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‎docs/common/ai/_qai-appbuilder.mdx‎

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## 应用例子
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<Tabs>
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<TabItem value="QCS6490">
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:::tip
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QCS6490 Demos 运行示例可参考 [**Demos 示例**](./qai-appbuilder-demo)
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:::
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<NewCodeBlock tip="Device" type="device">
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```bash
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cd ai-engine-direct-helper/samples/linux/python
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```
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</NewCodeBlock>
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- 目标识别
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| 模型 | 运行方法 |
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| ------------------- | ----------------------------------------------- |
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| convnext_base | `python3 convnext_base/convnext_base.py` |
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| convnext_tiny | `python3 convnext_tiny/convnext_tiny.py` |
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| efficientnet_b0 | `python3 efficientnet_b0/efficientnet_b0.py` |
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| efficientnet_b4 | `python3 efficientnet_b4/efficientnet_b4.py` |
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| efficientnet_v2_s | `python3 efficientnet_v2_s/efficientnet_v2_s.py` |
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| googlenet | `python3 googlenet/googlenet.py` |
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| inception_v3 | `python3 inception_v3/inception_v3.py` |
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| levit | `python3 levit/levit.py` |
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| regnet | `python3 regnet/regnet.py` |
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| shufflenet_v2 | `python3 shufflenet_v2/shufflenet_v2.py` |
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| squeezenet1_1 | `python3 squeezenet1_1/squeezenet1_1.py` |
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| vit | `python3 vit/vit.py` |
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| wideresnet50 | `python3 wideresnet50/wideresnet50.py` |
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- 图像分割
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| 模型 | 运行方法 |
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| ------------- | ------------------------------------- |
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| fcn_resnet50 | `python3 fcn_resnet50/fcn_resnet50.py` |
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- 目标检测
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| 模型 | 运行方法 |
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| ----------- | --------------------------------- |
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| yolov8_det | `python3 yolov8_det/yolov8_det.py` |
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- 图像超分辨率
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| 模型 | 运行方法 |
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| --------------------------- | ------------------------------------------------------------- |
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| quicksrnetmedium | `python3 quicksrnetmedium/quicksrnetmedium.py` |
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| real_esrgan_general_x4v3 | `python3 real_esrgan_general_x4v3/real_esrgan_general_x4v3.py` |
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| real_esrgan_x4plus | `python3 real_esrgan_x4plus/real_esrgan_x4plus.py` |
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| sesr_m5 | `python3 sesr_m5/sesr_m5.py` |
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| xlsr | `python3 xlsr/xlsr.py` |
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</TabItem>
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<TabItem value="QCS9075">
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:::tip
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QCS9075 Demos 运行示例可参考 [**Demos 示例**](./qai-appbuilder-demo)
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:::
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<NewCodeBlock tip="Device" type="device">
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```bash
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cd ai-engine-direct-helper/samples/python
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```
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</NewCodeBlock>
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<TabItem value="QCS6490">
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:::tip
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QCS6490 Demos 运行示例可参考 [**Demos 示例**](./qai-appbuilder-demo)
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:::
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- 图像生成 / 图像修复
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<NewCodeBlock tip="Device" type="device">
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| 模型 | 运行方法 |
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| ------------------------- | ----------------------------------------------------------------------------------------------- |
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| stable_diffusion_v2_1 | `python3 stable_diffusion_v2_1/stable_diffusion_v2_1.py --prompt "the prompt string ..."` |
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| stable_diffusion_v1_5 | `python3 stable_diffusion_v1_5/stable_diffusion_v1_5.py --prompt "the prompt string ..."` |
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| lama_dilated | `python3 lama_dilated/lama_dilated.py` |
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| aotgan | `python3 aotgan/aotgan.py` |
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```bash
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cd ai-engine-direct-helper/samples/linux/python
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```
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</NewCodeBlock>
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- 图像超分辨率
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- 目标识别
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| 模型 | 运行方法 |
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| ----------------- | ------------------------------------------------ |
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| convnext_base | `python3 convnext_base/convnext_base.py` |
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| convnext_tiny | `python3 convnext_tiny/convnext_tiny.py` |
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| efficientnet_b0 | `python3 efficientnet_b0/efficientnet_b0.py` |
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| efficientnet_b4 | `python3 efficientnet_b4/efficientnet_b4.py` |
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| efficientnet_v2_s | `python3 efficientnet_v2_s/efficientnet_v2_s.py` |
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| googlenet | `python3 googlenet/googlenet.py` |
