Merge branch 'pgnet-postpro' of github.com:JetHong/PaddleOCR into pgnet-postpro

b2e8021b · Jethong · 485785c3 · 95c931e9 · b2e8021b · b2e8021b
8 changed file
--- a/README_ch.md
+++ b/README_ch.md
@@ -8,9 +8,10 @@ PaddleOCR同时支持动态图与静态图两种编程范式
 - 静态图版本：develop分支
 **近期更新**
+- 【预告】 PaddleOCR研发团队对最新发版内容技术深入解读，4月13日晚上19:00，[直播地址](https://live.bilibili.com/21689802)
+- 2021.4.8 release 2.1版本，新增AAAI 2021论文[端到端识别算法PGNet](./doc/doc_ch/pgnet.md)开源，[多语言模型](./doc/doc_ch/multi_languages.md)支持种类增加到80+。
 - 2021.2.1 [FAQ](./doc/doc_ch/FAQ.md)新增5个高频问题，总数162个，每周一都会更新，欢迎大家持续关注。
- 2021.1.26,28,29 PaddleOCR官方研发团队带来技术深入解读三日直播课，1月26日、28日、29日晚上19:30，[直播地址](https://live.bilibili.com/21689802)
+- 2021.1.21 更新多语言识别模型，目前支持语种超过27种，包括中文简体、中文繁体、英文、法文、德文、韩文、日文、意大利文、西班牙文、葡萄牙文、俄罗斯文、阿拉伯文等，后续计划可以参考[多语言研发计划](https://github.com/PaddlePaddle/PaddleOCR/issues/1048)
- 2021.1.21 更新多语言识别模型，目前支持语种超过27种，[多语言模型下载](./doc/doc_ch/models_list.md)，包括中文简体、中文繁体、英文、法文、德文、韩文、日文、意大利文、西班牙文、葡萄牙文、俄罗斯文、阿拉伯文等，后续计划可以参考[多语言研发计划](https://github.com/PaddlePaddle/PaddleOCR/issues/1048)
 - 2020.12.15 更新数据合成工具[Style-Text](./StyleText/README_ch.md)，可以批量合成大量与目标场景类似的图像，在多个场景验证，效果明显提升。
 - 2020.11.25 更新半自动标注工具[PPOCRLabel](./PPOCRLabel/README_ch.md)，辅助开发者高效完成标注任务，输出格式与PP-OCR训练任务完美衔接。
 - 2020.9.22 更新PP-OCR技术文章，https://arxiv.org/abs/2009.09941
@@ -74,11 +75,13 @@ PaddleOCR同时支持动态图与静态图两种编程范式
 ## 文档教程
 - [快速安装](./doc/doc_ch/installation.md)
 - [中文OCR模型快速使用](./doc/doc_ch/quickstart.md)
+- [多语言OCR模型快速使用](./doc/doc_ch/multi_languages.md)
 - [代码组织结构](./doc/doc_ch/tree.md)
 - 算法介绍
    - [文本检测](./doc/doc_ch/algorithm_overview.md)
    - [文本识别](./doc/doc_ch/algorithm_overview.md)
    - [PP-OCR Pipline](#PP-OCR)
+    - [端到端PGNet算法](./doc/doc_ch/pgnet.md)
 - 模型训练/评估
    - [文本检测](./doc/doc_ch/detection.md)
    - [文本识别](./doc/doc_ch/recognition.md)

--- a/doc/doc_en/multi_languages_en.md
+++ b/doc/doc_en/multi_languages_en.md
+# Multi-language model
+**Recent Update**
+-2021.4.9 supports the detection and recognition of 80 languages
+-2021.4.9 supports **lightweight high-precision** English model detection and recognition
+-[1 Installation](#Install)
+    -[1.1 paddle installation](#paddleinstallation)
+    -[1.2 paddleocr package installation](#paddleocr_package_install)
+-[2 Quick Use](#Quick_Use)
+    -[2.1 Command line operation](#Command_line_operation)
+     -[2.1.1 Prediction of the whole image](#bash_detection+recognition)
+     -[2.1.2 Recognition](#bash_Recognition)
+     -[2.1.3 Detection](#bash_detection)
+    -[2.2 python script running](#python_Script_running)
+     -[2.2.1 Whole image prediction](#python_detection+recognition)
+     -[2.2.2 Recognition](#python_Recognition)
+     -[2.2.3 Detection](#python_detection)
+-[3 Custom Training](#Custom_Training)
+-[4 Supported languages and abbreviations](#language_abbreviations)
+<a name="Install"></a>
+## 1 Installation
+<a name="paddle_install"></a>
+### 1.1 paddle installation
+```
+# cpu
+pip install paddlepaddle
+# gpu
+pip instll paddlepaddle-gpu
+```
+<a name="paddleocr_package_install"></a>
+### 1.2 paddleocr package installation
+pip install
+```
+pip install "paddleocr>=2.0.4" # 2.0.4 version is recommended
+```
+Build and install locally
+```
+python3 setup.py bdist_wheel
+pip3 install dist/paddleocr-x.x.x-py3-none-any.whl # x.x.x is the version number of paddleocr
+```
+<a name="Quick_use"></a>
+## 2 Quick use
+<a name="Command_line_operation"></a>
+### 2.1 Command line operation
+View help information
+```
+paddleocr -h
+```
+* Whole image prediction (detection + recognition)
+Paddleocr currently supports 80 languages, which can be switched by modifying the --lang parameter.
