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Watchme AI-Pupil-Tracker

model

Scripts

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

Example

categories

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

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