docs: track paper sources and scoliosis experiment updates

This commit is contained in:
2026-03-10 17:18:54 +08:00
parent 782bc098a6
commit e2908febfa
8 changed files with 989 additions and 21 deletions
@@ -0,0 +1,59 @@
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
evaluator_cfg:
enable_float16: true
restore_ckpt_strict: true
restore_hint: /home/crosstyan/Code/OpenGait/output/Scoliosis1K/ScoNet/ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k/checkpoints/ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k-07000.pt
save_name: ScoNet_skeleton_112_sigma15_joint8_headlite_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
@@ -0,0 +1,61 @@
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: /home/crosstyan/Code/OpenGait/output/Scoliosis1K/ScoNet/ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k/checkpoints/ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_1gpu_10k-07000.pt
save_name: ScoNet_skeleton_112_sigma15_joint8_headlite_plaince_bridge_eval_7000_subset_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