Revert "try using vroid skeleton"

This reverts commit 74c00e56093d83f5a13e7b976cd46f539b557f0c.

app.py

@@ -112,10 +112,10 @@ def run_inference_python(
     
     # Load task and model configurations based on inference type
     if inference_type == "skeleton":
-        task_config_path = "configs/task/quick_inference_skeleton_vroid_ar_256.yaml"
+        task_config_path = "configs/task/quick_inference_skeleton_articulationxl_ar_256.yaml"
         transform_config_path = "configs/transform/inference_ar_transform.yaml"
         model_config_path = "configs/model/unirig_ar_350m_1024_81920_float32.yaml"
-        system_config_path = "configs/system/ar_inference_vroid.yaml"
+        system_config_path = "configs/system/ar_inference_articulationxl.yaml"
         tokenizer_config_path = "configs/tokenizer/tokenizer_parts_articulationxl_256.yaml"
         data_name = "raw_data.npz"
     else:  # skin

configs/system/ar_inference_vroid.yaml

@@ -1,14 +0,0 @@
-__target__: ar
-val_interval: 1
-generate_kwargs:
-  max_new_tokens: 2048
-  num_return_sequences: 1
-  num_beams: 15
-  do_sample: True
-  top_k: 5
-  top_p: 0.95
-  repetition_penalty: 3.0
-  temperature: 1.5 # must be a float
-  no_cls: False
-  assign_cls: vroid
-  use_dir_cls: False 

configs/task/quick_inference_skeleton_vroid_ar_256.yaml

@@ -1,30 +0,0 @@
-mode: predict
-debug: False
-experiment_name: quick_inference_skeleton_vroid_ar_256
-resume_from_checkpoint: experiments/skeleton/articulation-xl_quantization_256/model.ckpt
-
-components:
-  data: quick_inference
-  tokenizer: tokenizer_parts_articulationxl_256
-  transform: inference_ar_transform
-  model: unirig_ar_350m_1024_81920_float32
-  system: ar_inference_vroid
-  data_name: raw_data.npz
-
-writer:
-  __target__: ar
-  output_dir: ~ # export results into the same input folder
-  add_num: False
-  repeat: 1
-  export_npz: predict_skeleton
-  export_obj: skeleton
-  export_fbx: skeleton
-  # export_pc: pc
-
-trainer:
-  max_epochs: 1
-  num_nodes: 1
-  devices: 1
-  precision: bf16-mixed
-  accelerator: gpu
-  strategy: auto