Junhao Liang
bb6cd5149a
* fix bug in fix_BN * gaitgl OUMVLP support. * update ./doc/3.advance_usage.md Cross-Dataset Evalution & Data Agumentation * update config * update docs.3 * update docs.3 * add loss doc and gather input decorator * refine the create model doc * support rearrange directory of unzipped OUMVLP * fix some bugs in loss_aggregator.py * refine docs and little fix * add oumvlp pretreatment description * pretreatment dataset fix oumvlp description * add gaitgl oumvlp result * assert gaitgl input size * add pipeline * update the readme. * update pipeline and readme * Corrigendum. * add logo and remove path * update new logo * Update README.md * modify logo size Co-authored-by: 12131100 <12131100@mail.sustech.edu.cn> Co-authored-by: noahshen98 <77523610+noahshen98@users.noreply.github.com> Co-authored-by: Noah <595311942@qq.com>
102 lines
2.5 KiB
YAML
102 lines
2.5 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: ./misc/partitions/OUMVLP.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: OUMVLP
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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: 150000
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save_name: Baseline
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eval_func: identification
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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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# img_w: 128
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loss_cfg:
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- loss_term_weights: 1.0
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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_weights: 0.1
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scale: 16
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type: CrossEntropyLoss
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log_prefix: softmax
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log_accuracy: true
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model_cfg:
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model: Baseline
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backbone_cfg:
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in_channels: 1
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layers_cfg: # Layers configuration for automatically model construction
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- BC-32
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- BC-32
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- M
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- BC-64
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- BC-64
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- M
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- BC-128
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- BC-128
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- BC-256
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- BC-256
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type: Plain
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SeparateFCs:
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in_channels: 256
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out_channels: 256
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parts_num: 31
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SeparateBNNecks:
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class_num: 5153
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in_channels: 256
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parts_num: 31
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bin_num:
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- 16
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- 8
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- 4
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- 2
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- 1
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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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- 50000
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- 100000
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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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fix_BN: false
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log_iter: 100
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with_test: true
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restore_ckpt_strict: true
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restore_hint: 0
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save_iter: 10000
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save_name: Baseline
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sync_BN: true
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total_iter: 150000
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sampler:
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batch_shuffle: true
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batch_size:
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- 32 # 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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frames_num_max: 50 # max frames number for unfixed training
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frames_num_min: 25 # min frames number for unfixed traing
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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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type: TripletSampler
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# transform:
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# - type: BaseSilCuttingTransform
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# img_w: 128 |