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import argparse
import ast
import pprint

import mxnet as mx
from mxnet.module import Module

from symdata.bbox import im_detect
from symdata.loader import load_test, generate_batch
from symdata.vis import vis_detection
from symnet.model import load_param, check_shape


def demo_net(sym, class_names, args):
    # print config
    print('called with args\n{}'.format(pprint.pformat(vars(args))))

    # setup context
    if args.gpu:
        ctx = mx.gpu(int(args.gpu))
    else:
        ctx = mx.cpu(0)

    # load single test
    im_tensor, im_info, im_orig = load_test(args.image, short=args.img_short_side, max_size=args.img_long_side,
                                            mean=args.img_pixel_means, std=args.img_pixel_stds)

    # generate data batch
    data_batch = generate_batch(im_tensor, im_info)

    # load params
    arg_params, aux_params = load_param(args.params, ctx=ctx)