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Deep Deconvolution for Seismic Waves with Real and Simulated Distributed Acoustic Sensing Data: State-of-the-Art Review

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Juanx65/DeepDeconv

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DeepDeconv

Deep learning based deconvolution algorithm implemented with a U-Net.

Please see also: https://github.com/Juanx65/DeepDeconvV2

Download data

Download training data from:

https://figshare.com/articles/software/Deep_Deconvolution_for_Traffic_Analysis_with_Distributed_Acoustic_Sensing_Data/16653163

Virtualenv on Windows

Install virtualenv

pip install virtualenv

Create environment

virtualenv DeepDeconv

Activate environment

DeepDeconv\Scripts\activate

Install requirements

pip install -r requirements.txt

TEST MODEL

Testing the model:

python test.py --weights "/weights/best.ckpt"

TRAIN MODEL

Training the model:

python train.py --epochs 1000

In case "cannot be loaded because running scripts is disabled on this system":

Set-ExecutionPolicy Unrestricted -Scope Process

extras

If u get error on tensorflow not working with your gpu: (this is the download link: https://www.dll-files.com/cudnn64_8.dll.html). When you get the file, you can just put in your bin directory. For example, usually in windows platform, you can put it into C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.3\bin.

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Deep Deconvolution for Seismic Waves with Real and Simulated Distributed Acoustic Sensing Data: State-of-the-Art Review

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