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Please tell us about your usage ... #28

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tobybreckon opened this issue Sep 24, 2019 · 2 comments
Open

Please tell us about your usage ... #28

tobybreckon opened this issue Sep 24, 2019 · 2 comments
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@tobybreckon
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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.

@tobybreckon tobybreckon self-assigned this Sep 24, 2019
@tobybreckon tobybreckon pinned this issue Sep 24, 2019
@tobybreckon
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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.

@Afsalmc
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Afsalmc commented Sep 27, 2021

.... 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

Repository owner deleted a comment from xiaohoua Apr 8, 2022
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