From 782bc098a62fb79c2a56734ee56f20f4e7a49fcb Mon Sep 17 00:00:00 2001
From: crosstyan <crosstyan@outlook.com>
Date: Tue, 10 Mar 2026 15:04:05 +0800
Subject: [PATCH] feat: add scoliosis body-only and head-lite experiment
 configs

---
 ...t_heatmap_drf_sigma15_joint8_bodyonly.yaml |  53 ++++++++
 ...t_heatmap_drf_sigma15_joint8_headlite.yaml |  56 +++++++++
 ...int8_bodyonly_plaince_bridge_1gpu_10k.yaml | 112 +++++++++++++++++
 ...int8_bodyonly_plaince_bridge_2gpu_10k.yaml | 112 +++++++++++++++++
 ...odyonly_plaince_bridge_eval_7000_1gpu.yaml |  59 +++++++++
 ...8_bodyonly_weightedce_bridge_2gpu_10k.yaml | 116 ++++++++++++++++++
 ...only_weightedce_bridge_eval_7000_1gpu.yaml | 113 +++++++++++++++++
 ...int8_headlite_plaince_bridge_1gpu_10k.yaml | 112 +++++++++++++++++
 ...18_sigma15_joint8_bodyonly_proxy_1gpu.yaml | 112 +++++++++++++++++
 ...t8_bodyonly_weightedce_eval_1000_1gpu.yaml | 114 +++++++++++++++++
 ...t8_bodyonly_weightedce_eval_2000_1gpu.yaml | 114 +++++++++++++++++
 ...joint8_bodyonly_weightedce_proxy_1gpu.yaml | 116 ++++++++++++++++++
 ...joint8_bodyonly_weightedce_proxy_2gpu.yaml | 116 ++++++++++++++++++
 13 files changed, 1305 insertions(+)
 create mode 100644 configs/drf/pretreatment_heatmap_drf_sigma15_joint8_bodyonly.yaml
 create mode 100644 configs/drf/pretreatment_heatmap_drf_sigma15_joint8_headlite.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_2gpu_10k.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_eval_7000_1gpu.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_eval_7000_1gpu.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_proxy_1gpu.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_1000_1gpu.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_2000_1gpu.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_1gpu.yaml
 create mode 100644 configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu.yaml

diff --git a/configs/drf/pretreatment_heatmap_drf_sigma15_joint8_bodyonly.yaml b/configs/drf/pretreatment_heatmap_drf_sigma15_joint8_bodyonly.yaml
new file mode 100644
index 0000000..ff16117
--- /dev/null
+++ b/configs/drf/pretreatment_heatmap_drf_sigma15_joint8_bodyonly.yaml
@@ -0,0 +1,53 @@
+coco18tococo17_args:
+  transfer_to_coco17: False
+
+padkeypoints_args:
+  pad_method: knn
+  use_conf: True
+
+norm_args:
+  pose_format: coco
+  use_conf: ${padkeypoints_args.use_conf}
+  heatmap_image_height: 128
+
+heatmap_generator_args:
+  sigma: 1.5
+  use_score: ${padkeypoints_args.use_conf}
+  img_h: ${norm_args.heatmap_image_height}
+  img_w: ${norm_args.heatmap_image_height}
+  with_limb: null
+  with_kp: null
+  joint_indices:
+    - 5
+    - 6
+    - 7
+    - 8
+    - 9
+    - 10
+    - 11
+    - 12
+    - 13
+    - 14
+    - 15
+    - 16
+  skeletons:
+    - [5, 7]
+    - [7, 9]
+    - [6, 8]
+    - [8, 10]
+    - [5, 11]
+    - [6, 12]
+    - [11, 13]
+    - [13, 15]
+    - [12, 14]
+    - [14, 16]
+    - [11, 12]
+
+sigma_limb: 1.5
+sigma_joint: 8.0
+
+align_args:
+  align: True
+  final_img_size: 64
+  offset: 0
+  heatmap_image_size: ${norm_args.heatmap_image_height}
diff --git a/configs/drf/pretreatment_heatmap_drf_sigma15_joint8_headlite.yaml b/configs/drf/pretreatment_heatmap_drf_sigma15_joint8_headlite.yaml
new file mode 100644
index 0000000..0faa750
--- /dev/null
+++ b/configs/drf/pretreatment_heatmap_drf_sigma15_joint8_headlite.yaml
@@ -0,0 +1,56 @@
+coco18tococo17_args:
+  transfer_to_coco17: False
+
+padkeypoints_args:
+  pad_method: knn
+  use_conf: True
+
+norm_args:
+  pose_format: coco
+  use_conf: ${padkeypoints_args.use_conf}
+  heatmap_image_height: 128
+
+heatmap_generator_args:
+  sigma: 1.5
+  use_score: ${padkeypoints_args.use_conf}
+  img_h: ${norm_args.heatmap_image_height}
+  img_w: ${norm_args.heatmap_image_height}
+  with_limb: null
+  with_kp: null
+  joint_indices:
+    - 0
+    - 5
+    - 6
+    - 7
+    - 8
+    - 9
+    - 10
+    - 11
+    - 12
+    - 13
+    - 14
+    - 15
+    - 16
+  skeletons:
+    - [0, 5]
+    - [0, 6]
+    - [5, 7]
+    - [7, 9]
+    - [6, 8]
+    - [8, 10]
+    - [5, 11]
+    - [6, 12]
+    - [11, 13]
+    - [13, 15]
+    - [12, 14]
+    - [14, 16]
+    - [11, 12]
+
+sigma_limb: 1.5
+sigma_joint: 8.0
+
+align_args:
+  align: True
+  final_img_size: 64
+  offset: 0
+  heatmap_image_size: ${norm_args.heatmap_image_height}
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k.yaml
new file mode 100644
index 0000000..eed7922
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k.yaml
@@ -0,0 +1,112 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_112.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 112
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 10000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 5000
+    - 7000
+    - 9000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 6
+  eval_iter: 1000
+  save_iter: 1000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k
+  sync_BN: false
+  total_iter: 10000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_2gpu_10k.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_2gpu_10k.yaml
new file mode 100644
index 0000000..82e8f2f
