Unverified Commit 8cf86e38 authored by Xiaomeng Zhao's avatar Xiaomeng Zhao Committed by GitHub
Browse files

Merge pull request #2649 from opendatalab/release-2.0.2

Release 2.0.2
parents 52de921c 648bd660
......@@ -51,6 +51,10 @@ Easier to use: Just grab MinerU Desktop. No coding, no login, just a simple inte
</div>
# Changelog
- 2025/06/15 2.0.2 released
- Fixed a configuration file key-value update error that occurred when downloading model type was set to `all`
- Fixed an issue where formula and table feature toggle parameters in the command line interface could not be effectively disabled
- Updated Dockerfile and installation documentation for deploying the full version of MinerU in sglang environment
- 2025/06/13 2.0.0 Released
- MinerU 2.0 represents a comprehensive reconstruction and upgrade from architecture to functionality, delivering a more streamlined design, enhanced performance, and more flexible user experience.
- **New Architecture**: MinerU 2.0 has been deeply restructured in code organization and interaction methods, significantly improving system usability, maintainability, and extensibility.
......@@ -482,7 +486,7 @@ There are three different ways to experience MinerU:
```bash
pip install --upgrade pip
pip install uv
uv pip install "mineru[core]>=2.0.0"
uv pip install -U "mineru[core]"
```
#### 1.2 Install from source
......@@ -493,19 +497,40 @@ cd MinerU
uv pip install -e .[core]
```
#### 1.3 Install full version (with sglang acceleration)
To use **sglang acceleration for VLM model inference**, install the full version:
```bash
uv pip install "mineru[all]>=2.0.0"
```
Or install from source:
```bash
uv pip install -e .[all]
```
#### 1.3 Install the Full Version (Supports sglang Acceleration)
If you need to use **sglang to accelerate VLM model inference**, you can choose any of the following methods to install the full version:
- Install using uv or pip:
```bash
uv pip install -U "mineru[all]"
```
- Install from source:
```bash
uv pip install -e .[all]
```
- Build image using Dockerfile:
```bash
wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/global/Dockerfile
docker build -t mineru-sglang:latest -f Dockerfile .
```
Start Docker container:
```bash
docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
--ipc=host \
mineru-sglang:latest \
mineru-sglang-server --host 0.0.0.0 --port 30000
```
Or start using Docker Compose:
```bash
wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/compose.yaml
docker compose -f compose.yaml up -d
```
> [!TIP]
> The Dockerfile uses `lmsysorg/sglang:v0.4.7-cu124` as the default base image. If necessary, you can modify it to another platform version.
---
......@@ -629,7 +654,8 @@ mineru-sglang-server --port 30000
mineru -p <input_path> -o <output_path> -b vlm-sglang-client -u http://127.0.0.1:30000
```
> 💡 For more information about output files, please refer to [Output File Documentation](docs/output_file_en_us.md)
> [!TIP]
> For more information about output files, please refer to [Output File Documentation](docs/output_file_en_us.md)
---
......
