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Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>

- Update magic-pdf installation to include specific version with full dependencies
- Add numpy, decorator, attrs, absl-py, cloudpickle, ml-dtypes, tornado, and einops as separate packages
- Specify numpy version to be less than 2

- Add pip install command for torch and torchvision
- Specify version2.3.1 for both packages
- Use Aliyun mirror for faster download

- Remove requirements.txt files for all Docker configurations
- Update package installation process in Dockerfiles:
- Use magic-pdf[full] instead of individual requirements
- Simplify installation steps and reduce image size
- Remove redundant wget commands for requirements.txt

- Remove outdated comments in table-config examples
- Add tqdm to requirements in all Docker environments

- Update PyMuPDF to version <1.25.0
- Update pydantic to version <2.11
- Update transformers to version < 5.0.0
- Remove always_apply parameter from alb.ToGray in image processing

- Remove paddleocr, paddlepaddle, rapidocr-paddle, and rapidocr-onnxruntime from requirements.txt files
- Simplify pip install commands in Dockerfiles
- Remove installation of paddlepaddle-gpu in china and global Dockerfiles
- Update requirements.txt files across all Docker configurations

- Added ftfy package to requirements.txt files for Ascend NPU, China, and Global Docker images
- This change ensures consistent text formatting across all supported platforms

- Update config version to1.2.0
- Refactor model initialization in model_init.py- Update dependencies in requirements.txt files
- Remove unused imports and models
- Add conditional imports for table models

- Add installation of paddle_custom_npu wheel for Ascend NPU support
- Update Dockerfile to include new package installation step

- Update PaddlePaddle from 3.0.0b1 to 3.0.0rc1 in Dockerfiles
- Update RapidOCR dependencies to specific versions in requirements.txt files
- Update requirements for all Docker configurations (china, global, ascend_npu)

- Update rapid-table version from ==0.3.0 to >=1.0.3,<2.0.0 in multiple requirements files
- This change affects Ascend NPU, China, and Global Docker configurations

- Remove doclayout_yolo==0.0.2b1 and doclayout-yolo==0.0.2
- Add doclayout-yolo==0.0.2b1 to all requirements files

- Merge title blocks that are close to each other horizontally
- Adjust line insertion logic for title blocks- Increase image size and decrease confidence threshold for layout detection
- Update DocLayoutYOLO model weights
- Refactor drawing of bounding boxes for different block types

- Set PyMuPDF version to <= 1.24.14 in all requirements files
- Prevent potential compatibility issues with future versions

- Replace Gitee URLs with jsdelivr URLs in multiple files
- Update Dockerfile instructions to use new URLs
- Modify documentation to reflect new resource location
- Adjust scripts and READMEs to point to new URL for downloads

- Update Dockerfiles to use Aliyun mirror for magic-pdf installation
- Add -y flag to add-apt-repository for non-interactive mode

- Update fast-langdetect from 0.2.0 to >=0.2.3,<0.3.0
- Specify version for rapid_table: ==0.3.0

- Align python3.10-dev and python3-pip for improved visual consistency
- Enhance Dockerfile formatting without changing functionality

- Add new file README_Ascend_NPU_Acceleration_zh_CN.md in docs folder
- Update README.md and README_zh-CN.md to include link to new NPU acceleration guide
- Provide instructions for building and running Docker image for Ascend NPU
- List known issues and limitations when using Ascend NPU

- Update package sources to use Aliyun mirrors for faster downloads
- Upgrade pip and install Python packages in virtual environment
- Add python3.10-dev package to Huawei NPU Dockerfile
- Update requirements file URLs to master branch- Install specific version of torch_npu in Huawei NPU Dockerfile
- Update magic-pdf installation method
- Improve modelscope installation process
- Optimize model download and configuration update steps

- Update Dockerfiles in china, global, and huawei_npu directories
- Improve wget commands by specifying output file names
- Update READMEs to reflect new Dockerfile locations

- Add Dockerfile for global setup with Ubuntu base image
- Add Dockerfile for Huawei NPU setup with Ascend base image
- Update requirements file structure:  - Rename requirements-docker.txt to docker/china/requirements.txt - Add new requirements files for global and Huawei NPU setups
- Install necessary packages and dependencies in both Dockerfiles- Set up virtual environment and install Python packages
- Download models and configure magic-pdf for both setups