Shypd.aiThe largest open index of AI toolsfire-detection-cnn is an open-source scientific computing tool that provides real-time fire detection in video imagery using convolutional neural networks. It offers various CNN architectures for both full-frame and superpixel-based fire localization.
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fire-detection-cnn is an open-source project offering real-time fire detection in video imagery through experimentally defined convolutional neural network (CNN) architectures. Based on research from ICIP 2018 and ICMLA 2019, it provides models like FireNet, InceptionV1-OnFire, InceptionV3-OnFire, and InceptionV4-OnFire for binary fire detection and superpixel-based localization. The tool emphasizes reduced complexity for high accuracy and computational performance, achieving up to 17 fps processing. It supports Python 3.7.x, TensorFlow 1.15, TFLearn 0.3.2, and OpenCV 3.x/4.x, and includes scripts for downloading pre-trained models and datasets. Users can convert models to protocol buffer (.pb) and tflite formats for integration with other frameworks like OpenCV DNN.
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