feat: airbox q900 docs

docs/Home.md

@@ -621,20 +621,20 @@ sidebar_custom_props:
             ],
         },
         {
-          series_en: "SG Family",
-          series_zh: "SG 系列",
-          series_introduction_en: "SG series is a series of computing modules and edge computing boxes developed by Radxa based on SOPHGO SG2300X. It has up to 32TOPS@INT8 computing power, powerful and complete deep learning toolchain, and up to 32-channel video processing capability. It is widely used and highly reliable.",
-          series_introduction_zh: "SG 系列是瑞莎基于 SOPHGO SG2300X 研发的一系列计算模块和边缘智算盒子。它有高达32TOPS@INT8的算力， 具备强大完备的深度学习工具链、最高达32路视频处理能力。用途广泛，可靠性高。",
+          series_en: "Fogwise® Family",
+          series_zh: "Fogwise® 系列",
+          series_introduction_en: "The FogWise® Edge Computing Series by Radxa is built on an open ecosystem and industrial-grade design, delivering integrated capabilities from device-side inference to cloud-edge collaboration. The product lineup includes edge AI computing boxes, industrial gateways, and edge servers, empowering enterprises to rapidly deploy stable and scalable edge intelligence across diverse scenarios.",
+          series_introduction_zh: "瑞莎 FogWise® 边缘计算系列以开放生态和工业级设计为底座，提供从设备端推理到云边协同的一体化能力；产品覆盖边缘智算盒、工业网关、边缘服务器，助力企业在多场景快速落地稳定、可规模化的边缘智能。",
           products:
             [
               {
                 products_name: "Fogwise® AirBox",
-                products_photo_url: "/home/product-pictures/airbox.webp",
-                products_link: "/sophon/airbox",
+                products_photo_url: "/en/home/product-pictures/airbox.webp",
+                products_link: "/fogwise/airbox",
                 docs:
                   [
                     {
-                      docs_link: "/sophon/airbox",
+                      docs_link: "/fogwise/airbox",
                       docs_photo_type: "Overview",
                       docs_name_en: "Overview",
                       docs_name_zh: "Radxa Fogwise® AirBox 概览",
@@ -643,6 +643,22 @@ sidebar_custom_props:
                     },
                   ],
               },
+              {
+                products_name: "Fogwise® AIRbox Q900",
+                products_photo_url: "/en/home/product-pictures/airbox-q900.webp",
+                products_link: "/fogwise/airbox-q900",
+                docs:
+                  [
+                    {
+                      docs_link: "/fogwise/airbox-q900",
+                      docs_photo_type: "Overview",
+                      docs_name_en: "Overview",
+                      docs_name_zh: "Radxa Fogwise® AIRbox Q900 概览",
+                      docs_info_en: "Overview of the Radxa Fogwise® AIRbox Q900",
+                      docs_info_zh: "Radxa Fogwise® AIRbox Q900 概览",
+                    },
+                  ],
+              },
             ],
         },
         {

docs/aicore/dx-m1/dx-sdk/dx-npu-driver.md

@@ -37,7 +37,7 @@ lspci
 <NewCodeBlock tip="Host" type="device">
 
 ```bash
-tar -xvf dx_rt_npu_linux_driver_v1.3.1.tar.gz && cd dx_rt_npu_linux_driver
+tar -xvf dx_rt_npu_linux_driver_v1.3.1.tar.gz && cd dx_rt_npu_linux_driver/modules
 ```
 
