update common pre-commit configs and commit the results of running pre-commit run -a

Author: jzhang533

.gitignore

@@ -31,4 +31,4 @@ paddleocr.egg-info/
 /deploy/android_demo/app/.cxx/
 /deploy/android_demo/app/cache/
 test_tipc/web/models/
-test_tipc/web/node_modules/
+test_tipc/web/node_modules/

.pre-commit-config.yaml

@@ -1,26 +1,22 @@
 repos:
 -   repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: a11d9314b22d8f8c7556443875b731ef05965464
+    rev: v4.6.0
     hooks:
+    -   id: check-added-large-files
+        args: ['--maxkb=512']
+    -   id: check-case-conflict
     -   id: check-merge-conflict
     -   id: check-symlinks
     -   id: detect-private-key
-        files: (?!.*paddle)^.*$
     -   id: end-of-file-fixer
-        files: \.md$
     -   id: trailing-whitespace
-        files: \.md$
+        files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|py|md)$
 -   repo: https://github.com/Lucas-C/pre-commit-hooks
-    rev: v1.0.1
+    rev: v1.5.1
     hooks:
-    -   id: forbid-crlf
-        files: \.md$
     -   id: remove-crlf
-        files: \.md$
-    -   id: forbid-tabs
-        files: \.md$
     -   id: remove-tabs
-        files: \.md$
+        files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|py|md)$
 -   repo: local
     hooks:
     -   id: clang-format
@@ -31,7 +27,7 @@ repos:
         files: \.(c|cc|cxx|cpp|cu|h|hpp|hxx|cuh|proto)$
 # For Python files
 -   repo: https://github.com/psf/black.git
-    rev: 23.3.0
+    rev: 24.4.2
     hooks:
     -   id: black
         files: (.*\.(py|pyi|bzl)|BUILD|.*\.BUILD|WORKSPACE)$
@@ -47,4 +43,3 @@ repos:
             - --show-source
             - --statistics
         exclude: ^benchmark/|^test_tipc/
-

MANIFEST.in

@@ -7,4 +7,4 @@ recursive-include ppocr/postprocess *.py
 recursive-include tools/infer *.py
 recursive-include tools __init__.py
 recursive-include ppocr/utils/e2e_utils *.py
-recursive-include ppstructure *.py
+recursive-include ppstructure *.py

README.md

@@ -207,12 +207,12 @@ PaddleOCR is being oversight by a [PMC](https://github.com/PaddlePaddle/PaddleOC
 <details open>
 <summary>PP-Structure 文档分析</summary>
 
-- 版面分析+表格识别  
+- 版面分析+表格识别
 <div align="center">
     <img src="./ppstructure/docs/table/ppstructure.GIF" width="800">
 </div>
 
-- SER（语义实体识别）  
+- SER（语义实体识别）
 <div align="center">
     <img src="https://user-images.githubusercontent.com/14270174/185310636-6ce02f7c-790d-479f-b163-ea97a5a04808.jpg" width="600">
 </div>

README_en.md

@@ -119,11 +119,11 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
         - [Mobile](./deploy/lite/readme.md)
         - [Paddle2ONNX](./deploy/paddle2onnx/readme.md)
         - [PaddleCloud](./deploy/paddlecloud/README.md)
-        - [Benchmark](./doc/doc_en/benchmark_en.md)  
+        - [Benchmark](./doc/doc_en/benchmark_en.md)
 - [PP-Structure 🔥](./ppstructure/README.md)
     - [Quick Start](./ppstructure/docs/quickstart_en.md)
     - [Model Zoo](./ppstructure/docs/models_list_en.md)
-    - [Model training](./doc/doc_en/training_en.md)  
+    - [Model training](./doc/doc_en/training_en.md)
         - [Layout Analysis](./ppstructure/layout/README.md)
         - [Table Recognition](./ppstructure/table/README.md)
         - [Key Information Extraction](./ppstructure/kie/README.md)
@@ -136,7 +136,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
     - [Text recognition](./doc/doc_en/algorithm_overview_en.md)
     - [End-to-end OCR](./doc/doc_en/algorithm_overview_en.md)
     - [Table Recognition](./doc/doc_en/algorithm_overview_en.md)
-    - [Key Information Extraction](./doc/doc_en/algorithm_overview_en.md)  
+    - [Key Information Extraction](./doc/doc_en/algorithm_overview_en.md)
     - [Add New Algorithms to PaddleOCR](./doc/doc_en/add_new_algorithm_en.md)
 - Data Annotation and Synthesis
     - [Semi-automatic Annotation Tool: PPOCRLabel](https://github.com/PFCCLab/PPOCRLabel/blob/main/README.md)
@@ -188,7 +188,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
 <details open>
 <summary>PP-StructureV2</summary>
 
