From e666b667c8f9cb0cdc4f56648ac451aa58fbd54c Mon Sep 17 00:00:00 2001 From: Shawn Shan Date: Wed, 22 Jul 2020 20:32:44 -0500 Subject: [PATCH] Update README.md --- evaluation/README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/evaluation/README.md b/evaluation/README.md index a85612e..a83ad42 100644 --- a/evaluation/README.md +++ b/evaluation/README.md @@ -10,7 +10,7 @@ Evaluation with Local Model To evaluate using local model, you are highly recommended to have a GPU device and train the model on it. Otherwise, the evaluation will be extremely slow and might even damage the CPUs on some machine. To evaluate, run `python3 eval_local.py -d IMAGE_DIR`. Where `IMAGE_DIR` is the image directory send to Fawkes protection code, and it must contain both original images (testing) and cloaked image (training). -All images in the directory must belong to the same person and have at least 10 images in them. Also, you cannot turn on `--seperate-target` during the protection. (We are working on reducing some of these limitations.) +All images in the directory must belong to the same person and have at least 10 images in them. Also, you cannot turn on `--separate-target` during the protection. (We are working on reducing some of these limitations.) The script will output the protection success rate at the end.