- Arthicha Srisuchinnawong zumoarthicha@gmail.com
- Chaiyaporn Boonyasathian chaiya45689@gmail.com
- Jirapat Thasingthong
- Kaewkirati Boukaew
- Kitti Pongaksorn bosskitti7983@gmail.com
- Lucksawan Yutthanakorn
- Naris Asawalertsak
- Penpat Ritprapa zefirosfenix@gmail.com
- Phurin Rangpong
- Rath Phutthitada
- Sirin Tangpoolcharoen
- MNIST_data : MNIST 0-9 dataset
- data0-9compress: dataset that is used in term project (zip file; use have to unzip them)
- IP_ADDR.py : Image_Processing_And_Do_something_to_make_Dataset_be_Ready class
- Binarization
- Noise Removal
- Capturing Image
- Blur
- Morphological Transformation
- Perspective Transformation
- Rotation
- Distortion
- Magnification
- Font2Image
- Tenzor.py : tensorflow machine learning model class consist of 3 model
- Neural Network (NN)
- Convolutional Neural Network (CNN)
- AutoEncoder (AE)
- Train.py : main program for training the agent
after clone this program, you should
- change GETT_PATH and SAVE_PATH in file Train.py to your project directory
- download and unzip dataset in data0-9compress
- in case of you want to save CONV_PIC, you should create folder layer0 - layeri in your project directory