From 3543ccf2e486e31cc4a9c5c02c828f6cdbbd1c02 Mon Sep 17 00:00:00 2001
From: Yuwen Heng <15895948+123mutourener@users.noreply.github.com>
Date: Mon, 6 Jun 2022 12:04:07 +0800
Subject: [PATCH] Update README.md

---
 README.md | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 70c7748..f83a0b5 100644
--- a/README.md
+++ b/README.md
@@ -15,10 +15,16 @@ docker pull 123mutouren/cv:1.0.0
 ## Local Material Dataset
 Please download the original dataset from https://vision.ist.i.kyoto-u.ac.jp/codeanddata/localmatdb/, into the folder datasets/localmatdb. Then you can zip the folder localmatdb since our dataloader assumes the images are zipped.
 
+## Pre-trained DBAT checkpoint
+Please download the pre-trained checkpoints[url:https://drive.google.com/file/d/1DCyF1FUJPlEm0Mb5QTz2afnlbzYmPhMY/view?usp=sharing] into the folder "checkpoints"
+```
+mkdir -p checkpoints/dpglt_mode95/accuracy
+```
+
+
 ## Train DBAT
 To train our DBAT, you can use the code below:
 ```
-mkdir checkpoints
 python train_sota.py --data-root "./datasets" --batch-size 4 --tag dpglt --gpus 1 --num-nodes 1 --epochs 200 --mode 95 --seed 42
 ```
 To test the trained model, you can specify the checkpoint path with the --test option
-- 
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