OpenGait release(pre-beta version).

This commit is contained in:
梁峻豪
2021-10-18 14:30:21 +08:00
commit 57ee4a448e
41 changed files with 3772 additions and 0 deletions
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data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
dataset_partition: ./misc/partitions/CASIA-B_include_005.json
num_workers: 1
remove_no_gallery: false # Remove probe if no gallery for it
test_dataset_name: CASIA-B
evaluator_cfg:
enable_float16: true
restore_ckpt_strict: true
restore_hint: 60000
save_name: Baseline
eval_func: identification
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
# img_w: 128
loss_cfg:
- loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
- loss_term_weights: 0.1
scale: 16
type: CrossEntropyLoss
log_prefix: softmax
log_accuracy: true
model_cfg:
model: Baseline
backbone_cfg:
in_channels: 1
layers_cfg: # Layers configuration for automatically model construction
- BC-64
- BC-64
- M
- BC-128
- BC-128
- M
- BC-256
- BC-256
# - M
# - BC-512
# - BC-512
type: Plain
SeparateFCs:
in_channels: 256
out_channels: 256
parts_num: 31
SeparateBNNecks:
class_num: 74
in_channels: 256
parts_num: 31
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: # Learning Rate Reduction at each milestones
- 20000
- 40000
scheduler: MultiStepLR
trainer_cfg:
enable_float16: true # half_percesion float for memory reduction and speedup
fix_BN: false
log_iter: 100
restore_ckpt_strict: true
restore_hint: 0
save_iter: 10000
save_name: Baseline
sync_BN: true
total_iter: 60000
sampler:
batch_shuffle: true
batch_size:
- 8 # TripletSampler, batch_size[0] indicates Number of Identity
- 16 # batch_size[1] indicates Samples sequqnce for each Identity
frames_num_fixed: 30 # fixed frames number for training
frames_num_max: 50 # max frames number for unfixed training
frames_num_min: 25 # min frames number for unfixed traing
sample_type: fixed_unordered # fixed control input frames number, unordered for controling order of input tensor; Other options: unfixed_ordered or all_ordered
type: TripletSampler
# transform:
# - type: BaseSilCuttingTransform
# img_w: 128
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data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
num_workers: 1
dataset_partition: ./misc/partitions/CASIA-B.json
remove_no_gallery: false
cache: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_float16: false
restore_ckpt_strict: true
restore_hint: 80000
save_name: tmp
eval_func: identification
sampler:
batch_size: 4
sample_type: all_ordered
type: InferenceSampler
transform:
- img_w: 64
type: BaseSilCuttingTransform
metric: euc # cos
loss_cfg:
loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
model_cfg:
model: Baseline
optimizer_cfg:
lr: 0.1
momentum: 0.9
solver: SGD
weight_decay: 0.0005
scheduler_cfg:
gamma: 0.1
milestones:
- 20000
- 40000
- 60000
scheduler: MultiStepLR
trainer_cfg:
enable_float16: true
with_test: false
fix_BN: false
log_iter: 100
restore_ckpt_strict: true
optimizer_reset: false
scheduler_reset: false
restore_hint: 0
save_iter: 2000
save_name: tmp
sync_BN: false
total_iter: 80000
sampler:
batch_shuffle: false
batch_size:
- 8
- 16
frames_num_fixed: 30
frames_num_max: 50
frames_num_min: 25
sample_type: fixed_unordered
type: TripletSampler
transform:
- img_w: 64
type: BaseSilCuttingTransform
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# Note : *** the batch_size should be equal to the gpus number at the test phase!!! ***
data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
dataset_partition: ./misc/partitions/CASIA-B_include_005.json
num_workers: 1
remove_no_gallery: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_distributed: true
enable_float16: false
restore_ckpt_strict: true
restore_hint: 80000
save_name: GaitGL
sampler:
batch_size: 4
sample_type: all_ordered
type: InferenceSampler
loss_cfg:
- loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
- loss_term_weights: 1.0
scale: 1
type: CrossEntropyLoss
log_accuracy: true
label_smooth: false
log_prefix: softmax
model_cfg:
model: GaitGL
channels: [32, 64, 128]
class_num: 74
optimizer_cfg:
lr: 1.0e-4
solver: Adam
weight_decay: 5.0e-4
scheduler_cfg:
gamma: 0.1
milestones:
- 70000
scheduler: MultiStepLR
trainer_cfg:
enable_distributed: true
enable_float16: false
fix_BN: false
log_iter: 100
restore_ckpt_strict: true
restore_hint: 0
save_iter: 10000
save_name: GaitGL
sync_BN: true
total_iter: 80000
sampler:
batch_shuffle: true
batch_size:
- 8
- 8
frames_num_fixed: 30
frames_skip_num: 0
sample_type: fixed_ordered
type: TripletSampler
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data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
num_workers: 1
remove_no_gallery: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_float16: false
