Merge pull request #707 from myhloli/master

refactor(docs): update model download instructions and configuration process

README.md

@@ -198,34 +198,20 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com
 
 Refer to [How to Download Model Files](docs/how_to_download_models_en.md) for detailed instructions.
 
-> ❗️After downloading the models, please make sure to verify the completeness of the model files.
->
-> Check if the model file sizes match the description on the webpage. If possible, use sha256 to verify the integrity of the files.
+#### 3. Modify the Configuration File for Additional Configuration
 
-#### 3. Copy and configure the template file
+After completing the [2. Download model weight files](#2-download-model-weight-files) step, the script will automatically generate a `magic-pdf.json` file in the user directory and configure the default model path.
+You can find the `magic-pdf.json` file in your 【user directory】.
 
-You can find the `magic-pdf.template.json` template configuration file in the root directory of the repository.
+> The user directory for Windows is "C:\\Users\\username", for Linux it is "/home/username", and for macOS it is "/Users/username".
 
-> ❗️Make sure to execute the following command to copy the configuration file to your **user directory**; otherwise, the program will not run.
->
-> The user directory for Windows is `C:\Users\YourUsername`, for Linux it is `/home/YourUsername`, and for macOS it is `/Users/YourUsername`.
+You can modify certain configurations in this file to enable or disable features, such as table recognition:
 
-```bash
-cp magic-pdf.template.json ~/magic-pdf.json
-```
-
-Find the `magic-pdf.json` file in your user directory and configure the "models-dir" path to point to the directory where the model weight files were downloaded in [Step 2](#2-download-model-weight-files).
-
-> ❗️Make sure to correctly configure the **absolute path** to the model weight files directory, otherwise the program will not run because it can't find the model files.
->
-> On Windows, this path should include the drive letter and all backslashes (`\`) in the path should be replaced with forward slashes (`/`) to avoid syntax errors in the JSON file due to escape sequences.
->
-> For example: If the models are stored in the "models" directory at the root of the D drive, the "model-dir" value should be `D:/models`.
+> If the following items are not present in the JSON, please manually add the required items and remove the comment content (standard JSON does not support comments).
 
 ```json
 {
   // other config
-  "models-dir": "D:/models",
   "table-config": {
         "model": "TableMaster", // Another option of this value is 'struct_eqtable'
         "is_table_recog_enable": false, // Table recognition is disabled by default, modify this value to enable it

README_zh-CN.md

@@ -200,35 +200,19 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
 
 详细参考 [如何下载模型文件](docs/how_to_download_models_zh_cn.md)
 
-> ❗️模型下载后请务必检查模型文件是否下载完整
->
-> 请检查目录下的模型文件大小与网页上描述是否一致，如果可以的话，最好通过sha256校验模型是否下载完整
+#### 3. 修改配置文件以进行额外配置
 
-#### 3. 拷贝配置文件并进行配置
-
-在仓库根目录可以获得 [magic-pdf.template.json](magic-pdf.template.json) 配置模版文件
-
-> ❗️务必执行以下命令将配置文件拷贝到【用户目录】下，否则程序将无法运行
->
+完成[2. 下载模型权重文件](#2-下载模型权重文件)步骤后，脚本会自动生成用户目录下的magic-pdf.json文件，并自动配置默认模型路径。
+您可在【用户目录】下找到magic-pdf.json文件。
 > windows的用户目录为 "C:\\Users\\用户名", linux用户目录为 "/home/用户名", macOS用户目录为 "/Users/用户名"
 
-```bash
-cp magic-pdf.template.json ~/magic-pdf.json
-```
-
-在用户目录中找到magic-pdf.json文件并配置"models-dir"为[2. 下载模型权重文件](#2-下载模型权重文件)中下载的模型权重文件所在目录
-
-> ❗️务必正确配置模型权重文件所在目录的【绝对路径】，否则会因为找不到模型文件而导致程序无法运行
->
-> windows系统中此路径应包含盘符，且需把路径中所有的`"\"`替换为`"/"`,否则会因为转义原因导致json文件语法错误。
-> 
+您可修改该文件中的部分配置实现功能的开关，如表格识别功能：
 
-> 例如：模型放在D盘根目录的models目录，则model-dir的值应为"D:/models"
+>如json内没有如下项目，请手动添加需要的项目，并删除注释内容（标准json不支持注释）
 
 ```json
 {
   // other config
-  "models-dir": "D:/models",
   "table-config": {
         "model": "TableMaster", // 使用structEqTable请修改为'struct_eqtable'
         "is_table_recog_enable": false, // 表格识别功能默认是关闭的，如果需要修改此处的值

docs/README_Ubuntu_CUDA_Acceleration_en_US.md

@@ -58,28 +58,12 @@
 
 ### 6. Download Models
    Refer to detailed instructions on [how to download model files](how_to_download_models_en.md).
-   After downloading, move the `models` directory to an SSD with more space.
 
