Add DRF Scoliosis1K pipeline and optional wandb logging

datasets/Scoliosis1K/README.md

@@ -83,3 +83,55 @@ datasets/pretreatment_heatmap.py \
   --save_root=<output_path> \
   --dataset_name=OUMVLP
 ```
+
+## DRF Preprocessing
+
+For the DRF model, OpenGait expects a combined runtime dataset with:
+
+* `0_heatmap.pkl`: the two-channel skeleton map sequence
+* `1_pav.pkl`: the paper-style Postural Asymmetry Vector (PAV), repeated along the sequence axis so it matches OpenGait's multi-input loader contract
+
+The PAV pass is implemented from the paper:
+
+1. convert pose to COCO17 if needed
+2. pad missing joints
+3. pelvis-center and height normalize the sequence
+4. compute vertical, midline, and angular deviations for the 8 symmetric joint pairs
+5. apply IQR filtering per metric
+6. average over time
+7. min-max normalize across the dataset, or across `TRAIN_SET` when `--stats_partition` is provided
+
+Run:
+
+```bash
+uv run python datasets/pretreatment_scoliosis_drf.py \
+  --pose_data_path=<path_to_pose_pkl> \
+  --output_path=<path_to_drf_pkl> \
+  --stats_partition=./datasets/Scoliosis1K/Scoliosis1K_1116.json
+```
+
+The output layout is:
+
+```text
+<path_to_drf_pkl>/
+├── pav_stats.pkl
+├── 00000/
+│   ├── Positive/
+│   │   ├── 000_180/
+│   │   │   ├── 0_heatmap.pkl
+│   │   │   └── 1_pav.pkl
+```
+
+Point `configs/drf/drf_scoliosis1k.yaml:data_cfg.dataset_root` to this output directory before training or testing.
+
+## DRF Training and Testing
+
+```bash
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+uv run python -m torch.distributed.launch --nproc_per_node=4 \
+opengait/main.py --cfgs configs/drf/drf_scoliosis1k.yaml --phase train
+
+CUDA_VISIBLE_DEVICES=0,1,2,3 \
+uv run python -m torch.distributed.launch --nproc_per_node=4 \
+opengait/main.py --cfgs configs/drf/drf_scoliosis1k.yaml --phase test
+```