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Mask_RCNN-master
input
.gitignore
CircleDetection.py
README.md
blob.png
blobDetection.py
blob_detection.jpg
data_converter.py
imageaugmentation.py
requirements.txt

README.md

Project Nucleus

A GT Agency project for the Data Science Bowl 2018 competition.

Getting Started

You can clone this repository by using the following command:

git clone https://github.com/gtagency/Project_Nucleus.git

To work with these project files, you will need a working installation of Python and a few packages, listed in requirements.txt.

If you do not have a Python installation, you first need to download and install Python (preferably Python 3), and then get the needed packages through one of the following suggested options:

  • Install and use virtualenv to create a virtual environment for your Python packages;

  • Install and use conda, a Python package manager that installs packages in their own folder;

  • Install and use pip3, setting up packages without a virtual environment.

If you are using pip3, just use pip3 install -r requirements.txt from within your cloned folder to obtain the required packages.

Note: If you choose the last option and your computer runs macOS, it comes with Python 2 included. However, there are several pre-installed packages that cannot be modified by pip, even with privileged access through sudo. For this reason, you will probably want to use pip3, as it will avoid conflicts with the default Apple tools.

Since Python 2 and Python 3 packages are installed separately, you will need to make sure you are using the version of Python for which you installed the needed packages. So, if you installed them with pip3, you'll want to run, for instance, python3 data_converter.py.

Interested in Joining?

Our weekly meetings take place Tuesdays at 6pm in "The Nest" at the Georgia Tech College of Computing Building, and our discussions are managed through Slack.