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_2gpu_10k.yaml
@@ -0,0 +1,112 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_112.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 112
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 10000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_2gpu_10k
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 2
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 5000
+    - 7000
+    - 9000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 6
+  eval_iter: 1000
+  save_iter: 1000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_2gpu_10k
+  sync_BN: true
+  total_iter: 10000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_eval_7000_1gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_eval_7000_1gpu.yaml
new file mode 100644
index 0000000..9e61cc6
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_eval_7000_1gpu.yaml
@@ -0,0 +1,59 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_112.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: /home/crosstyan/Code/OpenGait/output/Scoliosis1K/ScoNet/ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k/checkpoints/ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_1gpu_10k-07000.pt
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_bridge_eval_7000_1gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  transform:
+    - type: BaseSilCuttingTransform
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    in_channels: 256
+    parts_num: 16
+  bin_num:
+    - 16
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k.yaml
new file mode 100644
index 0000000..a620666
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k.yaml
@@ -0,0 +1,116 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_112.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 112
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 10000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 2
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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
+    class_weight:
+      - 1.0
+      - 4.0
+      - 4.0
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 5000
+    - 7000
+    - 9000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 6
+  eval_iter: 1000
+  save_iter: 1000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k
+  sync_BN: true
+  total_iter: 10000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_eval_7000_1gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_eval_7000_1gpu.yaml
new file mode 100644
index 0000000..d9b8305
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_eval_7000_1gpu.yaml
@@ -0,0 +1,113 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_112.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: /home/crosstyan/Code/OpenGait/output/Scoliosis1K/ScoNet/ScoNet_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k/checkpoints/ScoNet_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_2gpu_10k-07000.pt
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_eval_7000_1gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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
+    class_weight:
+      - 1.0
+      - 4.0
+      - 4.0
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 5000
+    - 7000
+    - 9000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: false
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 6
+  save_iter: 1000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_weightedce_bridge_eval_7000_1gpu
+  sync_BN: false
+  total_iter: 10000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k.yaml
new file mode 100644
index 0000000..a2b2b06
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k.yaml
@@ -0,0 +1,112 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-112-sigma15-joint8-headlite
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_112.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 112
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 10000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 5000
+    - 7000
+    - 9000
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 6
+  eval_iter: 1000
+  save_iter: 1000
+  save_name: ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k
+  sync_BN: false
+  total_iter: 10000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_proxy_1gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_proxy_1gpu.yaml
new file mode 100644
index 0000000..2c22154
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_proxy_1gpu.yaml
@@ -0,0 +1,112 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_118.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 118
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 2000
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_proxy_1gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 1000
+    - 1500
+    - 1800
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 3
+  eval_iter: 500
+  save_iter: 500
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_proxy_1gpu
+  sync_BN: true
+  total_iter: 2000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_1000_1gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_1000_1gpu.yaml