-❗ After downloading the models, ensure they are complete:
-   - Check that the file sizes match the description on the website.
-   - If possible, verify the integrity using SHA256.
+## 7. Understand the Location of the Configuration File
 
-### 7. Configuration Before First Run
-   Obtain the configuration template file `magic-pdf.template.json` from the root directory of the repository.
-   
-❗ Execute the following command to copy the configuration file to your home directory, otherwise the program will not run:
-   ```sh
-   wget https://github.com/opendatalab/MinerU/raw/master/magic-pdf.template.json
-   cp magic-pdf.template.json ~/magic-pdf.json
-   ```
-   Find the `magic-pdf.json` file in your home directory and configure `"models-dir"` to be the directory where the model weights from Step 6 were downloaded.
-   
-❗ Correctly specify the absolute path of the directory containing the model weights; otherwise, the program will fail due to missing model files.
-   ```json
-   {
-     "models-dir": "/tmp/models"
-   }
-   ```
+After completing the [6. Download Models](#6-download-models) step, the script will automatically generate a `magic-pdf.json` file in the user directory and configure the default model path.
+You can find the `magic-pdf.json` file in your user directory.
+> The user directory for Linux is "/home/username".
 
 ### 8. First Run
    Download a sample file from the repository and test it.

docs/README_Ubuntu_CUDA_Acceleration_zh_CN.md

@@ -54,29 +54,11 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
 
 ## 6. 下载模型
 详细参考 [如何下载模型文件](how_to_download_models_zh_cn.md)
-下载后请将models目录移动到空间较大的ssd磁盘目录  
-> ❗️模型下载后请务必检查模型文件是否下载完整
-> 
-> 请检查目录下的模型文件大小与网页上描述是否一致，如果可以的话，最好通过sha256校验模型是否下载完整
-> 
-## 7. 第一次运行前的配置
-在仓库根目录可以获得 [magic-pdf.template.json](../magic-pdf.template.json) 配置模版文件
-> ❗️务必执行以下命令将配置文件拷贝到【用户目录】下，否则程序将无法运行
->  
-> linux用户目录为 "/home/用户名"
-```bash
-wget https://gitee.com/myhloli/MinerU/raw/master/magic-pdf.template.json
-cp magic-pdf.template.json ~/magic-pdf.json
-```
 
-在用户目录中找到magic-pdf.json文件并配置"models-dir"为[6. 下载模型](#6-下载模型)中下载的模型权重文件所在目录
-> ❗️务必正确配置模型权重文件所在目录的【绝对路径】，否则会因为找不到模型文件而导致程序无法运行
-> 
-```json
-{
-  "models-dir": "/tmp/models"
-}
-```
+## 7. 了解配置文件存放的位置
+完成[6.下载模型](#6-下载模型)步骤后，脚本会自动生成用户目录下的magic-pdf.json文件，并自动配置默认模型路径。
+您可在【用户目录】下找到magic-pdf.json文件。 
+> linux用户目录为 "/home/用户名"
 
 ## 8. 第一次运行
 从仓库中下载样本文件，并测试

docs/README_Windows_CUDA_Acceleration_en_US.md

@@ -29,37 +29,12 @@ Download link: https://repo.anaconda.com/archive/Anaconda3-2024.06-1-Windows-x86
    
 ### 5. Download Models
    Refer to detailed instructions on [how to download model files](how_to_download_models_en.md).
-   After downloading, move the `models` directory to an SSD with more space.
 
