- Python 3.5–3.8
- pip 19.0 or later (requires manylinux2010 support)
- Ubuntu 16.04 or later (64-bit)
- macOS 10.12.6 (Sierra) or later (64-bit) (no GPU support)
- Windows 7 or later (64-bit)
- Raspbian 9.0 or later.
- GPU support requires a CUDA®-enabled card (Ubuntu and Windows)
Clone the repopsitory:
git clone git@github.com:FolloW12587/diplom_nnetwork.git
Install the dependencies:
pip install -r requirements.txt
All settings are in the settings.py file. Here're the default settings
PROC = 0.3 # percentage of the train and test data split
STEP = 1024 # size of the data image
LIMIT_DATA_TESTEE_COUNT = 0 # limit test persons for parse. If zero there is no limit.
COUNT_IMAGES_FOR_TEST = 10 # count of images that would be parsed in attempt of authentication
CHANNELS_NUM = 14 # number of channels in image
BATCH_SIZE=32 # batch size of trainig data
EPOCHS=25 # number of training iterations
VALIDATION_SPLIT=0.2 # percentage of the validation data while training
VERBOSE=1 # show progress in console
APLHABET = r"01" # key's alphabet
APLHABET_LEN = len(APLHABET)
MODUL = 1/(APLHABET_LEN - 1)
KEY_l = [1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 0, 0, 0,\
1, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 0, 1, 0, 0,\
0, 0, 1, 0, 0, 0, 1, 1, 0, 0, 1, 1, 1, 0, 0, 0, 0, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 1, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 1,\
1, 0, 0, 1, 1, 0, 1, 1, 0, 1, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 0, 0, 1, 1, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 0, 1, 0, 1, 1,\
1, 1, 1, 0, 0, 1, 0, 1, 0, 1, 0, 1, 1, 0, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 0, 0, 1, 0, 0, 1, 1, 0, 0, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1, 0, 0, 0,\
1, 0, 1, 1, 0, 1, 0, 0, 0, 0, 0, 0, 1
] # key for our's imagesIf you haven't got trained model. You can do it with learning.py module:
python learning.py
When you got your model you can use it with authenticate.py module:
python authenticate.py