Update GaitSSB@Pretrain_Test

configs/gaitssb/pretrain.yaml

@@ -59,7 +59,6 @@ optimizer_cfg:
   momentum: 0.9
   solver: SGD
   weight_decay: 0.0005
-  # weight_decay: 0.
 
 scheduler_cfg:
   gamma: 0.1

configs/gaitssb/pretrain_test_on_casiab.yaml

@@ -0,0 +1,93 @@
+data_cfg:
+  dataset_name: GaitLU-1M
+  dataset_root: your_path
+  dataset_partition: ./datasets/CASIA-B/CASIA-B.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: 150000
+  save_name: GaitSSB_Pretrain
+  sampler:
+    batch_shuffle: false
+    batch_size: 4
+    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
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax1
+    log_accuracy: true
+  - loss_term_weight: 1.0
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax2
+    log_accuracy: true
+
+model_cfg:
+  model: GaitSSB_Pretrain
+  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
+  parts_num: 31
+
+optimizer_cfg:
+  lr: 0.05
+  momentum: 0.9
+  solver: SGD
+  weight_decay: 0.0005
+
+scheduler_cfg:
+  gamma: 0.1
+  milestones: # Learning Rate Reduction at each milestones
+    - 80000
+    - 120000
+  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: 10000
+  save_name: GaitSSB_Pretrain
+  sync_BN: true
+  total_iter: 150000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8  # TripletSampler, batch_size[0] indicates Number of Identity
+      - 64 # batch_size[1] indicates Samples sequqnce for each Identity
+    frames_num_fixed: 16 # fixed frames number for training
+    sample_type: fixed_ordered # fixed control input frames number, unordered for controlling order of input tensor; Other options: unfixed_ordered or all_ordered
+    frames_skip_num: 4
+    type: BilateralSampler
+  transform:
+    - type: DA4GaitSSB
+      cutting: 10

configs/gaitssb/pretrain_test_on_gait3d.yaml

@@ -0,0 +1,94 @@
+data_cfg:
+  dataset_name: GaitLU-1M
+  dataset_root: your_path
+  dataset_partition: ./datasets/Gait3D/Gait3D.json
+  num_workers: 1
+  remove_no_gallery: false # Remove probe if no gallery for it
+  test_dataset_name: Gait3D
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 150000
+  save_name: GaitSSB_Pretrain
+  eval_func: evaluate_Gait3D
+  sampler:
+    batch_shuffle: false
+    batch_size: 4
+    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: cos
+  transform:
+    - type: BaseSilCuttingTransform
+
+loss_cfg:
+  - loss_term_weight: 1.0
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax1
+    log_accuracy: true
+  - loss_term_weight: 1.0
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax2
+    log_accuracy: true
+
+model_cfg:
+  model: GaitSSB_Pretrain
+  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
+  parts_num: 31
+
+optimizer_cfg:
+  lr: 0.05
+  momentum: 0.9
+  solver: SGD
+  weight_decay: 0.0005
+
+scheduler_cfg:
+  gamma: 0.1
+  milestones: # Learning Rate Reduction at each milestones
+    - 80000
+    - 120000
+  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: 10000
+  save_name: GaitSSB_Pretrain
+  sync_BN: true
+  total_iter: 150000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8  # TripletSampler, batch_size[0] indicates Number of Identity
+      - 64 # batch_size[1] indicates Samples sequqnce for each Identity
+    frames_num_fixed: 16 # fixed frames number for training
+    sample_type: fixed_ordered # fixed control input frames number, unordered for controlling order of input tensor; Other options: unfixed_ordered or all_ordered
+    frames_skip_num: 4
+    type: BilateralSampler
+  transform:
+    - type: DA4GaitSSB
+      cutting: 10

configs/gaitssb/pretrain_test_on_grew.yaml

@@ -0,0 +1,94 @@
+data_cfg:
+  dataset_name: GaitLU-1M
+  dataset_root: your_path
+  dataset_partition: ./datasets/GREW/GREW.json
+  num_workers: 1
+  remove_no_gallery: false # Remove probe if no gallery for it
+  test_dataset_name: GREW
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 150000
+  save_name: GaitSSB_Pretrain
+  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
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax1
+    log_accuracy: true
+  - loss_term_weight: 1.0
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax2
+    log_accuracy: true
+
+model_cfg:
+  model: GaitSSB_Pretrain
+  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
+  parts_num: 31
+
+optimizer_cfg:
+  lr: 0.05
+  momentum: 0.9
+  solver: SGD
+  weight_decay: 0.0005
+
+scheduler_cfg:
+  gamma: 0.1
+  milestones: # Learning Rate Reduction at each milestones
+    - 80000
+    - 120000
+  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: 10000
+  save_name: GaitSSB_Pretrain
+  sync_BN: true
+  total_iter: 150000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8  # TripletSampler, batch_size[0] indicates Number of Identity
+      - 64 # batch_size[1] indicates Samples sequqnce for each Identity
+    frames_num_fixed: 16 # fixed frames number for training
+    sample_type: fixed_ordered # fixed control input frames number, unordered for controlling order of input tensor; Other options: unfixed_ordered or all_ordered
+    frames_skip_num: 4
+    type: BilateralSampler
+  transform:
+    - type: DA4GaitSSB
+      cutting: 10

configs/gaitssb/pretrain_test_on_oumvlp.yaml

@@ -0,0 +1,93 @@
+data_cfg:
+  dataset_name: GaitLU-1M
+  dataset_root: your_path
+  dataset_partition: ./datasets/OUMVLP/OUMVLP.json
+  num_workers: 1
+  remove_no_gallery: false # Remove probe if no gallery for it
+  test_dataset_name: OUMVLP
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 150000
+  save_name: GaitSSB_Pretrain
+  sampler:
+    batch_shuffle: false
+    batch_size: 4
+    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
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax1
+    log_accuracy: true
+  - loss_term_weight: 1.0
+    scale: 16
+    type: CrossEntropyLoss
+    log_prefix: softmax2
+    log_accuracy: true
+
+model_cfg:
+  model: GaitSSB_Pretrain
+  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
+  parts_num: 31
+
+optimizer_cfg:
+  lr: 0.05
+  momentum: 0.9
+  solver: SGD
+  weight_decay: 0.0005
+
+scheduler_cfg:
+  gamma: 0.1
+  milestones: # Learning Rate Reduction at each milestones
+    - 80000
+    - 120000
+  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: 10000
+  save_name: GaitSSB_Pretrain
+  sync_BN: true
+  total_iter: 150000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8  # TripletSampler, batch_size[0] indicates Number of Identity
+      - 64 # batch_size[1] indicates Samples sequqnce for each Identity
+    frames_num_fixed: 16 # fixed frames number for training
+    sample_type: fixed_ordered # fixed control input frames number, unordered for controlling order of input tensor; Other options: unfixed_ordered or all_ordered
+    frames_skip_num: 4
+    type: BilateralSampler
+  transform:
+    - type: DA4GaitSSB
+      cutting: 10