Collection of tools for recurring tasks
Project description
bdtools
Toolkit for reccuring tasks
Index
Installation
Pease select your operating system
Windows
Step 1: Download this GitHub Repository
- Click on the green
<> Codebutton and downloadZIP - Unzip the downloaded file to a desired location
Step 2: Install Miniforge (Minimal Conda installer)
- Download and install Miniforge for your operating system
- Run the downloaded
.exefile- Select "Add Miniforge3 to PATH environment variable"
Step 3: Setup Conda
- Open the newly installed Miniforge Prompt
- Move to the downloaded GitHub repository
- Run one of the following command:
# TensorFlow with GPU support
mamba env create -f environment_tf-gpu.yml
# TensorFlow with no GPU support
mamba env create -f environment_tf-nogpu.yml
- Activate Conda environment:
conda activate bdtools
Your prompt should now start with (bdtools) instead of (base)
MacOS
Step 1: Download this GitHub Repository
- Click on the green
<> Codebutton and downloadZIP - Unzip the downloaded file to a desired location
Step 2: Install Miniforge (Minimal Conda installer)
- Download and install Miniforge for your operating system
- Open your terminal
- Move to the directory containing the Miniforge installer
- Run one of the following command:
# Intel-Series
bash Miniforge3-MacOSX-x86_64.sh
# M-Series
bash Miniforge3-MacOSX-arm64.sh
Step 3: Setup Conda
- Re-open your terminal
- Move to the downloaded GitHub repository
- Run one of the following command:
# TensorFlow with GPU support
mamba env create -f environment_tf-gpu.yml
# TensorFlow with no GPU support
mamba env create -f environment_tf-nogpu.yml
- Activate Conda environment:
conda activate bdtools
Your prompt should now start with (bdtools) instead of (base)
Comments
- Input data are modified when using get_edt with the following parameters (and maybe others):
- get_edt(regions, target="foreground", normalize="object")
Project details
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