Dependency Conflict Error When Installing SEEM from GitHub Repository

[ericqqqqq]

had the below error when installing pip install git+https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once.git@package

pip version: pip 23.3.1
os: macOS 14.1.1

ERROR: Cannot install SEEM and seem==1.0 because these package versions have conflicting dependencies.

The conflict is caused by:
    seem 1.0 depends on numpy==1.23.1
    accelerate 0.23.0 depends on numpy>=1.17
    cityscapesscripts 2.2.2 depends on numpy
    deepspeed 0.10.3 depends on numpy
    fvcore 0.1.5.post20221221 depends on numpy
    gradio 3.42.0 depends on numpy~=1.0
    mup 1.0.0 depends on numpy
    opencv-python 4.8.1.78 depends on numpy>=1.21.2; python_version >= "3.10"
    opencv-python 4.8.1.78 depends on numpy>=1.21.4; python_version >= "3.10" and platform_system == "Darwin"
    opencv-python 4.8.1.78 depends on numpy>=1.23.5; python_version >= "3.11"

To fix this you could try to:
1. loosen the range of package versions you've specified
2. remove package versions to allow pip attempt to solve the dependency conflict

[yunyiliu]

Same issue here

[pbarker]

Same here with poetry

[francisrafal]

same here
pip: 23.3.2
OS: macOS 14.2.1

[francisrafal]

Okay, I solved this by installing Python 3.10.11 and creating a virtual environment.
But now I can't run sh make.sh from the installation instructions because it says that the environment variable CUDA_HOME is not set. It seems to me that it's not possible to run this on a Mac without an NVIDIA graphics card?

[cuizheng0520]

Okay, I solved this by installing Python 3.10.11 and creating a virtual environment. But now I can't run sh make.sh from the installation instructions because it says that the environment variable CUDA_HOME is not set. It seems to me that it's not possible to run this on a Mac without an NVIDIA graphics card?

same，very interesting, but it is definitely not legal, and there are other similar project?

[ericqqqqq]

We managed to run it smoothly on PC(windows operating system and Nvidia GPU)

[abrichr]

CUDA is indeed required, therefore local installation on MacOS is not currently available.

For now, you can deploy to EC2 on AWS via #19. Using the configured g4dn.xlarge instance type costs $0.526/hr.