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.gitignore

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+__pycache__

CODE_OF_CONDUCT.md

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+# Code of Conduct
+
+## Our Pledge
+
+In the interest of fostering an open and welcoming environment, we as
+contributors and maintainers pledge to make participation in our project and
+our community a harassment-free experience for everyone, regardless of age, body
+size, disability, ethnicity, sex characteristics, gender identity and expression,
+level of experience, education, socio-economic status, nationality, personal
+appearance, race, religion, or sexual identity and orientation.
+
+## Our Standards
+
+Examples of behavior that contributes to creating a positive environment
+include:
+
+* Using welcoming and inclusive language
+* Being respectful of differing viewpoints and experiences
+* Gracefully accepting constructive criticism
+* Focusing on what is best for the community
+* Showing empathy towards other community members
+
+Examples of unacceptable behavior by participants include:
+
+* The use of sexualized language or imagery and unwelcome sexual attention or
+advances
+* Trolling, insulting/derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or electronic
+address, without explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+professional setting
+
+## Our Responsibilities
+
+Project maintainers are responsible for clarifying the standards of acceptable
+behavior and are expected to take appropriate and fair corrective action in
+response to any instances of unacceptable behavior.
+
+Project maintainers have the right and responsibility to remove, edit, or
+reject comments, commits, code, wiki edits, issues, and other contributions
+that are not aligned to this Code of Conduct, or to ban temporarily or
+permanently any contributor for other behaviors that they deem inappropriate,
+threatening, offensive, or harmful.
+
+## Scope
+
+This Code of Conduct applies within all project spaces, and it also applies when
+an individual is representing the project or its community in public spaces.
+Examples of representing a project or community include using an official
+project e-mail address, posting via an official social media account, or acting
+as an appointed representative at an online or offline event. Representation of
+a project may be further defined and clarified by project maintainers.
+
+This Code of Conduct also applies outside the project spaces when there is a
+reasonable belief that an individual's behavior may have a negative impact on
+the project or its community.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported by contacting the project team at <[email protected]>. All
+complaints will be reviewed and investigated and will result in a response that
+is deemed necessary and appropriate to the circumstances. The project team is
+obligated to maintain confidentiality with regard to the reporter of an incident.
+Further details of specific enforcement policies may be posted separately.
+
+Project maintainers who do not follow or enforce the Code of Conduct in good
+faith may face temporary or permanent repercussions as determined by other
+members of the project's leadership.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
+available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see
+https://www.contributor-covenant.org/faq

CONTRIBUTING.md

@@ -0,0 +1,39 @@
+# Contributing to sam-3d-objects
+We want to make contributing to this project as easy and transparent as
+possible.
+
+## Our Development Process
+... (in particular how this is synced with internal changes to the project)
+
+## Pull Requests
+We actively welcome your pull requests.
+
+1. Fork the repo and create your branch from `main`.
+2. If you've added code that should be tested, add tests.
+3. If you've changed APIs, update the documentation.
+4. Ensure the test suite passes.
+5. Make sure your code lints.
+6. If you haven't already, complete the Contributor License Agreement ("CLA").
+
+## Contributor License Agreement ("CLA")
+In order to accept your pull request, we need you to submit a CLA. You only need
+to do this once to work on any of Meta's open source projects.
+
+Complete your CLA here: <https://code.facebook.com/cla>
+
+## Issues
+We use GitHub issues to track public bugs. Please ensure your description is
+clear and has sufficient instructions to be able to reproduce the issue.
+
+Meta has a [bounty program](https://bugbounty.meta.com/) for the safe
+disclosure of security bugs. In those cases, please go through the process
+outlined on that page and do not file a public issue.
+
+## Coding Style  
+* 2 spaces for indentation rather than tabs
+* 80 character line length
+* ...
+
+## License
+By contributing to sam-3d-objects, you agree that your contributions will be licensed
+under the LICENSE file in the root directory of this source tree.