+The specific supported [language] (#language_abbreviations) can be viewed in the table.
+``` bash
+paddleocr --image_dir doc/imgs/japan_2.jpg --lang=japan
+```
+![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs/japan_2.jpg)
+The result is a list, each item contains a text box, text and recognition confidence
+```text
+[[[671.0, 60.0], [847.0, 63.0], [847.0, 104.0], [671.0, 102.0]], ('もちもち', 0.9993342)]
+[[[394.0, 82.0], [536.0, 77.0], [538.0, 127.0], [396.0, 132.0]], ('自然の', 0.9919842)]
+[[[880.0, 89.0], [1014.0, 93.0], [1013.0, 127.0], [879.0, 124.0]], ('とろっと', 0.9976762)]
+[[[1067.0, 101.0], [1294.0, 101.0], [1294.0, 138.0], [1067.0, 138.0]], ('后味のよい', 0.9988712)]
+......
+```
+* Recognition
+```bash
+paddleocr --image_dir doc/imgs_words/japan/1.jpg --det false --lang=japan
+```
+![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_words/japan/1.jpg)
+The result is a tuple, which returns the recognition result and recognition confidence
+```text
+('したがって', 0.99965394)
+```
+* Detection
+```
+paddleocr --image_dir PaddleOCR/doc/imgs/11.jpg --rec false
+```
+The result is a list, each item contains only text boxes
+```
+[[26.0, 457.0], [137.0, 457.0], [137.0, 477.0], [26.0, 477.0]]
+[[25.0, 425.0], [372.0, 425.0], [372.0, 448.0], [25.0, 448.0]]
+[[128.0, 397.0], [273.0, 397.0], [273.0, 414.0], [128.0, 414.0]]
+......
+```
+<a name="python_script_running"></a>
+### 2.2 python script running
+ppocr also supports running in python scripts for easy embedding in your own code:
+* Whole image prediction (detection + recognition)
+```
+from paddleocr import PaddleOCR, draw_ocr
+# Also switch the language by modifying the lang parameter
+ocr = PaddleOCR(lang="korean") # The model file will be downloaded automatically when executed for the first time
+img_path ='doc/imgs/korean_1.jpg'
+result = ocr.ocr(img_path)
+# Print detection frame and recognition result
+for line in result:
+    print(line)
+# Visualization
+from PIL import Image
+image = Image.open(img_path).convert('RGB')
+boxes = [line[0] for line in result]
+txts = [line[1][0] for line in result]
+scores = [line[1][1] for line in result]
+im_show = draw_ocr(image, boxes, txts, scores, font_path='/path/to/PaddleOCR/doc/korean.ttf')
+im_show = Image.fromarray(im_show)
+im_show.save('result.jpg')
+```
+Visualization of results:
+![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_results/korean.jpg)
+* Recognition
+```
+from paddleocr import PaddleOCR
+ocr = PaddleOCR(lang="german")
+img_path ='PaddleOCR/doc/imgs_words/german/1.jpg'
+result = ocr.ocr(img_path, det=False, cls=True)
+for line in result:
+    print(line)
+```
+![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_words/german/1.jpg)
+The result is a tuple, which only contains the recognition result and recognition confidence
+```
+('leider auch jetzt', 0.97538936)
+```
+* Detection
+```python
+from paddleocr import PaddleOCR, draw_ocr
+ocr = PaddleOCR() # need to run only once to download and load model into memory
+img_path ='PaddleOCR/doc/imgs_en/img_12.jpg'
+result = ocr.ocr(img_path, rec=False)
+for line in result:
+    print(line)
+# show result
+from PIL import Image
+image = Image.open(img_path).convert('RGB')
+im_show = draw_ocr(image, result, txts=None, scores=None, font_path='/path/to/PaddleOCR/doc/fonts/simfang.ttf')
+im_show = Image.fromarray(im_show)
+im_show.save('result.jpg')
+```
+The result is a list, each item contains only text boxes
+```bash
+[[26.0, 457.0], [137.0, 457.0], [137.0, 477.0], [26.0, 477.0]]
+[[25.0, 425.0], [372.0, 425.0], [372.0, 448.0], [25.0, 448.0]]
+[[128.0, 397.0], [273.0, 397.0], [273.0, 414.0], [128.0, 414.0]]
+......
