fast-reid/fastreid/modeling/backbones/regnet/effnet/EN-B5_dds_8gpu.yaml

28 lines
484 B
YAML

MODEL:
TYPE: effnet
NUM_CLASSES: 1000
EN:
STEM_W: 48
STRIDES: [1, 2, 2, 2, 1, 2, 1]
DEPTHS: [3, 5, 5, 7, 7, 9, 3]
WIDTHS: [24, 40, 64, 128, 176, 304, 512]
EXP_RATIOS: [1, 6, 6, 6, 6, 6, 6]
KERNELS: [3, 3, 5, 3, 5, 5, 3]
HEAD_W: 2048
OPTIM:
LR_POLICY: cos
BASE_LR: 0.1
MAX_EPOCH: 100
MOMENTUM: 0.9
WEIGHT_DECAY: 1e-5
TRAIN:
DATASET: imagenet
IM_SIZE: 456
BATCH_SIZE: 64
TEST:
DATASET: imagenet
IM_SIZE: 522
BATCH_SIZE: 48
NUM_GPUS: 8
OUT_DIR: .