LICENSE

@@ -0,0 +1,52 @@
+SAM License
+Last Updated: November 19, 2025
+
+“Agreement” means the terms and conditions for use, reproduction, distribution and modification of the SAM Materials set forth herein.
+
+“SAM Materials” means, collectively, Documentation and the models, software and algorithms, including machine-learning model code, trained model weights, inference-enabling code, training-enabling code, fine-tuning enabling code, and other elements of the foregoing distributed by Meta and made available under this Agreement.
+
+“Documentation” means the specifications, manuals and documentation accompanying 
+SAM Materials distributed by Meta.
+
+“Licensee” or “you” means you, or your employer or any other person or entity (if you are entering into this Agreement on such person or entity’s behalf), of the age required under applicable laws, rules or regulations to provide legal consent and that has legal authority to bind your employer or such other person or entity if you are entering in this Agreement on their behalf.
+
+“Meta” or “we” means Meta Platforms Ireland Limited (if you are located in or, if you are an entity, your principal place of business is in the EEA or Switzerland) or Meta Platforms, Inc. (if you are located outside of the EEA or Switzerland).
+
+“Sanctions” means any economic or trade sanctions or restrictions administered or enforced by the United States (including the Office of Foreign Assets Control of the U.S. Department of the Treasury (“OFAC”), the U.S. Department of State and the U.S. Department of Commerce), the United Nations, the European Union, or the United Kingdom.
+
+“Trade Controls” means any of the following: Sanctions and applicable export and import controls.
+
+By using or distributing any portion or element of the SAM Materials, you agree to be bound by this Agreement.
+
+1. License Rights and Redistribution.
+
+a. Grant of Rights. You are granted a non-exclusive, worldwide, non-transferable and royalty-free limited license under Meta’s intellectual property or other rights owned by Meta embodied in the SAM Materials to use, reproduce, distribute, copy, create derivative works of, and make modifications to the SAM Materials.  
+
+i. Grant of Patent License. Subject to the terms and conditions of this License, you are granted a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by Meta that are necessarily infringed alone or by combination of their contribution(s) with the SAM 3 Materials. If you institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the SAM 3 Materials incorporated within the work constitutes direct or contributory patent infringement, then any patent licenses granted to you under this License for that work shall terminate as of the date such litigation is filed.
+ 
+b. Redistribution and Use.  
+
+i. Distribution of SAM Materials, and any derivative works thereof, are subject to the terms of this Agreement. If you distribute or make the SAM Materials, or any derivative works thereof, available to a third party, you may only do so under the terms of this Agreement and you shall provide a copy of this Agreement with any such SAM Materials.
+
+ii.  If you submit for publication the results of research you perform on, using, or otherwise in connection with SAM Materials, you must acknowledge the use of SAM Materials in your publication.
+
+iii. Your use of the SAM Materials must comply with applicable laws and regulations, including Trade Control Laws and applicable privacy and data protection laws.
+iv. Your use of the SAM Materials will not involve or encourage others to reverse engineer, decompile or discover the underlying components of the SAM Materials.
+v. You are not the target of Trade Controls and your use of SAM Materials must comply with Trade Controls. You agree not to use, or permit others to use, SAM Materials for any activities subject to the International Traffic in Arms Regulations (ITAR) or end uses prohibited by Trade Controls, including those related to military or warfare purposes, nuclear industries or applications, espionage, or the development or use of guns or illegal weapons.
+2. User Support. Your use of the SAM Materials is done at your own discretion; Meta does not process any information nor provide any service in relation to such use.  Meta is under no obligation to provide any support services for the SAM Materials. Any support provided is “as is”, “with all faults”, and without warranty of any kind.
+
+3. Disclaimer of Warranty. UNLESS REQUIRED BY APPLICABLE LAW, THE SAM MATERIALS AND ANY OUTPUT AND RESULTS THEREFROM ARE PROVIDED ON AN “AS IS” BASIS, WITHOUT WARRANTIES OF ANY KIND, AND META DISCLAIMS ALL WARRANTIES OF ANY KIND, BOTH EXPRESS AND IMPLIED, INCLUDING, WITHOUT LIMITATION, ANY WARRANTIES OF TITLE, NON-INFRINGEMENT, MERCHANTABILITY, OR FITNESS FOR A PARTICULAR PURPOSE. YOU ARE SOLELY RESPONSIBLE FOR DETERMINING THE APPROPRIATENESS OF USING OR REDISTRIBUTING THE SAM MATERIALS AND ASSUME ANY RISKS ASSOCIATED WITH YOUR USE OF THE SAM MATERIALS AND ANY OUTPUT AND RESULTS.
+ 
+4. Limitation of Liability. IN NO EVENT WILL META OR ITS AFFILIATES BE LIABLE UNDER ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, TORT, NEGLIGENCE, PRODUCTS LIABILITY, OR OTHERWISE, ARISING OUT OF THIS AGREEMENT, FOR ANY LOST PROFITS OR ANY DIRECT OR INDIRECT, SPECIAL, CONSEQUENTIAL, INCIDENTAL, EXEMPLARY OR PUNITIVE DAMAGES, EVEN IF META OR ITS AFFILIATES HAVE BEEN ADVISED OF THE POSSIBILITY OF ANY OF THE FOREGOING.
+ 
+5. Intellectual Property.
+
+a. Subject to Meta’s ownership of SAM Materials and derivatives made by or for Meta, with respect to any derivative works and modifications of the SAM Materials that are made by you, as between you and Meta, you are and will be the owner of such derivative works and modifications.
+ 
+b. If you institute litigation or other proceedings against Meta or any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the SAM Materials, outputs or results, or any portion of any of the foregoing, constitutes infringement of intellectual property or other rights owned or licensable by you, then any licenses granted to you under this Agreement shall terminate as of the date such litigation or claim is filed or instituted. You will indemnify and hold harmless Meta from and against any claim by any third party arising out of or related to your use or distribution of the SAM Materials.
+ 
+6. Term and Termination. The term of this Agreement will commence upon your acceptance of this Agreement or access to the SAM Materials and will continue in full force and effect until terminated in accordance with the terms and conditions herein. Meta may terminate this Agreement if you are in breach of any term or condition of this Agreement. Upon termination of this Agreement, you shall delete and cease use of the SAM Materials. Sections 3, 4 and 7 shall survive the termination of this Agreement. 
+ 
+7. Governing Law and Jurisdiction. This Agreement will be governed and construed under the laws of the State of California without regard to choice of law principles, and the UN Convention on Contracts for the International Sale of Goods does not apply to this Agreement. The courts of California shall have exclusive jurisdiction of any dispute arising out of this Agreement. 
+
+8. Modifications and Amendments. Meta may modify this Agreement from time to time; provided that they are similar in spirit to the current version of the Agreement, but may differ in detail to address new problems or concerns. All such changes will be effective immediately. Your continued use of the SAM Materials after any modification to this Agreement constitutes your agreement to such modification. Except as provided in this Agreement, no modification or addition to any provision of this Agreement will be binding unless it is in writing and signed by an authorized representative of both you and Meta.