new file mode 100644
index 0000000..49366d6
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_1000_1gpu.yaml
@@ -0,0 +1,114 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_118.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: /home/crosstyan/Code/OpenGait/output/Scoliosis1K/ScoNet/ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu/checkpoints/resume/ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu-resume-01000.pt
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_1000_1gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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
+    class_weight:
+      - 1.0
+      - 4.0
+      - 4.0
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 1000
+    - 1500
+    - 1800
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 3
+  eval_iter: 500
+  save_iter: 2000
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_1000_1gpu
+  sync_BN: true
+  total_iter: 2000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_2000_1gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_2000_1gpu.yaml
new file mode 100644
index 0000000..7c0d60a
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_2000_1gpu.yaml
@@ -0,0 +1,114 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_118.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: /home/crosstyan/Code/OpenGait/output/Scoliosis1K/ScoNet/ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu/checkpoints/ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu-02000.pt
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_2000_1gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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
+    class_weight:
+      - 1.0
+      - 4.0
+      - 4.0
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 1000
+    - 1500
+    - 1800
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 3
+  eval_iter: 500
+  save_iter: 2000
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_eval_2000_1gpu
+  sync_BN: true
+  total_iter: 2000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_1gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_1gpu.yaml
new file mode 100644
index 0000000..2b8a83b
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_1gpu.yaml
@@ -0,0 +1,116 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_118.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 118
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 2000
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_1gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 1
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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
+    class_weight:
+      - 1.0
+      - 4.0
+      - 4.0
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 1000
+    - 1500
+    - 1800
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 3
+  eval_iter: 500
+  save_iter: 500
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_1gpu
+  sync_BN: true
+  total_iter: 2000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform
diff --git a/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu.yaml b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu.yaml
new file mode 100644
index 0000000..33ee2d8
--- /dev/null
+++ b/configs/sconet/sconet_scoliosis1k_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu.yaml
@@ -0,0 +1,116 @@
+data_cfg:
+  dataset_name: Scoliosis1K
+  dataset_root: /mnt/public/data/Scoliosis1K/Scoliosis1K-drf-pkl-118-sigma15-joint8-bodyonly
+  dataset_partition: ./datasets/Scoliosis1K/Scoliosis1K_118.json
+  data_in_use:
+    - true
+    - false
+  num_workers: 1
+  remove_no_gallery: false
+  test_dataset_name: Scoliosis1K
+  test_seq_subset_size: 128
+  test_seq_subset_seed: 118
+
+evaluator_cfg:
+  enable_float16: true
+  restore_ckpt_strict: true
+  restore_hint: 2000
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu
+  eval_func: evaluate_scoliosis
+  sampler:
+    batch_shuffle: false
+    batch_size: 2
+    sample_type: all_ordered
+    type: InferenceSampler
+    frames_all_limit: 720
+  metric: euc
+  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
+    class_weight:
+      - 1.0
+      - 4.0
+      - 4.0
+
+model_cfg:
+  model: ScoNet
+  backbone_cfg:
+    type: ResNet9
+    block: BasicBlock
+    in_channel: 2
+    channels:
+      - 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: 3
+    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:
+    - 1000
+    - 1500
+    - 1800
+  scheduler: MultiStepLR
+
+trainer_cfg:
+  enable_float16: true
+  fix_BN: false
+  with_test: true
+  log_iter: 100
+  restore_ckpt_strict: true
+  restore_hint: 0
+  auto_resume_latest: true
+  resume_every_iter: 500
+  resume_keep: 3
+  eval_iter: 500
+  save_iter: 500
+  save_name: ScoNet_skeleton_118_sigma15_joint8_bodyonly_weightedce_proxy_2gpu
+  sync_BN: true
+  total_iter: 2000
+  sampler:
+    batch_shuffle: true
+    batch_size:
+      - 8
+      - 8
+    frames_num_fixed: 30
+    sample_type: fixed_unordered
+    type: TripletSampler
+  transform:
+    - type: BaseSilCuttingTransform