From 07f7da1603da6c5f4d2b77bbeeca97e5d9ee2109 Mon Sep 17 00:00:00 2001 From: Nataniel Ruiz Date: Mon, 30 Dec 2019 15:44:50 -0400 Subject: [PATCH] next --- pix2pixHD_attack/test.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pix2pixHD_attack/test.py b/pix2pixHD_attack/test.py index a0abc54..e9a0c07 100755 --- a/pix2pixHD_attack/test.py +++ b/pix2pixHD_attack/test.py @@ -58,15 +58,15 @@ for i, data in enumerate(dataset): minibatch = 1 # Transfer - if i == 0: - adv_image, perturb = model.attack(data['label'], data['inst'], data['image']) + # if i == 0: + # adv_image, perturb = model.attack(data['label'], data['inst'], data['image']) if opt.engine: generated = run_trt_engine(opt.engine, minibatch, [data['label'], data['inst']]) elif opt.onnx: generated = run_onnx(opt.onnx, opt.data_type, minibatch, [data['label'], data['inst']]) else: generated_noattack = model.inference(data['label'], data['inst'], data['image']) - # adv_image, perturb = model.attack(data['label'], data['inst'], data['image']) + adv_image, perturb = model.attack(data['label'], data['inst'], data['image']) generated, adv_img = model.inference_attack(data['label'], data['inst'], data['image'], perturb) visuals = OrderedDict([('original_label', util.tensor2label(data['label'][0], opt.label_nc)),