checkpoints/.gitignore

@@ -0,0 +1,2 @@
+*
+!.gitignore

demo.py

@@ -0,0 +1,21 @@
+import sys
+
+# import inference code
+sys.path.append("notebook")
+from inference import Inference, load_image, load_single_mask
+
+# load model
+tag = "hf"
+config_path = f"checkpoints/{tag}/pipeline.yaml"
+inference = Inference(config_path, compile=False)
+
+# load image (RGBA only, mask is embedded in the alpha channel)
+image = load_image("notebook/images/shutterstock_stylish_kidsroom_1640806567/image.png")
+mask = load_single_mask("notebook/images/shutterstock_stylish_kidsroom_1640806567", index=14)
+
+# run model
+output = inference(image, mask, seed=42)
+
+# export gaussian splat
+output["gs"].save_ply(f"splat.ply")
+print("Your reconstruction has been saved to splat.ply")

doc/setup.md

@@ -0,0 +1,58 @@
+# Setup
+
+## Prerequisites
+
+* A linux 64-bits architecture (i.e. `linux-64` platform in `mamba info`).
+* A NVIDIA GPU with at least 32 Gb of VRAM.
+
+## 1. Setup Python Environment
+
+The following will install the default environment. If you use `conda` instead of `mamba`, replace its name in the first two lines. Note that you may have to build the environment on a compute node with GPU (e.g., you may get a `RuntimeError: Not compiled with GPU support` error when running certain parts of the code that use Pytorch3D).
+
+```bash
+# create sam3d-objects environment
+mamba env create -f environments/default.yml
+mamba activate sam3d-objects
+
+# for pytorch/cuda dependencies
+export PIP_EXTRA_INDEX_URL="https://pypi.ngc.nvidia.com https://download.pytorch.org/whl/cu121"
+
+# install sam3d-objects and core dependencies
+pip install -e '.[dev]'
+pip install -e '.[p3d]' # pytorch3d dependency on pytorch is broken, this 2-step approach solves it
+
+# for inference
+export PIP_FIND_LINKS="https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.5.1_cu121.html"
+pip install -e '.[inference]'
+
+# patch things that aren't yet in official pip packages
+./patching/hydra # https://github.com/facebookresearch/hydra/pull/2863
+```
+
+## 2. Getting Checkpoints
+
+### From HuggingFace
+
+⚠️ Before using SAM 3D Objects, please request access to the checkpoints on the SAM 3D Objects
+Hugging Face [repo](https://huggingface.co/facebook/sam-3d-objects). Once accepted, you
+need to be authenticated to download the checkpoints. You can do this by running
+the following [steps](https://huggingface.co/docs/huggingface_hub/en/quick-start#authentication)
+(e.g. `hf auth login` after generating an access token).
+
+⚠️ SAM 3D Objects is available via HuggingFace globally, **except** in comprehensively sanctioned jurisdictions.
+Sanctioned jurisdiction will result in requests being **rejected**.
+
+```bash
+pip install 'huggingface-hub[cli]<1.0'
+
+TAG=hf
+hf download \
+  --repo-type model \
+  --local-dir checkpoints/${TAG}-download \
+  --max-workers 1 \
+  facebook/sam-3d-objects
+mv checkpoints/${TAG}-download/checkpoints checkpoints/${TAG}
+rm -rf checkpoints/${TAG}-download
+```
+
+

