Failed to build SAM-2

[patermars]

When I tried to install SAM 2 using these command, it displayed this issue:

git clone git@github.com:facebookresearch/segment-anything-2.git

cd segment-anything-2; pip install -e .

Error:
Cloning into 'segment-anything-2'...
Host key verification failed.
fatal: Could not read from remote repository.

Please make sure you have the correct access rights
and the repository exists.
/bin/bash: line 1: cd: segment-anything-2: No such file or directory
Obtaining file:///content
ERROR: file:///content does not appear to be a Python project: neither 'setup.py' nor 'pyproject.toml' found

On fixing the git clone issue by replacing the clone link with the github link in address bar, it displayed:

Error:

Cloning into 'segment-anything-2'...
remote: Enumerating objects: 285, done.
remote: Counting objects: 100% (6/6), done.
remote: Compressing objects: 100% (5/5), done.
remote: Total 285 (delta 2), reused 1 (delta 1), pack-reused 279
Receiving objects: 100% (285/285), 42.91 MiB | 26.78 MiB/s, done.
Resolving deltas: 100% (10/10), done.
Obtaining file:///content/segment-anything-2
  Installing build dependencies ... done
  Checking if build backend supports build_editable ... done
  Getting requirements to build editable ... done
  Preparing editable metadata (pyproject.toml) ... done
Requirement already satisfied: torch>=2.3.1 in /usr/local/lib/python3.10/dist-packages (from SAM-2==1.0) (2.3.1+cu121)
Requirement already satisfied: torchvision>=0.18.1 in /usr/local/lib/python3.10/dist-packages (from SAM-2==1.0) (0.18.1+cu121)
Requirement already satisfied: numpy>=1.24.4 in /usr/local/lib/python3.10/dist-packages (from SAM-2==1.0) (1.26.4)
Requirement already satisfied: tqdm>=4.66.1 in /usr/local/lib/python3.10/dist-packages (from SAM-2==1.0) (4.66.4)
Collecting hydra-core>=1.3.2 (from SAM-2==1.0)
  Using cached hydra_core-1.3.2-py3-none-any.whl.metadata (5.5 kB)
Collecting iopath>=0.1.10 (from SAM-2==1.0)
  Using cached iopath-0.1.10-py3-none-any.whl
Requirement already satisfied: pillow>=9.4.0 in /usr/local/lib/python3.10/dist-packages (from SAM-2==1.0) (9.4.0)
Collecting omegaconf<2.4,>=2.2 (from hydra-core>=1.3.2->SAM-2==1.0)
  Using cached omegaconf-2.3.0-py3-none-any.whl.metadata (3.9 kB)
Collecting antlr4-python3-runtime==4.9.* (from hydra-core>=1.3.2->SAM-2==1.0)
  Using cached antlr4_python3_runtime-4.9.3-py3-none-any.whl
Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from hydra-core>=1.3.2->SAM-2==1.0) (24.1)
Requirement already satisfied: typing-extensions in /usr/local/lib/python3.10/dist-packages (from iopath>=0.1.10->SAM-2==1.0) (4.12.2)
Collecting portalocker (from iopath>=0.1.10->SAM-2==1.0)
  Using cached portalocker-2.10.1-py3-none-any.whl.metadata (8.5 kB)
Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from torch>=2.3.1->SAM-2==1.0) (3.15.4)
Requirement already satisfied: sympy in /usr/local/lib/python3.10/dist-packages (from torch>=2.3.1->SAM-2==1.0) (1.13.1)
Requirement already satisfied: networkx in /usr/local/lib/python3.10/dist-packages (from torch>=2.3.1->SAM-2==1.0) (3.3)
Requirement already satisfied: jinja2 in /usr/local/lib/python3.10/dist-packages (from torch>=2.3.1->SAM-2==1.0) (3.1.4)
Requirement already satisfied: fsspec in /usr/local/lib/python3.10/dist-packages (from torch>=2.3.1->SAM-2==1.0) (2024.6.1)
Collecting nvidia-cuda-nvrtc-cu12==12.1.105 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-runtime-cu12==12.1.105 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cuda-cupti-cu12==12.1.105 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cudnn-cu12==8.9.2.26 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cublas-cu12==12.1.3.1 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cufft-cu12==11.0.2.54 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-curand-cu12==10.3.2.106 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl.metadata (1.5 kB)
Collecting nvidia-cusolver-cu12==11.4.5.107 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-cusparse-cu12==12.1.0.106 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl.metadata (1.6 kB)
Collecting nvidia-nccl-cu12==2.20.5 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl.metadata (1.8 kB)
Collecting nvidia-nvtx-cu12==12.1.105 (from torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl.metadata (1.7 kB)
Requirement already satisfied: triton==2.3.1 in /usr/local/lib/python3.10/dist-packages (from torch>=2.3.1->SAM-2==1.0) (2.3.1)
Collecting nvidia-nvjitlink-cu12 (from nvidia-cusolver-cu12==11.4.5.107->torch>=2.3.1->SAM-2==1.0)
  Using cached nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl.metadata (1.5 kB)
Requirement already satisfied: PyYAML>=5.1.0 in /usr/local/lib/python3.10/dist-packages (from omegaconf<2.4,>=2.2->hydra-core>=1.3.2->SAM-2==1.0) (6.0.1)
Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2->torch>=2.3.1->SAM-2==1.0) (2.1.5)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /usr/local/lib/python3.10/dist-packages (from sympy->torch>=2.3.1->SAM-2==1.0) (1.3.0)
Using cached hydra_core-1.3.2-py3-none-any.whl (154 kB)
Using cached nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl (410.6 MB)
Using cached nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (14.1 MB)
Using cached nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (23.7 MB)
Using cached nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (823 kB)
Using cached nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl (731.7 MB)
Using cached nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl (121.6 MB)
Using cached nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl (56.5 MB)
Using cached nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl (124.2 MB)
Using cached nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl (196.0 MB)
Using cached nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl (176.2 MB)
Using cached nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl (99 kB)
Using cached omegaconf-2.3.0-py3-none-any.whl (79 kB)
Using cached portalocker-2.10.1-py3-none-any.whl (18 kB)
Using cached nvidia_nvjitlink_cu12-12.5.82-py3-none-manylinux2014_x86_64.whl (21.3 MB)
Building wheels for collected packages: SAM-2
  error: subprocess-exited-with-error
  
