From c95e95774af6473f6866237b3e6f16f0d7ad225e Mon Sep 17 00:00:00 2001 From: sniklaus Date: Mon, 27 Nov 2017 10:43:57 -0800 Subject: no message --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) (limited to 'README.md') diff --git a/README.md b/README.md index 92bba80..c15b0b4 100644 --- a/README.md +++ b/README.md @@ -11,7 +11,7 @@ For a third-party fork with video support, consider: https://github.com/dagf2101 To build the implementation and download the pre-trained networks, run `bash install.bash` and make sure that you configured the `CUDA_HOME` environment variable. After successfully completing this step, run `python run.py` to test it. Should you receive an error message regarding an invalid device function during execution, configure the utilized CUDA architecture within `install.bash` to something your graphics card supports. ## usage -To run it on your own pair of frames, use the following command. You can either select the `l1` or the `lf` model, please see our paper for more details. +To run it on your own pair of frames, use the following command. You can either select the `l1` or the `lf` model, please see our paper for more details. In short, the `l1` model should be used for quantitative evaluations and the `lf` model for qualitative comparisons. ``` python run.py --model lf --first ./images/first.png --second ./images/second.png --out ./result.png -- cgit v1.2.3-70-g09d2