-   >❗ After downloading the models, ensure they are complete:
-   >- Check that the file sizes match the description on the website.
-   >- If possible, verify the integrity using SHA256.
+### 6. Understand the Location of the Configuration File
 
-### 6. Configuration Before the First Run
-   Obtain the configuration template file `magic-pdf.template.json` from the repository root directory.
-    
-   >❗️Execute the following command to copy the configuration file to your user directory, or the program will not run.
-   >   
-   > In Windows, user directory is "C:\Users\username"
-   
-   ```powershell
-     (New-Object System.Net.WebClient).DownloadFile('https://github.com/opendatalab/MinerU/raw/master/magic-pdf.template.json', 'magic-pdf.template.json')
-     cp magic-pdf.template.json ~/magic-pdf.json
-   ```
-
-   Find the `magic-pdf.json` file in your user directory and configure `"models-dir"` to point to the directory where the model weights from step 5 were downloaded.
-   
-   > ❗️Ensure the absolute path of the model weights directory is correctly configured, or the program will fail to run due to not finding the model files.
-   >    
-   > In Windows, this path should include the drive letter and replace all `"\"` to `"/"`.
-   >   
-   > Example: If the models are placed in the root directory of drive D, the value for `model-dir` should be `"D:/models"`.
-   
-   ```json
-   {
-     "models-dir": "/tmp/models"
-   }
-   ```
+After completing the [5. Download Models](#5-download-models) step, the script will automatically generate a `magic-pdf.json` file in the user directory and configure the default model path.
+You can find the `magic-pdf.json` file in your 【user directory】 .
+> The user directory for Windows is "C:/Users/username".
 
 ### 7. First Run
    Download a sample file from the repository and test it.

docs/README_Windows_CUDA_Acceleration_zh_CN.md

@@ -31,32 +31,11 @@ pip install -U magic-pdf[full] --extra-index-url https://wheels.myhloli.com -i h
 
 ## 5. 下载模型
 详细参考 [如何下载模型文件](how_to_download_models_zh_cn.md)
-下载后请将models目录移动到空间较大的ssd磁盘目录  
-> ❗️模型下载后请务必检查模型文件是否下载完整
-> 
-> 请检查目录下的模型文件大小与网页上描述是否一致，如果可以的话，最好通过sha256校验模型是否下载完整
-
-## 6. 第一次运行前的配置
-在仓库根目录可以获得 [magic-pdf.template.json](../magic-pdf.template.json) 配置模版文件
-> ❗️务必执行以下命令将配置文件拷贝到【用户目录】下，否则程序将无法运行
->  
-> windows用户目录为 "C:\Users\用户名"
-```powershell
-(New-Object System.Net.WebClient).DownloadFile('https://gitee.com/myhloli/MinerU/raw/master/magic-pdf.template.json', 'magic-pdf.template.json')
-cp magic-pdf.template.json ~/magic-pdf.json
-```
 
-在用户目录中找到magic-pdf.json文件并配置"models-dir"为[5. 下载模型](#5-下载模型)中下载的模型权重文件所在目录
-> ❗️务必正确配置模型权重文件所在目录的【绝对路径】，否则会因为找不到模型文件而导致程序无法运行
-> 
-> windows系统中此路径应包含盘符，且需把路径中所有的`"\"`替换为`"/"`,否则会因为转义原因导致json文件语法错误。
-> 
-> 例如：模型放在D盘根目录的models目录，则model-dir的值应为"D:/models"
-```json
-{
-  "models-dir": "/tmp/models"
-}
-```
+## 6. 了解配置文件存放的位置
+完成[5.下载模型](#5-下载模型)步骤后，脚本会自动生成用户目录下的magic-pdf.json文件，并自动配置默认模型路径。
+您可在【用户目录】下找到magic-pdf.json文件。
+> windows用户目录为 "C:/Users/用户名"
 
