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Wildfire Detection with Deep Neural Networks

Python 22.54% Jupyter Notebook 77.35% Dockerfile 0.11%

deep-learning neural-networks computer-vision fire fire-detection

fire-detect-nn's Introduction

Wildfire detection with neural networks

Quickstart

Download the repository and pretrained weights

git clone [email protected]:tomek-l/fire-detect-nn.git
cd fire-detect-nn
wget https://dl.dropbox.com/s/6t17srif65vzqfn/firedetect-densenet121-pretrained.pt --directory-prefix=weights/

Inference on pretrained weights

pip3 install -r requirements.txt
python3 inference.py

Training & Testing

download the dataset.
unzip the folder to data/fire-detect-nn-public-combo

python3 train.py # training 
python3 train-with-gradcam.py # for the model with gradcam (for the heatmap output)
python3 test.py # evaluation

For the GradCAM heatmap generation use jupyter notebook and navigate to inference-video.ipynb

fire-detect-nn's People

Contributors

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tspannhw qqq-tech gcordova19 acanak sixitingting gcordovaupc drroad rookieokky quant1766 clei07 krishan0507

fire-detect-nn's Issues

Colab Demo?

Hello, Thank you for your great work
Can you provide a colab notebook demo of this amazing repo, It will help everyone and it will be much appreciated,
Thank you

the resnet checkpoint can't be loaded

Hi.
I downloaded the resnet50-epoch-15-valid_acc=-1-test_acc=0.9856.pt checkpoint but in inference part, I can not load it. It gives me an Error while loading:

device = "cuda:0"
m = torch.load('./weights/resnet50-epoch-8-valid_acc=0.97-test_acc=-1.00.pt')
m = m.to(device)
m.eval()

the error is:
in _load result = unpickler.load()
ModuleNotFoundError: No module named 'model'

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