environments/default.yml

@@ -0,0 +1,216 @@
+name: sam3d-objects
+channels:
+  - conda-forge
+dependencies:
+  - _libgcc_mutex=0.1=conda_forge
+  - _openmp_mutex=4.5=2_gnu
+  - alsa-lib=1.2.13=hb9d3cd8_0
+  - attr=2.5.1=h166bdaf_1
+  - binutils=2.43=h4852527_4
+  - binutils_impl_linux-64=2.43=h4bf12b8_4
+  - binutils_linux-64=2.43=h4852527_4
+  - bzip2=1.0.8=h4bc722e_7
+  - c-compiler=1.7.0=hd590300_1
+  - ca-certificates=2025.1.31=hbcca054_0
+  - cairo=1.18.0=h3faef2a_0
+  - cuda-cccl=12.1.109=ha770c72_0
+  - cuda-cccl-impl=2.0.1=ha770c72_1
+  - cuda-cccl_linux-64=12.1.109=ha770c72_0
+  - cuda-command-line-tools=12.1.1=ha770c72_0
+  - cuda-compiler=12.1.1=hbad6d8a_0
+  - cuda-cudart=12.1.105=hd3aeb46_0
+  - cuda-cudart-dev=12.1.105=hd3aeb46_0
+  - cuda-cudart-dev_linux-64=12.1.105=h59595ed_0
+  - cuda-cudart-static=12.1.105=hd3aeb46_0
+  - cuda-cudart-static_linux-64=12.1.105=h59595ed_0
+  - cuda-cudart_linux-64=12.1.105=h59595ed_0
+  - cuda-cuobjdump=12.1.111=h59595ed_0
+  - cuda-cupti=12.1.105=h59595ed_0
+  - cuda-cupti-dev=12.1.105=h59595ed_0
+  - cuda-cuxxfilt=12.1.105=h59595ed_0
+  - cuda-driver-dev=12.1.105=hd3aeb46_0
+  - cuda-driver-dev_linux-64=12.1.105=h59595ed_0
+  - cuda-gdb=12.1.105=hd47b8d6_0
+  - cuda-libraries=12.1.1=ha770c72_0
+  - cuda-libraries-dev=12.1.1=ha770c72_0
+  - cuda-nsight=12.1.105=ha770c72_0
+  - cuda-nvcc=12.1.105=hcdd1206_1
+  - cuda-nvcc-dev_linux-64=12.1.105=ha770c72_0
+  - cuda-nvcc-impl=12.1.105=hd3aeb46_0
+  - cuda-nvcc-tools=12.1.105=hd3aeb46_0
+  - cuda-nvcc_linux-64=12.1.105=h8a487aa_1
+  - cuda-nvdisasm=12.1.105=h59595ed_0
+  - cuda-nvml-dev=12.1.105=h59595ed_0
+  - cuda-nvprof=12.1.105=h59595ed_0
+  - cuda-nvprune=12.1.105=h59595ed_0
+  - cuda-nvrtc=12.1.105=hd3aeb46_0
+  - cuda-nvrtc-dev=12.1.105=hd3aeb46_0
+  - cuda-nvtx=12.1.105=h59595ed_0
+  - cuda-nvvp=12.1.105=h59595ed_0
+  - cuda-opencl=12.1.105=h59595ed_0
+  - cuda-opencl-dev=12.1.105=h59595ed_0
+  - cuda-profiler-api=12.1.105=ha770c72_0
+  - cuda-sanitizer-api=12.1.105=h59595ed_0
+  - cuda-toolkit=12.1.1=ha804496_0
+  - cuda-tools=12.1.1=ha770c72_0
+  - cuda-version=12.1=h1d6eff3_3
+  - cuda-visual-tools=12.1.1=ha770c72_0
+  - cxx-compiler=1.7.0=h00ab1b0_1
+  - dbus=1.13.6=h5008d03_3
+  - expat=2.6.4=h5888daf_0
+  - font-ttf-dejavu-sans-mono=2.37=hab24e00_0
+  - font-ttf-inconsolata=3.000=h77eed37_0
+  - font-ttf-source-code-pro=2.038=h77eed37_0
+  - font-ttf-ubuntu=0.83=h77eed37_3
+  - fontconfig=2.15.0=h7e30c49_1
+  - fonts-conda-ecosystem=1=0
+  - fonts-conda-forge=1=0
+  - freetype=2.13.3=h48d6fc4_0
+  - gcc=12.4.0=h236703b_2
