darkliang
77 lines
1.4 KiB
YAML
77 lines
1.4 KiB
YAML
data_cfg:
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dataset_name: GREW
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dataset_root: your_path
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dataset_partition: ./datasets/GREW/GREW.json
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num_workers: 4
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remove_no_gallery: false # Remove probe if no gallery for it
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test_dataset_name: GREW
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evaluator_cfg:
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enable_float16: true
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restore_ckpt_strict: true
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restore_hint: 250000
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save_name: GaitSet
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eval_func: GREW_submission # identification_real_scene # identification_GREW_submission
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sampler:
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batch_size: 4
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sample_type: all_ordered
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type: InferenceSampler
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metric: euc # cos
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loss_cfg:
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loss_term_weight: 1.0
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margin: 0.2
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type: TripletLoss
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log_prefix: triplet
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model_cfg:
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model: GaitSet
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in_channels:
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- 1
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- 64
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- 128
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- 256
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SeparateFCs:
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in_channels: 256
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out_channels: 256
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parts_num: 62
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bin_num:
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- 16
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- 8
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- 4
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- 2
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- 1
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optimizer_cfg:
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lr: 0.0001
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momentum: 0.9
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solver: Adam
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weight_decay: 0
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scheduler_cfg:
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gamma: 0.1
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milestones:
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- 150000
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scheduler: MultiStepLR
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trainer_cfg:
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enable_float16: true
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fix_BN: false
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with_test: false
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log_iter: 100
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restore_ckpt_strict: true
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restore_hint: 0
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save_iter: 10000
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save_name: GaitSet
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sync_BN: false
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total_iter: 250000
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sampler:
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batch_shuffle: false
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batch_size:
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- 32
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- 4
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frames_num_fixed: 30
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frames_num_max: 50
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frames_num_min: 25
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sample_type: fixed_unordered
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type: TripletSampler |