adamhrv / cv-workshop

Computer Vision Workshop

Setup

The basic steps are:

• clone project
• install miniconda
• create conda or pip environment and install dependencies
• run demos

Clone Project

• git clone https://github.com/adamhrv/cv-workshop
• you may need to install git first

Install Miniconda

• Try installing conda navigator via https://www.anaconda.com/products/individual
• Or download the installer file for your system https://docs.conda.io/en/latest/miniconda.html
• and then open terminal and run bash Miniconda3-latest-MacOSX-x86_64.sh.sh change this to the name of your .sh file first

Create Conda Environemnt

• open terminal and cd into cv-workshop

conda create -n cv-workshop python=3.7
#conda activate cv-workshop  # to activate environment
conda install nb_conda
conda install -c conda-forge nb_conda_kernels
pip install -r requirements.txt
jupyter notebook

YOLOV5

• to setup YOLOV5, initialize the submodule git submodule init and then git submodule update

Troubleshooting

• dlib is only needed for the facial landmarking example. you can skip it if it's difficult to install. Building dlib may take a while. You may need to install or upgrade gcc or cmake. If on MacOS, you may also need to install xcode developer tools first. If issues, check https://github.com/davisking/dlib/
• conda: if you're using bash or zsh you may need to edit the conda env paths in your ~/.bashrc or ~/.zshrc file