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/home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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import pynvml # type: ignore[import]
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Loading data from ./demo_data/output_smpl_and_points/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1.h5
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Processing single person: 1
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Using device: cuda
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Running GeoCalib
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[92mGeocalib process time: 0.86 seconds[0m
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Estimated parameters (Pred):
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Roll: -1.5° (± 1.0)°
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Pitch: -10.8° (± 2.9)°
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vFoV: 62.9° (± 9.9)°
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Focal: 235.4 px (± 32.2 px)
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Computed world rotation matrix
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Processing SMPL data...
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Saved gravity calibrated keypoints to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_keypoints.h5
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Applying gravity calibration to world environment...
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Saved gravity calibrated megahunter data to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_megahunter.h5
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/home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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import pynvml # type: ignore[import]
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Loading calibrated data from ./demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/gravity_calibrated_megahunter.h5
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Processing single person for mesh generation: 1
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Collecting and filtering points and colors...
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Total unique frames: 172
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Frame coverage per person: [('1', 172)]
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[92mCollecting and filtering points and colors process time: 7.05 seconds[0m
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[11-26 07:45:40] WARNING Customized build of Open3D is not detected, to resolve this you can do: o3d.py:11
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pip install open3d_pycg_cpu -f https://pycg.huangjh.tech/packages/index.html
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[11-26 07:45:41] WARNING Failed to obtain monitor info! vis.py:43
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Before voxel downsampling shape: (5649194, 3)
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After voxel downsampling shape: (18540, 3)
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================================================================================
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NKSR INPUT POINT CLOUD STATISTICS:
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Points: 18540
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Bounds X: [-1.4193, 0.9121]
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Bounds Y: [0.9635, 4.6793]
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Bounds Z: [-0.8492, 1.4769]
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Center: [0.0177, 3.0898, -0.2375]
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Std dev: [0.6736, 0.9295, 0.6004]
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================================================================================
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⚠ Removed 2499 duplicate points
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After cleanup: 16041 points
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First round of NKSR meshification
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Trying config 1/4: Fine (detail=0.1, tol=1e-5)
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[11-26 07:45:43] INFO Input scale factor: 0.9778 __init__.py:230
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WARNING Symblk-CG-Jacobi-Cuda does not converge in 2000 iterations. solver.py:68
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✓ Config 1 succeeded: 4878 vertices, 9266 faces
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Second round of NKSR meshification (with hole filling)
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Trying config 1/4: Fine (detail=0.1, tol=1e-5)
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[11-26 07:46:17] INFO Input scale factor: 2.8751 __init__.py:230
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[11-26 07:46:18] WARNING Symblk-CG-Jacobi-Cuda does not converge in 2000 iterations. solver.py:68
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✓ Config 1 succeeded: 67579 vertices, 131669 faces
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[92mBackground meshifying process time: 37.65 seconds[0m
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Saving mesh generation outputs...
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Saved mesh to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_mesh.obj
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Saved colored pointcloud to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_less_filtered_colored_pointcloud.ply
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Saved colored pointcloud to demo_data/output_calib_mesh/IMG_8049/megahunter_megasam_reconstruction_results_IMG_8049_cam01_frame_0_172_subsample_1/background_more_filtered_colored_pointcloud.ply
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/home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/cuda/__init__.py:61: FutureWarning: The pynvml package is deprecated. Please install nvidia-ml-py instead. If you did not install pynvml directly, please report this to the maintainers of the package that installed pynvml for you.
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import pynvml # type: ignore[import]
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Loaded weights from https://huggingface.co/aharley/alltracker/resolve/main/alltracker.pth
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object tracking: 0%| | 0/172 [00:00<?, ?it/s]/home/yinshaofeng/miniconda3/envs/vm1rs/lib/python3.10/site-packages/torch/functional.py:534: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at ../aten/src/ATen/native/TensorShape.cpp:3595.)
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return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined]
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