  × Building editable for SAM-2 (pyproject.toml) did not run successfully.
  │ exit code: 1
  ╰─> See above for output.
  
  note: This error originates from a subprocess, and is likely not a problem with pip.
  Building editable for SAM-2 (pyproject.toml) ... error
  ERROR: Failed building editable for SAM-2
Failed to build SAM-2
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (SAM-2)

Environment:

Python = Python 3.10.12
Google Colab + T4

Kindly fix or tell me any workaround for this part.

[yahooo-m]

+1

[TimLL123456]

+1

[emi-dm]

It's not possible to install it in a CPU only machine! Same error

[yahooo-m]

It's not possible to install it in a CPU only machine! Same error

I install it in an Nvidia V100. Same error

[ChinaStark]

CUDA 12.1 ?

[mahmuod-aboalhassan]

+1

It's not possible to install it in a CPU only machine! Same error

also the same not working with CPU

[laiwenq]

1. Download the Zip file instead of directly building sam2.
2. Unzip the file, cd to the directory where you find setup.py
3. Try pip install -e .
4. If it fails, try to manually install torch==2.3.1 with cuda 12.1 (see Failed to build SAM-2 and RuntimeError in infer #18 )
5. Repeat step 3.

[proxi666]

1. Download the Zip file instead of directly building sam2.
2. Unzip the file, cd to the directory where you find setup.py
3. Try pip install -e .
4. If it fails, try to manually install torch==2.3.1 with cuda 12.1 (see Failed to build SAM-2 and RuntimeError in infer #18 )
5. Repeat step 3.

basically upgrading cuda from 11.8 to cuda 12.1 solves the issue...

[aryansaurav]

You have to update gcc to version 9.3 or higher.. worked for me! worth a try.

[aryansaurav]

Actually I had the latest torch 2.4 with cuda 12.1. But the gcc version was the issue

…

On Tue, Jul 30, 2024, 19:20 ZincCat ***@***.***> wrote: For cuda 11.8, you'll need to install the pytorch built on it first pip3 install torch==2.3.1+cu118 torchvision==0.18.1+cu118 torchaudio --index-url https://download.pytorch.org/whl/cu118 — Reply to this email directly, view it on GitHub <#21 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AKVC2DB3HH6D7CA2RGDYAETZO7DNHAVCNFSM6AAAAABLV4GXLCVHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDENJYHA2DCNBXG4> . You are receiving this because you commented.Message ID: ***@***.***>

[zinccat]

For cuda 11.8, you'll need to install the pytorch built on it first
pip3 install torch==2.3.1+cu118 torchvision==0.18.1+cu118 torchaudio --index-url https://download.pytorch.org/whl/cu118
Then pip install --no-build-isolation -e .

[patermars]

1. Download the Zip file instead of directly building sam2.
2. Unzip the file, cd to the directory where you find setup.py
3. Try pip install -e .
4. If it fails, try to manually install torch==2.3.1 with cuda 12.1 (see Failed to build SAM-2 and RuntimeError in infer #18 )
5. Repeat step 3.

Thanks, Some guy in another issue told me yesterday about this way around, it worked for me. Thanks for helping out others.

[cjxxu]

torch 2.4.0+cu121
torchaudio 2.4.0+cu121
torchvision 0.19.0+cu121
error: command 'C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v12.1\bin\nvcc' failed with exit code 2
[end of output]

note: This error originates from a subprocess, and is likely not a problem with pip.
ERROR: Failed building editable for SAM-2
Failed to build SAM-2
ERROR: ERROR: Failed to build installable wheels for some pyproject.toml based projects (SAM-2)

I have the same problem too， don't know how to fix