 ## 7. 第一次运行
 从仓库中下载样本文件，并测试

docs/download_models.py

-# use modelscope sdk download models
+import os
+import requests
+import json
 from modelscope import snapshot_download
-model_dir = snapshot_download('opendatalab/PDF-Extract-Kit')
-print(f"model dir is: {model_dir}/models")
+
+
+def download_and_modify_json(url, local_filename, modifications):
+    if os.path.exists(local_filename):
+        data = json.load(open(local_filename))
+    else:
+        # 下载JSON文件
+        response = requests.get(url)
+        response.raise_for_status()  # 检查请求是否成功
+
+        # 解析JSON内容
+        data = response.json()
+
+    # 修改内容
+    for key, value in modifications.items():
+        data[key] = value
+
+    # 保存修改后的内容
+    with open(local_filename, 'w', encoding='utf-8') as f:
+        json.dump(data, f, ensure_ascii=False, indent=4)
+
+
+if __name__ == '__main__':
+    model_dir = snapshot_download('opendatalab/PDF-Extract-Kit')
+    layoutreader_model_dir = snapshot_download('ppaanngggg/layoutreader')
+    model_dir = model_dir + "/models"
+    print(f"model_dir is: {model_dir}")
+    print(f"layoutreader_model_dir is: {layoutreader_model_dir}")
+
+    json_url = 'https://gitee.com/myhloli/MinerU/raw/master/magic-pdf.template.json'
+    config_file_name = "magic-pdf.json"
+    home_dir = os.path.expanduser("~")
+    config_file = os.path.join(home_dir, config_file_name)
+
+    json_mods = {
+        'models-dir': model_dir,
+        'layoutreader-model-dir': layoutreader_model_dir,
+    }
+
+    download_and_modify_json(json_url, config_file, json_mods)
+    print(f"The configuration file has been configured successfully, the path is: {config_file}")
\ No newline at end of file

docs/download_models_hf.py

+import os
+import requests
+import json
 from huggingface_hub import snapshot_download
-model_dir = snapshot_download('opendatalab/PDF-Extract-Kit')
-print(f"model dir is: {model_dir}/models")
+
+
+def download_and_modify_json(url, local_filename, modifications):
+    if os.path.exists(local_filename):
+        data = json.load(open(local_filename))
+    else:
+        # 下载JSON文件
+        response = requests.get(url)
+        response.raise_for_status()  # 检查请求是否成功
+
+        # 解析JSON内容
+        data = response.json()
+
+    # 修改内容
+    for key, value in modifications.items():
+        data[key] = value
+
+    # 保存修改后的内容
+    with open(local_filename, 'w', encoding='utf-8') as f:
+        json.dump(data, f, ensure_ascii=False, indent=4)
+
+
+if __name__ == '__main__':
+    model_dir = snapshot_download('opendatalab/PDF-Extract-Kit')
+    layoutreader_model_dir = snapshot_download('hantian/layoutreader')
+    model_dir = model_dir + "/models"
+    print(f"model_dir is: {model_dir}")
+    print(f"layoutreader_model_dir is: {layoutreader_model_dir}")
+
+    json_url = 'https://github.com/opendatalab/MinerU/raw/master/magic-pdf.template.json'
+    config_file_name = "magic-pdf.json"
+    home_dir = os.path.expanduser("~")
+    config_file = os.path.join(home_dir, config_file_name)
+
+    json_mods = {
+        'models-dir': model_dir,
+        'layoutreader-model-dir': layoutreader_model_dir,
+    }
+
+    download_and_modify_json(json_url, config_file, json_mods)
+    print(f"The configuration file has been configured successfully, the path is: {config_file}")
\ No newline at end of file

docs/how_to_download_models_en.md

-### 1. Install Git LFS
-Before you begin, make sure Git Large File Storage (Git LFS) is installed on your system. Install it using the following command:
+Model downloads are divided into initial downloads and updates to the model directory. Please refer to the corresponding documentation for instructions on how to proceed.
 
-```bash
-git lfs install
-```
 
-### 2. Download the Model from Hugging Face
-To download the `PDF-Extract-Kit` model from Hugging Face, use the following command:
+# Initial download of model files
 
+### 1. Download the Model from Hugging Face
+Use a Python Script to Download Model Files from Hugging Face
 ```bash
-git lfs clone https://huggingface.co/opendatalab/PDF-Extract-Kit
+pip install huggingface_hub
+wget https://github.com/opendatalab/MinerU/raw/master/docs/download_models_hf.py -O download_models_hf.py
+python download_models_hf.py
 ```
+The Python script will automatically download the model files and configure the model directory in the configuration file.
 
-Ensure that Git LFS is enabled during the clone to properly download all large files.
+The configuration file can be found in the user directory, with the filename `magic-pdf.json`.
 
