Support skeleton (#155)
* 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
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data_cfg:
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dataset_name: Gait3D
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dataset_root: your_path
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dataset_partition: ./datasets/Gait3D/Gait3D.json
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test_dataset_name: Gait3D
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num_workers: 8
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remove_no_gallery: false
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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: 2000
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save_name: GaitGraph2
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sampler:
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batch_size: 256
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frames_num_fixed: 60
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frames_num_max: 50
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frames_num_min: 25
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sample_type: fixed_ordered
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frames_skip_num: 0
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metric: cos
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eval_func: evaluate_Gait3D
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transform:
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- type: GaitGraphMultiInput
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loss_cfg:
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- loss_term_weight: 1
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temperature: 0.01
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type: SupConLoss_Lp
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log_prefix: SupConLoss
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model_cfg:
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model: GaitGraph2
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joint_format: coco
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input_num: 3
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reduction: 8
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block: Bottleneck # Basic, initial
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input_branch:
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- 5
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- 64
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- 32
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main_stream:
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- 32
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- 128
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- 256
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num_class: 128
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tta: true
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optimizer_cfg:
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lr: 0.005 #0.005
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solver: AdamW
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weight_decay: 0.00001
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scheduler_cfg:
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max_lr: 0.005
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total_steps: 2000
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scheduler: OneCycleLR
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trainer_cfg:
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enable_float16: false
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log_iter: 20
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with_test: true
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restore_ckpt_strict: false
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restore_hint: 0
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save_iter: 200
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save_name: GaitGraph2
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sync_BN: true
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total_iter: 2000
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sampler:
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batch_shuffle: true
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frames_num_fixed: 60
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frames_num_max: 50
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frames_num_min: 25
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sample_type: fixed_ordered #Repeat sample
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frames_skip_num: 0
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batch_size: 768
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type: CommonSampler
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transform:
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- type: Compose
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trf_cfg:
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- type: FlipSequence
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probability: 0.5
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- type: InversePosesPre
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probability: 0.1
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- type: JointNoise
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std: 0.25
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- type: PointNoise
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std: 0.05
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- type: RandomMove
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random_r:
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- 4
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- 1
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- type: GaitGraphMultiInput
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