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#!/bin/bash
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#!/bin/bash
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#module load anaconda
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#source activate /scratch/work/molinee2/conda_envs/unet_env
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python inference.py path_experiment="experiments/trained_model" inference.audio=$1
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python inference.py path_experiment="experiments/trained_model" inference.audio=$1
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8
train.sh
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train.sh
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#!/bin/bash
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#!/bin/bash
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#module load anaconda
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#module load matlab/r2020b
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#
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#source activate /scratch/work/molinee2/conda_envs/unet_env
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n=1
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n=1
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PATH_EXPERIMENT=/scratch/work/molinee2/unet_dir/unet_denoising_github/experiments/${n}
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PATH_EXPERIMENT=/scratch/work/molinee2/unet_dir/unet_denoising_github/experiments/${n}
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mkdir $PATH_EXPERIMENT
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mkdir $PATH_EXPERIMENT
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python train.py path_experiment="$PATH_EXPERIMENT" epochs=150 freq_inference=50 batch_size=2 steps_per_epoch=2000
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python train.py path_experiment="$PATH_EXPERIMENT" epochs=150 batch_size=2 steps_per_epoch=2000
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