From 98c01dabce79d5190c97917c2794e0376339c561 Mon Sep 17 00:00:00 2001 From: tink2123 Date: Sat, 19 Sep 2020 16:44:30 +0800 Subject: [PATCH] add doc and font for languages --- doc/doc_ch/inference.md | 17 +++++++++++++++++ doc/doc_ch/recognition.md | 12 ++++++++++++ doc/french.ttf | Bin 0 -> 773236 bytes doc/german.ttf | Bin 0 -> 773236 bytes doc/imgs_words/french/1.jpg | Bin 0 -> 9757 bytes doc/imgs_words/french/2.jpg | Bin 0 -> 12852 bytes doc/imgs_words/german/1.jpg | Bin 0 -> 8435 bytes doc/imgs_words/japan/1.jpg | Bin 0 -> 8898 bytes doc/imgs_words/korean/1.jpg | Bin 0 -> 3719 bytes doc/imgs_words/korean/2.jpg | Bin 0 -> 4468 bytes doc/japan.ttc | Bin 0 -> 3478068 bytes doc/korean.ttf | Bin 0 -> 1222780 bytes tools/infer/predict_system.py | 3 ++- tools/infer/utility.py | 10 +++++++--- 14 files changed, 38 insertions(+), 4 deletions(-) create mode 100644 doc/french.ttf create mode 100644 doc/german.ttf create mode 100644 doc/imgs_words/french/1.jpg create mode 100644 doc/imgs_words/french/2.jpg create mode 100644 doc/imgs_words/german/1.jpg create mode 100644 doc/imgs_words/japan/1.jpg create mode 100644 doc/imgs_words/korean/1.jpg create mode 100644 doc/imgs_words/korean/2.jpg create mode 100644 doc/japan.ttc create mode 100644 doc/korean.ttf diff --git a/doc/doc_ch/inference.md b/doc/doc_ch/inference.md index 431cdb5a..709a0751 100644 --- a/doc/doc_ch/inference.md +++ b/doc/doc_ch/inference.md @@ -24,6 +24,7 @@ inference 模型(`fluid.io.save_inference_model`保存的模型) - [2. 基于CTC损失的识别模型推理](#基于CTC损失的识别模型推理) - [3. 基于Attention损失的识别模型推理](#基于Attention损失的识别模型推理) - [4. 自定义文本识别字典的推理](#自定义文本识别字典的推理) + - [5. 多语言模型的推理](#多语言模型的推理) - [四、方向分类模型推理](#方向识别模型推理) - [1. 方向分类模型推理](#方向分类模型推理) @@ -305,6 +306,22 @@ dict_character = list(self.character_str) python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words_en/word_336.png" --rec_model_dir="./your inference model" --rec_image_shape="3, 32, 100" --rec_char_type="en" --rec_char_dict_path="your text dict path" ``` + +### 5. 多语言模型的推理 +如果您需要预测的是其他语言模型,在使用inference模型预测时,需要通过`--rec_char_dict_path`指定使用的字典路径, 同时为了得到正确的可视化结果, +需要通过 `--vis_font_path` 指定可视化的字体路径,`doc/` 路径下有默认提供的小语种字体,例如韩文识别: + +``` +python3 tools/infer/predict_rec.py --image_dir="./doc/imgs_words/korean/1.jpg" --rec_model_dir="./your inference model" --rec_char_type="korean" --rec_char_dict_path="ppocr/utils/korean_dict.txt" --vis_font_path="doc/korean.ttf" +``` +![](../imgs_words/korean/1.jpg) + +执行命令后,上图的预测结果为: +``` text +2020-09-19 16:15:05,076-INFO: index: [205 206 38 39] +2020-09-19 16:15:05,077-INFO: word : 바탕으로 +2020-09-19 16:15:05,077-INFO: score: 0.9171358942985535 +``` ## 四、方向分类模型推理 diff --git a/doc/doc_ch/recognition.md b/doc/doc_ch/recognition.md index 1920be56..0f4173be 100644 --- a/doc/doc_ch/recognition.md +++ b/doc/doc_ch/recognition.md @@ -201,7 +201,19 @@ Optimizer: ``` **注意,预测/评估时的配置文件请务必与训练一致。** +- 小语种 +PaddleOCR也提供了多语言的, `configs/rec/multi_languages` 路径下的提供了多语言的配置文件,目前PaddleOCR支持的多语言算法有: + +| 配置文件 | 算法名称 | backbone | trans | seq | pred | language | +| :--------: | :-------: | :-------: | :-------: | :-----: | :-----: | :-----: | +| rec_en_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 英语 | +| rec_french_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 法语 | +| rec_ger_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 德语 | +| rec_japan_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 日语 | +| rec_korean_lite_train.yml | CRNN | Mobilenet_v3 small 0.5 | None | BiLSTM | ctc | 韩语 | + +多语言模型训练方式与中文模型一致,训练数据集均为100w的合成数据,少量的字体和测试数据可以在[百度网盘]()上下载。 ### 评估 diff --git a/doc/french.ttf b/doc/french.ttf new file mode 100644 index 0000000000000000000000000000000000000000..ab68fb197d4479b3b6dec6e85bd5cbaf433a87c5 GIT binary patch literal 773236 zcmeFa3AkiMdB&=FR#9*Om0*-GAc`mvHO3f4Q5KcN zB@jdhu@AVAVBqU%AU=-cEnw6VE*Nndf}! zQCA%3GH*K3x#&NhdD?mBy1pw>-^Zx0@yzG^?wN(`0iSl6+YfTZeLs8Fu5(`8Y^>Ss 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font.getsize(c) @@ -235,7 +239,7 @@ def draw_ocr_box_txt(image, boxes, txts): else: font_size = max(int(box_height * 0.8), 10) font = ImageFont.truetype( - "./doc/simfang.ttf", font_size, encoding="utf-8") + font_path, font_size, encoding="utf-8") draw_right.text( [box[0][0], box[0][1]], txt, fill=(0, 0, 0), font=font) img_left = Image.blend(image, img_left, 0.5) -- GitLab

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