......@@ -50,6 +50,10 @@
</div>
# 更新记录
- 2025/06/15 2.0.2发布
- 修复了当下载模型类型设置为`all`时,配置文件出现键值更新错误的问题
- 修复了命令行接口中公式和表格功能的开关参数实际无法关闭的问题
- 更新了sglang环境下部署完整版MinerU的Dockerfile和相关安装文档
- 2025/06/13 2.0.0发布
- MinerU 2.0 是一次从架构到功能的全面重构与升级,带来了更简洁的设计、更强的性能以及更灵活的使用体验。
- **全新架构**:MinerU 2.0 在代码结构和交互方式上进行了深度重构,显著提升了系统的易用性、可维护性与扩展能力。
......@@ -472,7 +476,7 @@ https://github.com/user-attachments/assets/4bea02c9-6d54-4cd6-97ed-dff14340982c
```bash
pip install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple
pip install uv -i https://mirrors.aliyun.com/pypi/simple
uv pip install "mineru[core]>=2.0.0" -i https://mirrors.aliyun.com/pypi/simple
uv pip install -U "mineru[core]" -i https://mirrors.aliyun.com/pypi/simple
```
#### 1.2 源码安装
......@@ -485,17 +489,38 @@ uv pip install -e .[core] -i https://mirrors.aliyun.com/pypi/simple
#### 1.3 安装完整版(支持 sglang 加速)
如需使用 **sglang 加速 VLM 模型推理**,请安装完整版本:
```bash
uv pip install "mineru[all]>=2.0.0" -i https://mirrors.aliyun.com/pypi/simple
```
或从源码安装:
```bash
uv pip install -e .[all] -i https://mirrors.aliyun.com/pypi/simple
```
如需使用 **sglang 加速 VLM 模型推理**,请选择合适的方式安装完整版本:
- 使用uv或pip安装
```bash
uv pip install -U "mineru[all]" -i https://mirrors.aliyun.com/pypi/simple
```
- 从源码安装:
```bash
uv pip install -e .[all] -i https://mirrors.aliyun.com/pypi/simple
```
- 使用 Dockerfile 构建镜像:
```bash
wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/china/Dockerfile
docker build -t mineru-sglang:latest -f Dockerfile .
```
启动 Docker 容器:
```bash
docker run --gpus all \
--shm-size 32g \
-p 30000:30000 \
--ipc=host \
mineru-sglang:latest \
mineru-sglang-server --host 0.0.0.0 --port 30000
```
或使用 Docker Compose 启动:
```bash
wget https://gcore.jsdelivr.net/gh/opendatalab/MinerU@master/docker/compose.yaml
docker compose -f compose.yaml up -d
```
> [!TIP]
> Dockerfile默认使用`lmsysorg/sglang:v0.4.7-cu124`作为基础镜像,如有需要,您可以自行修改为其他平台版本。
---
......@@ -619,7 +644,8 @@ mineru-sglang-server --port 30000
mineru -p <input_path> -o <output_path> -b vlm-sglang-client -u http://127.0.0.1:30000
```
> 💡 更多关于输出文件的信息,请参考 [输出文件说明](docs/output_file_zh_cn.md)
> [!TIP]
> 更多关于输出文件的信息,请参考 [输出文件说明](docs/output_file_zh_cn.md)
---
......
# Use the official Ubuntu base image
FROM ubuntu:22.04
# Set environment variables to non-interactive to avoid prompts during installation
ENV DEBIAN_FRONTEND=noninteractive
# Update the package list and install necessary packages
RUN apt-get update && \
apt-get install -y \
software-properties-common && \
add-apt-repository ppa:deadsnakes/ppa && \
apt-get update && \
apt-get install -y \
python3.10 \
python3.10-venv \
python3.10-distutils \
python3-pip \
wget \
git \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Set Python 3.10 as the default python3
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1
# Use the official sglang image
FROM lmsysorg/sglang:v0.4.7-cu124
# install mineru latest
RUN /bin/bash -c "pip3 install --upgrade pip -i https://mirrors.aliyun.com/pypi/simple && \
pip3 install uv -i https://mirrors.aliyun.com/pypi/simple && \
uv pip install 'mineru[all]>=2.0.0' -i https://mirrors.aliyun.com/pypi/simple"
RUN python3 -m pip install -U 'mineru[core]' -i https://mirrors.aliyun.com/pypi/simple --break-system-packages
# Download models and update the configuration file
RUN /bin/bash -c "mineru-models-download -s modelscope -m all"
......
