docs: translate rknn yolov8 multi-streams demo and image unzip tip

docs/common/ai/_rknn_yolov8_multi_stream.mdx

@@ -30,7 +30,7 @@ git clone https://github.com/ZIFENG278/RK3588-Multi-Stream-YOLOv8-Detection.git
 ### 安装依赖
 
 :::tip
-请在 python [虚拟环境](../venv-usage) 中安装相关依赖
+请在 python <a href={props?.venv_usage ?? '../venv-usage'}>虚拟环境</a> 中安装相关依赖
 :::
 
 <NewCodeBlock tip="Device" type="device">

docs/common/dev/_rkdevtoolV2.mdx

@@ -41,7 +41,7 @@ RKDevTool 是 Rockchip 为 Windows 平台下进行 USB 烧录所开发的软件
 
 - 选择 Loader (详见上文文件下载部分)
 - 点击右键，选择添加项，选择储存介质为 eMMC
-- 选择系统镜像(详见上文文件下载部分，下载完后需要解压成 .img 格式)
+- 选择系统镜像（详见上文文件下载部分；<span style={{color: 'red'}}>下载文件后请解压，最终使用 .img 格式镜像文件</span>）
 - 点击执行，开始烧录
 
 <img src={props.rkdevtool_emmc_img} alt="images path" />

docs/dragon/q6a/download.md

@@ -16,7 +16,7 @@ sidebar_position: 150
 
 ### Radxa OS
 
-**说明**：R1 或更高版本的系统镜像时，请使用 20251230 或更新版本的 SPI 启动固件。
+**说明**：R1 或更高版本的系统镜像时，请使用 20251230 或更新版本的 [SPI 启动固件](#启动固件)。
 
 - [radxa-dragon-q6a_noble_gnome_r2.output_512.img.xz](https://github.com/radxa-build/radxa-dragon-q6a/releases/download/rsdk-r2/radxa-dragon-q6a_noble_gnome_r2.output_512.img.xz)：适用于 MicroSD 卡 / U 盘 / eMMC / NVMe 启动系统
 - [radxa-dragon-q6a_noble_gnome_r2.output_4096.img.xz](https://github.com/radxa-build/radxa-dragon-q6a/releases/download/rsdk-r2/radxa-dragon-q6a_noble_gnome_r2.output_4096.img.xz)：适用于 UFS 启动系统

docs/rock5/rock5itx/app-development/yolov8-multi-stream.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 29
+description: 使用 RKNN 进行 YOLOv8 多路识别
+
+doc_kind: wrapper
+source_of_truth: common
+imports_resolve_to:
+  - docs/common/ai/_rknn_yolov8_multi_stream.mdx
+---
+
+# YOLOv8 多路识别
+
+import RKNNYOLOV8MULTISTREAM from "../../../common/ai/\_rknn_yolov8_multi_stream.mdx";
+
+<RKNNYOLOV8MULTISTREAM venv_usage="./venv_usage"/>

docs/rock5/rock5t/app-development/yolov8-multi-stream.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 29
+description: 使用 RKNN 进行 YOLOv8 多路识别
+
+doc_kind: wrapper
+source_of_truth: common
+imports_resolve_to:
+  - docs/common/ai/_rknn_yolov8_multi_stream.mdx
+---
+
+# YOLOv8 多路识别
+
+import RKNNYOLOV8MULTISTREAM from "../../../common/ai/\_rknn_yolov8_multi_stream.mdx";
+
+<RKNNYOLOV8MULTISTREAM venv_usage="./venv_usage"/>

i18n/en/docusaurus-plugin-content-docs/current/common/ai/_rknn_yolov8_multi_stream.mdx

@@ -0,0 +1,129 @@
+Multi-stream Video Object Detection with YOLOv8 on RK3588 NPU
+
+<div style={{ textAlign: "center" }}>
+  <img
+    src="/en/img/general-tutorial/rknn/yolov8-multi-stream.webp"
+    style={{ width: "85%" }}
+  />
+</div>
+
+## Features
+
+- **Multi-stream Processing**: Supports 9+ video streams simultaneously
+- **3-core NPU Acceleration**: Fully utilizes RK3588's 3 NPU cores
+- **Pipeline Architecture**: Decode → NPU Inference → Post-processing → Display
+- **Real-time Display**: Grid display with frame rate statistics (video FPS + inference FPS)
+- **Letterbox Preprocessing**: Maintains aspect ratio to ensure detection accuracy
+
+## Installation
+
+### Clone Project Repository
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+git clone https://github.com/ZIFENG278/RK3588-Multi-Stream-YOLOv8-Detection.git
+```
+
+</NewCodeBlock>
+
+### Install Dependencies
+
+:::tip
+Please install dependencies in a Python <a href={props?.venv_usage ?? '../venv-usage'}>virtual environment</a>
+:::
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+pip3 install rknn-toolkit-lite2 opencv-python
+```
+
+</NewCodeBlock>
+
+## Usage
+
+### Basic Run (9 streams, 3 cores)
+
+:::tip
+--video-dir: Please specify the folder containing video files
+:::
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+python3 main_rknn_pipeline.py --video-dir ./video
+```
+
+</NewCodeBlock>
+
+### No Display Mode (suitable for testing)
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+python3 main_rknn_pipeline.py --video-dir ./video --no-display --max-frames 100
+```
+
+</NewCodeBlock>
+
+### Custom Parameters
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+python3 main_rknn_pipeline.py \
+    --num-streams 6 \
+    --num-cores 3 \
+    --model yolov8n-i8-3588.rknn \
+    --video-dir video \
+    --conf-threshold 0.5 \
+    --iou-threshold 0.45
+```
+
+</NewCodeBlock>
+
+## Command Line Parameters
+
+| Parameter          | Default              | Description             |
+| ------------------ | -------------------- | ----------------------- |
+| `--num-streams`    | 9                    | Number of video streams |
+| `--num-cores`      | 3                    | NPU core count (1-3)    |
+| `--model`          | yolov8n-i8-3588.rknn | Model file path         |
+| `--video-dir`      | video                | Video directory         |
+| `--conf-threshold` | 0.4                  | Confidence threshold    |
+| `--iou-threshold`  | 0.45                 | NMS IoU threshold       |
+| `--no-display`     | False                | Disable display         |
+| `--max-frames`     | None                 | Limit number of frames  |
+
+## Performance Reference
+
+### Test Conditions
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+python main_rknn_pipeline.py \
+    --num-streams 9 \
+    --num-cores 3 \
+    --model yolov8n-i8-3588.rknn \
+    --video-dir video \
+    --max-frames 1000
+```
+
+</NewCodeBlock>
+
+| Hardware | Memory | Video Count | NPU Cores | Model   | Quantization | Frames |
+| -------- | ------ | ----------- | --------- | ------- | ------------ | ------ |
+| ROCK5B+  | 8GB    | 9           | 3         | yolov8n | INT8         | 1000   |
+
+### Test Results
+
+| Stage         | Time (avg ms) |
+| ------------- | ------------- |
+| Decode        | 2.24          |
+| Preprocess    | 2.00          |
+| NPU Inference | 25.77         |
+| Post-process  | 15.66         |
+| Draw          | 1.43          |
+| **Total**     | **47.10**     |

