feat: archive best scoliosis checkpoints

2026-03-11 10:23:38 +08:00
parent a0150c791f
commit fbc0696dc4
10 changed files with 489 additions and 4 deletions
@@ -0,0 +1,60 @@
+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: /mnt/hddl/data/OpenGait-output/Scoliosis1K/ScoNet/ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_adamw_cosine_finetune_1gpu_80k/checkpoints/best/scalar_test_f1/ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_adamw_cosine_finetune_1gpu_80k-iter-27000-score-0.8870-scalar_test_f1.pt
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_adamw_cosine_eval_27000_1gpu
+  output_root: /mnt/hddl/data/OpenGait-output
+  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
@@ -0,0 +1,60 @@
+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: /mnt/hddl/data/OpenGait-output/Scoliosis1K/ScoNet/ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_adamw_cosine_finetune_1gpu_80k/checkpoints/best/scalar_test_accuracy/ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_adamw_cosine_finetune_1gpu_80k-iter-64000-score-0.9425-scalar_test_accuracy.pt
+  save_name: ScoNet_skeleton_112_sigma15_joint8_bodyonly_plaince_adamw_cosine_eval_64000_1gpu
+  output_root: /mnt/hddl/data/OpenGait-output
+  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