update rec_r31_sar.yml and sar docs

Evezerest · Aug 31, 2021 · d43688a · d43688a
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diff --git a/configs/rec/rec_r31_sar.yml b/configs/rec/rec_r31_sar.yml
@@ -56,7 +56,7 @@ Train:
  dataset:
  name: SimpleDataSet
  delimiter: ' '
- label_file_list: ['/paddle/data/concat_data/icdar_2013_train20.txt', '/paddle/data/concat_data/icdar_2015_train20.txt', '/paddle/data/concat_data/coco_text_train20.txt', '/paddle/data/concat_data/IIIt5k_train20.txt', '/paddle/data/concat_data/SynthAdd_train.txt', '/paddle/data/concat_data/SynthText_train.txt', '/paddle/data/concat_data/Syn90k_train.txt']
+ label_file_list: ['/paddle/data/concat_data/train_list.txt']
  data_dir: /paddle/data/concat_data/
  ratio_list: 1.0
  transforms:
@@ -71,7 +71,7 @@ Train:
  keep_keys: ['image', 'label', 'valid_ratio'] # dataloader will return list in this order
  loader:
  shuffle: True
- batch_size_per_card: 64 # 32
+ batch_size_per_card: 64
  drop_last: True
  num_workers: 8
  use_shared_memory: False

diff --git a/doc/doc_ch/recognition.md b/doc/doc_ch/recognition.md
@@ -90,6 +90,8 @@ train_data/rec/train/word_002.jpg 用科技让复杂的世界更简单
 
 如果希望复现SRN的论文指标，需要下载离线[增广数据](https://pan.baidu.com/s/1-HSZ-ZVdqBF2HaBZ5pRAKA),提取码: y3ry。增广数据是由MJSynth和SynthText做旋转和扰动得到的。数据下载完成后请解压到 {your_path}/PaddleOCR/train_data/data_lmdb_release/training/ 路径下。
 
+如果希望复现SAR的论文指标，需要下载[SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg), 提取码：627x。此外，真实数据集icdar2013, icdar2015, cocotext, IIIT5也作为训练数据的一部分。具体数据细节可以参考论文SAR。
+
 ```
 # 训练集标签
 wget -P ./train_data/ic15_data https://paddleocr.bj.bcebos.com/dataset/rec_gt_train.txt

diff --git a/doc/doc_en/recognition_en.md b/doc/doc_en/recognition_en.md
@@ -90,6 +90,8 @@ If you do not have a dataset locally, you can download it on the official websit
 
 If you want to reproduce the paper indicators of SRN, you need to download offline [augmented data](https://pan.baidu.com/s/1-HSZ-ZVdqBF2HaBZ5pRAKA), extraction code: y3ry. The augmented data is obtained by rotation and perturbation of mjsynth and synthtext. Please unzip the data to {your_path}/PaddleOCR/train_data/data_lmdb_Release/training/path.
 
+If you want to reproduce the paper SAR, you need to download extra dataset [SynthAdd](https://pan.baidu.com/share/init?surl=uV0LtoNmcxbO-0YA7Ch4dg), extraction code: 627x. Besides, icdar2013, icdar2015, cocotext, IIIT5k datasets are also used to train. For specific details, please refer to the paper SAR.
+
 PaddleOCR provides label files for training the icdar2015 dataset, which can be downloaded in the following ways:
 
 ```