Generate pupil dataset from video camera
Arrange dataset files automatically to Keras dataset format for classification
Contains methods for data preprocessing
Builds, trains, and saves the model
from preprocessor import apply_threshold
import numpy as np
from keras.models import load_model
from keras.preprocessing import image
model = load_model('./model.h5')
img = image.load_img(img_path, target_size=(64, 64))
img = np.expand_dims(image.img_to_array(img), axis=0)
result = model.predict_classes(img)
print(['bottom_left', 'bottom_right', 'normal', 'top_left', 'top_right'][result[0]])이걸 좀 고치고 result 가지고 watchme-closed-eye-detection 얘랑 합쳐서 사용자 눈 감김 여부와 함께 포지션을 parent process로 보내주면 될 것임