 </NewCodeBlock>

docs/common/ai/_aotgan_qai-app-builder.mdx

@@ -0,0 +1,153 @@
+此文档讲述使用 [QAI AppBuilder](../qai-appbuilder) Python API 利用 Qualcomm® Hexagon™ Processor (NPU) 推理 [AOT-GAN](https://aihub.qualcomm.com/models/aotgan)
+图像修复模型。
+
+**示例支持设备**
+
+| 设备                  | SoC     |
+| --------------------- | ------- |
+| Fogwise® AIRbox Q900 | QCS9075 |
+
+## 安装 QAI AppBuilder
+
+:::tip
+
+1. 请根据 [**QAI AppBuilder 安装方法**](../qai-appbuilder) 安装 QAI AppBuilder。
+
+2. 请根据 [**配置 QAIRT 环境变量**](../qai-appbuilder#配置-qairt-环境变量) 配置 QAIRT 环境变量。
+   :::
+
+## 运行示例
+
+### 安装依赖
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+pip3 install requests tqdm qai-hub py3_wget opencv-python torch torchvision
+```
+
+</NewCodeBlock>
+
+### 运行脚本
+
+- 进入示例目录
+
+    <Tabs>
+
+        <TabItem value="QCS9075">
+
+       <NewCodeBlock tip="Device" type="device">
+
+        ```bash
+        cd ai-engine-direct-helper/samples/python
+        ```
+
+        </NewCodeBlock>
+
+    </TabItem>
+
+    </Tabs>
+
+- 准备输入图片，这里以以下图片为输入示例
+
+  {" "}
+
+  <div style={{ textAlign: "center" }}>
+    <img
+      src="/img/fogwise/airbox-q900/qairt-aotgan_input.webp"
+      style={{ width: "65%" }}
+    />
+    input image
+  </div>
+
+  <div style={{ textAlign: "center" }}>
+    <img
+      src="/img/fogwise/airbox-q900/qairt-aotgan_mask.webp"
+      style={{ width: "65%" }}
+    />
+    mask image
+  </div>
+
+- 执行推理
+
+    <NewCodeBlock tip="Device" type="device">
+
+  ```bash
+  python3 aotgan/aotgan.py
+  ```
+
+    </NewCodeBlock>
+
+  ```bash
+  $ python3 aotgan/aotgan.py
+       0.0ms [WARNING]  <W> Initializing HtpProvider
+
+  /prj/qct/webtech_scratch20/mlg_user_admin/qaisw_source_repo/rel/qairt-2.37.1/point_release/SNPE_SRC/avante-tools/prebuilt/dsp/hexagon-sdk-5.5.5/ipc/fastrpc/rpcmem/src/rpcmem_android.c:38:dummy call to rpcmem_init, rpcmem APIs will be used from libxdsprpc
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+     136.6ms [WARNING] Time: Read model file to memory. 21.49
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+     205.5ms [WARNING] Time: contextCreateFromBinary. 68.83
+
+     205.6ms [WARNING] Time: UnmapViewOfFile. 0.00
+
+     207.5ms [WARNING] Time: model_initialize aotgan 207.45
+
+     415.4ms [WARNING] Time: model_inference aotgan 154.66
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+  /usr/bin/xdg-open: 882: www-browser: not found
+  /usr/bin/xdg-open: 882: links2: not found
+  /usr/bin/xdg-open: 882: elinks: not found
+  /usr/bin/xdg-open: 882: links: not found
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+  /usr/bin/xdg-open: 882: lynx: not found
+  /usr/bin/xdg-open: 882: w3m: not found
+  xdg-open: no method available for opening '/tmp/tmpjvwp3wzi.PNG'
+  /usr/bin/xdg-open: 882: www-browser: not found
+  /usr/bin/xdg-open: 882: links2: not found
+  /usr/bin/xdg-open: 882: elinks: not found
+  /usr/bin/xdg-open: 882: links: not found
+  /prj/qct/webtech_scratch20/mlg_user_admin/qaisw_source_repo/rel/qairt-2.37.1/point_release/SNPE_SRC/avante-tools/prebuilt/dsp/hexagon-sdk-5.5.5/ipc/fastrpc/rpcmem/src/rpcmem_android.c:42:dummy call to rpcmem_deinit, rpcmem APIs will be used from libxdsprpc
+     801.6ms [WARNING] Time: model_destroy aotgan 67.93
+
+  /usr/bin/xdg-open: 882: lynx: not found
+  /usr/bin/xdg-open: 882: w3m: not found
+  xdg-open: no method available for opening '/tmp/tmp0z61xxdt.PNG'
+  ```
+
+  {" "}
+
+  <div style={{ textAlign: "center" }}>
+    <img
+      src="/img/fogwise/airbox-q900/qairt-aotgan_output.webp"
+      style={{ width: "65%" }}
+    />
+    output image
+  </div>

