chenxuanhong
48 lines
1.3 KiB
Python
48 lines
1.3 KiB
Python
from easydict import EasyDict as edict
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# make training faster
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# our RAM is 256G
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# mount -t tmpfs -o size=140G tmpfs /train_tmp
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config = edict()
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config.loss = "arcface"
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config.network = "r50"
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config.resume = False
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config.output = "ms1mv3_arcface_r50"
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config.embedding_size = 512
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config.sample_rate = 1
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config.fp16 = False
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config.momentum = 0.9
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config.weight_decay = 5e-4
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config.batch_size = 128
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config.lr = 0.1 # batch size is 512
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config.dali = False
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config.verbose = 2000
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config.frequent = 10
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config.score = None
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# if config.dataset == "emore":
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# config.rec = "/train_tmp/faces_emore"
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# config.num_classes = 85742
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# config.num_image = 5822653
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# config.num_epoch = 16
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# config.warmup_epoch = -1
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# config.val_targets = ["lfw", ]
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# elif config.dataset == "ms1m-retinaface-t1":
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# config.rec = "/train_tmp/ms1m-retinaface-t1"
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# config.num_classes = 93431
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# config.num_image = 5179510
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# config.num_epoch = 25
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# config.warmup_epoch = -1
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# config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
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# elif config.dataset == "glint360k":
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# config.rec = "/train_tmp/glint360k"
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# config.num_classes = 360232
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# config.num_image = 17091657
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# config.num_epoch = 20
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# config.warmup_epoch = -1
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# config.val_targets = ["lfw", "cfp_fp", "agedb_30"]
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