ami_sc/fire-detection
ami_sc/fire-detection
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@ -19,10 +19,12 @@ We use a Motion Detection Algorithm that uses a **background subtraction** metho
![Motion Detection Algorithm](/figures/motion_detection_algorithm.png)
The used model is an XGBoost model pre-trained on labeled image datasets containing fire and non-fire images. A histogram was computed for the color channels to differentiate without using the entire images.
The used model is an **XGBoost model** pre-trained on labeled image datasets containing fire and non-fire images. A histogram was computed for the color channels to differentiate without using the entire images.
![Model Training](/figures/model_training.png)
Additional details can be found in the [Technical Report](/reports/Technical_Report.pdf) and in the [Project Slides](/reports/Project_Slides.pdf).
## Installation
First, create a `conda` environment using:

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