test.py

import time
import os
from options.test_options import TestOptions
from data.data_loader import CreateDataLoader
from util.visualizer import Visualizer
from util import html

def main():
    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

    data_loader = CreateDataLoader(opt)
    dataset = data_loader.load_data()

    # read pix2pix/PAN model
    if opt.model == 'pix2pix':
        assert(opt.dataset_mode == 'aligned')
        from models.pix2pix_model import Pix2PixModel
        model = Pix2PixModel()
        model.initialize(opt)
    elif opt.model == 'pan':
        from models.pan_model import PanModel
        model = PanModel()
        model.initialize(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
    for i, data in enumerate(dataset):
        if i >= opt.how_many: # default 50 images
            break
        model.set_input(data)
        model.test()
        visuals = model.get_current_visuals()
        img_path = model.get_image_paths()
        print('process image... %s' % img_path)
        visualizer.save_images(webpage, visuals, img_path)

    webpage.save()

if __name__ == '__main__':
    main()