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Rdk X5 Ai Detect

在 RDK X5 的 10TOPS BPU 上运行单个 AI 推理算法:YOLO 目标检测、图像分类、语义分割、人脸识别、手势识别、人体关键点、开放词汇检测(DOSOD/YOLO-World)

v1.0.0
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name: rdk-x5-ai-detect description: "在 RDK X5 的 10TOPS BPU 上运行单个 AI 推理算法:YOLO 目标检测、图像分类、语义分割、人脸识别、手势识别、人体关键点、开放词汇检测(DOSOD/YOLO-World)、双目深度估计、语音识别、端侧轻量 LLM(≤2B 参数量化模型)。Use when the user wants to run a single AI algorithm, deploy pre-built .bin models to BPU, or ask what AI models/LLMs RDK X5 can run (能力咨询). Do NOT use for camera hardware setup (use rdk-x5-camera), multimedia encoding (use rdk-x5-media), running /app demo scripts (use rdk-x5-app), integrated camera+AI+output pipeline (use rdk-x5-tros), model conversion/quantization/export (use Horizon toolchain on PC), large generative models like Stable Diffusion (insufficient VRAM), or custom code that bridges AI results to external services like MQTT." license: MIT-0 metadata: openclaw: requires: bins: - ros2 compatibility: platform: rdk-x5

RDK X5 AI Detect — BPU AI 推理

RDK X5 搭载 10 TOPS BPU,所有 AI 算法通过 TogetheROS.Bot (tros.b) 框架运行。

前置准备

# 每个终端都需要 source
source /opt/tros/humble/setup.bash

# 安装 Python 推理库(可选,用于自定义推理脚本)
pip3 install hobot-dnn-rdkx5 hobot-vio-rdkx5

操作步骤

1. YOLO 目标检测(摄像头实时)

source /opt/tros/humble/setup.bash
ros2 launch dnn_node_example dnn_node_example.launch.py \
  dnn_example_config_file:=config/yolov5sworkconfig.json \
  dnn_example_image_width:=640 dnn_example_image_height:=480

浏览器 http://<RDK_IP>:8000 查看检测结果。

可选模型配置文件:

模型 config 文件
YOLOv5s config/yolov5sworkconfig.json
MobileNetV2 分类 config/mobilenetv2workconfig.json

2. 图像分类

source /opt/tros/humble/setup.bash
ros2 launch dnn_node_example dnn_node_example.launch.py \
  dnn_example_config_file:=config/mobilenetv2workconfig.json

3. 开放词汇检测(DOSOD / YOLO-World)

source /opt/tros/humble/setup.bash

# DOSOD(地瓜自研,支持语音指令指定检测目标)
ros2 launch hobot_dosod dosod.launch.py

# YOLO-World
ros2 launch hobot_yolo_world hobot_yolo_world.launch.py

4. 双目深度估计

source /opt/tros/humble/setup.bash
# 需配合双目摄像头(SC230ai / SC132gs / ZED)
ros2 launch hobot_stereonet stereonet_model.launch.py

5. 语音识别 (ASR)

source /opt/tros/humble/setup.bash
ros2 launch hobot_asr hobot_asr.launch.py

需配合音频子板(微雪 WM8960 Audio HAT 或幻尔载板)。

6. 端侧 LLM 大模型

source /opt/tros/humble/setup.bash
ros2 launch hobot_llamacpp hobot_llamacpp.launch.py

7. Web 可视化

source /opt/tros/humble/setup.bash
ros2 launch websocket websocket.launch.py

所有算法结果叠加实时画面,浏览器 http://<RDK_IP>:8000 查看。

8. RTSP 拉流 + AI 推理(智能盒子方案)

source /opt/tros/humble/setup.bash
ros2 launch hobot_rtsp_client hobot_rtsp_client.launch.py \
  rtsp_url:="rtsp://admin:password@192.168.1.64:554/stream1"

性能监控

# BPU 使用率
cat /sys/devices/system/bpu/bpu0/ratio

# 推理帧率
ros2 topic hz /ai_msg

排查故障

现象 原因 解决
Load model failed 模型文件不存在或格式错误 检查 .bin 文件路径;模型需经 hb_mapper 转换为 NV12 格式
BPU ratio 始终 0 推理节点未启动或模型未加载 ros2 node list 确认 dnn_node 正在运行
Web 无 AI 结果叠加 websocket 未连接 AI topic 确认 websocket 订阅的 topic 名称正确
帧率极低 (<5fps) 模型过大或分辨率过高 降低输入分辨率;使用轻量模型(如 YOLOv5s 替代 YOLOv5x)

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