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3d3d.yaml
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35 lines (35 loc) · 828 Bytes
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MODEL: 'Regression'
ENCODER:
TYPE: 'ResUNet'
BLOCK_TYPE: 1
NUM_BLOCKS: '3-3-3'
NOT_CONCAT: False
NUM_OUT_LAYERS: 32
AGGREGATOR:
TYPE: 'CorrelationVolumeWarping'
POSITION_ENCODER: True
MAX_SCORE_CHANNEL: True
HEAD:
TYPE: 'ProcrustesDeepResBlock'
ADD_BASIS: True
AVG_POOL: True
TRAINING:
BATCH_SIZE: 10
NUM_WORKERS: 10
SAMPLER: 'scene_balance'
N_SAMPLES_SCENE: 700
SAMPLE_WITH_REPLACEMENT: True
LR: 1e-4
LOG_INTERVAL: 50
VAL_INTERVAL: 0.25
VAL_BATCHES: 500
EPOCHS: 50
ROT_LOSS: 'rot_angle_loss'
TRANS_LOSS: 'trans_l1_loss'
LAMBDA: 1.
BACKPROJECT_ANCHORS: False
DATASET:
HEIGHT: 360
WIDTH: 270
MIN_OVERLAP_SCORE: 0.4 # [train only] discard data with overlap_score < min_overlap_score
MAX_OVERLAP_SCORE: 0.8 # [train only] discard data with overlap_score < min_overlap_score