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models/hrnet/cls_hrnet_w64_sgd_lr5e-2_wd1e-4_bs32_x100.yaml
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GPUS: (0,1,2,3)
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LOG_DIR: 'log/'
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DATA_DIR: ''
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OUTPUT_DIR: 'output/'
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WORKERS: 4
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PRINT_FREQ: 1000
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MODEL:
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NAME: cls_hrnet
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IMAGE_SIZE:
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- 224
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- 224
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EXTRA:
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STAGE1:
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NUM_MODULES: 1
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NUM_RANCHES: 1
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BLOCK: BOTTLENECK
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NUM_BLOCKS:
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- 4
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NUM_CHANNELS:
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- 64
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FUSE_METHOD: SUM
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STAGE2:
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NUM_MODULES: 1
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NUM_BRANCHES: 2
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BLOCK: BASIC
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NUM_BLOCKS:
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- 4
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- 4
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NUM_CHANNELS:
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- 64
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- 128
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FUSE_METHOD: SUM
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STAGE3:
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NUM_MODULES: 4
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NUM_BRANCHES: 3
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BLOCK: BASIC
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NUM_BLOCKS:
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- 4
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- 4
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- 4
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NUM_CHANNELS:
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- 64
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- 128
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- 256
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FUSE_METHOD: SUM
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STAGE4:
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NUM_MODULES: 3
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NUM_BRANCHES: 4
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BLOCK: BASIC
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NUM_BLOCKS:
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- 4
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- 4
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- 4
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- 4
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NUM_CHANNELS:
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- 64
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- 128
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- 256
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- 512
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FUSE_METHOD: SUM
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CUDNN:
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BENCHMARK: true
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DETERMINISTIC: false
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ENABLED: true
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DATASET:
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DATASET: 'imagenet'
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DATA_FORMAT: 'jpg'
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ROOT: 'data/imagenet/'
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TEST_SET: 'val'
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TRAIN_SET: 'train'
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TEST:
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BATCH_SIZE_PER_GPU: 32
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MODEL_FILE: ''
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TRAIN:
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BATCH_SIZE_PER_GPU: 32
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BEGIN_EPOCH: 0
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END_EPOCH: 100
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RESUME: true
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LR_FACTOR: 0.1
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LR_STEP:
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- 30
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- 60
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- 90
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OPTIMIZER: sgd
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LR: 0.05
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WD: 0.0001
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MOMENTUM: 0.9
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NESTEROV: true
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SHUFFLE: true
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DEBUG:
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DEBUG: false
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models/hrnet/hrnetv2_w64_imagenet_pretrained.pth
ADDED
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:41ed675bcd1f4f4b62a49bad64901f08f8b67ed744b715da87738f926dae685c
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size 513111608
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