Delete configs/baseline directory

The 'baseline' series is abandoned since GaitBase can better serve as a baseline model for OpenGait.

configs/baseline/baseline.yaml

@@ -1,99 +0,0 @@
-data_cfg:
-  dataset_name: CASIA-B
-  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: 60000
-  save_name: Baseline
-  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: 64
-
-loss_cfg:
-  - loss_term_weight: 1.0
-    margin: 0.2
-    type: TripletLoss
-    log_prefix: triplet
-  - loss_term_weight: 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
-    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
-  with_test: true
-  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 controlling order of input tensor; Other options: unfixed_ordered or all_ordered
-    type: TripletSampler
-  transform:
-    - type: BaseSilCuttingTransform
-      img_w: 64

configs/baseline/baseline_GREW.yaml

@@ -1,103 +0,0 @@
-data_cfg:
-  dataset_name: GREW
-  dataset_root: /home/data/grew-pkl-fixed
-  dataset_partition: ./datasets/GREW/GREW.json
-  num_workers: 16
-  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: 250000
-  save_name: Baseline
-  eval_func: GREW_submission # identification_real_scene # identification_GREW_submission
-  sampler:
-    batch_shuffle: false
-    batch_size: 64
-    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: 64
-
-loss_cfg:
-  - loss_term_weight: 1.0
-    margin: 0.2
-    type: TripletLoss
-    log_prefix: triplet
-  - loss_term_weight: 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-32
-      - BC-32
-      - M
-      - BC-64
-      - BC-64
-      - M
-      - BC-128
-      - BC-128
-      - BC-256
-      - BC-256
-      # - M
-      # - BC-512
-      # - BC-512
-    type: Plain
-  SeparateFCs:
-    in_channels: 256
-    out_channels: 256
-    parts_num: 16
-  SeparateBNNecks:
-    class_num: 20000
-    in_channels: 256
-    parts_num: 16
-  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
-    - 150000
-  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: 250000
-  sampler:
-    batch_shuffle: true
-    batch_size:
-      - 32 # TripletSampler, batch_size[0] indicates Number of Identity
-      - 8 #                 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 controlling order of input tensor; Other options: unfixed_ordered or all_ordered
-    type: TripletSampler
-  transform:
-    - type: BaseSilCuttingTransform
-      img_w: 64

configs/baseline/baseline_Gait3D.yaml

@@ -1,104 +0,0 @@
-data_cfg:
-  dataset_name: Gait3D
-  dataset_root: your_path
-  dataset_partition: datasets/Gait3D/Gait3D.json
-  data_in_use: [true, false]
-  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: 60000
-  save_name: Baseline
-  eval_func: evaluate_Gait3D
-  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 euc
-  transform:
-    - type: BaseSilCuttingTransform
-
-loss_cfg:
-  - loss_term_weight: 1.0
-    margin: 0.2
-    type: TripletLoss
-    log_prefix: triplet
-  - loss_term_weight: 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: 3000
-    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
-    - 50000
-  scheduler: MultiStepLR
-
-trainer_cfg:
-  enable_float16: true # half_percesion float for memory reduction and speedup
-  fix_BN: false
-  log_iter: 100
-  with_test: true
-  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:
-      - 32 # TripletSampler, batch_size[0] indicates Number of Identity
-      - 4 #                 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 controlling order of input tensor; Other options: unfixed_ordered or all_ordered
-    type: TripletSampler
-  transform:
-    - type: BaseSilCuttingTransform

configs/baseline/baseline_OUMVLP.yaml

@@ -1,101 +0,0 @@
-data_cfg:
-  dataset_name: OUMVLP
-  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: Baseline
-  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
-  #     img_w: 128
-
-loss_cfg:
-  - loss_term_weight: 1.0
-    margin: 0.2
-    type: TripletLoss
-    log_prefix: triplet
-  - loss_term_weight: 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-32
-      - BC-32
-      - M
-      - BC-64
-      - BC-64
-      - M
-      - BC-128
-      - BC-128
-      - BC-256
-      - BC-256
-    type: Plain
-  SeparateFCs:
-    in_channels: 256
-    out_channels: 256
-    parts_num: 31
-  SeparateBNNecks:
-    class_num: 5153
-    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
-    - 50000
-    - 100000
-  scheduler: MultiStepLR
-trainer_cfg:
-  enable_float16: true # half_percesion float for memory reduction and speedup
-  fix_BN: false
-  log_iter: 100
-  with_test: true
-  restore_ckpt_strict: true
-  restore_hint: 0
-  save_iter: 10000
-  save_name: Baseline
-  sync_BN: true
-  total_iter: 150000
-  sampler:
-    batch_shuffle: true
-    batch_size:
-      - 32 # 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 controlling order of input tensor; Other options: unfixed_ordered or all_ordered
-    type: TripletSampler
-  # transform:
-  #   - type: BaseSilCuttingTransform
-  #     img_w: 128

configs/baseline/baseline_hid.yaml

@@ -1,98 +0,0 @@
-data_cfg:
-  dataset_name: HID
-  dataset_root: your_path
-  dataset_partition: ./datasets/HID/HID2023.json
-  num_workers: 1
-  remove_no_gallery: false # Remove probe if no gallery for it
-evaluator_cfg:
-  enable_float16: true
-  restore_ckpt_strict: true
-  restore_hint: 60000
-  save_name: Baseline
-  eval_func: HID_submission
-  rerank: False
-  sampler:
-    batch_shuffle: false
-    batch_size: 8
-    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_weight: 1.0
-    margin: 0.2
-    type: TripletLoss
-    log_prefix: triplet
-  - loss_term_weight: 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: 512
-    out_channels: 256
-    parts_num: 31
-  SeparateBNNecks:
-    class_num: 500
-    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:
-      - 16 # TripletSampler, batch_size[0] indicates Number of Identity
-      - 8 #                 batch_size[1] indicates Samples sequqnce for each Identity
-    frames_num_fixed: 30 # fixed frames number for training
-    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
-      img_w: 128