darkliang
91 lines
2.1 KiB
YAML
91 lines
2.1 KiB
YAML
data_cfg:
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dataset_name: CASIA-B*
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dataset_root: your_path
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data_in_use: [false, true, true, true]
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dataset_partition: ./datasets/CASIA-B*/CASIA-B*.json
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num_workers: 1
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remove_no_gallery: false # Remove probe if no gallery for it
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test_dataset_name: CASIA-B
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cache: false
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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: 20000
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save_name: GaitGL_E2E
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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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frames_all_limit: 512 # limit the number of sampled frames to prevent out of memory
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metric: euc # cos
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transform:
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- type: NoOperation
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- type: BaseRgbTransform
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- type: BaseSilTransform
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loss_cfg:
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- loss_term_weight: 1
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margin: 0.2
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type: TripletLoss
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log_prefix: triplet
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- loss_term_weight: 10
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type: BinaryCrossEntropyLoss
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log_prefix: bce
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- loss_term_weight: 1
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scale: 1
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type: CrossEntropyLoss
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log_accuracy: true
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label_smooth: false
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log_prefix: softmax
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model_cfg:
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model: GaitEdge
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GaitGL:
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channels: [32, 64, 128]
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class_num: 74
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Segmentation:
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type: U_Net
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in_channels: 3
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freeze_half: true
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edge: false
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align: true
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seg_lr: 0.00001
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optimizer_cfg:
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lr: 0.0001
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solver: Adam
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weight_decay: 0.0005
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scheduler_cfg:
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gamma: 0.1
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milestones: # Learning Rate Reduction at each milestones
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- 10000
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scheduler: MultiStepLR
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trainer_cfg:
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enable_float16: true # half_percesion float for memory reduction and speedup
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with_test: true
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log_iter: 100
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restore_ckpt_strict: false
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optimizer_reset: true
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scheduler_reset: true
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sync_BN: true
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restore_hint:
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- Segmentation-25000.pt
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- GaitGL-80000.pt
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save_iter: 2000
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save_name: GaitGL_E2E
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total_iter: 20000
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sampler:
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batch_shuffle: true
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batch_size:
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- 8 # TripletSampler, batch_size[0] indicates Number of Identity
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- 8 # batch_size[1] indicates Samples sequqnce for each Identity
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frames_num_fixed: 30
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frames_skip_num: 0
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sample_type: fixed_ordered
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type: TripletSampler
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transform:
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- type: NoOperation
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- type: BaseRgbTransform
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- type: BaseSilTransform
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