fast-reid/fastreid/modeling/backbones/regnet/effnet/EN-B4_dds_8gpu.yaml

28 lines
486 B
YAML

MODEL:
TYPE: effnet
NUM_CLASSES: 1000
EN:
STEM_W: 48
STRIDES: [1, 2, 2, 2, 1, 2, 1]
DEPTHS: [2, 4, 4, 6, 6, 8, 2]
WIDTHS: [24, 32, 56, 112, 160, 272, 448]
EXP_RATIOS: [1, 6, 6, 6, 6, 6, 6]
KERNELS: [3, 3, 5, 3, 5, 5, 3]
HEAD_W: 1792
OPTIM:
LR_POLICY: cos
BASE_LR: 0.2
MAX_EPOCH: 100
MOMENTUM: 0.9
WEIGHT_DECAY: 1e-5
TRAIN:
DATASET: imagenet
IM_SIZE: 380
BATCH_SIZE: 128
TEST:
DATASET: imagenet
IM_SIZE: 434
BATCH_SIZE: 104
NUM_GPUS: 8
OUT_DIR: .