ijmond-camera-ai

This repository hosts code for the AI model for industrial smoke segmentation using data from the IJmond camera monitoring system.

1. Folder: samples_for_labelling

This folder includes all the necessary code for sampling images. These images will be labeled in the next stage.

2. Folder: oracle_evaluator

This folder contains the files for the annotator tool that was used to label the sampled images from the previous step.

3. Folder: bvm_training

This folder contains the code for the training of bvm model for both versions; original and semi-supervised.

4. Folder: bvm_docker

This folder contains the files used to build the Docker for running inference on the BVM model. Please refer to the readme file in the folder for more details.

Setup the conda environment (administrator only)

WARNING: this section is only for system administrators, not developers.

Install conda for all users. This assumes that Ubuntu is installed. A detailed documentation is here. First visit here to obtain the downloading path. The following script install conda for all users:

# For Ubuntu
cd ~
wget https://repo.anaconda.com/miniconda/Miniconda3-py311_23.5.2-0-Linux-x86_64.sh
sudo sh Miniconda3-py311_23.5.2-0-Linux-x86_64.sh -b -p /opt/miniconda3
echo '' | sudo tee -a /etc/bash.bashrc
echo '# For miniconda3' | sudo tee -a /etc/bash.bashrc
echo 'export PATH="/opt/miniconda3/bin:$PATH"' | sudo tee -a /etc/bash.bashrc
echo '. /opt/miniconda3/etc/profile.d/conda.sh' | sudo tee -a /etc/bash.bashrc
source /etc/bash.bashrc

For Mac OS, I recommend installing conda by using Homebrew.

# For Mac OS
brew install --cask miniconda
echo 'export PATH="/usr/local/Caskroom/miniconda/base/bin:$PATH"' >> ~/.zshrc
echo '. /usr/local/Caskroom/miniconda/base/etc/profile.d/conda.sh' >> ~/.zshrc
source ~/.bash_profile

Create conda environment and install packages. It is important to install pip first inside the newly created conda environment.

conda create -n ijmond-camera-ai
conda activate ijmond-camera-ai
conda install python=3.13
conda install pip
which pip # make sure this is the pip inside the conda environment
sh ijmond-camera-monitor/back-end/install_packages.sh

If the environment already exists and you want to remove it before installing packages, use the following:

conda deactivate
conda env remove -n ijmond-camera-ai