Apple ml-sharp tutorial with AirVis

APPLE ML SHARP: https://github.com/apple/ml-sharp INSTALL CONDA : mkdir -p ~/miniconda3 curl https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-arm64.sh -o ~/miniconda3/miniconda.sh bash ~/miniconda3/miniconda.sh -b -u -p ~/miniconda3 rm -rf ~/miniconda3/miniconda.sh Initialize Conda for your shell (zsh is the default on macOS): ~/miniconda3/bin/conda init zsh sudo conda create -n sharp python=3.13 sudo pip install -r requirements.txt sharp --help COMMAND TO DOWNLOAD MODEL: curl -O https://ml-site.cdn-apple.com/models/sharp/sharp_2572gikvuh.pt COMMAND TO RUN: sharp predict -i input -o output/gaussians -c sharp_2572gikvuh.pt CODE TO ROTATE (ENSURE SAME FORMAT AND SPACING): """"""""""""""" """Save a predicted Gaussian3D to a ply file.""" #Rotate model 180 degrees # -------------------------------------------------------- LOGGER.info("Applying automatic 180-degree rotation fix to bring model to front.") transform_fix = torch.tensor([ [-1.0, 0.0, 0.0, 0.0], [ 0.0, 1.0, 0.0, 0.0], [ 0.0, 0.0, -1.0, 0.0] ], device=gaussians.mean_vectors.device) gaussians = apply_transform(gaussians, transform_fix) # -------------------------------------------------------- """""""""""""" Viewed in AirVis app Apple: https://apps.apple.com/us/app/airvis/id6737998221 Android: https://play.google.com/store/apps/details?id=rlt.fb1 Quest: https://meta.com/experiences/airvis/25616661591291773/