text: import os
  import torch as t
  import torch.nn as nn
  from utils.config import opt
  from model import FasterRCNNVGG16
  from trainer import FasterRCNNTrainer
  from data.util import read_image
  from utils.vis_tool import vis_bbox
  from utils import array_tool as at
  from utils.average import AverageVal
  import matplotlib.pyplot as plt
  
  img = read_image("misc/demo.jpg")
  img = t.from_numpy(img)[None]
  
  logger = AverageVal()
  faster_rcnn = FasterRCNNVGG16()
  
  trainer = FasterRCNNTrainer(faster_rcnn, logger).cuda()
  
  trainer.load("model/chainer_best_model_converted_to_pytorch_0.7053.pth")
  opt.caffe_pretrain = True  # this model was trained from caffe-pretrained model
  
  print(img.shape)
  
  h = trainer.faster_rcnn.getFeatureMap(img)
  print(h)
  