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face_alignment_wflw_hrnet_w18.yaml
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face_alignment_wflw_hrnet_w18.yaml
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GPUS: (0,)
WORKERS: 4
PRINT_FREQ: 50
DATASET:
DATASET: WFLW
ROOT: './data/wflw/images/'
TRAINSET: './data/wflw/face_landmarks_wflw_train.csv'
TESTSET: './data/wflw/face_landmarks_wflw_test.csv'
FLIP: true
SCALE_FACTOR: 0.25
ROT_FACTOR: 30
MODEL:
NAME: 'hrnet'
NUM_JOINTS: 98
INIT_WEIGHTS: true
PRETRAINED: 'hrnetv2_pretrained/hrnetv2_w18_imagenet_pretrained.pth'
SIGMA: 1.5
IMAGE_SIZE:
- 256
- 256
HEATMAP_SIZE:
- 64
- 64
EXTRA:
FINAL_CONV_KERNEL: 1
STAGE2:
NUM_MODULES: 1
NUM_BRANCHES: 2
BLOCK: BASIC
NUM_BLOCKS:
- 4
- 4
NUM_CHANNELS:
- 18
- 36
FUSE_METHOD: SUM
STAGE3:
NUM_MODULES: 4
NUM_BRANCHES: 3
BLOCK: BASIC
NUM_BLOCKS:
- 4
- 4
- 4
NUM_CHANNELS:
- 18
- 36
- 72
FUSE_METHOD: SUM
STAGE4:
NUM_MODULES: 3
NUM_BRANCHES: 4
BLOCK: BASIC
NUM_BLOCKS:
- 4
- 4
- 4
- 4
NUM_CHANNELS:
- 18
- 36
- 72
- 144
FUSE_METHOD: SUM
TRAIN:
BATCH_SIZE_PER_GPU: 16
SHUFFLE: true
BEGIN_EPOCH: 0
END_EPOCH: 60
RESUME: true
OPTIMIZER: 'adam'
LR: 0.0001
WD: 0.0
LR_STEP: [30, 50]
MOMENTUM: 0.0
NESTEROV: false
TEST:
BATCH_SIZE_PER_GPU: 8