FireDetectionItaly/README.md

                                # FireDetectionItaly

This is for a master's thesis for Winston-Salem State University completed in April 2024

Instructions

1. Clone the repo.
2. (Recommended) Create and activate a virtualenv under the env/ directory. Git is already configured to ignore it.
3. Install the very minimal requirements using pip install -r requirements.txt
4. Run Jupyter in whatever way works for you. The simplest would be to run pip install jupyter && jupyter notebook.
5. All relevant code and instructions are in ONFIRE_PROJECT_RUNNABLE_CNNv2.ipynb.
6. Installing Tensorflow and Torch requires it's own job research that on your own. You will need to run in Linux, or MacOS (Mac Pro, high end)

Explanation

The associated models and datasets where available are in the bucket. frames_df.pkl is the ONFIRE Dataset, testing_df.pkl is the wildfire_dataset from kaggle. The results were calculated in a 4080 GTX MSI NVIDIA card 128GB DDR5 7200 mhz, in WSL2.

I will connect a paper. (Paper Connected!), okay so now that the paper is connected

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