fast-reid/fastreid/modeling/backbones/regnet/regnetx/RegNetX-1.6GF_dds_8gpu.yaml

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362 B
YAML

MODEL:
TYPE: regnet
NUM_CLASSES: 1000
REGNET:
DEPTH: 18
W0: 80
WA: 34.01
WM: 2.25
GROUP_W: 24
OPTIM:
LR_POLICY: cos
BASE_LR: 0.8
MAX_EPOCH: 100
MOMENTUM: 0.9
WEIGHT_DECAY: 5e-5
WARMUP_ITERS: 5
TRAIN:
DATASET: imagenet
IM_SIZE: 224
BATCH_SIZE: 1024
TEST:
DATASET: imagenet
IM_SIZE: 256
BATCH_SIZE: 800
NUM_GPUS: 8
OUT_DIR: .