mirror of
https://github.com/deepinsight/insightface.git
synced 2026-05-17 14:26:08 +00:00
59 lines
1.2 KiB
Python
59 lines
1.2 KiB
Python
from easydict import EasyDict as edict
|
|
|
|
# make training faster
|
|
# our RAM is 256G
|
|
# mount -t tmpfs -o size=140G tmpfs /train_tmp
|
|
|
|
config = edict()
|
|
|
|
# Margin Base Softmax
|
|
config.margin_list = (1.0, 0.5, 0.0)
|
|
config.network = "r50"
|
|
config.resume = False
|
|
config.save_all_states = False
|
|
config.output = "ms1mv3_arcface_r50"
|
|
|
|
config.embedding_size = 512
|
|
|
|
# Partial FC
|
|
config.sample_rate = 1
|
|
config.interclass_filtering_threshold = 0
|
|
|
|
config.fp16 = False
|
|
config.batch_size = 128
|
|
|
|
# For SGD
|
|
config.optimizer = "sgd"
|
|
config.lr = 0.1
|
|
config.momentum = 0.9
|
|
config.weight_decay = 5e-4
|
|
|
|
# For AdamW
|
|
# config.optimizer = "adamw"
|
|
# config.lr = 0.001
|
|
# config.weight_decay = 0.1
|
|
|
|
config.verbose = 2000
|
|
config.frequent = 10
|
|
|
|
# For Large Sacle Dataset, such as WebFace42M
|
|
config.dali = False
|
|
|
|
# Gradient ACC
|
|
config.gradient_acc = 1
|
|
|
|
# setup seed
|
|
config.seed = 2048
|
|
|
|
# dataload numworkers
|
|
config.num_workers = 2
|
|
|
|
# WandB Logger
|
|
config.wandb_key = "XXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXXX"
|
|
config.suffix_run_name = None
|
|
config.using_wandb = False
|
|
config.wandb_entity = "entity"
|
|
config.wandb_project = "project"
|
|
config.wandb_log_all = True
|
|
config.save_artifacts = False
|
|
config.wandb_resume = False # resume wandb run: Only if the you wand t resume the last run that it was interrupted |