Dependency Installation

# Create a virtual environment named my-env with Python version 3.7:
conda create -n my-env python=3.7
# Update the environment variables in .bashrc:
conda init bash && source /root/.bashrc
# Activate the created virtual environment my-env:
conda activate my-env

# PyTorch: Find the appropriate version from Previous PyTorch Versions. For example:
conda install pytorch==1.9.0 torchvision==0.10.0 torchaudio==0.9.0 cudatoolkit=11.3 -c pytorch -c conda-forge
# TensorFlow: Find the corresponding version link from Install TensorFlow with pip. For example:
pip install https://storage.googleapis.com/tensorflow/linux/gpu/tensorflow_gpu-2.6.0-cp38-cp38-manylinux2010_x86_64.whl

# Using pip: For example,
pip install opencv-python scipy numpy Pillow
# Using conda: For example,
conda install numpy
# Searching for package names:
pip search xxxx  
conda search xxxx
# Trick to view available versions if unsure: Write a random version number (e.g., 9.9), 
# and pip will list all available versions in the error message:
pip install xxx=9.9

# Example for installing zip:
apt-get update    # Only needs to be run once, not every time  
apt-get install -y zip
# Searching for package names:
apt-get update    # Only needs to be run once, not every time  
apt-cache search xxxxx