+  - gcc_impl_linux-64=12.4.0=h26ba24d_2
+  - gcc_linux-64=12.4.0=h6b7512a_8
+  - gds-tools=1.6.1.9=hd3aeb46_0
+  - gettext=0.23.1=h5888daf_0
+  - gettext-tools=0.23.1=h5888daf_0
+  - glib=2.82.2=h07242d1_1
+  - glib-tools=2.82.2=h4833e2c_1
+  - gmp=6.3.0=hac33072_2
+  - graphite2=1.3.13=h59595ed_1003
+  - gst-plugins-base=1.24.4=h9ad1361_0
+  - gstreamer=1.24.4=haf2f30d_0
+  - gxx=12.4.0=h236703b_2
+  - gxx_impl_linux-64=12.4.0=h3ff227c_2
+  - gxx_linux-64=12.4.0=h8489865_8
+  - harfbuzz=8.5.0=hfac3d4d_0
+  - icu=73.2=h59595ed_0
+  - kernel-headers_linux-64=3.10.0=he073ed8_18
+  - keyutils=1.6.1=h166bdaf_0
+  - krb5=1.21.3=h659f571_0
+  - lame=3.100=h166bdaf_1003
+  - ld_impl_linux-64=2.43=h712a8e2_4
+  - libasprintf=0.23.1=h8e693c7_0
+  - libasprintf-devel=0.23.1=h8e693c7_0
+  - libcap=2.75=h39aace5_0
+  - libclang-cpp15=15.0.7=default_h127d8a8_5
+  - libclang13=19.1.2=default_h9c6a7e4_1
+  - libcublas=12.1.3.1=hd3aeb46_0
+  - libcublas-dev=12.1.3.1=hd3aeb46_0
+  - libcufft=11.0.2.54=hd3aeb46_0
+  - libcufft-dev=11.0.2.54=hd3aeb46_0
+  - libcufile=1.6.1.9=hd3aeb46_0
+  - libcufile-dev=1.6.1.9=hd3aeb46_0
+  - libcups=2.3.3=h4637d8d_4
+  - libcurand=10.3.2.106=hd3aeb46_0
+  - libcurand-dev=10.3.2.106=hd3aeb46_0
+  - libcusolver=11.4.5.107=hd3aeb46_0
+  - libcusolver-dev=11.4.5.107=hd3aeb46_0
+  - libcusparse=12.1.0.106=hd3aeb46_0
+  - libcusparse-dev=12.1.0.106=hd3aeb46_0
+  - libedit=3.1.20250104=pl5321h7949ede_0
+  - libevent=2.1.12=hf998b51_1
+  - libexpat=2.6.4=h5888daf_0
+  - libffi=3.4.6=h2dba641_0
+  - libflac=1.4.3=h59595ed_0
+  - libgcc=14.2.0=h767d61c_2
+  - libgcc-devel_linux-64=12.4.0=h1762d19_102
+  - libgcc-ng=14.2.0=h69a702a_2
+  - libgcrypt-lib=1.11.0=hb9d3cd8_2
+  - libgettextpo=0.23.1=h5888daf_0
+  - libgettextpo-devel=0.23.1=h5888daf_0
+  - libglib=2.82.2=h2ff4ddf_1
+  - libgomp=14.2.0=h767d61c_2
+  - libgpg-error=1.51=hbd13f7d_1
+  - libiconv=1.18=h4ce23a2_1
+  - libjpeg-turbo=3.0.0=hd590300_1
+  - libllvm15=15.0.7=hb3ce162_4
+  - libllvm19=19.1.2=ha7bfdaf_0
+  - liblzma=5.6.4=hb9d3cd8_0
+  - liblzma-devel=5.6.4=hb9d3cd8_0
+  - libnpp=12.1.0.40=hd3aeb46_0
+  - libnpp-dev=12.1.0.40=hd3aeb46_0
+  - libnsl=2.0.1=hd590300_0
+  - libnuma=2.0.18=h4ab18f5_2
+  - libnvjitlink=12.1.105=hd3aeb46_0
+  - libnvjitlink-dev=12.1.105=hd3aeb46_0
+  - libnvjpeg=12.2.0.2=h59595ed_0
+  - libnvjpeg-dev=12.2.0.2=ha770c72_0
+  - libogg=1.3.5=h4ab18f5_0
+  - libopus=1.3.1=h7f98852_1
+  - libpng=1.6.47=h943b412_0
+  - libpq=16.8=h87c4ccc_0
+  - libsanitizer=12.4.0=ha732cd4_2
+  - libsndfile=1.2.2=hc60ed4a_1
