#!/usr/bin/env python3
# -*- coding:utf-8 -*-

from .loss import build_criterion
from .yolov1 import YOLOv1


# build object detector
def build_yolov1(args, cfg, device, num_classes=80, trainable=False):
    print('==============================')
    print('Build {} ...'.format(args.model.upper()))
    
    print('==============================')
    print('Model Configuration: \n', cfg)
    
    model = YOLOv1(
        device=device,
        img_size=args.img_size,
        num_classes=num_classes,
        conf_thresh=args.conf_thresh,
        nms_thresh=args.nms_thresh,
        trainable=trainable
        )

    criterion = None
    if trainable:
        # build criterion for training
        criterion = build_criterion(cfg, device, num_classes)

    return model, criterion