From a98be02f005a52f6354f9f5ef1f66d6d996c1e70 Mon Sep 17 00:00:00 2001 From: Gangwei Xu Date: Sun, 12 Mar 2023 22:10:49 +0800 Subject: [PATCH] Update README.md --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 72e4a37..24d910d 100644 --- a/README.md +++ b/README.md @@ -7,6 +7,15 @@ Gangwei Xu, Xianqi Wang, Xiaohuan Ding, Xin Yang
+## Demos +Pretrained models can be downloaded from [google drive](https://drive.google.com/drive/folders/1SsMHRyN7808jDViMN1sKz1Nx-71JxUuz?usp=share_link) + +You can demo a trained model on pairs of images. To predict stereo for Middlebury, run +``` +python demo.py --restore_ckpt ./pretrained_models/sceneflow/sceneflow.pth +``` + + ## Environment * NVIDIA RTX 3090 * Python 3.8 @@ -30,15 +39,6 @@ pip install tqdm pip install timm==0.5.4 ``` -## Demos -Pretrained models can be downloaded from [google drive](https://drive.google.com/drive/folders/1SsMHRyN7808jDViMN1sKz1Nx-71JxUuz?usp=share_link) - -You can demo a trained model on pairs of images. To predict stereo for Middlebury, run -``` -python demo.py --restore_ckpt ./pretrained_models/sceneflow/sceneflow.pth -``` - - ## Required Data To evaluate/train IGEV-Stereo, you will need to download the required datasets. * [Scene Flow](https://lmb.informatik.uni-freiburg.de/resources/datasets/SceneFlowDatasets.en.html)