Open tobybreckon opened 4 years ago
A similar CNN architecture construction (i.e. 3 convolutions with pooling followed by 2 dense layers) is used in this work: FireNet: A Specialized Lightweight Fire & Smoke Detection Model for Real-Time IoT Applications Arpit Jadon, Mohd. Omama, Akshay Varshney, Mohammad Samar Ansari, Rishabh Sharm
.... smaller network taking a 64 x 64 input, runs at 24fps on a Raspberry Pi.
.... smaller network taking a 64 x 64 input, runs at 24fps on a Raspberry Pi.
raspberry pi ? i thought a powerful rig is necessary for this model to run . thankyou
If you find our fire detection software, CNN models or dataset useful - please post to let us know how you are making use of it. It's great to hear about it.
e.g.
I am using this for my {high school, college, university} project at ... for ... I am using this for ... in collaboration with .... I am using at {company, organization, .... } to ... ... [If you can't post publicly, consider just emailing - toby.breckon@durham.ac.uk]
I know it has already been used for this hackathon and by this team with thermal imagery.
How have you made use of this in your work ? let us know
It helps keep up our motivation to maintain and update the repo.
Just reply to this issue/thread.