-### 3. Additional steps
+# How to update models previously downloaded
 
-#### 1. Check whether the model directory is downloaded completely.
+## 1. Models downloaded via Git LFS
 
-The structure of the model folder is as follows, including configuration files and weight files of different components:
-```
-../
-├── Layout
-│   ├── config.json
-│   └── model_final.pth
-├── MFD
-│   └── weights.pt
-├── MFR
-│   └── UniMERNet
-│       ├── config.json
-│       ├── preprocessor_config.json
-│       ├── pytorch_model.bin
-│       ├── README.md
-│       ├── tokenizer_config.json
-│       └── tokenizer.json
-│── TabRec
-│   └─StructEqTable
-│       ├── config.json
-│       ├── generation_config.json
-│       ├── model.safetensors
-│       ├── preprocessor_config.json
-│       ├── special_tokens_map.json
-│       ├── spiece.model
-│       ├── tokenizer.json
-│       └── tokenizer_config.json 
-│   └─ TableMaster 
-│       └─ ch_PP-OCRv3_det_infer
-│           ├── inference.pdiparams
-│           ├── inference.pdiparams.info
-│           └── inference.pdmodel
-│       └─ ch_PP-OCRv3_rec_infer
-│           ├── inference.pdiparams
-│           ├── inference.pdiparams.info
-│           └── inference.pdmodel
-│       └─ table_structure_tablemaster_infer
-│           ├── inference.pdiparams
-│           ├── inference.pdiparams.info
-│           └── inference.pdmodel
-│       ├── ppocr_keys_v1.txt
-│       └── table_master_structure_dict.txt
-└── README.md
-```
-#### 2. Check whether the model file is fully downloaded.
+>Due to feedback from some users that downloading model files using git lfs was incomplete or resulted in corrupted model files, this method is no longer recommended.
 
-Please check whether the size of the model file in the directory is consistent with the description on the web page. If possible, it is best to check whether the model is downloaded completely through sha256.
+If you previously downloaded model files via git lfs, you can navigate to the previous download directory and use the `git pull` command to update the model.
 
-#### 3. Move the model to the solid-state drive
+## 2. Models downloaded via Hugging Face or Model Scope
 
-Move the 'models' directory to a directory with large disk space, preferably on a solid-state drive (SSD). In addition, modify the model directory in `~/magic-pdf.json` to point to the final model storage location, otherwise the model cannot be loaded.
+If you previously downloaded models via Hugging Face or Model Scope, you can rerun the Python script used for the initial download. This will automatically update the model directory to the latest version.
\ No newline at end of file

docs/how_to_download_models_zh_cn.md

-# 如何下载模型文件
+模型下载分为首次下载和更新模型目录，请参考对应的文档内容进行操作
 
-模型文件可以从Hugging Face 或 Model Scope 下载，由于网络原因，国内用户访问HF 可能会失败，请使用 ModelScope。
+# 首次下载模型文件
 
+模型文件可以从 Hugging Face 或 Model Scope 下载，由于网络原因，国内用户访问HF可能会失败，请使用 ModelScope。
 
-方法一：[从 Hugging Face 下载模型](#方法一从-hugging-face-下载模型)
+<details>
+  <summary>方法一：从 Hugging Face 下载模型</summary>
+  <p>使用python脚本 从Hugging Face下载模型文件</p>
+  <pre><code>pip install huggingface_hub
+wget https://gitee.com/myhloli/MinerU/raw/master/docs/download_models_hf.py -O download_models_hf.py
+python download_models_hf.py</code></pre>
+  <p>python脚本执行完毕后，会输出模型下载目录</p>
+</details>
 
-方法二：[从 ModelScope 下载模型](#方法二从-modelscope-下载模型)
-
-## 方法一：从 Hugging Face 下载模型
+## 方法二：从 ModelScope 下载模型
 
-使用Git LFS 从Hugging Face下载模型文件
+### 使用python脚本 从ModelScope下载模型文件
 
 ```bash
-git lfs install # 安装 Git 大文件存储插件 (Git LFS) 
-git lfs clone https://huggingface.co/opendatalab/PDF-Extract-Kit # 从 Hugging Face 下载 PDF-Extract-Kit 模型
+pip install modelscope
+wget https://gitee.com/myhloli/MinerU/raw/master/docs/download_models.py -O download_models.py
+python download_models.py
 ```
+python脚本会自动下载模型文件并配置好配置文件中的模型目录
 
