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pedbrgs avatar pedbrgs commented on June 12, 2024

Hi @tjasmin111! Thank you very much for your interest in our work!

The FireNet network was trained on a dataset with fire and smoke, but the MobileNet network was trained on a dataset with only fire images. However, the FireNet network is not very accurate for smoke detection. In that case, I suggest you use one of our approaches (YOLOv5 + AVT or YOLOv5 + TPT).

You can see more details in our paper:

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tjasmin111 avatar tjasmin111 commented on June 12, 2024

Ok thank you for explaining this. But I don't knownwhy I have difficulty running your models. Baseline.py runs nicely but can't run detect.py at all

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pedbrgs avatar pedbrgs commented on June 12, 2024

Did you install the dependencies in a Python environment? See the Dependencies section.

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tjasmin111 avatar tjasmin111 commented on June 12, 2024

Yes. It would be best if you could have it as a docker image.

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pedbrgs avatar pedbrgs commented on June 12, 2024

@tjasmin111 I just added a Docker image to the repository. Follow the steps in Tutorial to run the models.

If you like the work and want to help us spread it to the community, please star the repository. Thank you very much once again for your interest.

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tjasmin111 avatar tjasmin111 commented on June 12, 2024

I tried it and the detections are pretty good. Was the model trained only on the D-fire dataset?

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pedbrgs avatar pedbrgs commented on June 12, 2024

@tjasmin111 I'm glad the results were pretty good. Yes, the model was trained only with images from the D-Fire dataset.

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