INNER CODE UNIT · Python
load_fer2013
otaha178/Emotion-recognition · load_and_process.py:9
def load_fer2013():
data = pd.read_csv(dataset_path)
pixels = data['pixels'].tolist()
width, height = 48, 48
faces = []
for pixel_sequence in pixels:
face = [int(pixel) for pixel in pixel_sequence.split(' ')]
face = np.asarray(face).reshape(width, height)
face = cv2.resize(face.astype('uint8'),image_size)
faces.append(face.astype('float32'))
faces = np.asarray(faces)
faces = np.expand_dims(faces, -1)
emotions = pd.get_dummies(data['emotion']).as_matrix()
return faces, emotions
def preprocess_input(x, v2=True):
x = x.astype('float32')
x = x / 255.0