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| inception_v3 | `python3 inception_v3/inception_v3.py` |
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| levit | `python3 levit/levit.py` |
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| regnet | `python3 regnet/regnet.py` |
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| shufflenet_v2 | `python3 shufflenet_v2/shufflenet_v2.py` |
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| squeezenet1_1 | `python3 squeezenet1_1/squeezenet1_1.py` |
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| vit | `python3 vit/vit.py` |
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| wideresnet50 | `python3 wideresnet50/wideresnet50.py` |
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- 图像分割
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| 模型 | 运行方法 |
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| ------------ | -------------------------------------- |
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| fcn_resnet50 | `python3 fcn_resnet50/fcn_resnet50.py` |
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- 目标检测
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| 模型 | 运行方法 |
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| ---------- | ---------------------------------- |
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| yolov8_det | `python3 yolov8_det/yolov8_det.py` |
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- 图像超分辨率
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| 模型 | 运行方法 |
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| ------------------------ | -------------------------------------------------------------- |
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| quicksrnetmedium | `python3 quicksrnetmedium/quicksrnetmedium.py` |
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| real_esrgan_general_x4v3 | `python3 real_esrgan_general_x4v3/real_esrgan_general_x4v3.py` |
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| real_esrgan_x4plus | `python3 real_esrgan_x4plus/real_esrgan_x4plus.py` |
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| sesr_m5 | `python3 sesr_m5/sesr_m5.py` |
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| xlsr | `python3 xlsr/xlsr.py` |
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| 模型 | 运行方法 |
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| ---------------------------- | -------------------------------------------------------------------- |
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| real_esrgan_x4plus | `python3 real_esrgan_x4plus/real_esrgan_x4plus.py` |
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| real_esrgan_general_x4v3 | `python3 real_esrgan_general_x4v3/real_esrgan_general_x4v3.py` |
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| quicksrnetmedium | `python3 quicksrnetmedium/quicksrnetmedium.py` |
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</TabItem>
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<TabItem value="QCS9075">
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- 图像识别
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:::tip
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QCS9075 Demos 运行示例可参考 [**Demos 示例**](./qai-appbuilder-demo)
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:::
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| 模型 | 运行方法 |
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| ---------------- | -------------------------------------------- |
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| inception_v3 | `python3 inception_v3/inception_v3.py` |
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| beit | `python3 beit/beit.py` |
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| googlenet | `python3 googlenet/googlenet.py` |
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<NewCodeBlock tip="Device" type="device">
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```bash
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cd ai-engine-direct-helper/samples/python
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```
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- 姿态识别
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</NewCodeBlock>
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| 模型 | 运行方法 |
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| ------------------ | ------------------------------------------------ |
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| openpose | `python3 openpose/openpose.py` |
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| mediapipe_hand | `python3 mediapipe_hand/mediapipe_hand.py` |
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- 图像生成 / 图像修复
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| 模型 | 运行方法 |
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| --------------------- | ----------------------------------------------------------------------------------------- |
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| stable_diffusion_v2_1 | `python3 stable_diffusion_v2_1/stable_diffusion_v2_1.py --prompt "the prompt string ..."` |
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| stable_diffusion_v1_5 | `python3 stable_diffusion_v1_5/stable_diffusion_v1_5.py --prompt "the prompt string ..."` |
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| lama_dilated | `python3 lama_dilated/lama_dilated.py` |
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| aotgan | `python3 aotgan/aotgan.py` |
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- 图像分割 / 深度估计
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- 图像超分辨率
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| 模型 | 运行方法 |
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| --------------------- | ------------------------------------------------------ |
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| unet_segmentation | `python3 unet_segmentation/unet_segmentation.py` |
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| depth_anything | `python3 depth_anything/depth_anything.py` |
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| 模型 | 运行方法 |
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| ------------------------ | -------------------------------------------------------------- |
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| real_esrgan_x4plus | `python3 real_esrgan_x4plus/real_esrgan_x4plus.py` |
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| real_esrgan_general_x4v3 | `python3 real_esrgan_general_x4v3/real_esrgan_general_x4v3.py` |
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| quicksrnetmedium | `python3 quicksrnetmedium/quicksrnetmedium.py` |
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- 图像识别
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- 目标检测
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| 模型 | 运行方法 |
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| ------------ | -------------------------------------- |
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| inception_v3 | `python3 inception_v3/inception_v3.py` |
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| beit | `python3 beit/beit.py` |
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| googlenet | `python3 googlenet/googlenet.py` |
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| 模型 | 运行方法 |
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| -------------- | ---------------------------------------- |
