test.py

import os
from options.test_options import TestOptions
from data import CreateDataLoader
from models import create_model
from util.visualizer import Visualizer
from util import html


if __name__ == '__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()
    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
    for i, data in enumerate(dataset):
        if i >= opt.how_many:
            break
        model.set_input(data)
        model.test()
        
        if opt.dataset_mode=='aligned_mat':
            visuals=model.get_current_visuals()
            #visuals['real_A']=visuals['real_A'][:,:,0:3]
            #visuals['real_B']=visuals['real_B'][:,:,0:3]
            #visuals['fake_B']=visuals['fake_B'][:,:,0:3]    
            img_path = model.get_image_paths()
            img_path[0]=img_path[0]+str(i)
        elif  opt.dataset_mode=='unaligned_mat':   
            visuals=model.get_current_visuals()
            slice_select=[opt.input_nc/2,opt.input_nc/2,opt.input_nc/2]
            visuals['real_A']=visuals['real_A'][:,:,slice_select]
            visuals['real_B']=visuals['real_B'][:,:,slice_select]
            visuals['fake_A']=visuals['fake_A'][:,:,slice_select]
            visuals['fake_B']=visuals['fake_B'][:,:,slice_select]
            visuals['rec_A']=visuals['rec_A'][:,:,slice_select]
            visuals['rec_B']=visuals['rec_B'][:,:,slice_select]
            #temp_visuals['idt_A']=temp_visuals['idt_A'][:,:,slice_select]
            #temp_visuals['idt_B']=temp_visuals['idt_B'][:,:,slice_select]                    
            img_path = model.get_image_paths()
            img_path[0]=img_path[0]+str(i)            
        else:
            visuals = model.get_current_visuals()
            img_path = model.get_image_paths()
        print('%04d: process image... %s' % (i, img_path))
        visualizer.save_images(webpage, visuals, img_path, aspect_ratio=opt.aspect_ratio)

    webpage.save()