chore: update mineru

builds/mineru/.env.example

@@ -1,5 +1,5 @@
 # MinerU Docker image
-MINERU_VERSION=2.7.2
+MINERU_VERSION=2.7.3
 
 # Port configurations
 MINERU_PORT_OVERRIDE_VLLM=30000

builds/mineru/Dockerfile

@@ -19,7 +19,7 @@ RUN apt-get update && \
     rm -rf /var/lib/apt/lists/*
 
 # Install mineru latest
-RUN python3 -m pip install -U 'mineru[core]>=2.7.2' --break-system-packages && \
+RUN python3 -m pip install -U 'mineru[core]>=2.7.3' --break-system-packages && \
     python3 -m pip cache purge
 
 # Download models and update the configuration file

builds/mineru/README.md

@@ -39,7 +39,7 @@ mineru -p demo.pdf -o ./output -b vlm-http-client -u http://localhost:30000
 
 ## Configuration
 
-- `MINERU_VERSION`: The version for MinerU, default is `2.7.2`.
+- `MINERU_VERSION`: The version for MinerU, default is `2.7.3`.
 - `MINERU_PORT_OVERRIDE_VLLM`: The host port for the VLLM server, default is `30000`.
 - `MINERU_PORT_OVERRIDE_API`: The host port for the API service, default is `8000`.
 - `MINERU_PORT_OVERRIDE_GRADIO`: The host port for the Gradio WebUI, default is `7860`.

builds/mineru/README.zh.md

@@ -39,7 +39,7 @@ mineru -p demo.pdf -o ./output -b vlm-http-client -u http://localhost:30000
 
 ## 配置
 
-- `MINERU_VERSION`: MinerU 的 Docker 镜像版本，默认为 `2.7.2`。
+- `MINERU_VERSION`: MinerU 的 Docker 镜像版本，默认为 `2.7.3`。
 - `MINERU_PORT_OVERRIDE_VLLM`: VLLM 服务器的主机端口，默认为 `30000`。
 - `MINERU_PORT_OVERRIDE_API`: API 服务的主机端口，默认为 `8000`。
 - `MINERU_PORT_OVERRIDE_GRADIO`: Gradio WebUI 的主机端口，默认为 `7860`。

builds/mineru/docker-compose.yaml

@@ -8,7 +8,7 @@ x-defaults: &defaults
 
 x-mineru-vllm: &mineru-vllm
   <<: *defaults
-  image: ${GLOBAL_REGISTRY:-}alexsuntop/mineru:${MINERU_VERSION:-2.7.2}
+  image: ${GLOBAL_REGISTRY:-}alexsuntop/mineru:${MINERU_VERSION:-2.7.3}
   build:
     context: .
     dockerfile: Dockerfile
@@ -45,29 +45,10 @@ services:
       - ${MINERU_PORT_OVERRIDE_VLLM:-30000}:30000
     entrypoint: mineru-openai-server
     command:
-      # ==================== Engine Selection ====================
+      --host 0.0.0.0
-      # WARNING: Only ONE engine can be enabled at a time!
+      --port 30000
-      # Choose 'vllm' OR 'lmdeploy' (uncomment one line below)
+      # --data-parallel-size 2  # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode
-      - --engine vllm
+      # --gpu-memory-utilization 0.9 # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter, if VRAM issues persist, try lowering it further to `0.4` or below.
-      # --engine lmdeploy
-
-      # ==================== vLLM Engine Parameters ====================
-      # Uncomment if using --engine vllm
-      - --host 0.0.0.0
-      - --port 30000
-      # Multi-GPU configuration (increase throughput)
-      # --data-parallel-size 2
-      # Single GPU memory optimization (reduce if VRAM insufficient)
-      # --gpu-memory-utilization 0.5  # Try 0.4 or lower if issues persist
-
-      # ==================== LMDeploy Engine Parameters ====================
-      # Uncomment if using --engine lmdeploy
-      # --server-name 0.0.0.0
-      # --server-port 30000
-      # Multi-GPU configuration (increase throughput)
-      # --dp 2
-      # Single GPU memory optimization (reduce if VRAM insufficient)
-      # --cache-max-entry-count 0.5  # Try 0.4 or lower if issues persist
     healthcheck:
       test: ["CMD-SHELL", "curl -f http://localhost:30000/health || exit 1"]
       interval: 30s
@@ -82,21 +63,11 @@ services:
       - ${MINERU_PORT_OVERRIDE_API:-8000}:8000
     entrypoint: mineru-api
     command:
-      # ==================== Server Configuration ====================
+      --host 0.0.0.0
-      - --host 0.0.0.0
+      --port 8000
-      - --port 8000
+      # parameters for vllm-engine
-
+      # --data-parallel-size 2  # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode
-      # ==================== vLLM Engine Parameters ====================
+      # --gpu-memory-utilization 0.5  # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter, if VRAM issues persist, try lowering it further to `0.4` or below.
-      # Multi-GPU configuration
-      # --data-parallel-size 2
-      # Single GPU memory optimization
-      # --gpu-memory-utilization 0.5  # Try 0.4 or lower if VRAM insufficient
-
-      # ==================== LMDeploy Engine Parameters ====================
-      # Multi-GPU configuration
-      # --dp 2
-      # Single GPU memory optimization
-      # --cache-max-entry-count 0.5  # Try 0.4 or lower if VRAM insufficient
     healthcheck:
       test:
         [
@@ -119,30 +90,13 @@ services:
       - ${MINERU_PORT_OVERRIDE_GRADIO:-7860}:7860
     entrypoint: mineru-gradio
     command:
-      # ==================== Gradio Server Configuration ====================
+      --server-name 0.0.0.0
-      - --server-name 0.0.0.0
+      --server-port 7860
-      - --server-port 7860
+      # --enable-api false  # If you want to disable the API, set this to false
-
+      # --max-convert-pages 20  # If you want to limit the number of pages for conversion, set this to a specific number
-      # ==================== Gradio Feature Settings ====================
+      # parameters for vllm-engine
-      # --enable-api false  # Disable API endpoint
+      # --data-parallel-size 2  # If using multiple GPUs, increase throughput using vllm's multi-GPU parallel mode
-      # --max-convert-pages 20  # Limit conversion page count
+      # --gpu-memory-utilization 0.5  # If running on a single GPU and encountering VRAM shortage, reduce the KV cache size by this parameter, if VRAM issues persist, try lowering it further to `0.4` or below.
-
-      # ==================== Engine Selection ====================
-      # WARNING: Only ONE engine can be enabled at a time!
-
-      # Option 1: vLLM Engine (recommended for most users)
-      - --enable-vllm-engine true
-      # Multi-GPU configuration
-      # --data-parallel-size 2
-      # Single GPU memory optimization
-      # --gpu-memory-utilization 0.5  # Try 0.4 or lower if VRAM insufficient
-
-      # Option 2: LMDeploy Engine
-      # --enable-lmdeploy-engine true
-      # Multi-GPU configuration
-      # --dp 2
-      # Single GPU memory optimization
-      # --cache-max-entry-count 0.5  # Try 0.4 or lower if VRAM insufficient
     healthcheck:
       test:
         [