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| yolov8_det | `python3 yolov8_det/yolov8_det.py` |
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- 姿态识别
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| 模型 | 运行方法 |
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| -------------- | ------------------------------------------ |
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| openpose | `python3 openpose/openpose.py` |
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| mediapipe_hand | `python3 mediapipe_hand/mediapipe_hand.py` |
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- 三维建模
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- 图像分割 / 深度估计
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| 模型 | 运行方法 |
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| ------------------- | -------------------------------------------------- |
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| facemap_3dmm | `python3 facemap_3dmm/facemap_3dmm.py` |
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| face_attrib_net | `python3 face_attrib_net/face_attrib_net.py` |
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| 模型 | 运行方法 |
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| ----------------- | ------------------------------------------------ |
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| unet_segmentation | `python3 unet_segmentation/unet_segmentation.py` |
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| depth_anything | `python3 depth_anything/depth_anything.py` |
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- 目标检测
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- 音频模型
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| 模型 | 运行方法 |
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| ---------- | ---------------------------------- |
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| yolov8_det | `python3 yolov8_det/yolov8_det.py` |
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| 模型 | 运行方法 |
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| ------------------- | -------------------------------------------------- |
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| yamnet | `python3 yamnet/yamnet.py` |
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| whisper_base_en | `python3 whisper_base_en/whisper_base_en.py` |
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| whisper_tiny_en | `python3 whisper_tiny_en/whisper_tiny_en.py` |
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- 三维建模
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| 模型 | 运行方法 |
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| --------------- | -------------------------------------------- |
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| facemap_3dmm | `python3 facemap_3dmm/facemap_3dmm.py` |
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| face_attrib_net | `python3 face_attrib_net/face_attrib_net.py` |
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- 文本 / 多模态嵌入
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- 音频模型
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| 模型 | 运行方法 |
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| -------------------- | ------------------------------------------------------------ |
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| nomic_embed_text | `python3 nomic_embed_text/nomic_embed_text.py` |
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| openai_clip | `python3 openai_clip/openai_clip.py --text "mountain"` |
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| 模型 | 运行方法 |
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| --------------- | -------------------------------------------- |
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| yamnet | `python3 yamnet/yamnet.py` |
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| whisper_base_en | `python3 whisper_base_en/whisper_base_en.py` |
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| whisper_tiny_en | `python3 whisper_tiny_en/whisper_tiny_en.py` |
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- 文本 / 多模态嵌入
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- 三维动作识别
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| 模型 | 运行方法 |
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| ---------------- | ------------------------------------------------------ |
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| nomic_embed_text | `python3 nomic_embed_text/nomic_embed_text.py` |
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| openai_clip | `python3 openai_clip/openai_clip.py --text "mountain"` |
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| 模型 | 运行方法 |
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| resnet_3d | `python3 resnet_3d/resnet_3d.py` |
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- 三维动作识别
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| 模型 | 运行方法 |
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| --------- | -------------------------------- |
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| resnet_3d | `python3 resnet_3d/resnet_3d.py` |
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- OCR（文字识别）
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- OCR（文字识别）
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| 模型 | 运行方法 |
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| ------------ | ------------------------------------ |
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| easy_ocr | `python3 easy_ocr/easy_ocr.py` |
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| 模型 | 运行方法 |
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| -------- | ------------------------------ |
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| easy_ocr | `python3 easy_ocr/easy_ocr.py` |
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</TabItem>
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</TabItem>
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</Tabs>

‎docs/fogwise/airbox-q900/download.md‎

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## 系统镜像
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- [Ubuntu 24.04](https://radxa.com/products/fogwise/airbox-q900)
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- [radxa-airbox-q900-ubuntu-noble-gnome-t4](https://dl.radxa.com/fogwise/airbox-q900/images/radxa-airbox-q900-ubuntu-noble-gnome-t4.tar.gz)
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- [qcs9075-provision](https://dl.radxa.com/fogwise/airbox-q900/images/qcs9075-provision.tar.gz)
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## 软件工具
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根据自己的系统平台下载对应版本的 QDL 工具。
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:::
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- [启动固件](https://radxa.com/products/fogwise/airbox-q900)
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AIRbox Q900 出厂默认烧录启动固件，默认情况下无需自己烧录启动固件；若启动系统异常，可以尝试重新烧录 SPI 启动固件。

‎docs/fogwise/airbox-q900/getting-started/install-system/onboard-ufs.md‎

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### 配置 UFS
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进入 `provision` 文件夹下，打开终端，使用以下命令配置 UFS。
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进入 `qcs9075-provision` 文件夹下，打开终端，使用以下命令配置 UFS。
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<NewCodeBlock tip="PC$" type="host">
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