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# FireDetectionItaly
This is for a master's thesis for Winston-Salem State University completed in April 2024
env/
directory. Git is already configured to ignore it.pip install -r requirements.txt
pip install jupyter && jupyter notebook
.ONFIRE_PROJECT_RUNNABLE_CNNv2.ipynb
.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
To create a project like this, just go to https://dagshub.com/repo/create and select the Jupyter Notebook + DVC project template.
Made with 🐶 by DAGsHub.
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This is a project looking for different algorithms and their ability to detect, fire, smoke from fire, and discerning from confounding elements.
https://swift-tree.dev/?p=177Are you sure you want to delete this access key?
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commented in commitc707ebc405on branch main
3 months ago OutdatedTF in december november was TF 2.6 and now TF is at TF 3.0 and models are broken. I will update TF3.0 model. Issue follows below.