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gaitset_OUMVLP.yaml
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gaitset_OUMVLP.yaml
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data_cfg:
dataset_name: OUMVLP
dataset_root: your_path
dataset_partition: ./datasets/OUMVLP/OUMVLP.json
num_workers: 4
remove_no_gallery: false
test_dataset_name: OUMVLP
evaluator_cfg:
enable_float16: true
restore_ckpt_strict: true
restore_hint: 250000
save_name: GaitSet
sampler:
batch_size: 4
sample_type: all_ordered
type: InferenceSampler
metric: euc # cos
loss_cfg:
loss_term_weight: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
model_cfg:
model: GaitSet
in_channels:
- 1
- 64
- 128
- 256
SeparateFCs:
in_channels: 256
out_channels: 256
parts_num: 62
bin_num:
- 16
- 8
- 4
- 2
- 1
optimizer_cfg:
lr: 0.0001
momentum: 0.9
solver: Adam
weight_decay: 0
scheduler_cfg:
gamma: 0.1
milestones:
- 150000
scheduler: MultiStepLR
trainer_cfg:
enable_float16: true
fix_BN: false
with_test: true
log_iter: 100
restore_ckpt_strict: true
restore_hint: 0
save_iter: 10000
save_name: GaitSet
sync_BN: false
total_iter: 250000
sampler:
batch_shuffle: false
batch_size:
- 32
- 16
frames_num_fixed: 30
frames_num_max: 50
frames_num_min: 25
sample_type: fixed_unordered
type: TripletSampler