ID: 5dee091fce66ec2832ebed03

Fire Detection

by Deepak Mangla

Check for file or smoke using AI


Contains Dockerfile  This model contains Dockerfile.


License: MIT License

 Model stats and performance
Dataset Used View
Framework Tensorflow
OS Used Linux
Publication View
Inference time in seconds per sample.

Performance data is not available.

Screenshots


What is it?

Automatically detects fire and smoke in images using computer vision. It is based on VGG-16.

How to use?

Note: Docker should be pre-installed to use this model. pip install dockship dockship run 5DEE091FCE66EC2832EBED03 5000

Now model will get hosted at localhost:5000.

Send request localhost:5000/predict?input={ 'imagePath':'https://upload.wikimedia.org/wikipedia/commons/thumb/2/2c/Golden_Gate_Bridge_bw.jpg/800px-Golden_Gate_Bridge_bw.jpg' }

output: { 'prediction': 'non-fire' 'input_file': 'localhost:5000/data/output/{uuid}.jpg' }

Author View Profile

Deepak Mangla
Faridabad, India
Gold
25
LEVEL

3087 Profile
Views

AI wizard who thinks with first principles

I am Deep Learning (Computer Vision) Engineer with specialization in enabling AI on the resource-constrained edge devices. I work on quantizations, pruning and efficient designing and deployment of DL networks. Read my article about Winograd - https://blog.usejournal.com/understanding-winograd-fast-convolution-a75458744ff

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