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Copy pathhrnet_w18_v1.yaml
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hrnet_w18_v1.yaml
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MODEL:
NAME: seg_hrnet
PRETRAINED: 'data/pretrained_models/hrnet_w18_v1.pth'
EXTRA:
FINAL_CONV_KERNEL: 1
STAGE1:
NUM_MODULES: 1
NUM_RANCHES: 1
BLOCK: BOTTLENECK
NUM_BLOCKS:
- 1
NUM_CHANNELS:
- 32
FUSE_METHOD: SUM
STAGE2:
NUM_MODULES: 1
NUM_BRANCHES: 2
BLOCK: BASIC
NUM_BLOCKS:
- 2
- 2
NUM_CHANNELS:
- 16
- 32
FUSE_METHOD: SUM
STAGE3:
NUM_MODULES: 1
NUM_BRANCHES: 3
BLOCK: BASIC
NUM_BLOCKS:
- 2
- 2
- 2
NUM_CHANNELS:
- 16
- 32
- 64
FUSE_METHOD: SUM
STAGE4:
NUM_MODULES: 1
NUM_BRANCHES: 4
BLOCK: BASIC
NUM_BLOCKS:
- 2
- 2
- 2
- 2
NUM_CHANNELS:
- 16
- 32
- 64
- 128
FUSE_METHOD: SUM