+  - libsqlite=3.49.1=hee588c1_2
+  - libstdcxx=14.2.0=h8f9b012_2
+  - libstdcxx-devel_linux-64=12.4.0=h1762d19_102
+  - libstdcxx-ng=14.2.0=h4852527_2
+  - libsystemd0=257.4=h4e0b6ca_1
+  - libuuid=2.38.1=h0b41bf4_0
+  - libvorbis=1.3.7=h9c3ff4c_0
+  - libxcb=1.15=h0b41bf4_0
+  - libxkbcommon=1.7.0=h662e7e4_0
+  - libxkbfile=1.1.0=h166bdaf_1
+  - libxml2=2.12.7=h4c95cb1_3
+  - libzlib=1.3.1=hb9d3cd8_2
+  - lz4-c=1.10.0=h5888daf_1
+  - mpg123=1.32.9=hc50e24c_0
+  - mysql-common=8.3.0=h70512c7_5
+  - mysql-libs=8.3.0=ha479ceb_5
+  - ncurses=6.5=h2d0b736_3
+  - nsight-compute=2023.1.1.4=h3718151_0
+  - nspr=4.36=h5888daf_0
+  - nss=3.108=h159eef7_0
+  - ocl-icd=2.3.2=hb9d3cd8_2
+  - opencl-headers=2024.10.24=h5888daf_0
+  - openssl=3.4.1=h7b32b05_0
+  - packaging=24.2=pyhd8ed1ab_2
+  - pcre2=10.44=hba22ea6_2
+  - pip=25.0.1=pyh8b19718_0
+  - pixman=0.44.2=h29eaf8c_0
+  - pthread-stubs=0.4=hb9d3cd8_1002
+  - pulseaudio-client=17.0=hb77b528_0
+  - python=3.11.0=he550d4f_1_cpython
+  - qt-main=5.15.8=hc9dc06e_21
+  - readline=8.2=h8c095d6_2
+  - setuptools=75.8.2=pyhff2d567_0
+  - sysroot_linux-64=2.17=h0157908_18
+  - tk=8.6.13=noxft_h4845f30_101
+  - tzdata=2025b=h78e105d_0
+  - wayland=1.23.1=h3e06ad9_0
+  - wheel=0.45.1=pyhd8ed1ab_1
+  - xcb-util=0.4.0=hd590300_1
+  - xcb-util-image=0.4.0=h8ee46fc_1
+  - xcb-util-keysyms=0.4.0=h8ee46fc_1
+  - xcb-util-renderutil=0.3.9=hd590300_1
+  - xcb-util-wm=0.4.1=h8ee46fc_1
+  - xkeyboard-config=2.42=h4ab18f5_0
+  - xorg-compositeproto=0.4.2=hb9d3cd8_1002
+  - xorg-damageproto=1.2.1=hb9d3cd8_1003
+  - xorg-fixesproto=5.0=hb9d3cd8_1003
+  - xorg-inputproto=2.3.2=hb9d3cd8_1003
+  - xorg-kbproto=1.0.7=hb9d3cd8_1003
+  - xorg-libice=1.1.2=hb9d3cd8_0
+  - xorg-libsm=1.2.6=he73a12e_0
+  - xorg-libx11=1.8.9=h8ee46fc_0
+  - xorg-libxau=1.0.12=hb9d3cd8_0
+  - xorg-libxcomposite=0.4.6=h0b41bf4_1
+  - xorg-libxdamage=1.1.5=h7f98852_1
+  - xorg-libxdmcp=1.1.5=hb9d3cd8_0
+  - xorg-libxext=1.3.4=h0b41bf4_2
+  - xorg-libxfixes=5.0.3=h7f98852_1004
+  - xorg-libxi=1.7.10=h4bc722e_1
+  - xorg-libxrandr=1.5.2=h7f98852_1
+  - xorg-libxrender=0.9.11=hd590300_0
+  - xorg-libxtst=1.2.5=h4bc722e_0
+  - xorg-randrproto=1.5.0=hb9d3cd8_1002
+  - xorg-recordproto=1.14.2=hb9d3cd8_1003
+  - xorg-renderproto=0.11.1=hb9d3cd8_1003
+  - xorg-util-macros=1.20.2=hb9d3cd8_0
+  - xorg-xextproto=7.3.0=hb9d3cd8_1004
+  - xorg-xf86vidmodeproto=2.3.1=hb9d3cd8_1005
+  - xorg-xproto=7.0.31=hb9d3cd8_1008
+  - xz=5.6.4=hbcc6ac9_0
+  - xz-gpl-tools=5.6.4=hbcc6ac9_0
+  - xz-tools=5.6.4=hb9d3cd8_0
+  - zlib=1.3.1=hb9d3cd8_2
+  - zstd=1.5.7=hb8e6e7a_2

