remove abinet

README.md

@@ -260,7 +260,6 @@ You can do MindSpore Lite inference in MindOCR using **MindOCR models** or **Thi
 - [x] [MASTER](configs/rec/master/README.md) (PR'2019)
 - [x] [VISIONLAN](configs/rec/visionlan/README.md) (ICCV'2021)
 - [x] [RobustScanner](configs/rec/robustscanner/README.md) (ECCV'2020)
-- [x] [ABINet](configs/rec/abinet/README.md) (CVPR'2021)
 
 </details>
 
@@ -382,7 +381,7 @@ Frequently asked questions about configuring environment and mindocr, please ref
     - [PP-OCRv3 DBNet](configs/det/dbnet/db_mobilenetv3_ppocrv3.yaml) for text detection and [PP-OCRv3 SVTR](configs/rec/svtr/svtr_ppocrv3_ch.yaml) for recognition, supporting online inferece and finetuning
 2. Add more benchmark datasets and their results
     - [XFUND](configs/kie/vi_layoutxlm/README_CN.md)
-3. Multiple specifications support for Ascend 910: DBNet ResNet-50, DBNet++ ResNet-50, CRNN VGG7, SVTR-Tiny, FCENet, ABINet
+3. Multiple specifications support for Ascend 910: DBNet ResNet-50, DBNet++ ResNet-50, CRNN VGG7, SVTR-Tiny, FCENet
 - 2023/11/28
 1. Add offline inference support for PP-OCRv4
     - [PP-OCRv4 DBNet](deploy/py_infer/src/configs/det/ppocr/ch_PP-OCRv4_det_cml.yaml) for text detection and [PP-OCRv4 CRNN](deploy/py_infer/src/configs/rec/ppocr/ch_PP-OCRv4_rec_distillation.yaml) for text recognition, supporting offline inferece

README_CN.md

@@ -263,7 +263,6 @@ python tools/infer/text/predict_system.py --image_dir {path_to_img or dir_to_img
 - [x] [MASTER](configs/rec/master/README_CN.md) (PR'2019)
 - [x] [VISIONLAN](configs/rec/visionlan/README_CN.md) (ICCV'2021)
 - [x] [RobustScanner](configs/rec/robustscanner/README_CN.md) (ECCV'2020)
-- [x] [ABINet](configs/rec/abinet/README_CN.md) (CVPR'2021)
 </details>
 
 <details open markdown>
@@ -385,7 +384,7 @@ MindOCR提供了[数据格式转换工具](https://github.com/mindspore-lab/mind
     - 文本检测[PP-OCRv3 DBNet](configs/det/dbnet/db_mobilenetv3_ppocrv3.yaml)和文本识别[PP-OCRv3 SVTR](configs/rec/svtr/svtr_ppocrv3_ch.yaml)，支持在线推理和微调训练
 2. 添加更多基准数据集及其结果
     - [XFUND](configs/kie/vi_layoutxlm/README_CN.md)
-3. 昇腾910硬件多规格支持：DBNet ResNet-50、DBNet++ ResNet-50、CRNN VGG7、SVTR-Tiny、FCENet、ABINet
+3. 昇腾910硬件多规格支持：DBNet ResNet-50、DBNet++ ResNet-50、CRNN VGG7、SVTR-Tiny、FCENet
 - 2023/11/28
 1. 增加支持PP-OCRv4模型离线推理
     - 文本检测 [PP-OCRv4 DBNet](deploy/py_infer/src/configs/det/ppocr/ch_PP-OCRv4_det_cml.yaml)和文本识别 [PP-OCRv4 CRNN](deploy/py_infer/src/configs/rec/ppocr/ch_PP-OCRv4_rec_distillation.yaml)，支持离线推理

docs/en/mkdocs/modelzoo_training.md

@@ -25,7 +25,7 @@
 | visionlan_resnet45| IC03,13,15,IIIT,etc | 192| 4 | 90.61 | 417 | 1840 | O2 | [mindocr_visionlan](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/visionlan) |
 | master_resnet31   | IC03,13,15,IIIT,etc | 512 | 4 | 90.37 | 747 | 2741 | O2 |  [mindocr_master](https://github.com/mindspore-lab/mindocr/tree/main/configs/rec/master)   |
 | robustscanner_resnet31 | IC13,15,IIIT,SVT,etc | 256 | 4 | 87.86 |   825   |   310   | O0  |           [mindocr_robustscanner](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/robustscanner)            |
-| abinet_resnet45   | IC03,13,15,IIIT,etc | 768 | 8 | 91.35 | 718 | 628.11 | O0 |  [mindocr_abinet](https://github.com/mindspore-lab/mindocr/tree/main/configs/rec/abinet)   |
+
 
