Our code is based on the code from https://github.com/matterport/Mask_RCNN.
It is recommended to use windows to run this app, it works on mac but the UI does not look like as it should.
Any other operating system we are not aware whether it will work or not so run at your at own risk.
Before cloning this repository, be sure to install git LFS (Large File System). If on windows or Mac, download LFS from the git lfs website. If on Linux, download it using your package manager Then, open your terminal (or git bash if you are using windows) and run the command:
git lfs install
Afterwards, clone the repository as usual.
To install the code, you need to install anaconda. After installing, you should be able to create a new anaconda environment. To do this, run:
conda create --name NameOfEnv python=3.7
where "NameOfEnv" is replaced by whatever you want to name the environment. To activate the environment, run:
conda activate NameOfEnv
where "NameOfEnv" is replaced by whatever you named the environment. Next, cd to the 115CellCount directory and run:
pip install -r requirements.txt
First, make sure that the environment is activated. If it is not, run:
conda activate NameOfEnv
where "NameOfEnv" is replaced by whatever you named the environment. Next, cd to the 115CellCount directory and run:
python runner.py
The first run will take a while.
When done with the program, you may need to ctrl+c or close terminal.
To exit a conda environment, run:
conda deactivate
You may delete the entire 115 directory to remove the files. Removing a conda environment will require additional steps.
First, check that the conda environment is not running. If the conda environment is running, run:
conda deactivate
To get remove the conda environment, run:
conda env remove --name NameOfEnv
where "NameOfEnv" is replaced by whatever you named the environment.