i18n/en/docusaurus-plugin-content-docs/current/common/dev/_rkdevtoolV2.mdx

@@ -41,7 +41,7 @@ If the operation is normal, RKDevTool will prompt `A MASKROM device was found`.
 
 - Select Loader (see File Download section above).
 - Right click, select Add item, select eMMC as the storage media.
-- Select the system image (see above section on file download, you need to unzip it into .img format after downloading).
+- Select the system image (see above section on file download; <span style={{color: 'red'}}>Please unzip the downloaded file. Use the .img format image file</span>).
 - Click Execute to start burning
 
 <img src={props.rkdevtool_emmc_img} alt="images path" />

i18n/en/docusaurus-plugin-content-docs/current/dragon/q6a/download.md

@@ -16,7 +16,7 @@ This page hosts the latest official and test system images. Test releases begin
 
 ### Radxa OS
 
-**Note**: When using R1 or higher version system images, please use SPI boot firmware version 20251230 or newer.
+**Note**: When using R1 or higher version system images, please use [SPI boot firmware](#boot-firmware) version 20251230 or newer.
 
 - [radxa-dragon-q6a_noble_gnome_r2.output_512.img.xz](https://github.com/radxa-build/radxa-dragon-q6a/releases/download/rsdk-r2/radxa-dragon-q6a_noble_gnome_r2.output_512.img.xz): For booting from MicroSD card / USB drive / eMMC / NVMe
 - [radxa-dragon-q6a_noble_gnome_r2.output_4096.img.xz](https://github.com/radxa-build/radxa-dragon-q6a/releases/download/rsdk-r2/radxa-dragon-q6a_noble_gnome_r2.output_4096.img.xz): For booting from UFS

i18n/en/docusaurus-plugin-content-docs/current/rock5/rock5b/app-development/ai/yolov8-multi-stream.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 29
+description: YOLOv8 multi-stream recognition with RKNN
+
+doc_kind: wrapper
+source_of_truth: common
+imports_resolve_to:
+  - docs/common/ai/_rknn_yolov8_multi_stream.mdx
+---
+
+# YOLOv8 Multi-stream Recognition
+
+import RKNNYOLOV8MULTISTREAM from "../../../../common/ai/\_rknn_yolov8_multi_stream.mdx";
+
+<RKNNYOLOV8MULTISTREAM />

i18n/en/docusaurus-plugin-content-docs/current/rock5/rock5itx/app-development/yolov8-multi-stream.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 29
+description: YOLOv8 multi-stream recognition with RKNN
+
+doc_kind: wrapper
+source_of_truth: common
+imports_resolve_to:
+  - docs/common/ai/_rknn_yolov8_multi_stream.mdx
+---
+
+# YOLOv8 Multi-stream Recognition
+
+import RKNNYOLOV8MULTISTREAM from "../../../common/ai/\_rknn_yolov8_multi_stream.mdx";
+
+<RKNNYOLOV8MULTISTREAM venv_usage="./venv_usage"/>

i18n/en/docusaurus-plugin-content-docs/current/rock5/rock5t/app-development/yolov8-multi-stream.md

@@ -0,0 +1,15 @@
+---
+sidebar_position: 29
+description: YOLOv8 multi-stream recognition with RKNN
+
+doc_kind: wrapper
+source_of_truth: common
+imports_resolve_to:
+  - docs/common/ai/_rknn_yolov8_multi_stream.mdx
+---
+
+# YOLOv8 Multi-stream Recognition
+
+import RKNNYOLOV8MULTISTREAM from "../../../common/ai/\_rknn_yolov8_multi_stream.mdx";
+
+<RKNNYOLOV8MULTISTREAM venv_usage="./venv_usage"/>