This is code for the paper:
Use of Deep Learning for Characterization of Microfluidic Soft Sensors, Seunghyun Han, Taekyoung Kim, Dooyoung Kim, Yong-Lae Park and, Sungho Jo, IEEE Robotics and Automation Letter (RA-L), also selected by ICRA'2018
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