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CUDA_VISIBLE_DEVICES=0 python evaluate.py --dataset_path articulation_xlv2_test.npz \
--pretrained_weights skeleton_ckpts/puppeteer_skeleton_w_diverse_pose.pth \
--save_name infer_results_xl --input_pc_num 8192 \
--save_render --joint_token --seq_shuffle
# when evaluate on xl2.0-test, it needs time as we have 2000 data for inference.
# change dataset_path and save_name when evaluating on other test sets.
# If you also want to evaluate MagicArticulate, run:
# CUDA_VISIBLE_DEVICES=0 python evaluate.py --dataset_path articulation_xlv2_test.npz \
# --pretrained_weights skeleton_ckpts/checkpoint_trainonv2_hier.pth \
# --save_name infer_results_xl_magicarti --input_pc_num 8192 \
# --save_render --hier_order |