notebook/demo_3db_mesh_alignment.ipynb

@@ -0,0 +1,149 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# SAM 3D Body (3DB) Mesh Alignment to SAM 3D Object Scale\n",
+    "\n",
+    "This notebook processes a single 3DB mesh and aligns it to the SAM 3D Objects scale.\n",
+    "\n",
+    "**Input Data:**\n",
+    "- `images/human_object/image.jpg` - Input image for MoGe\n",
+    "- `meshes/human_object/3DB_results/mask_human.png` - Human mask\n",
+    "- `meshes/human_object/3DB_results/human.ply` - Single 3DB mesh in OpenGL coordinates\n",
+    "- `meshes/human_object/3DB_results/focal_length.json` - 3DB focal length\n",
+    "\n",
+    "**Output:**\n",
+    "- `meshes/human_object/aligned_meshes/human_aligned.ply` - Aligned 3DB mesh in OpenGL coordinates"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import torch\n",
+    "import matplotlib.pyplot as plt\n",
+    "from PIL import Image\n",
+    "from mesh_alignment import process_and_save_alignment\n",
+    "\n",
+    "device = 'cuda' if torch.cuda.is_available() else 'cpu'\n",
+    "print(f\"Using device: {device}\")\n",
+    "PATH = os.getcwd()\n",
+    "print(f\"Current working directory: {PATH}\")\n",
+    "\n",
+    "# Please inference the SAM 3D Body (3DB) Repo (https://github.com/facebookresearch/sam-3d-body) to get the 3DB Results\n",
+    "image_path = f\"{PATH}/images/human_object/image.png\"\n",
+    "mask_path = f\"{PATH}/meshes/human_object/3DB_results/mask_human.png\"\n",
+    "mesh_path = f\"{PATH}/meshes/human_object/3DB_results/human.ply\"\n",
+    "focal_length_json_path = f\"{PATH}/meshes/human_object/3DB_results/focal_length.json\"\n",
+    "output_dir = f\"{PATH}/meshes/human_object/aligned_meshes\"\n",
+    "os.makedirs(output_dir, exist_ok=True)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Load and Display Input Data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "input_image = Image.open(image_path)\n",
+    "mask = Image.open(mask_path).convert('L')\n",
+    "fig, axes = plt.subplots(1, 2, figsize=(10, 5))\n",
+    "axes[0].imshow(input_image)\n",
+    "axes[0].set_title('Input Image')\n",
+    "axes[0].axis('off')\n",
+    "axes[1].imshow(mask, cmap='gray')\n",
+    "axes[1].set_title('Mask')\n",
+    "axes[1].axis('off')\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Process and Save Aligned Mesh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "success, output_mesh_path, result = process_and_save_alignment(\n",
+    "    mesh_path=mesh_path,\n",
+    "    mask_path=mask_path,\n",
+    "    image_path=image_path,\n",
+    "    output_dir=output_dir,\n",
+    "    device=device,\n",
+    "    focal_length_json_path=focal_length_json_path\n",
+    ")\n",
+    "\n",
+    "if success:\n",
+    "    print(f\"Alignment completed successfully! Output: {output_mesh_path}\")\n",
+    "else:\n",
+    "    print(\"Alignment failed!\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Interactive 3D Visualization\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from mesh_alignment import visualize_meshes_interactive\n",
+    "\n",
+    "aligned_mesh_path = f\"{PATH}/meshes/human_object/aligned_meshes/human_aligned.ply\"\n",
+    "dfy_mesh_path = f\"{PATH}/meshes/human_object/3Dfy_results/0.glb\"\n",
+    "\n",
+    "demo, combined_glb_path = visualize_meshes_interactive(\n",
+    "    aligned_mesh_path=aligned_mesh_path,\n",
+    "    dfy_mesh_path=dfy_mesh_path,\n",
+    "    share=True\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "sam3d_objects-3dfy",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}

notebook/demo_multi_object.ipynb

@@ -0,0 +1,162 @@
+{
+    "cells": [
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# Copyright (c) Meta Platforms, Inc. and affiliates."
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 1. Imports and Model Loading"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "import os\n",
+                "import uuid\n",
+                "import imageio\n",
+                "import numpy as np\n",
+                "from IPython.display import Image as ImageDisplay\n",
+                "\n",
+                "from inference import Inference, ready_gaussian_for_video_rendering, load_image, load_masks, display_image, make_scene, render_video, interactive_visualizer"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "PATH = os.getcwd()\n",
+                "TAG = \"hf\"\n",
+                "config_path = f\"{PATH}/../checkpoints/{TAG}/pipeline.yaml\"\n",
+                "inference = Inference(config_path, compile=False)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 2. Load input image to lift to 3D (multiple objects)"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "IMAGE_PATH = f\"{PATH}/images/shutterstock_stylish_kidsroom_1640806567/image.png\"\n",
+                "IMAGE_NAME = os.path.basename(os.path.dirname(IMAGE_PATH))\n",
+                "\n",
+                "image = load_image(IMAGE_PATH)\n",
+                "masks = load_masks(os.path.dirname(IMAGE_PATH), extension=\".png\")\n",
+                "display_image(image, masks)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 3. Generate Gaussian Splats"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "outputs = [inference(image, mask, seed=42) for mask in masks]"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 4. Visualize Gaussian Splat of the Scene\n",
+                "### a. Animated Gif"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "scene_gs = make_scene(*outputs)\n",
+                "scene_gs = ready_gaussian_for_video_rendering(scene_gs)\n",
+                "\n",
+                "# export gaussian splatting (as point cloud)\n",
+                "scene_gs.save_ply(f\"{PATH}/gaussians/multi/{IMAGE_NAME}.ply\")\n",
+                "\n",
+                "video = render_video(\n",
+                "    scene_gs,\n",
+                "    r=1,\n",
+                "    fov=60,\n",
+                "    resolution=512,\n",
+                ")[\"color\"]\n",
+                "\n",
+                "# save video as gif\n",
+                "imageio.mimsave(\n",
+                "    os.path.join(f\"{PATH}/gaussians/multi/{IMAGE_NAME}.gif\"),\n",
+                "    video,\n",
+                "    format=\"GIF\",\n",
+                "    duration=1000 / 30,  # default assuming 30fps from the input MP4\n",
+                "    loop=0,  # 0 means loop indefinitely\n",
+                ")\n",
+                "\n",
+                "# notebook display\n",
+                "ImageDisplay(url=f\"gaussians/multi/{IMAGE_NAME}.gif?cache_invalidator={uuid.uuid4()}\",)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "### b. Interactive Visualizer"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# might take a while to load (black screen)\n",
+                "interactive_visualizer(f\"{PATH}/gaussians/multi/{IMAGE_NAME}.ply\")"
+            ]
+        }
+    ],
+    "metadata": {
+        "kernelspec": {
+            "display_name": "sam3d-objects",
+            "language": "python",
+            "name": "python3"
+        },
+        "language_info": {
+            "codemirror_mode": {
+                "name": "ipython",
+                "version": 3
+            },
+            "file_extension": ".py",
+            "mimetype": "text/x-python",
+            "name": "python",
+            "nbconvert_exporter": "python",
+            "pygments_lexer": "ipython3",
+            "version": "3.11.0"
+        }
+    },
+    "nbformat": 4,
+    "nbformat_minor": 2
+}

