data_cfg: dataset_name: CASIA-B* dataset_root: your_path data_in_use: [false, true, true, true] dataset_partition: ./datasets/CASIA-B*/CASIA-B*.json num_workers: 1 remove_no_gallery: false # Remove probe if no gallery for it test_dataset_name: CASIA-B cache: false evaluator_cfg: enable_float16: true restore_ckpt_strict: true restore_hint: 20000 save_name: GaitEdge sampler: batch_size: 4 sample_type: all_ordered type: InferenceSampler frames_all_limit: 512 # limit the number of sampled frames to prevent out of memory metric: euc # cos transform: - type: NoOperation - type: BaseRgbTransform - type: BaseSilTransform loss_cfg: - loss_term_weight: 1 margin: 0.2 type: TripletLoss log_prefix: triplet - loss_term_weight: 10 type: BinaryCrossEntropyLoss log_prefix: bce - loss_term_weight: 1 scale: 1 type: CrossEntropyLoss log_accuracy: true label_smooth: false log_prefix: softmax model_cfg: model: GaitEdge GaitGL: channels: [32, 64, 128] class_num: 74 Segmentation: type: U_Net in_channels: 3 freeze_half: true edge: true align: true seg_lr: 0.00001 kernel_size: 3 optimizer_cfg: lr: 0.0001 solver: Adam weight_decay: 0.0005 scheduler_cfg: gamma: 0.1 milestones: # Learning Rate Reduction at each milestones - 10000 scheduler: MultiStepLR trainer_cfg: enable_float16: true # half_percesion float for memory reduction and speedup with_test: true log_iter: 100 restore_ckpt_strict: false optimizer_reset: true scheduler_reset: true sync_BN: true restore_hint: - Segmentation-25000.pt - GaitGL-80000.pt save_iter: 2000 save_name: GaitEdge total_iter: 20000 sampler: batch_shuffle: true batch_size: - 8 # TripletSampler, batch_size[0] indicates Number of Identity - 8 # batch_size[1] indicates Samples sequqnce for each Identity frames_num_fixed: 30 frames_skip_num: 0 sample_type: fixed_ordered type: TripletSampler transform: - type: NoOperation - type: BaseRgbTransform - type: BaseSilTransform