Download run_train_gs.py from SCZZ/test: direct link, hf CLI and curl.
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- Download file 1.08 kB
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https://huggingface.co/datasets/SCZZ/test/resolve/main/run_train_gs.py
- Command line
-
hf download hf://datasets/SCZZ/test/run_train_gs.py
-
curl -L -o run_train_gs.py https://huggingface.co/datasets/SCZZ/test/resolve/main/run_train_gs.py
1.08 kB
| import os | |
| import subprocess | |
| from tqdm import tqdm | |
| root_dir = "/home/ubuntu/magicsim/gs-dynamics/data/episode_rope" | |
| dir_list = os.listdir(root_dir) | |
| dir_list.sort(key=lambda n: int(n.split('_')[-1]) if n.split('_')[-1].isdigit() else 0) | |
| weight_params=[ | |
| "--weight_soft_col_cons=0.01", | |
| "--weight_im=50.0", | |
| "--weight_seg=200.0", | |
| "--weight_rigid=200.0", | |
| "--weight_bg=200.0", | |
| "--weight_iso=1000.0", | |
| "--weight_rot=4.0", | |
| "--num_knn=20", | |
| "--scale_scene_radius=0.05", | |
| ] | |
| start=0 | |
| end=10 | |
| for i in tqdm(range(start,end,1)): | |
| name=dir_list[i] | |
| full_path = os.path.join(root_dir, name) | |
| if os.path.isdir(full_path) and name.startswith("episode_"): | |
| tqdm.write(f"Processing directory: {full_path}") | |
| cmd=[ | |
| "python", | |
| "./src/tracking/train_gs.py", | |
| "--exp_name='exp1'", | |
| f"--sequence='episode_rope/{name}'", | |
| "--metadata_path='train_meta.json'", | |
| "--init_pt_cld_path='init_pt_cld_0000.npz'", | |
| ] | |
| subprocess.run(" ".join(cmd), shell=True,check=True) | |