 ### Text Direction Classification
 

docs/en/tutorials/frequently_asked_questions.md

@@ -9,10 +9,9 @@
  - [Problems related to inference](#q8-problems-related-to-inference)
  - [Training speed of DBNet not as fast as expexted](#q9-training-speed-of-dbnet-not-as-fast-as-expexted)
  - [Error about libgomp-d22c30c5.so.1.0.0](#q10-error-about-libgomp-d22c30c5so100)
- - [Dataset Pipeline Error when training abinet on lmdb dataset](#q11-dataset-pipeline-error-when-training-abinet-on-lmdb-dataset)
- - [Runtime Error when training dbnet on synthtext dataset](#q12-runtime-error-when-training-dbnet-on-synthtext-dataset)
- - [Failed to install seqeval](#q13-failed-to-install-seqeval)
- - [Failed to install lanms](#q14-failed-to-install-lanms)
+ - [Runtime Error when training dbnet on synthtext dataset](#q11-runtime-error-when-training-dbnet-on-synthtext-dataset)
+ - [Failed to install seqeval](#q12-failed-to-install-seqeval)
+ - [Failed to install lanms](#q13-failed-to-install-lanms)
 
 
 ### Q1 Undefined symbol
@@ -748,58 +747,8 @@ You can try the following steps to fix it:
    export LD_PRELOAD=/root/mindocr_env/lib/python3.8/site-packages/scikit_learn.libs/libgomp-d22c30c5.so.1.0.0:$LD_PRELOAD
    ```
 
-### Q11 Dataset Pipeline Error when training abinet on lmdb dataset
-The following error may occur when training abinet on lmdb dataset
-```bash
-mindocr.data.rec_lmdb_dataset WARNING - Error occurred during preprocess.
- Exception thrown from dataset pipeline. Refer to 'Dataset Pipeline Error Message'.
-
-------------------------------------------------------------------
-- Dataset Pipeline Error Message:
-------------------------------------------------------------------
-[ERROR] No cast for the specified DataType was found.
-
-------------------------------------------------------------------
-- C++ Call Stack: (For framework developers)
-------------------------------------------------------------------
-mindspore/ccsrc/minddata/dataset/kernels/py_func_op.cc(143).
-```
-You can try the following steps to fix it:
-
- - find the folder of mindspore package
- - open file: `mindspore/dataset/transforms/transform.py`
- - switch to line 93:
-  ```bash
-  93        if key in EXECUTORS_LIST:
-  94           # get the executor by process id and thread id
-  95            executor = EXECUTORS_LIST[key]
-  96            # remove the old transform which in executor and update the new transform
-  97            executor.UpdateOperation(self.parse())
-  98        else:
-  99            # create a new executor by process id and thread_id
-  100           executor = cde.Execute(self.parse())
-  101           # add the executor the global EXECUTORS_LIST
-  102           EXECUTORS_LIST[key] = executor
-  ```
-
- - replace line 97 with `executor = cde.Execute(self.parse())`, and get
-  ```bash
-  93        if key in EXECUTORS_LIST:
-  94            # get the executor by process id and thread id
-  95            executor = EXECUTORS_LIST[key]
-  96            # remove the old transform which in executor and update the new transform
-  97            executor = cde.Execute(self.parse())
-  98        else:
-  99            # create a new executor by process id and thread_id
-  100           executor = cde.Execute(self.parse())
-  101           # add the executor the global EXECUTORS_LIST
-  102           EXECUTORS_LIST[key] = executor
-  ```
-
-  - save the file, and try to train the model.
-
 
-### Q12 Runtime Error when training dbnet on synthtext dataset
+### Q11 Runtime Error when training dbnet on synthtext dataset
 Runtime Error occur as following when training dbnet on synthtext dataset:
 ```bash
 Traceback (most recent call last):
@@ -811,7 +760,7 @@ RuntimeError: Run task for graph:kernel_graph_1 error! The details reger to 'Asc
 Please update CANN to 7.1 version.
 
 
-### Q13 Failed to install seqeval
+### Q12 Failed to install seqeval
 The following error occur when run `pip install -r requirements.txt`
 ```bash
 Collecting seqeval>=1.2.2 (from -r requirements.txt (line 19))
@@ -889,7 +838,7 @@ Please try the following steps to fix this problem:
  - Install `seqeval`: `pip3 install seqeval -i https://pypi.tuna.tsinghua.edu.cn/simple`
 
