fast-reid/projects/attribute_recognition/configs/Base-attribute.yml

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YAML

MODEL:
META_ARCHITECTURE: "AttrBaseline"
BACKBONE:
NAME: "build_resnet_backbone"
NORM: "BN"
DEPTH: "50x"
LAST_STRIDE: 2
FEAT_DIM: 2048
WITH_IBN: False
PRETRAIN: True
PRETRAIN_PATH: "/export/home/lxy/.cache/torch/checkpoints/resnet50-19c8e357.pth"
HEADS:
NAME: "AttrHead"
NORM: "BN"
WITH_BNNECK: True
POOL_LAYER: "fastavgpool"
CLS_LAYER: "linear"
NUM_CLASSES: 26
LOSSES:
NAME: ("BinaryCrossEntropyLoss",)
BCE:
WEIGHT_ENABLED: True
SCALE: 1.
INPUT:
SIZE_TRAIN: [256, 128]
SIZE_TEST: [256, 128]
REA:
ENABLED: False
DO_PAD: True
DATALOADER:
NUM_WORKERS: 8
SOLVER:
OPT: "SGD"
MAX_ITER: 30
BASE_LR: 0.01
BIAS_LR_FACTOR: 2.
HEADS_LR_FACTOR: 10.
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0.0005
IMS_PER_BATCH: 64
SCHED: "WarmupCosineAnnealingLR"
DELAY_ITERS: 5
ETA_MIN_LR: 0.00001
WARMUP_FACTOR: 0.01
WARMUP_ITERS: 5
CHECKPOINT_PERIOD: 10
TEST:
EVAL_PERIOD: 10
IMS_PER_BATCH: 256
CUDNN_BENCHMARK: True