part2_feature_extraction.py

def get_hog_features(image, visualize=False):
    features = hog(
        image,
        orientations=9,
        pixels_per_cell=(8, 8),
        cells_per_block=(2, 2),
        visualize=visualize,
        feature_vector=True,
        block_norm='L1'
    )

    return features


def get_features(images):
    if type(images) is not list:
        images = [images]

    all_features = []
    for image in images:
        features = get_hog_features(image)
        all_features.append(features)

    return all_features
  
  
people_features = get_features(people)
not_people_features = get_features(not_people)