docs/common/ai/_beit_qai-app-builder.mdx

@@ -0,0 +1,126 @@
+此文档讲述使用 [QAI AppBuilder](../qai-appbuilder) Python API 利用 Qualcomm® Hexagon™ Processor (NPU) 推理 [Beit](https://aihub.qualcomm.com/models/beit)
+目标识别模型。
+
+**示例支持设备**
+
+| 设备                  | SoC     |
+| --------------------- | ------- |
+| Fogwise® AIRbox Q900 | QCS9075 |
+
+## 安装 QAI AppBuilder
+
+:::tip
+
+1. 请根据 [**QAI AppBuilder 安装方法**](../qai-appbuilder) 安装 QAI AppBuilder。
+
+2. 请根据 [**配置 QAIRT 环境变量**](../qai-appbuilder#配置-qairt-环境变量) 配置 QAIRT 环境变量。
+   :::
+
+## 运行示例
+
+### 安装依赖
+
+<NewCodeBlock tip="Device" type="device">
+
+```bash
+pip3 install requests tqdm qai-hub py3_wget opencv-python torch torchvision
+```
+
+</NewCodeBlock>
+
+### 运行脚本
+
+- 进入示例目录
+
+    <Tabs>
+
+        <TabItem value="QCS9075">
+
+       <NewCodeBlock tip="Device" type="device">
+
+        ```bash
+        cd ai-engine-direct-helper/samples/python
+        ```
+
+        </NewCodeBlock>
+
+    </TabItem>
+
+    </Tabs>
+
+- 准备输入图片，这里以以下图片为输入示例
+
+  {" "}
+
+  <div style={{ textAlign: "center" }}>
+    <img src="/img/dragon/q6a/test_image.webp" style={{ width: "65%" }} />
+    input image
+  </div>
+
+- 执行推理
+
+    <NewCodeBlock tip="Device" type="device">
+
+  ```bash
+  python3 beit/beit.py
+  ```
+
+    </NewCodeBlock>
+
+  ```bash
+  $ python3 beit/beit.py
+       0.0ms [WARNING]  <W> Initializing HtpProvider
+
+  /prj/qct/webtech_scratch20/mlg_user_admin/qaisw_source_repo/rel/qairt-2.37.1/point_release/SNPE_SRC/avante-tools/prebuilt/dsp/hexagon-sdk-5.5.5/ipc/fastrpc/rpcmem/src/rpcmem_android.c:38:dummy call to rpcmem_init, rpcmem APIs will be used from libxdsprpc
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+     179.0ms [WARNING] Time: Read model file to memory. 60.05
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+     284.7ms [WARNING] Time: contextCreateFromBinary. 105.62
+
+     284.8ms [WARNING] Time: UnmapViewOfFile. 0.00
+
+     288.1ms [WARNING] Time: model_initialize beit 288.01
+
+     365.3ms [WARNING] Time: model_inference beit 17.72
+
+  Top 5 predictions for image:
+
+  "Samoyed", 0.6322221756
+  "Pomeranian", 0.1098636836
+  "Keeshond", 0.0410530604
+  "Japanese Chin", 0.0093044275
+  "Chow Chow", 0.0058453484
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+       0.0ms [WARNING]  <W> This META does not have Alloc2 Support
+
+  /prj/qct/webtech_scratch20/mlg_user_admin/qaisw_source_repo/rel/qairt-2.37.1/point_release/SNPE_SRC/avante-tools/prebuilt/dsp/hexagon-sdk-5.5.5/ipc/fastrpc/rpcmem/src/rpcmem_android.c:42:dummy call to rpcmem_deinit, rpcmem APIs will be used from libxdsprpc
+     483.8ms [WARNING] Time: model_destroy beit 113.14
+  ```
+
+  打印结果可以看到 `Samoyed` 置信度最高，这与输入图片内容吻合。