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what is sam3d-objects-mac fr?

ankitmahala07/sam3d-objects-mac — explained in plain English

Analysis updated 2026-05-18

3PythonAudience · developer

tl;dr

An Apple Silicon port of Meta's SAM 3D Objects that turns a photo into a 3D gaussian splat and textured mesh, without needing an NVIDIA GPU.

vibe map

mindmap
  root((SAM 3D Objects Mac))
    What it does
      Photo to 3D mesh
      Apple Silicon port
      No CUDA needed
    Tech stack
      Python
      PyTorch MPS
      Hugging Face
    Use cases
      Single photo to mesh
      Multi view accuracy
      Batch folder processing
    Audience
      Developers
      3D asset creators

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what do people make with this?

VIBE 1

Turn a single photo of an object into a downloadable 3D textured mesh on a Mac.

VIBE 2

Combine several photos of the same object from different angles for a more accurate 3D model.

VIBE 3

Batch process a whole folder of product photos into 3D assets overnight.

VIBE 4

Re-export just the mesh from saved intermediate data without rerunning the full pipeline.

what's the stack?

PythonPyTorchMPSHugging FaceGradio

how it stacks up fr

ankitmahala07/sam3d-objects-mac0marildo/imago100/geotwitter
Stars333
LanguagePythonPythonPython
Last pushed2015-09-10
MaintenanceDormant
Setup difficultyeasymoderate
Complexity2/53/5
Audiencedevelopergeneralgeneral

Figures from each repo's GitHub metadata at analysis time.

in plain english

This project is an unofficial port of Meta's SAM 3D Objects model that lets it run on Apple Silicon Macs instead of requiring an NVIDIA graphics card. You give it a photo of an object, and it produces a 3D representation of that object called a gaussian splat, along with a textured mesh file in the common .glb format. The original model only works with NVIDIA's CUDA technology, so this fork rewrites the parts that depended on it to work with Apple's own graphics processing instead. To use it you need an Apple Silicon Mac such as an M1, M2, M3, or M4 chip, with around 24 to 30 gigabytes of memory recommended, plus about 12 gigabytes of free disk space for the model's weights. There is a guided setup script for people who are not comfortable with the command line, which walks through installing everything and downloading the required files, as well as a manual install path for those who prefer to run the steps themselves. The model weights themselves are not included in this repository and must be downloaded separately from Hugging Face after requesting access, since they belong to Meta and are governed by Meta's own license. Once set up, running the tool is a single command that asks for your source image or images, where to save the output, a quality level that trades speed for detail, and which type of 3D mesh export you want. It supports feeding in a single photo, multiple photos of the same object from different angles for better accuracy, or a whole folder of images to process one after another automatically. Background removal from the photo happens automatically, so there is no need to manually cut out the object first. The tool produces several output files, including the extracted object image, the raw 3D splat data, and one or two versions of the final 3D mesh depending on whether you want a game-ready optimized version, an unoptimized high-detail version, or both. It also lets you regenerate just the mesh from previously saved data without repeating the more expensive initial 3D generation step.

prompts (copy fr)

prompt 1
Walk me through the guided setup script for running SAM 3D Objects on my Mac.
prompt 2
Explain how to request and download the model weights from Hugging Face for this project.
prompt 3
Show me how to process a folder of images in a batch with this tool.
prompt 4
Help me choose between the game-optimized and unoptimized mesh export options.

Frequently asked questions

what is sam3d-objects-mac fr?

An Apple Silicon port of Meta's SAM 3D Objects that turns a photo into a 3D gaussian splat and textured mesh, without needing an NVIDIA GPU.

What language is sam3d-objects-mac written in?

Mainly Python. The stack also includes Python, PyTorch, MPS.

Who is sam3d-objects-mac for?

Mainly developer.

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