process_images_walk_filetree.py

def process_image(path):
    img = Image.open(path)
    img = img.resize((224, 224))
    img = np.array(img)
    return img

def process_data(X_data, y_data):
    X_data = np.array(X_data, dtype = 'float32')
    if rgb:
        pass
    else:
        X_data = np.stack((X_data,)*3, axis=-1)
    X_data /= 255
    y_data = np.array(y_data)
    y_data = to_categorical(y_data)
    return X_data, y_data

def walk_file_tree(relative_path):
    X_data = []
    y_data = [] 
    for directory, subdirectories, files in os.walk(relative_path):
        for file in files:
            if not file.startswith('.') and (not file.startswith('C_')):
                path = os.path.join(directory, file)
                gesture_name = gestures[file[0:2]]
                y_data.append(gestures_map[gesture_name])
                X_data.append(process_image(path))
            else:
                continue

    X_data, y_data = process_data(X_data, y_data)
    return X_data, y_data