fast-reid/fastreid/modeling/backbones/regnet/effnet/EN-B0_dds_8gpu.yaml

28 lines
485 B
YAML

MODEL:
TYPE: effnet
NUM_CLASSES: 1000
EN:
STEM_W: 32
STRIDES: [1, 2, 2, 2, 1, 2, 1]
DEPTHS: [1, 2, 2, 3, 3, 4, 1]
WIDTHS: [16, 24, 40, 80, 112, 192, 320]
EXP_RATIOS: [1, 6, 6, 6, 6, 6, 6]
KERNELS: [3, 3, 5, 3, 5, 5, 3]
HEAD_W: 1280
OPTIM:
LR_POLICY: cos
BASE_LR: 0.4
MAX_EPOCH: 100
MOMENTUM: 0.9
WEIGHT_DECAY: 1e-5
TRAIN:
DATASET: imagenet
IM_SIZE: 224
BATCH_SIZE: 256
TEST:
DATASET: imagenet
IM_SIZE: 256
BATCH_SIZE: 200
NUM_GPUS: 8
OUT_DIR: .