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pant_long, pant_short, top_long, top_short) from the initial RGB observation frame.1.
2├── scripts/eval_policy/example_participant_policy.py # Core MoE Logic & Dynamic Routing
3├── outputs/classifier/garment_classifier_resnet18.pth # Fine-tuned ResNet18 Weights
4├── outputs/train/ # Specialized ACT Expert Weights
5│ ├── act_h200_pant_long/checkpoints/080000/pretrained_model
6│ ├── act_h200_pant_short/checkpoints/080000/pretrained_model
7│ ├── act_h200_top_long/checkpoints/last/pretrained_model
8│ └── act_h200_top_short/checkpoints/last/pretrained_model
9└── Datasets/example/ # Metadata for Normalization
10 ├── pant_long_merged/meta/stats.json
11 ├── pant_short_merged/meta/stats.json
12 ├── top_long_merged/meta/stats.json
13 └── top_short_merged/meta/stats.jsoncustom.1git lfs install
2git clone https://huggingface.co/xunden/ledaojia1# Evaluate Long Pants
2python -m scripts.eval --policy_type custom --garment_type pant_long --enable_cameras --device cpu
3
4# Evaluate Short Pants
5python -m scripts.eval --policy_type custom --garment_type pant_short --enable_cameras --device cpu1# Evaluate Long Sleeve Tops
2python -m scripts.eval --policy_type custom --garment_type top_long --enable_cameras --device cpu
3
4# Evaluate Short Sleeve Tops
5python -m scripts.eval --policy_type custom --garment_type top_short --enable_cameras --device cpu