test.py

import time
import os
from options.test_options import TestOptions
from data.data_loader import CreateDataLoader
from models import create_model
from util.visualizer import Visualizer
from pdb import set_trace as st
from util import html
from util.metrics import PSNR
from util.metrics import SSIM
from PIL import Image

opt = TestOptions().parse()
opt.nThreads = 1  # test code only supports nThreads = 1
opt.batchSize = 1  # test code only supports batchSize = 1
opt.serial_batches = True  # no shuffle
opt.no_flip = True  # no flip
opt.phase = 'train'

data_loader = CreateDataLoader(opt)
dataset = data_loader.load_data()
model = create_model(opt)
visualizer = Visualizer(opt)
# create website
web_dir = os.path.join(opt.results_dir, opt.name,
                       '%s_%s' % (opt.phase, opt.which_epoch))
webpage = html.HTML(
    web_dir, 'Experiment = %s, Phase = %s, Epoch = %s' % (opt.name, opt.phase,
                                                          opt.which_epoch))
# test
avgPSNR = 0.0
avgPSNR_b = 0.0
#avgSSIM = 0.0
#avgSSIM_b = 0.0
counter = 0

for i, data in enumerate(dataset):
    if i >= opt.how_many:
        break
    counter = i
    model.set_input(data)
    model.test()
    visuals = model.get_current_visuals()
    visualizer.display_current_results(visuals, counter)
    # PSNR_b = PSNR(visuals['syn_haze_img'], visuals['clear_img'])
    # PSNR_d = PSNR(visuals['s_dehazing_img'], visuals['clear_img'])
    # avgPSNR += PSNR_d
    # avgPSNR_b += PSNR_b
    #pilReala = Image.fromarray(visuals['real_A'])
    #pilFake = Image.fromarray(visuals['fake_B'])
    #pilReal = Image.fromarray(visuals['real_B'])
    #SSIM_b = SSIM(pilReala,pilReal)
    #SSIM_b = SSIM(pilReala).cw_ssim_value(pilReal)
    #SSIM_d = SSIM(pilFake).cw_ssim_value(pilReal)
    #avgSSIM += SSIM_d
    #avgSSIM_b += SSIM_b
    img_path = model.get_image_paths()
    # print('process image... %s ... Deblurred PSNR ... %f' % (img_path, PSNR_d))
    # print('process image... %s ... Blurred PSNR ... %f ... Deblurred PSNR ... %f'
    #     % (img_path, PSNR_b, PSNR_d))
    #print('process image... %s ... Blurred SSIM ... %f ... Deblurred SSIM ... %f' % (img_path, SSIM_b, SSIM_d))
    # visualizer.save_images(webpage, visuals, img_path)

# avgPSNR /= counter
# avgPSNR_b /= counter
#avgSSIM /= counter
#avgSSIM_b /= counter
# print('Blurred PSNR = %f, Deblurred PSNR = %f' % (avgPSNR_b, avgPSNR))
#print('PSNR = %f, SSIM = %f' %
#				  (avgPSNR, avgSSIM))

# webpage.save()