notebook/demo_single_object.ipynb

@@ -0,0 +1,164 @@
+{
+    "cells": [
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# Copyright (c) Meta Platforms, Inc. and affiliates."
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 1. Imports and Model Loading"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "import os\n",
+                "import imageio\n",
+                "import uuid\n",
+                "from IPython.display import Image as ImageDisplay\n",
+                "from inference import Inference, ready_gaussian_for_video_rendering, render_video, load_image, load_single_mask, display_image, make_scene, interactive_visualizer"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "PATH = os.getcwd()\n",
+                "TAG = \"hf\"\n",
+                "config_path = f\"{PATH}/../checkpoints/{TAG}/pipeline.yaml\"\n",
+                "inference = Inference(config_path, compile=False)"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 2. Load input image to lift to 3D (single object)"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "IMAGE_PATH = f\"{PATH}/images/shutterstock_stylish_kidsroom_1640806567/image.png\"\n",
+                "IMAGE_NAME = os.path.basename(os.path.dirname(IMAGE_PATH))\n",
+                "\n",
+                "image = load_image(IMAGE_PATH)\n",
+                "mask = load_single_mask(os.path.dirname(IMAGE_PATH), index=14)\n",
+                "display_image(image, masks=[mask])"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 3. Generate Gaussian Splat"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# run model\n",
+                "output = inference(image, mask, seed=42)\n",
+                "\n",
+                "# export gaussian splat (as point cloud)\n",
+                "output[\"gs\"].save_ply(f\"{PATH}/gaussians/single/{IMAGE_NAME}.ply\")"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "## 4. Visualize Gaussian Splat\n",
+                "### a. Animated Gif"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# render gaussian splat\n",
+                "scene_gs = make_scene(output)\n",
+                "scene_gs = ready_gaussian_for_video_rendering(scene_gs)\n",
+                "\n",
+                "video = render_video(\n",
+                "    scene_gs,\n",
+                "    r=1,\n",
+                "    fov=60,\n",
+                "    pitch_deg=15,\n",
+                "    yaw_start_deg=-45,\n",
+                "    resolution=512,\n",
+                ")[\"color\"]\n",
+                "\n",
+                "# save video as gif\n",
+                "imageio.mimsave(\n",
+                "    os.path.join(f\"{PATH}/gaussians/single/{IMAGE_NAME}.gif\"),\n",
+                "    video,\n",
+                "    format=\"GIF\",\n",
+                "    duration=1000 / 30,  # default assuming 30fps from the input MP4\n",
+                "    loop=0,  # 0 means loop indefinitely\n",
+                ")\n",
+                "\n",
+                "# notebook display\n",
+                "ImageDisplay(url=f\"gaussians/single/{IMAGE_NAME}.gif?cache_invalidator={uuid.uuid4()}\")"
+            ]
+        },
+        {
+            "cell_type": "markdown",
+            "metadata": {},
+            "source": [
+                "### b. Interactive Visualizer"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": [
+                "# might take a while to load (black screen)\n",
+                "interactive_visualizer(f\"{PATH}/gaussians/single/{IMAGE_NAME}.ply\")"
+            ]
+        }
+    ],
+    "metadata": {
+        "kernelspec": {
+            "display_name": "sam3d_objects-3dfy",
+            "language": "python",
+            "name": "python3"
+        },
+        "language_info": {
+            "codemirror_mode": {
+                "name": "ipython",
+                "version": 3
+            },
+            "file_extension": ".py",
+            "mimetype": "text/x-python",
+            "name": "python",
+            "nbconvert_exporter": "python",
+            "pygments_lexer": "ipython3",
+            "version": "3.11.0"
+        }
+    },
+    "nbformat": 4,
+    "nbformat_minor": 2
+}

notebook/gaussians/multi/.gitignore

@@ -0,0 +1,2 @@
+*
+!.gitignore

notebook/gaussians/single/.gitignore

@@ -0,0 +1,2 @@
+*
+!.gitignore