Example-Research-COAT/Code/Python/output/config.yaml

131 lines
2.5 KiB
YAML

CKPT_PERIOD: 1
DEVICE: cuda:0
DISP_PERIOD: 10
EVAL_FEATURE: concat
EVAL_GALLERY_SIZE: 100
EVAL_PERIOD: 1
EVAL_USE_CACHE: false
EVAL_USE_CBGM: false
EVAL_USE_GT: false
GRID:
MODE: 1
OFFSET: 0
PROB: 0.5
RATIO: 0.5
ROTATE: 1
INPUT:
BATCH_SIZE_TEST: 1
BATCH_SIZE_TRAIN: 1
DATASET: CUHK-SYSU
DATA_ROOT: E:/DeepLearning/PersonSearch/COAT/datasets/CUHK-SYSU
IMAGE_CUTOUT: false
IMAGE_ERASE: false
IMAGE_GRID: false
IMAGE_MIXUP: false
MAX_SIZE: 1500
MIN_SIZE: 900
NUM_WORKERS_TEST: 1
NUM_WORKERS_TRAIN: 5
MODEL:
EMBEDDING_DIM: 256
FEATURE_AUG_TYPE: exchange_token
FEATURE_MASK_SIZE: 4
LOSS:
CQ_SIZE: 5000
LUT_SIZE: 5532
OIM_MOMENTUM: 0.5
OIM_SCALAR: 30.0
USE_SOFTMAX: true
MASK_MODE: random_direction
MASK_PERCENT: 0.1
MASK_SHAPE: stripe
MASK_SIZE: 1
ROI_HEAD:
BATCH_SIZE_TRAIN: 128
BN_NECK: true
DETECTIONS_PER_IMAGE_TEST: 300
NEG_THRESH_TRAIN: 0.5
NEG_THRESH_TRAIN_2ND: 0.6
NEG_THRESH_TRAIN_3RD: 0.7
NMS_THRESH_TEST: 0.4
NMS_THRESH_TEST_1ST: 0.4
NMS_THRESH_TEST_2ND: 0.4
NMS_THRESH_TEST_3RD: 0.5
POS_FRAC_TRAIN: 0.25
POS_THRESH_TRAIN: 0.5
POS_THRESH_TRAIN_2ND: 0.6
POS_THRESH_TRAIN_3RD: 0.7
SCORE_THRESH_TEST: 0.5
USE_DIFF_THRESH: true
RPN:
BATCH_SIZE_TRAIN: 256
NEG_THRESH_TRAIN: 0.3
NMS_THRESH: 0.7
POST_NMS_TOPN_TEST: 300
POST_NMS_TOPN_TRAIN: 2000
POS_FRAC_TRAIN: 0.5
POS_THRESH_TRAIN: 0.7
PRE_NMS_TOPN_TEST: 6000
PRE_NMS_TOPN_TRAIN: 12000
TRANSFORMER:
DIM_MODEL: 512
DROPOUT: 0.0
ENCODER_LAYERS: 1
KERNEL_SIZE_1ST:
- &id001
- 1
- 1
- &id002
- 3
- 3
KERNEL_SIZE_2ND:
- *id001
- *id002
KERNEL_SIZE_3RD:
- *id001
- *id002
NAMES_1ST:
- scale1
- scale2
NAMES_2ND:
- scale1
- scale2
NAMES_3RD:
- scale1
- scale2
N_HEAD: 8
USE_DIFF_SCALE: true
USE_GLOBAL_SHORTCUT: true
USE_LOCAL_SHORTCUT: true
USE_MASK_1ST: false
USE_MASK_2ND: true
USE_MASK_3RD: true
USE_OUTPUT_LAYER: false
USE_PATCH2VEC: true
USE_FEATURE_MASK: true
OUTPUT_DIR: ./output
SEED: 1
SOLVER:
BASE_LR: 0.003
CLIP_GRADIENTS: 10.0
GAMMA: 0.1
LR_DECAY_MILESTONES:
- 10
- 14
LW_RCNN_CLS_1ST: 1
LW_RCNN_CLS_2ND: 1
LW_RCNN_CLS_3RD: 1
LW_RCNN_REG_1ST: 10
LW_RCNN_REG_2ND: 10
LW_RCNN_REG_3RD: 10
LW_RCNN_REID_2ND: 0.5
LW_RCNN_REID_3RD: 0.5
LW_RCNN_SOFTMAX_2ND: 0.5
LW_RCNN_SOFTMAX_3RD: 0.5
LW_RPN_CLS: 1
LW_RPN_REG: 1
MAX_EPOCHS: 13
SGD_MOMENTUM: 0.9
WEIGHT_DECAY: 0.0005
TF_BOARD: true