CentOSの仮想環境でmatplotlibが表示されないguest: centos7 host: windows10

windows 10
centos 7
python 3.6.5
VScode

この記事を参考に
OpenPoseに挑戦しているのですが、matplotibでの表示がされないです。

backend でAggをTkAggへの変更は試しました。

WindowsでCentOS7の仮想環境を作成しました。

[vagrant@localhost tf-pose-estimation]$ python3 run.py
--model=mobilenet_thin --resize=432x368 --image=images/p2.jpg

import argparse
import logging
import sys
import time

from tf_pose import common
import cv2
import numpy as np
from tf_pose.estimator import TfPoseEstimator
from tf_pose.networks import get_graph_path, model_wh

logger = logging.getLogger('TfPoseEstimatorRun')
logger.handlers.clear()
logger.setLevel(logging.DEBUG)
ch = logging.StreamHandler()
ch.setLevel(logging.DEBUG)
formatter = logging.Formatter('[%(asctime)s] [%(name)s] [%(levelname)s] %(message)s')
ch.setFormatter(formatter)
logger.addHandler(ch)

if name == 'main':
parser = argparse.ArgumentParser(description='tf-pose-estimation run')
parser.add_argument('--image', type=str, default='./images/p1.jpg')
parser.add_argument('--model', type=str, default='cmu',
help='cmu / mobilenet_thin / mobilenet_v2_large / mobilenet_v2_small')
parser.add_argument('--resize', type=str, default='0x0',
help='if provided, resize images before they are processed. '
'default=0x0, Recommends : 432x368 or 656x368 or 1312x736 ')
parser.add_argument('--resize-out-ratio', type=float, default=4.0,
help='if provided, resize heatmaps before they are post-processed. default=1.0')

args = parser.parse_args()

w, h = model_wh(args.resize)
if w == 0 or h == 0:
    e = TfPoseEstimator(get_graph_path(args.model), target_size=(432, 368))
else:
    e = TfPoseEstimator(get_graph_path(args.model), target_size=(w, h))


image = common.read_imgfile(args.image, None, None)
if image is None:
    logger.error('Image can not be read, path=%s' % args.image)
    sys.exit(-1)

t = time.time()
humans = e.inference(image, resize_to_default=(w > 0 and h > 0), upsample_size=args.resize_out_ratio)
elapsed = time.time() - t

logger.info('inference image: %s in %.4f seconds.' % (args.image, elapsed))

image = TfPoseEstimator.draw_humans(image, humans, imgcopy=False)

try:
    import matplotlib
    import matplotlib.pyplot as plt

    fig = plt.figure()
    a = fig.add_subplot(2, 2, 1)
    a.set_title('Result')
    plt.imshow(cv2.cvtColor(image, cv2.COLOR_BGR2RGB))

    bgimg = cv2.cvtColor(image.astype(np.uint8), cv2.COLOR_BGR2RGB)
    bgimg = cv2.resize(bgimg, (e.heatMat.shape[1], e.heatMat.shape[0]), interpolation=cv2.INTER_AREA)

    a = fig.add_subplot(2, 2, 2)
    plt.imshow(bgimg, alpha=0.5)
    tmp = np.amax(e.heatMat[:, :, :-1], axis=2)
    plt.imshow(tmp, cmap=plt.cm.gray, alpha=0.5)
    plt.colorbar()

    tmp2 = e.pafMat.transpose((2, 0, 1))
    tmp2_odd = np.amax(np.absolute(tmp2[::2, :, :]), axis=0)
    tmp2_even = np.amax(np.absolute(tmp2[1::2, :, :]), axis=0)

    a = fig.add_subplot(2, 2, 3)
    a.set_title('Vectormap-x')

    plt.imshow(tmp2_odd, cmap=plt.cm.gray, alpha=0.5)
    plt.colorbar()

    a = fig.add_subplot(2, 2, 4)
    a.set_title('Vectormap-y')

    plt.imshow(tmp2_even, cmap=plt.cm.gray, alpha=0.5)
    plt.colorbar()
    plt.show()
except Exception as e:
    logger.warning('matplotlib error, %s' % e)
    cv2.imshow('result', image)
    cv2.waitKey()