+```
+Visualization of results:
+![](https://raw.githubusercontent.com/PaddlePaddle/PaddleOCR/release/2.0/doc/imgs_results/whl/12_det.jpg)
+ppocr also supports direction classification. For more usage methods, please refer to: [whl package instructions](https://github.com/PaddlePaddle/PaddleOCR/blob/release/2.0/doc/doc_ch/whl.md).
+<a name="Custom_training"></a>
+## 3 Custom training
+ppocr supports using your own data for custom training or finetune, where the recognition model can refer to [French configuration file](../../configs/rec/multi_language/rec_french_lite_train.yml)
+Modify the training data path, dictionary and other parameters.
+For specific data preparation and training process, please refer to: [Text Detection](../doc_en/detection_en.md), [Text Recognition](../doc_en/recognition_en.md), more functions such as predictive deployment,
+For functions such as data annotation, you can read the complete [Document Tutorial](../../README.md).
+<a name="language_abbreviation"></a>
+## 4 Support languages and abbreviations
+| Language  | Abbreviation |
+| ---  | --- |
+|chinese and english|ch|
+|english|en|
+|french|fr|
+|german|german|
+|japan|japan|
+|korean|korean|
+|chinese traditional |ch_tra|
+| Italian |it|
+|Spanish |es|
+| Portuguese|pt|
+|Russia|ru|
+|Arabic|ar|
+|Hindi|hi|
+|Uyghur|ug|
+|Persian|fa|
+|Urdu|ur|
+| Serbian(latin) |rs_latin|
+|Occitan |oc|
+|Marathi|mr|
+|Nepali|ne|
+|Serbian(cyrillic)|rs_cyrillic|
+|Bulgarian |bg|
+|Ukranian|uk|
+|Belarusian|be|
+|Telugu |te|
+|Kannada |kn|
+|Tamil |ta|
+|Afrikaans |af|
+|Azerbaijani    |az|
+|Bosnian|bs|
+|Czech|cs|
+|Welsh |cy|
+|Danish|da|
+|Estonian |et|
+|Irish |ga|
+|Croatian |hr|
+|Hungarian |hu|
+|Indonesian|id|
+|Icelandic|is|
+|Kurdish|ku|
+|Lithuanian |lt|
+ |Latvian |lv|
+|Maori|mi|
+|Malay|ms|
+|Maltese |mt|
+|Dutch |nl|
+|Norwegian |no|
+|Polish |pl|
+|Romanian |ro|
+|Slovak |sk|
+|Slovenian |sl|
+|Albanian |sq|
+|Swedish |sv|
+|Swahili |sw|
+|Tagalog |tl|
+|Turkish |tr|
+|Uzbek |uz|
+|Vietnamese |vi|
+|Mongolian |mn|
+|Abaza |abq|
+|Adyghe |ady|
+|Kabardian |kbd|
+|Avar |ava|
+|Dargwa |dar|
+|Ingush |inh|
+|Lak |lbe|
+|Lezghian |lez|
+|Tabassaran |tab|
+|Bihari |bh|
+|Maithili |mai|
+|Angika |ang|
+|Bhojpuri |bho|
+|Magahi |mah|
+|Nagpur |sck|
+|Newari |new|
+|Goan Konkani|gom|
+|Saudi Arabia|sa|
--- a/ppocr/utils/utility.py
+++ b/ppocr/utils/utility.py
@@ -61,6 +61,7 @@ def get_image_file_list(img_file):
                imgs_lists.append(file_path)
    if len(imgs_lists) == 0:
        raise Exception("not found any img file in {}".format(img_file))
+    imgs_lists = sorted(imgs_lists)
    return imgs_lists

--- a/tools/eval.py
+++ b/tools/eval.py
@@ -59,10 +59,10 @@ def main():
    eval_class = build_metric(config['Metric'])
    # start eval
-    metirc = program.eval(model, valid_dataloader, post_process_class,
+    metric = program.eval(model, valid_dataloader, post_process_class,
                          eval_class, use_srn)
    logger.info('metric eval ***************')
-    for k, v in metirc.items():
+    for k, v in metric.items():
        logger.info('{}:{}'.format(k, v))

--- a/tools/export_model.py
+++ b/tools/export_model.py
@@ -31,14 +31,6 @@ from ppocr.utils.logging import get_logger
