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support CASIA-E dataset
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darkliang committed Apr 9, 2023
1 parent 786aded commit e69fb6f
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102 changes: 102 additions & 0 deletions configs/gaitbase/gaitbase_casiae.yaml
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data_cfg:
dataset_name: CASIA-E
dataset_root: your_path
dataset_partition: ./datasets/CASIA-E/CASIA-E.json
num_workers: 1
remove_no_gallery: false # Remove probe if no gallery for it
test_dataset_name: CASIA-E

evaluator_cfg:
enable_float16: true
restore_ckpt_strict: true
restore_hint: 60000
save_name: GaitBase
#eval_func: GREW_submission
sampler:
batch_shuffle: false
batch_size: 16
sample_type: all_ordered # all indicates whole sequence used to test, while ordered means input sequence by its natural order; Other options: fixed_unordered
frames_all_limit: 720 # limit the number of sampled frames to prevent out of memory
metric: euc # cos
transform:
- type: BaseSilCuttingTransform

loss_cfg:
- loss_term_weight: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
- loss_term_weight: 1.0
scale: 16
type: CrossEntropyLoss
log_prefix: softmax
log_accuracy: true

model_cfg:
model: Baseline
backbone_cfg:
type: ResNet9
block: BasicBlock
channels: # Layers configuration for automatically model construction
- 64
- 128
- 256
- 512
layers:
- 1
- 1
- 1
- 1
strides:
- 1
- 2
- 2
- 1
maxpool: false
SeparateFCs:
in_channels: 512
out_channels: 256
parts_num: 16
SeparateBNNecks:
class_num: 200
in_channels: 256
parts_num: 16
bin_num:
- 16

optimizer_cfg:
lr: 0.1
momentum: 0.9
solver: SGD
weight_decay: 0.0005

scheduler_cfg:
gamma: 0.1
milestones: # Learning Rate Reduction at each milestones
- 20000
- 40000
- 50000
scheduler: MultiStepLR
trainer_cfg:
enable_float16: true # half_percesion float for memory reduction and speedup
fix_BN: false
with_test: false
log_iter: 100
restore_ckpt_strict: true
restore_hint: 0
save_iter: 20000
save_name: GaitBase
sync_BN: true
total_iter: 60000
sampler:
batch_shuffle: true
batch_size:
- 8 # TripletSampler, batch_size[0] indicates Number of Identity
- 32 # batch_size[1] indicates Samples sequqnce for each Identity
frames_num_fixed: 30 # fixed frames number for training
frames_num_max: 40 # max frames number for unfixed training
frames_num_min: 20 # min frames number for unfixed traing
sample_type: fixed_unordered # fixed control input frames number, unordered for controlling order of input tensor; Other options: unfixed_ordered or all_ordered
type: TripletSampler
transform:
- type: BaseSilCuttingTransform
82 changes: 82 additions & 0 deletions configs/gaitpart/gaitpart_casiae.yaml
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data_cfg:
dataset_name: CASIA-E
dataset_root: your_path
dataset_partition: ./datasets/CASIA-E/CASIA-E.json
num_workers: 4
remove_no_gallery: false
test_dataset_name: CASIA-E

evaluator_cfg:
enable_float16: false
restore_ckpt_strict: true
restore_hint: 120000
save_name: GaitPart
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: GaitPart
backbone_cfg:
in_channels: 1
layers_cfg:
- BC-32
- BC-32
- M
- BC-64
- BC-64
- M
- FC-128-3
- FC-128-3
- FC-256-3
- FC-256-3
type: Plain
SeparateFCs:
in_channels: 256
out_channels: 256
parts_num: 16
bin_num:
- 16

optimizer_cfg:
lr: 0.0001
momentum: 0.9
solver: Adam
weight_decay: 0.0

scheduler_cfg:
gamma: 0.1
milestones:
- 100000
scheduler: MultiStepLR

trainer_cfg:
enable_float16: true
fix_BN: false
log_iter: 100
with_test: false
restore_ckpt_strict: true
restore_hint: 0
save_iter: 120000
save_name: GaitPart
sync_BN: false
total_iter: 120000
sampler:
batch_shuffle: false
batch_size:
- 8
- 32
frames_num_fixed: 30
frames_num_max: 50
frames_num_min: 25
frames_skip_num: 10
sample_type: fixed_ordered
type: TripletSampler
77 changes: 77 additions & 0 deletions configs/gaitset/gaitset_casiae.yaml
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data_cfg:
dataset_name: CASIA-E
dataset_root: your_path
dataset_partition: ./datasets/CASIA-E/CASIA-E.json
num_workers: 1
remove_no_gallery: false
test_dataset_name: CASIA-E

evaluator_cfg:
enable_float16: false
restore_ckpt_strict: true
restore_hint: 60000
save_name: GaitSet
sampler:
batch_size: 16
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: 0.1
momentum: 0.9
solver: SGD
weight_decay: 0.0005

scheduler_cfg:
gamma: 0.1
milestones:
- 20000
- 40000
- 50000
scheduler: MultiStepLR

trainer_cfg:
enable_float16: true
log_iter: 100
with_test: false
restore_ckpt_strict: true
restore_hint: 0
save_iter: 60000
save_name: GaitSet
sync_BN: false
total_iter: 60000
sampler:
batch_shuffle: false
batch_size:
- 8
- 32
frames_num_fixed: 30
frames_num_max: 50
frames_num_min: 25
sample_type: fixed_unordered
type: TripletSampler
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