What is this Yolo class for? How can I access this codes? What is the alternative way for replacing these codes?

class Yolo():
    '''
    Packed yolo Netwrok from cv2
    '''
    def __init__(self):
        # get model configuration and weight
        model_configuration = 'yolov3.cfg'
        model_weight = 'yolov3.weights'

        # define classes
        self.classes = None
        class_file = 'coco.names'
        with open(class_file, 'rt') as file:
            self.classes = file.read().rstrip('n').split('n')

        net = cv2.dnn.readNetFromDarknet(
            model_configuration, model_weight)
        net.setPreferableBackend(cv2.dnn.DNN_BACKEND_OPENCV)
        net.setPreferableTarget(cv2.dnn.DNN_TARGET_CPU)
        self.yolo = net

        self.cf_th = CF_THRESHOLD
        self.nms_th = NMS_THRESHOLD
        self.resolution = INPUT_RESOLUTION
        print('Model Initialization Done!')

    def detect(self, frame):
        '''
        The yolo function which is provided by opencv

        Args:
            frames(np.array): input picture for object detection

        Returns:
            ret(np.array): all possible boxes with dim = (N, classes+5)
        '''
        blob = cv2.dnn.blobFromImage(np.float32(frame), 1/255, self.resolution,
                                     [0, 0, 0], 1, crop=False)

        self.yolo.setInput(blob)
        layers_names = self.yolo.getLayerNames()
        output_layer =
            [layers_names[i[0] - 1] for i in self.yolo.getUnconnectedOutLayers()]
        outputs = self.yolo.forward(output_layer)

        ret = np.zeros((1, len(self.classes)+5))
        for out in outputs:
            ret = np.concatenate((ret, out), axis=0)
        return ret

    def draw_bbox(self, frame, class_id, conf, left, top, right, bottom):
        '''
        Drew a Bounding Box

        Args:
            frame(np.array): the base image for painting box on
            class_id(int)  : id of the object
            conf(float)    : confidential score for the object
            left(int)      : the left pixel for the box
            top(int)       : the top pixel for the box
            right(int)     : the right pixel for the box
            bottom(int)    : the bottom pixel for the box

        Return:
            frame(np.array): the image with bounding box on it
        '''
        # Draw a bounding box.
        cv2.rectangle(frame, (left, top), (right, bottom), (255, 178, 50), 3)

        label = '%.2f' % conf

        # Get the label for the class name and its confidence
        if self.classes:
            assert(class_id < len(self.classes))
            label = '%s:%s' % (self.classes[class_id], label)

        #Display the label at the top of the bounding box
        label_size, base_line = cv2.getTextSize(label, cv2.FONT_HERSHEY_SIMPLEX, 2, 1)
        top = max(top, label_size[1])
        cv2.rectangle(frame,
                      (left, top - round(1.5*label_size[1])),
                      (left + round(label_size[0]), top + base_line),
                      (255, 255, 255), cv2.FILLED)
        cv2.putText(frame, label, (left, top), cv2.FONT_HERSHEY_SIMPLEX, 2, (0, 0, 0), 2)
        return frame

What is this Yolo class for? How can I access this codes? What is the alternative way for replacing these codes?
How can I access this codes? What is the alternative way for replacing these codes?