KAIST-NMAIL / deep-characterization-soft-sensor

deep-characterization-soft-sensor

This is code for calibrating microfluidic soft sensors, used in the following paper:

• S Han, T Kim, D Kim, Y Park, S Jo, Use of Deep Learning for Characterization of Microfluidic Soft Sensors, IEEE RA-L, 3(2): 873-880, 2018 Link

We implemented this code, under the following packages:

• Python 3.5.4
• Tensorflow
• Numpy

How to train

python main.py --epoch 100

How to test

After training, it saves checkpoint in the ./ckpt folder. You can retrieve checkpoints by setting --test flag 'True'.

python main.py --epoch 100 --test True