HYTOS

        return [self.class_info, self.start_h, self.start_w, self.end_h - self.start_h, self.end_w - self.start_w, self.iou]

def get_symbol(imgs, name=None, root_path=None, trained_model1=None, trained_model2=None):

    parser = argparse.ArgumentParser("You Only Look Once: Unified, Real-Time Object Detection")

    parser.add_argument("--image_size", type=int, default=448, help="The common width and height for all images")

def detection_object(patchs, model, save_root, opc, opt):

    symbol_list = []

    for idx in range(len(patchs)):

        pil_image = patchs[idx]

def merge_fn(total_img, total_symbole_list, save_root):

    """ total_img:path -> img file """

    print("=========> MERGE RESULT")

    if type(total_img) is str:

    temp_king_img = temp_king_img[:,:,::-1].copy()

    count_result = [0 for item in DOFTECH_CLASSES]

    for idx_out in range(len(total_symbole_list)):

        for idx in range(len(total_symbole_list[idx_out])):

            color = colors[DOFTECH_CLASSES.index(total_symbole_list[idx_out][idx].class_info)]