Update README.md

README.md

@@ -37,7 +37,7 @@ DocTr consists of two main components: a geometric unwarping transformer (GeoTr)
 - ***Important.*** In the [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html), the '64_1.png' and '64_2.png' distorted images are rotated by 180 degrees, which do not match the GT documents. It is ingored by most of existing works. Before the evaluation, please make a check.
 - Note that the performances in our MM paper are computed with the two ***mistaken*** samples in [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html). For reproducing the following quantitative performance on the ***corrected*** [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html), please use the geometric rectified images available from [Google Drive](https://drive.google.com/drive/folders/1kJ34Nk18RVPwYK8mdfcQvU_67whD9tMe?usp=sharing) or [Baidu Cloud](https://pan.baidu.com/s/1Cq9bfyAJ9MWwxj0CarqmKw?pwd=jmy1). For the corrected performance of [other methods](https://github.com/fh2019ustc/Awesome-Document-Image-Rectification), please refer to our new work [DocScanner](https://arxiv.org/pdf/2110.14968v2.pdf).
 - ***Image Metrics:***  We use the same evaluation code for MS-SSIM and LD as [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html) dataset based on Matlab 2019a. Please compare the scores according to your Matlab version. We provide our Matlab interface file at ```$ROOT/ssim_ld_eval.m```.
-- ***OCR Metrics:*** The index of 30 document (60 images) of [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html) used for our OCR evaluation is ```$ROOT/ocr_img.txt``` (*Setting 1*). Please refer to [DewarpNet](https://github.com/cvlab-stonybrook/DewarpNet) for the index of 25 document (50 images) of [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html) used for their OCR evaluation (*Setting 2*). We provide the OCR evaluation code at ```$ROOT/OCR_eval.py```. The version of pytesseract is 0.3.8, and the version of Tesseract is recent 5.0.1.20220118. 
+- ***OCR Metrics:*** The index of 30 document (60 images) of [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html) used for our OCR evaluation is ```$ROOT/ocr_img.txt``` (*Setting 1*). Please refer to [DewarpNet](https://github.com/cvlab-stonybrook/DewarpNet) for the index of 25 document (50 images) of [DocUNet Benchmark](https://www3.cs.stonybrook.edu/~cvl/docunet.html) used for their OCR evaluation (*Setting 2*). We provide the OCR evaluation code at ```$ROOT/OCR_eval.py```. The version of pytesseract is 0.3.8, and the version of [Tesseract](https://digi.bib.uni-mannheim.de/tesseract/) is recent 5.0.1.20220118. 
 
 |      Method      |    MS-SSIM   |      LD     |     ED (Setting 1)    |       CER      |      ED (Setting 2)   |      CER     | 
 |:----------------:|:------------:|:--------------:| :-------:|:--------------:|:-------:|:--------------:|