restore_ckpt_strict: true
restore_hint: 120000
save_name: GaitPart
sampler:
batch_size: 16
sample_type: all_ordered
type: InferenceSampler
metric: euc # cos
loss_cfg:
loss_term_weights: 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
- FC-64-2
- FC-64-2
- M
- FC-128-3
- FC-128-3
type: Plain
SeparateFCs:
in_channels: 128
out_channels: 128
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
restore_ckpt_strict: true
restore_hint: 0
save_iter: 10000
save_name: GaitPart
sync_BN: false
total_iter: 120000
sampler:
batch_shuffle: false
batch_size:
- 8
- 16
frames_num_fixed: 30
frames_num_max: 50
frames_num_min: 25
frames_skip_num: 10
sample_type: fixed_ordered
type: TripletSampler
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data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
num_workers: 1
remove_no_gallery: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_float16: false
restore_ckpt_strict: true
restore_hint: 40000
save_name: GaitSet
sampler:
batch_size: 16
sample_type: all_ordered
type: InferenceSampler
metric: euc # cos
loss_cfg:
loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
model_cfg:
model: GaitSet
in_channels:
- 1
- 32
- 64
- 128
SeparateFCs:
in_channels: 128
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:
- 10000
- 20000
- 30000
scheduler: MultiStepLR
trainer_cfg:
enable_float16: true
fix_BN: false
log_iter: 100
restore_ckpt_strict: true
restore_hint: 0
save_iter: 10000
save_name: GaitSet
sync_BN: false
total_iter: 42000
sampler:
batch_shuffle: false
batch_size:
- 8
- 16
frames_num_fixed: 30
frames_num_max: 50
frames_num_min: 25
sample_type: fixed_unordered
type: TripletSampler
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data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
dataset_partition: ./misc/partitions/CASIA-B_include_005.json
num_workers: 1
cache: false
remove_no_gallery: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_distributed: true
enable_float16: false
restore_ckpt_strict: true
restore_hint: 40000
save_name: GLN_P1
sampler:
batch_size: 2
sample_type: all_ordered
type: InferenceSampler
metric: euc # euc
transform:
- img_w: 128
type: BaseSilCuttingTransform
loss_cfg:
- loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
# - loss_term_weights: 0.1
# scale: 1
# type: CrossEntropyLoss
# log_prefix: softmax
model_cfg:
model: GLN
class_num: 74
lateral_dim : 256
hidden_dim : 256
dropout : 0.9
in_channels:
- 1
- 32
- 64
- 128
SeparateFCs:
in_channels: 256
out_channels: 256
parts_num: 93
bin_num:
- 16
- 8
- 4
- 2
- 1
Lateral_pretraining: true
optimizer_cfg:
lr: 0.1
momentum: 0.9
solver: SGD
weight_decay: 0.0005
# lr: 0.0001
# momentum: 0.9
# solver: Adam
# weight_decay: 0.0005
scheduler_cfg:
gamma: 0.1
milestones:
- 10000
- 20000
- 30000
scheduler: MultiStepLR
trainer_cfg:
enable_distributed: true
enable_float16: true
fix_BN: false
with_test: false
log_iter: 100
optimizer_reset: false
restore_ckpt_strict: true
restore_hint: 0
save_iter: 2000
save_name: GLN_P1
sync_BN: true
total_iter: 40000
sampler:
batch_shuffle: false
batch_size:
- 8
- 16
frames_num_fixed: 30
frames_skip_num: 0
sample_type: fixed_ordered
type: TripletSampler
transform:
- img_w: 128
type: BaseSilCuttingTransform
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data_cfg:
dataset_name: CASIA-B
dataset_root: your_path
dataset_partition: ./misc/partitions/CASIA-B_include_005.json
num_workers: 1
remove_no_gallery: false
test_dataset_name: CASIA-B
evaluator_cfg:
enable_distributed: true
enable_float16: false
restore_ckpt_strict: true
restore_hint: 40000
save_name: GLN_P2
sampler:
batch_size: 2
sample_type: all_ordered
type: InferenceSampler
metric: euc # euc
transform:
- img_w: 128
type: BaseSilCuttingTransform
loss_cfg:
- loss_term_weights: 1.0
margin: 0.2
type: TripletLoss
log_prefix: triplet
- loss_term_weights: 0.1
scale: 16
type: CrossEntropyLoss
log_prefix: softmax
model_cfg:
model: GLN
class_num: 74
lateral_dim : 256
hidden_dim : 256
dropout : 0.9
in_channels:
- 1
- 32
- 64
- 128
SeparateFCs:
in_channels: 256
out_channels: 256
parts_num: 93
bin_num:
- 16
- 8
- 4
- 2
- 1
Lateral_pretraining: false
optimizer_cfg:
lr: 0.01
momentum: 0.9
solver: SGD
weight_decay: 0.0005
scheduler_cfg:
gamma: 0.1
milestones:
- 10000
- 20000
- 30000
scheduler: MultiStepLR
trainer_cfg:
enable_distributed: true
enable_float16: true
fix_BN: false
log_iter: 100
optimizer_reset: true
scheduler_reset: true
restore_ckpt_strict: false
restore_hint: output/CASIA-B/GLN/GLN_P1/checkpoints/GLN_P1-40000.pt
save_iter: 2000
save_name: GLN_P2
sync_BN: true
total_iter: 40000
sampler:
batch_shuffle: false
batch_size:
- 8
- 16
frames_num_fixed: 30
frames_skip_num: 0
sample_type: fixed_ordered
type: TripletSampler
transform:
- img_w: 128
type: BaseSilCuttingTransform