services:
mineru-sglang:
image: mineru-sglang:latest
container_name: mineru-sglang
restart: always
ports:
- 30000:30000
environment:
MINERU_MODEL_SOURCE: local
entrypoint: mineru-sglang-server
command:
--host 0.0.0.0
--port 30000
ulimits:
memlock: -1
stack: 67108864
ipc: host
healthcheck:
test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"]
deploy:
resources:
reservations:
devices:
- driver: nvidia
device_ids: ["0"]
capabilities: [gpu]
\ No newline at end of file
# Use the official Ubuntu base image
FROM ubuntu:22.04
# Set environment variables to non-interactive to avoid prompts during installation
ENV DEBIAN_FRONTEND=noninteractive
# Update the package list and install necessary packages
RUN apt-get update && \
apt-get install -y \
software-properties-common && \
add-apt-repository ppa:deadsnakes/ppa && \
apt-get update && \
apt-get install -y \
python3.10 \
python3.10-venv \
python3.10-distutils \
python3-pip \
wget \
git \
libgl1 \
libglib2.0-0 \
&& rm -rf /var/lib/apt/lists/*
# Set Python 3.10 as the default python3
RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.10 1
# Use the official sglang image
FROM lmsysorg/sglang:v0.4.7-cu124
# install mineru latest
RUN /bin/bash -c "pip3 install --upgrade pip && \
pip3 install uv && \
uv pip install 'mineru[all]>=2.0.0'"
RUN python3 -m pip install -U 'mineru[core]' --break-system-packages
# Download models and update the configuration file
RUN /bin/bash -c "mineru-models-download -s huggingface -m all"
......
......@@ -5,6 +5,7 @@ from collections import defaultdict
import numpy as np
from .model_init import AtomModelSingleton
from ...utils.config_reader import get_formula_enable, get_table_enable
from ...utils.model_utils import crop_img, get_res_list_from_layout_res
from ...utils.ocr_utils import get_adjusted_mfdetrec_res, get_ocr_result_list, OcrConfidence
......@@ -16,8 +17,8 @@ MFR_BASE_BATCH_SIZE = 16
class BatchAnalyze:
def __init__(self, model_manager, batch_ratio: int, formula_enable, table_enable, enable_ocr_det_batch: bool = True):
self.batch_ratio = batch_ratio
self.formula_enable = formula_enable
self.table_enable = table_enable
self.formula_enable = get_formula_enable(formula_enable)
self.table_enable = get_table_enable(table_enable)
self.model_manager = model_manager
self.enable_ocr_det_batch = enable_ocr_det_batch
......
......@@ -4,7 +4,7 @@ import time
from loguru import logger
from tqdm import tqdm
from mineru.utils.config_reader import get_device, get_llm_aided_config
from mineru.utils.config_reader import get_device, get_llm_aided_config, get_formula_enable
from mineru.backend.pipeline.model_init import AtomModelSingleton
from mineru.backend.pipeline.para_split import para_split
from mineru.utils.block_pre_proc import prepare_block_bboxes, process_groups
......@@ -165,6 +165,7 @@ def page_model_info_to_page_info(page_model_info, image_dict, page, image_writer
def result_to_middle_json(model_list, images_list, pdf_doc, image_writer, lang=None, ocr_enable=False, formula_enabled=True):
middle_json = {"pdf_info": [], "_backend":"pipeline", "_version_name": __version__}
formula_enabled = get_formula_enable(formula_enabled)
for page_index, page_model_info in tqdm(enumerate(model_list), total=len(model_list), desc="Processing pages"):
page = pdf_doc[page_index]
image_dict = images_list[page_index]
......
......@@ -5,7 +5,7 @@ import PIL.Image
import torch
from .model_init import MineruPipelineModel
from mineru.utils.config_reader import get_device, get_formula_config, get_table_recog_config
from mineru.utils.config_reader import get_device
from ...utils.pdf_classify import classify
from ...utils.pdf_image_tools import load_images_from_pdf
......@@ -44,20 +44,15 @@ class ModelSingleton:
def custom_model_init(
lang=None,
formula_enable=None,
table_enable=None,
formula_enable=True,
table_enable=True,
):
model_init_start = time.time()
# 从配置文件读取model-dir和device
device = get_device()
formula_config = get_formula_config()
if formula_enable is not None:
formula_config['enable'] = formula_enable
table_config = get_table_recog_config()
if table_enable is not None:
table_config['enable'] = table_enable
formula_config = {"enable": formula_enable}
table_config = {"enable": table_enable}
model_input = {
'device': device,
......@@ -78,8 +73,8 @@ def doc_analyze(
pdf_bytes_list,
lang_list,
parse_method: str = 'auto',
formula_enable=None,
table_enable=None,
formula_enable=True,
table_enable=True,
):
MIN_BATCH_INFERENCE_SIZE = int(os.environ.get('MINERU_MIN_BATCH_INFERENCE_SIZE', 100))
......@@ -152,8 +147,8 @@ def doc_analyze(
def batch_image_analyze(
images_with_extra_info: List[Tuple[PIL.Image.Image, bool, str]],
formula_enable=None,
table_enable=None):
formula_enable=True,
table_enable=True):
# os.environ['CUDA_VISIBLE_DEVICES'] = str(idx)
from .batch_analyze import BatchAnalyze
......
