From 801910678ade6618eb059aec77aa2ab16115d3e8 Mon Sep 17 00:00:00 2001 From: Lihe Yang Date: Thu, 25 Jan 2024 21:22:16 +0800 Subject: [PATCH] Update README.md --- metric_depth/README.md | 9 +++++---- 1 file changed, 5 insertions(+), 4 deletions(-) diff --git a/metric_depth/README.md b/metric_depth/README.md index 709453e..60dbb31 100644 --- a/metric_depth/README.md +++ b/metric_depth/README.md @@ -38,10 +38,9 @@ Outdoor: KITTI $\rightarrow$ Virtual KITTI 2 and DIODE Outdoor -## Pre-trained models - -We provide two pre-trained models ([download](https://huggingface.co/spaces/LiheYoung/Depth-Anything/tree/main/checkpoints_metric_depth)), one for *indoor* metric depth estimation trained on NYUv2, and the other for *outdoor* metric depth estimation trained on KITTI. +## Pre-trained metric depth estimation models +We provide [two pre-trained models](https://huggingface.co/spaces/LiheYoung/Depth-Anything/tree/main/checkpoints_metric_depth), one for *indoor* metric depth estimation trained on NYUv2, and the other for *outdoor* metric depth estimation trained on KITTI. ## Installation @@ -68,6 +67,8 @@ python evaluate.py -m zoedepth --pretrained_resource="local::./checkpoints/depth ## Training +Please first download our Depth Anything pre-trained models [here](https://huggingface.co/spaces/LiheYoung/Depth-Anything/blob/main/checkpoints/depth_anything_vitl14.pth), and put it under the ``checkpoints`` directory. + ```bash python train_mono.py -m zoedepth -d --pretrained_resource="" ``` @@ -85,4 +86,4 @@ If you find this project useful, please consider citing: journal={arXiv:2401.10891}, year={2024}, } -``` \ No newline at end of file +```