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b/configs/gaitssb/finetune_casiab.yaml |
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data_cfg: |
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dataset_name: CASIA-B |
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dataset_root: your_path |
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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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dataset_name: CASIA-B |
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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: 12000 |
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save_name: GaitSSB_Finetune |
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sampler: |
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batch_shuffle: false |
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batch_size: 4 |
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sample_type: all_ordered # all indicates whole sequence used to test, while ordered means input sequence by its natural order; Other options: fixed_unordered |
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frames_all_limit: 720 # 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: BaseSilCuttingTransform |
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loss_cfg: |
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- loss_term_weight: 1.0 |
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margin: 0.3 |
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type: TripletLoss |
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log_prefix: triplet |
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model_cfg: |
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model: GaitSSB_Finetune |
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backbone_cfg: |
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type: ResNet9 |
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block: BasicBlock |
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channels: # Layers configuration for automatically model construction |
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- 64 |
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- 128 |
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- 256 |
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- 512 |
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layers: |
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- 1 |
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- 1 |
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- 1 |
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- 1 |
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strides: |
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- 1 |
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- 2 |
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- 2 |
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- 1 |
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maxpool: false |
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parts_num: 31 |
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backbone_lr: |
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- 0. |
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- 0.001 |
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- 0.001 |
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- 0.001 |
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projector_lr: 0.01 |
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optimizer_cfg: |
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lr: 0.1 |
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momentum: 0.9 |
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solver: SGD |
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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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- 6000 |
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- 8000 |
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- 10000 |
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scheduler: MultiStepLR |
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trainer_cfg: |
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find_unused_parameters: true |
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enable_float16: true # half_percesion float for memory reduction and speedup |
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fix_BN: true |
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with_test: false |
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log_iter: 100 |
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optimizer_reset: true |
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restore_ckpt_strict: false |
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restore_hint: ./output/GaitLU-1M/GaitSSB_Pretrain/GaitSSB_Pretrain/checkpoints/GaitSSB_Pretrain-150000.pt |
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save_iter: 2000 |
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save_name: GaitSSB_Finetune |
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sync_BN: true |
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total_iter: 12000 |
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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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- 16 # batch_size[1] indicates Samples sequqnce for each Identity |
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frames_num_fixed: 30 # fixed frames number for training |
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sample_type: fixed_unordered # fixed control input frames number, unordered for controlling order of input tensor; Other options: unfixed_ordered or all_ordered |
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frames_skip_num: 4 |
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type: TripletSampler |
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transform: |
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- type: BaseSilCuttingTransform |