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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 |