......@@ -2,7 +2,6 @@
import os
import click
from pathlib import Path
import torch
from loguru import logger
from mineru.utils.config_reader import get_device
......@@ -140,10 +139,6 @@ from .common import do_parse, read_fn, pdf_suffixes, image_suffixes
def main(input_path, output_dir, method, backend, lang, server_url, start_page_id, end_page_id, formula_enable, table_enable, device_mode, virtual_vram, model_source):
if os.getenv('MINERU_FORMULA_ENABLE', None) is None:
os.environ['MINERU_FORMULA_ENABLE'] = str(formula_enable).lower()
if os.getenv('MINERU_TABLE_ENABLE', None) is None:
os.environ['MINERU_TABLE_ENABLE'] = str(table_enable).lower()
def get_device_mode() -> str:
if device_mode is not None:
return device_mode
......@@ -184,6 +179,8 @@ def main(input_path, output_dir, method, backend, lang, server_url, start_page_i
p_lang_list=lang_list,
backend=backend,
parse_method=method,
p_formula_enable=formula_enable,
p_table_enable=table_enable,
server_url=server_url,
start_page_id=start_page_id,
end_page_id=end_page_id
......
......@@ -115,6 +115,7 @@ def do_parse(
pdf_doc = all_pdf_docs[idx]
_lang = lang_list[idx]
_ocr_enable = ocr_enabled_list[idx]
middle_json = pipeline_result_to_middle_json(model_list, images_list, pdf_doc, image_writer, _lang, _ocr_enable, p_formula_enable)
pdf_info = middle_json["pdf_info"]
......
......@@ -349,6 +349,7 @@ REPLACEMENTS_PATTERNS = {
re.compile(r'\\vline = '): r'\\models ',
re.compile(r'\\vDash '): r'\\models ',
re.compile(r'\\sq \\sqcup '): r'\\square ',
re.compile(r'\\copyright'): r'©',
}
QQUAD_PATTERN = re.compile(r'\\qquad(?!\s)')
......
......@@ -86,22 +86,16 @@ def get_device():
return "cpu"
def get_table_recog_config():
table_enable = os.getenv('MINERU_TABLE_ENABLE', None)
if table_enable is not None:
return json.loads(f'{{"enable": {table_enable}}}')
else:
# logger.warning(f"not found 'MINERU_TABLE_ENABLE' in environment variable, use 'true' as default.")
return json.loads(f'{{"enable": true}}')
def get_formula_enable(formula_enable):
formula_enable_env = os.getenv('MINERU_FORMULA_ENABLE')
formula_enable = formula_enable if formula_enable_env is None else formula_enable_env.lower() == 'true'
return formula_enable
def get_formula_config():
formula_enable = os.getenv('MINERU_FORMULA_ENABLE', None)
if formula_enable is not None:
return json.loads(f'{{"enable": {formula_enable}}}')
else:
# logger.warning(f"not found 'MINERU_FORMULA_ENABLE' in environment variable, use 'true' as default.")
return json.loads(f'{{"enable": true}}')
def get_table_enable(table_enable):
table_enable_env = os.getenv('MINERU_TABLE_ENABLE')
table_enable = table_enable if table_enable_env is None else table_enable_env.lower() == 'true'
return table_enable
def get_latex_delimiter_config():
......
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