.verbose = 10000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = ['lfw', 'cfp_fp', "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "vit_h"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.5
config.fp16 = True
config.weight_decay = 0.1
config.batch_size = 768
config.optimizer = "adamw"
config.lr = 0.001
config.verbose = 2000
config.dali = True
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 16
config.warmup_epoch = config.num_epoch // 8
config.val_targets = []
config.dali_aug = True
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r100"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.3
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 128
config.lr = 0.4
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
from easydict import EasyDict as edict
# make training faster
# our RAM is 256G
# mount -t tmpfs -o size=140G tmpfs /train_tmp
config = edict()
config.margin_list = (1.0, 0.0, 0.4)
config.network = "r18"
config.resume = False
config.output = None
config.embedding_size = 512
config.sample_rate = 0.3
config.fp16 = True
config.momentum = 0.9
config.weight_decay = 5e-4
config.batch_size = 128
config.lr = 0.4
config.verbose = 2000
config.dali = False
config.rec = "/train_tmp/WebFace42M"
config.num_classes = 2059906
config.num_image = 42474557
config.num_epoch = 20
config.warmup_epoch = config.num_epoch // 10
config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
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