real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
Detect fires in videos instantly using a deep learning model.
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fire-detection-cnn has 570 stars on GitHub. It has been forked 173 times. fire-detection-cnn is written mainly in Python. It has been in active development since 2018. fire-detection-cnn is available under the MIT license. Its main topics are cnn-architecture, cnn-for-visual-recognition, computer-vision, convolutional-networks.
real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)
fire-detection-cnn is an open-source project. It is released under the MIT license.
Yes. fire-detection-cnn is free and open source — you can use, modify and self-host it.
fire-detection-cnn is available under the MIT license.
fire-detection-cnn is written mainly in Python.
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