-- layout analysis + table recognition  
+- layout analysis + table recognition
 <div align="center">
     <img src="./ppstructure/docs/table/ppstructure.GIF" width="800">
 </div>
@@ -209,7 +209,7 @@ PaddleOCR support a variety of cutting-edge algorithms related to OCR, and devel
 - RE (Relation Extraction)
 <div align="center">
     <img src="https://user-images.githubusercontent.com/25809855/186094813-3a8e16cc-42e5-4982-b9f4-0134dfb5688d.png" width="600">
-</div>  
+</div>
 
 <div align="center">
     <img src="https://user-images.githubusercontent.com/14270174/185393805-c67ff571-cf7e-4217-a4b0-8b396c4f22bb.jpg" width="600">

applications/PCB字符识别/PCB字符识别.md

@@ -546,7 +546,7 @@ python3 tools/infer/predict_system.py  \
     --use_gpu=True
 ```
 
-得到保存结果，文本检测识别可视化图保存在`det_rec_infer/`目录下，预测结果保存在`det_rec_infer/system_results.txt`中，格式如下：`0018.jpg	[{"transcription": "E295", "points": [[88, 33], [137, 33], [137, 40], [88, 40]]}]`
+得到保存结果，文本检测识别可视化图保存在`det_rec_infer/`目录下，预测结果保存在`det_rec_infer/system_results.txt`中，格式如下：`0018.jpg   [{"transcription": "E295", "points": [[88, 33], [137, 33], [137, 40], [88, 40]]}]`
 
 2）然后将步骤一保存的数据转换为端对端评测需要的数据格式： 修改 `tools/end2end/convert_ppocr_label.py`中的代码，convert_label函数中设置输入标签路径，Mode，保存标签路径等，对预测数据的GTlabel和预测结果的label格式进行转换。
 ```

applications/PCB字符识别/gen_data/corpus/text.txt

@@ -27,4 +27,4 @@ K06
 KIEY
 NZQJ
 UN1B
-6X4
+6X4

applications/中文表格识别.md

@@ -456,7 +456,7 @@ display(HTML('<html><body><table><tr><td colspan="5">alleadersh</td><td rowspan=
 
 预测结果如下：
 ```
-val_9.jpg:	 {'attributes': ['Scanned', 'Little', 'Black-and-White', 'Clear', 'Without-Obstacles', 'Horizontal'], 'output': [1, 1, 1, 1, 1, 1]}
+val_9.jpg:   {'attributes': ['Scanned', 'Little', 'Black-and-White', 'Clear', 'Without-Obstacles', 'Horizontal'], 'output': [1, 1, 1, 1, 1, 1]}
 ```
 
 
@@ -466,7 +466,7 @@ val_9.jpg:	 {'attributes': ['Scanned', 'Little', 'Black-and-White', 'Clear', 'Wi
 
 预测结果如下：
 ```
-val_3253.jpg:	 {'attributes': ['Photo', 'Little', 'Black-and-White', 'Blurry', 'Without-Obstacles', 'Tilted'], 'output': [0, 1, 1, 0, 1, 0]}
+val_3253.jpg:    {'attributes': ['Photo', 'Little', 'Black-and-White', 'Blurry', 'Without-Obstacles', 'Tilted'], 'output': [0, 1, 1, 0, 1, 0]}
 ```
 
 对比两张图片可以发现，第一张图片比较清晰，表格属性的结果也偏向于比较容易识别，我们可以更相信表格识别的结果，第二张图片比较模糊，且存在倾斜现象，表格识别可能存在错误，需要我们人工进一步校验。通过表格的属性识别能力，可以进一步将“人工”和“智能”很好的结合起来，为表格识别能力的落地的精度提供保障。

applications/光功率计数码管字符识别/光功率计数码管字符识别.md

@@ -434,16 +434,16 @@ python3 -m paddle.distributed.launch --gpus '0' tools/eval.py -c configs/rec/PP-
 
 ```
 output/rec/
-├── best_accuracy.pdopt  
-├── best_accuracy.pdparams  
-├── best_accuracy.states  
-├── config.yml  
-├── iter_epoch_3.pdopt  
-├── iter_epoch_3.pdparams  
-├── iter_epoch_3.states  
-├── latest.pdopt  
-├── latest.pdparams  
-├── latest.states  
+├── best_accuracy.pdopt
+├── best_accuracy.pdparams
+├── best_accuracy.states
+├── config.yml
+├── iter_epoch_3.pdopt
+├── iter_epoch_3.pdparams
+├── iter_epoch_3.states
+├── latest.pdopt
+├── latest.pdparams
+├── latest.states
 └── train.log
 ```
 

applications/包装生产日期识别.md

@@ -243,7 +243,7 @@ def get_cropus(f):
     elif 0.7 < rad < 0.8:
         f.write('20{:02d}-{:02d}-{:02d}'.format(year, month, day))
     elif 0.8 < rad < 0.9:
-        f.write('20{:02d}.{:02d}.{:02d}'.format(year, month, day))  
+        f.write('20{:02d}.{:02d}.{:02d}'.format(year, month, day))
     else:
         f.write('{:02d}:{:02d}:{:02d} {:02d}'.format(hours, minute, second, file_id2))