+配置文件可以在用户目录中找到，文件名为`magic-pdf.json`
+> windows的用户目录为 "C:\\Users\\用户名", linux用户目录为 "/home/用户名", macOS用户目录为 "/Users/用户名"
 
-## 方法二：从 ModelScope 下载模型
-ModelScope 支持SDK或模型下载，任选一个即可。
-
-[Git lsf下载](#1利用git-lsf下载)
-
-[SDK下载](#2利用sdk下载)
-
-### 1）利用Git lsf下载
-
-```bash
-git lfs install
-git lfs clone https://www.modelscope.cn/opendatalab/PDF-Extract-Kit.git
-```
 
-### 2）利用SDK下载
+# 此前下载过模型，如何更新
 
-```bash
-# 首先安装modelscope
-pip install modelscope
-```
+## 1. 通过git lfs下载过模型
 
-```python
-# 使用modelscope sdk下载模型
-from modelscope import snapshot_download
-model_dir = snapshot_download('opendatalab/PDF-Extract-Kit')
-print(f"模型文件下载路径为：{model_dir}/models")
-```
+>由于部分用户反馈通过git lfs下载模型文件遇到下载不全和模型文件损坏情况，现已不推荐使用该方式下载。
 
-## 【❗️必须要做❗️】的额外步骤（模型下载完成后请务必完成以下操作）
+如此前通过 git lfs 下载过模型文件，可以进入到之前的下载目录中，通过`git pull`命令更新模型。
 
-### 1.检查模型目录是否下载完整
-模型文件夹的结构如下，包含了不同组件的配置文件和权重文件：
-```
-./
-├── Layout  # 布局检测模型
-│   ├── config.json
-│   └── model_final.pth
-├── MFD  # 公式检测
-│   └── weights.pt
-├── MFR  # 公式识别模型
-│   └── UniMERNet
-│       ├── config.json
-│       ├── preprocessor_config.json
-│       ├── pytorch_model.bin
-│       ├── README.md
-│       ├── tokenizer_config.json
-│       └── tokenizer.json
-│── TabRec # 表格识别模型
-│   └─StructEqTable
-│       ├── config.json
-│       ├── generation_config.json
-│       ├── model.safetensors
-│       ├── preprocessor_config.json
-│       ├── special_tokens_map.json
-│       ├── spiece.model
-│       ├── tokenizer.json
-│       └── tokenizer_config.json 
-│   └─ TableMaster 
-│       └─ ch_PP-OCRv3_det_infer
-│           ├── inference.pdiparams
-│           ├── inference.pdiparams.info
-│           └── inference.pdmodel
-│       └─ ch_PP-OCRv3_rec_infer
-│           ├── inference.pdiparams
-│           ├── inference.pdiparams.info
-│           └── inference.pdmodel
-│       └─ table_structure_tablemaster_infer
-│           ├── inference.pdiparams
-│           ├── inference.pdiparams.info
-│           └── inference.pdmodel
-│       ├── ppocr_keys_v1.txt
-│       └── table_master_structure_dict.txt
-└── README.md
-```
+> 0.9.x及以后版本由于新增layout排序模型，且该模型和此前的模型不在同一仓库，不能通过`git pull`命令更新，需要单独下载。
+> 
+>``` 
+>from modelscope import snapshot_download
+>snapshot_download('ppaanngggg/layoutreader')
+>```
 
-### 2.检查模型文件是否下载完整
-请检查目录下的模型文件大小与网页上描述是否一致，如果可以的话，最好通过sha256校验模型是否下载完整
+## 2. 通过 Hugging Face 或 Model Scope 下载过模型
 
-### 3.移动模型到固态硬盘
-将 'models' 目录移动到具有较大磁盘空间的目录中，最好是在固态硬盘(SSD)上。
+如此前通过 HuggingFace 或 Model Scope 下载过模型，可以重复执行此前的模型下载python脚本，将会自动将模型目录更新到最新版本。
\ No newline at end of file
-此外在 `~/magic-pdf.json`里修改模型的目录指向最终的模型存放位置，否则会报模型无法加载的错误。

magic-pdf.template.json

@@ -4,6 +4,7 @@
         "bucket-name-2":["ak", "sk", "endpoint"]
     },
     "models-dir":"/tmp/models",
+    "layoutreader-model-dir":"/tmp/layoutreader",
     "device-mode":"cpu",
     "table-config": {
         "model": "TableMaster",