environment_no_cuda.yml

# Use this environment file if your computer does not have a nvidia GPU and runs Windows
# or Linux. This environment file has exactly the same dependencies listed as 
# environment.yaml, minus the packages required by tensorflow to find/use GPUs. 

name: sleap_ci

channels:
    - conda-forge
    - sleap
    - anaconda

dependencies:
    # Packages SLEAP uses directly
    - conda-forge::attrs >=21.2.0
    - conda-forge::cattrs ==1.1.1
    - conda-forge::imageio-ffmpeg # Required for imageio to read/write videos with ffmpeg
    - conda-forge::jsmin
    - conda-forge::jsonpickle ==1.2
    - conda-forge::networkx
    - anaconda::numpy >=1.19.5,<1.23.0
    - conda-forge::opencv <4.9.0
    - conda-forge::pandas
    - conda-forge::pip
    - conda-forge::pillow #>=8.3.1,<=8.4.0
    - conda-forge::psutil
    - conda-forge::pykalman
    - conda-forge::pyside2 >=5.12  # To ensure application works correctly with QtPy.
    - conda-forge::python ~=3.7    # Run into _MAX_WINDOWS_WORKERS not found if ==
    - conda-forge::python-rapidjson
    - conda-forge::pyyaml
    - conda-forge::pyzmq
    - conda-forge::qtpy >=2.0.1
    - conda-forge::rich
    - conda-forge::scipy >=1.4.1,<=1.9.0
    - conda-forge::scikit-image
    - conda-forge::scikit-learn ==1.0
    - conda-forge::scikit-video
    - conda-forge::seaborn
    # - sleap::tensorflow >=2.6.3,<2.11  # No windows GPU support for >2.10
    - sleap/label/dev::tensorflow ==2.7.0
    - conda-forge::tensorflow-hub
    - conda-forge::qudida
    - conda-forge::albumentations
    - conda-forge::ndx-pose <0.2.0

    - pip:  
        - "--editable=.[conda_dev]"