 from tools.program import load_config, merge_config, ArgsParser
-def parse_args():
-    parser = argparse.ArgumentParser()
-    parser.add_argument("-c", "--config", help="configuration file to use")
-    parser.add_argument(
-        "-o", "--output_path", type=str, default='./output/infer/')
-    return parser.parse_args()
 def main():
    FLAGS = ArgsParser().parse_args()
    config = load_config(FLAGS.config)

--- a/tools/infer/predict_rec.py
+++ b/tools/infer/predict_rec.py
@@ -41,6 +41,7 @@ class TextRecognizer(object):
        self.character_type = args.rec_char_type
        self.rec_batch_num = args.rec_batch_num
        self.rec_algorithm = args.rec_algorithm
+        self.max_text_length = args.max_text_length
        postprocess_params = {
            'name': 'CTCLabelDecode',
            "character_type": args.rec_char_type,
@@ -186,8 +187,9 @@ class TextRecognizer(object):
                    norm_img = norm_img[np.newaxis, :]
                    norm_img_batch.append(norm_img)
                else:
-                    norm_img = self.process_image_srn(
+                    norm_img = self.process_image_srn(img_list[indices[ino]],
-                        img_list[indices[ino]], self.rec_image_shape, 8, 25)
+                                                      self.rec_image_shape, 8,
+                                                      self.max_text_length)
                    encoder_word_pos_list = []
                    gsrm_word_pos_list = []
                    gsrm_slf_attn_bias1_list = []

--- a/tools/infer/predict_system.py
+++ b/tools/infer/predict_system.py
@@ -13,6 +13,7 @@
 # limitations under the License.
 import os
 import sys
+import subprocess
 __dir__ = os.path.dirname(os.path.abspath(__file__))
 sys.path.append(__dir__)
@@ -141,6 +142,7 @@ def sorted_boxes(dt_boxes):
 def main(args):
    image_file_list = get_image_file_list(args.image_dir)
+    image_file_list = image_file_list[args.process_id::args.total_process_num]
    text_sys = TextSystem(args)
    is_visualize = True
    font_path = args.vis_font_path
@@ -184,4 +186,18 @@ def main(args):
 if __name__ == "__main__":
-    main(utility.parse_args())
+    args = utility.parse_args()
+    if args.use_mp:
+        p_list = []
+        total_process_num = args.total_process_num
+        for process_id in range(total_process_num):
+            cmd = [sys.executable, "-u"] + sys.argv + [
+                "--process_id={}".format(process_id),
+                "--use_mp={}".format(False)
+            ]
+            p = subprocess.Popen(cmd, stdout=sys.stdout, stderr=sys.stdout)
+            p_list.append(p)
+        for p in p_list:
+            p.wait()
+    else:
+        main(args)
--- a/tools/infer/utility.py
+++ b/tools/infer/utility.py
@@ -98,6 +98,10 @@ def parse_args():
    parser.add_argument("--enable_mkldnn", type=str2bool, default=False)
    parser.add_argument("--use_pdserving", type=str2bool, default=False)
+    parser.add_argument("--use_mp", type=str2bool, default=False)
+    parser.add_argument("--total_process_num", type=int, default=1)
+    parser.add_argument("--process_id", type=int, default=0)
    return parser.parse_args()