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
python main.py --epoch 100
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