2c29afadf3
* pose * pose * pose * pose * 你的提交消息 * pose * pose * Delete train1.sh * pretreatment * configs * pose * reference * Update gaittr.py * naming * naming * Update transform.py * update for datasets * update README * update name and README * update * Update transform.py
98 lines
1.8 KiB
YAML
98 lines
1.8 KiB
YAML
data_cfg:
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dataset_name: OUMVLP
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dataset_root: your_path
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dataset_partition: ./datasets/OUMVLP/OUMVLP.json
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num_workers: 1
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remove_no_gallery: false
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test_dataset_name: OUMVLP
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evaluator_cfg:
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enable_float16: false
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restore_ckpt_strict: true
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restore_hint: 300000
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save_name: MSGG_OUMVLP
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eval_func: evaluate_indoor_dataset
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sampler:
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batch_size: 8
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sample_type: all_ordered
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type: InferenceSampler
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transform:
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- type: MSGGTransform
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prob: alphapose
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# prob: coco
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metric: euc # cos
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loss_cfg:
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- loss_term_weight: 0.3
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margin: 0.2
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type: TripletLoss
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log_prefix: triplet_joints
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- loss_term_weight: 0.2
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margin: 0.2
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type: TripletLoss
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log_prefix: triplet_limbs
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- loss_term_weight: 0.1
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margin: 0.2
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type: TripletLoss
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log_prefix: triplet_bodyparts
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- loss_term_weight: 1.0
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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: MultiScaleGaitGraph
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in_channels:
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- 3
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- 16
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- 32
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- 64
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- 128
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out_channels: 128
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graph_cfg:
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layout: 'body_12'
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strategy: 'gait_temporal'
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temporal_kernel_size: 9
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num_id: 5153
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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:
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- 75000
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- 150000
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- 225000
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scheduler: MultiStepLR
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trainer_cfg:
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enable_float16: false
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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: 2000
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save_name: MSGG_OUMVLP
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sync_BN: true
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total_iter: 300000
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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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- 8
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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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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: MSGGTransform
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prob: alphapose |