Update README.md
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@@ -29,7 +29,6 @@ TexTeller was trained with ~~550K~~7.5M image-formula pairs (dataset available [
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* 📮[2024-04-12] Trained a **formula detection model**, thereby enhancing the capability to detect and recognize formulas in entire documents (whole-image inference)!
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## 🔑 Prerequisites
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python=3.10
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@@ -85,9 +84,7 @@ TexTeller also supports **formula detection and recognition** on full images, al
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### Download Weights
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English documentation formula detection [[link](https://huggingface.co/TonyLee1256/texteller_det/resolve/main/rtdetr_r50vd_6x_coco_trained_on_IBEM_en_papers.onnx?download=true)]: Trained on 8272 images from the [IBEM dataset](https://zenodo.org/records/4757865).
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Chinese documentation formula detection [[link](https://huggingface.co/TonyLee1256/texteller_det/blob/main/rtdetr_r50vd_6x_coco_trained_on_cn_textbook.onnx)]: Trained on 2560 Chinese textbook images (100+ layouts).
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Chinese-English documentation formula detection [[link](https://huggingface.co/TonyLee1256/texteller_det/resolve/main/rtdetr_r50vd_6x_coco.onnx?download=true)]: Trained on 3415 Chinese textbook images (130+ layouts).
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### Formula Detection
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@@ -1,4 +1,4 @@
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📄 <a href="../README.md">English</a> | 中文
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📄 `<a href="../README.md">`English`</a>` | 中文
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<div align="center">
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<h1>
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@@ -48,6 +48,7 @@ python=3.10
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```
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2. [安装pytorch](https://pytorch.org/get-started/locally/#start-locally)
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3. 安装本项目的依赖包:
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```bash
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@@ -112,9 +113,7 @@ TexTeller还支持对整张图片进行**公式检测+公式识别**,从而对
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### 下载权重
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英文文档公式检测 [[link](https://huggingface.co/TonyLee1256/texteller_det/resolve/main/rtdetr_r50vd_6x_coco_trained_on_IBEM_en_papers.onnx?download=true)]:在8272张[IBEM数据集](https://zenodo.org/records/4757865)上训练得到
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中文文档公式检测 [[link](https://huggingface.co/TonyLee1256/texteller_det/blob/main/rtdetr_r50vd_6x_coco_trained_on_cn_textbook.onnx)]:在2560张中文教材数据(100+版式)上训练得到
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中文英文文档公式检测 [[link](https://huggingface.co/TonyLee1256/texteller_det/resolve/main/rtdetr_r50vd_6x_coco.onnx?download=true)]:在3415张中文教材数据(130+版式)上训练得到
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### 公式检测
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@@ -149,7 +148,7 @@ python server.py
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```
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| 参数 | 描述 |
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| - | - |
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| --- | --- |
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| `-ckpt` | 权重文件的路径,*默认为TexTeller的预训练权重*。|
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| `-tknz` | 分词器的路径,*默认为TexTeller的分词器*。|
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| `-port` | 服务器的服务端口,*默认是8000*。|
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@@ -207,13 +206,9 @@ python -m models.ocr_model.train.train
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## 📅 计划
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- [X] ~~使用更大的数据集来训练模型(7.5M样本,即将发布)~~
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- [ ] 扫描图片识别
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- [ ] PDF文档识别 + 中英文场景支持
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- [ ] 推理加速
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- [ ] ...
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## ⭐️ 观星曲线
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