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import os | |
from options.test_options import TestOptions | |
from data import CreateDataLoader | |
from models import create_model | |
from util.visualizer import save_images | |
from util import html | |
if __name__ == '__main__': | |
opt = TestOptions().parse() | |
opt.num_threads = 1 # test code only supports num_threads = 1 | |
opt.batch_size = 1 # test code only supports batch_size = 1 | |
opt.serial_batches = True # no shuffle | |
opt.no_flip = True # no flip | |
opt.display_id = -1 # no visdom display | |
data_loader = CreateDataLoader(opt) | |
dataset = data_loader.load_data() | |
model = create_model(opt) | |
model.setup(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)) | |
webpage = html.HTML(web_dir, 'Experiment = %s, Phase = %s, Epoch = %s' % (opt.name, opt.phase, opt.which_epoch),reflesh=0, folder=opt.imagefolder) | |
if opt.test_continuity_loss: | |
file_name = os.path.join(opt.results_dir, opt.name, '%s_%s' % (opt.phase, opt.which_epoch), 'continuity.txt') | |
file_name1 = os.path.join(opt.results_dir, opt.name, '%s_%s' % (opt.phase, opt.which_epoch), 'continuity-r.txt') | |
if os.path.exists(file_name): | |
os.remove(file_name) | |
if os.path.exists(file_name1): | |
os.remove(file_name1) | |
# test | |
#model.eval() | |
for i, data in enumerate(dataset): | |
if i >= opt.how_many:#test code only supports batch_size = 1, how_many means how many test images to run | |
break | |
model.set_input(data) | |
model.test() | |
visuals = model.get_current_visuals()#in test the loadSize is set to the same as fineSize | |
img_path = model.get_image_paths() | |
#if i % 5 == 0: | |
# print('processing (%04d)-th image... %s' % (i, img_path)) | |
save_images(webpage, visuals, img_path, aspect_ratio=opt.aspect_ratio, width=opt.display_winsize) | |
webpage.save() | |
if opt.model == 'regressor': | |
print(model.cnt) | |
print(model.value/model.cnt) | |
print(model.minval) | |
print(model.avg/model.cnt) | |
print(model.max) | |
html = os.path.join(web_dir,'cindex'+opt.imagefolder[6:]+'.html') | |
f=open(html,'w') | |
print('<table border="1" style=\"text-align:center;\">',file=f,end='') | |
print('<tr>',file=f,end='') | |
print('<td>image name</td>',file=f,end='') | |
print('<td>realA</td>',file=f,end='') | |
print('<td>realB</td>',file=f,end='') | |
print('<td>fakeB</td>',file=f,end='') | |
print('</tr>',file=f,end='') | |
for info in model.info: | |
basen = os.path.basename(info[0])[:-4] | |
print('<tr>',file=f,end='') | |
print('<td>%s</td>'%basen,file=f,end='') | |
print('<td><img src=\"%s/%s_real_A.png\" style=\"width:44px\"></td>'%(opt.imagefolder,basen),file=f,end='') | |
print('<td>%.4f</td>'%info[1],file=f,end='') | |
print('<td>%.4f</td>'%info[2],file=f,end='') | |
print('</tr>',file=f,end='') | |
print('</table>',file=f,end='') | |
f.close() | |