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GitHub / tobybreckon / fire-detection-cnn

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)

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tobybreckon%2Ffire-detection-cnn
PURL: pkg:github/tobybreckon/fire-detection-cnn

Stars: 557
Forks: 173
Open issues: 3

License: mit
Language: Python
Size: 3.44 MB
Dependencies parsed at: Pending

Created at: almost 7 years ago
Updated at: 2 months ago
Pushed at: about 4 years ago
Last synced at: 2 months ago

Topics: cnn-architecture, cnn-for-visual-recognition, computer-vision, convolutional-networks, convolutional-neural-networks, deep-learning, deep-learning-algorithms, deep-neural-networks, fire-detection, fire-detector, firenet, inceptionv1-onfire, machine-learning, network-architecture, object-detection, robot-vision, superpixel-segment, superpixels, tensorflow, tensorflow-examples

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