 
-### Q14 Failed to install lanms
+### Q13 Failed to install lanms
 The following error occur when installing lanms
 ```bash
 ImportError: Python version mismatch: module was compiled for version 3.8, while the interpreter is running version 3.7.

docs/zh/mkdocs/modelzoo_training.md

@@ -25,7 +25,7 @@
 | visionlan_resnet45| IC03,13,15,IIIT,etc | 192| 4 | 90.61 | 417 | 1840 | O2 | [mindocr_visionlan](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/visionlan) |
 | master_resnet31   | IC03,13,15,IIIT,etc | 512 | 4 | 90.37 | 747 | 2741 | O2 |  [mindocr_master](https://github.com/mindspore-lab/mindocr/tree/main/configs/rec/master)   |
 | robustscanner_resnet31 | IC13,15,IIIT,SVT,etc | 256 | 4 | 87.86 |   825   |   310   | O0  |           [mindocr_robustscanner](https://github.com/mindspore-lab/mindocr/blob/main/configs/rec/robustscanner)            |
-| abinet_resnet45   | IC03,13,15,IIIT,etc | 768 | 8 | 91.35 | 718 | 628.11 | O0 |  [mindocr_abinet](https://github.com/mindspore-lab/mindocr/tree/main/configs/rec/abinet)   |
+
 
 ### 文本方向分类
 

docs/zh/tutorials/frequently_asked_questions.md

@@ -9,10 +9,9 @@
  - [推理相关问题](#q8)
  - [DBNet训练速率不及预期](#q9)
  - [libgomp-d22c30c5.so.1.0.0 相关错误](#q10)
- - [当在lmdb dataset上训练abinet报数据管道错误](#q11)
- - [当在synthtext数据集上训练dbnet报运行时错误](#q12)
- - [安装seqeval相关错误](#q13)
- - [安装lanms相关错误](#q14)
+ - [当在synthtext数据集上训练dbnet报运行时错误](#q11)
+ - [安装seqeval相关错误](#q12)
+ - [安装lanms相关错误](#q13)
 
 ### <span id="q1">Q1 未定义符号</span>
 
@@ -756,57 +755,8 @@ ImportError: /root/mindocr_env/lib/python3.8/site-packages/sklearn/__check_build
    export LD_PRELOAD=/root/mindocr_env/lib/python3.8/site-packages/scikit_learn.libs/libgomp-d22c30c5.so.1.0.0:$LD_PRELOAD
    ```
 
-### <span id="q11">Q11 当在lmdb dataset上训练abinet报数据管道错误</span>
-当在lmdb dataset上训练abinet报以下数据管道错误
-```bash
-mindocr.data.rec_lmdb_dataset WARNING - Error occurred during preprocess.
- Exception thrown from dataset pipeline. Refer to 'Dataset Pipeline Error Message'.
-
-------------------------------------------------------------------
-- Dataset Pipeline Error Message:
-------------------------------------------------------------------
-[ERROR] No cast for the specified DataType was found.
-
-------------------------------------------------------------------
-- C++ Call Stack: (For framework developers)
-------------------------------------------------------------------
-mindspore/ccsrc/minddata/dataset/kernels/py_func_op.cc(143).
-```
-可以尝试用如下步骤修复：
-
- - 找到mindspore的包路径
- - 打开文件: `mindspore/dataset/transforms/transform.py`
- - 跳转到93行，可以得到如下内容:
-  ```bash
-  93        if key in EXECUTORS_LIST:
-  94           # get the executor by process id and thread id
-  95            executor = EXECUTORS_LIST[key]
-  96            # remove the old transform which in executor and update the new transform
-  97            executor.UpdateOperation(self.parse())
-  98        else:
-  99            # create a new executor by process id and thread_id
-  100           executor = cde.Execute(self.parse())
-  101           # add the executor the global EXECUTORS_LIST
-  102           EXECUTORS_LIST[key] = executor
-  ```
-
- - 使用`executor = cde.Execute(self.parse())`替换97行, 得到如下内容:
-  ```bash
-  93        if key in EXECUTORS_LIST:
-  94            # get the executor by process id and thread id
-  95            executor = EXECUTORS_LIST[key]
-  96            # remove the old transform which in executor and update the new transform
-  97            executor = cde.Execute(self.parse())
-  98        else:
-  99            # create a new executor by process id and thread_id
-  100           executor = cde.Execute(self.parse())
-  101           # add the executor the global EXECUTORS_LIST
-  102           EXECUTORS_LIST[key] = executor
-  ```
-
-  - 保存后再次尝试训练即可
 
-### <span id="q12">Q12 当在synthtext数据集上训练dbnet报运行时错误</span>
+### <span id="q11">Q11 当在synthtext数据集上训练dbnet报运行时错误</span>
 当在synthtext数据集上训练dbnet报以下数据管道错误
 ```bash
 Traceback (most recent call last):
@@ -819,7 +769,7 @@ RuntimeError: Run task for graph:kernel_graph_1 error! The details reger to 'Asc
 请尝试将CANN更新到7.1。
 
 
-### <span id="q13">Q13 安装seqeval相关错误</span>
+### <span id="q12">Q12 安装seqeval相关错误</span>
 当运行`pip install -r requirements.txt`时，报以下错误
 ```bash
 Collecting seqeval>=1.2.2 (from -r requirements.txt (line 19))
@@ -897,7 +847,7 @@ note: This is an issue with the package mentioned above, not pip.
  - 安装`seqeval`：`pip3 install seqeval -i https://pypi.tuna.tsinghua.edu.cn/simple`
 
 
-### <span id="q14">Q14 安装lanms相关错误</span>
+### <span id="q13">Q13 安装lanms相关错误</span>
 当安装lanms时，报
 ```bash
 ImportError: Python version mismatch: module was compiled for version 3.8, while the interpreter is running version 3.7.