137 lines
4.2 KiB
Markdown
137 lines
4.2 KiB
Markdown
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# 开发和部署所需的命令
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ffmpeg -f dshow -i video="1080P USB Camera" -c:v libx264 -preset ultrafast -pix_fmt yuv420p -f rtsp rtsp://localhost:8554/cam
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ffmpeg -f dshow -video_size 1280x720 -vcodec mjpeg -i video="1080P USB Camera" -c:v libx264 -preset ultrafast -pix_fmt yuv420p -f rtsp rtsp://localhost:8554/cam
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cmake -S . -B build \
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-DCMAKE_BUILD_TYPE=Release \
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-DBUILD_TESTS=OFF \
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-DBUILD_SAMPLES=ON \
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-DRK3588_ENABLE_FFMPEG=ON \
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-DRK3588_ENABLE_MPP=ON \
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-DRK3588_ENABLE_RGA=ON \
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-DRK3588_ENABLE_ZLMEDIAKIT=ON \
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-DRK3588_ENABLE_RKNN=ON \
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-DRK_ZLMK_API_LIB_PATH=$PWD/third_party/rknpu2/examples/3rdparty/zlmediakit/aarch64/libmk_api.so \
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-DRK_ZLMEDIAKIT_INCLUDE_DIR=$PWD/third_party/rknpu2/examples/3rdparty/zlmediakit/include
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cmake --build build -j$(nproc)
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- 运行media-server
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./build/media-server -c configs/sample_cam4_best.json
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//退出
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pidof media-server
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kill -TERM <pid>
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ss -lntp | grep ':9000'
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<http://10.0.0.81:9000/hls/cam1/index.m3u8>
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rtsp://10.0.0.81:8555/live/cam1
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D:\minio\bin>minio.exe server D:\minio\data --address ":9000" --console-address ":9001"
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//生成人脸模型
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python build_gallery.py --dataset "D:\App\python\AddFaceTo3588\faces\dataset" --db_out "D:\App\python\AddFaceTo3588\faces\face_gallery.db" --det_model "D:\App\python\AddFaceTo3588\models\RetinaFace_mobile320.onnx" --recog_model "D:\App\python\AddFaceTo3588\models\mobilefacenet_arcface_prenorm.onnx" --det_outputs_config "D:\App\python\AddFaceTo3588\models\retinaface_mobile320_config.json" --det_score_thresh 0.6 --max_imgs_per_person 10 --pick_face largest --min_face_size 80 --expected_dim 512 --fail_on_empty true
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编译
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cd /d D:\App\C++\Rk3588Sys\agent
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$env:GOOS="linux"
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$env:GOARCH="arm64"
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$env:CGO_ENABLED="0"
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$VERSION="0.0.0-dev"
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$GITSHA="dev"
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go build -trimpath -buildvcs=false -ldflags "-s -w -X main.Version=$VERSION -X main.GitSHA=$GITSHA" -o ".\rk3588-agent" ".\cmd\rk3588-agent"
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go version -m .\rk3588-agent
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ls -l ./rk3588-agent_linux_arm64
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chmod +x ./rk3588-agent_linux_arm64
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./rk3588-agent_linux_arm64 --config agent_cam1.config.json
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用 systemd（Ubuntu 22.04 / root）部署并后台常驻运行 agent
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1) 放置文件
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在板子上执行（按你实际文件名/路径调整）：
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sh
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sudo mkdir -p /opt/rk3588-agent
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sudo cp /path/to/rk3588-agent /opt/rk3588-agent/rk3588-agent
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sudo cp /path/to/agent_cam1.config.json /opt/rk3588-agent/agent.config.json
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sudo chmod +x /opt/rk3588-agent/rk3588-agent
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关键点：运行命令需要 `--config`，这里统一放成 `/opt/rk3588-agent/agent.config.json`
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2) 创建 systemd 服务文件
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创建 /etc/systemd/system/rk3588-agent.service：
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sh
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sudo tee /etc/systemd/system/rk3588-agent.service >/dev/null <<'EOF'
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[Unit]
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Description=RK3588 Agent
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After=network-online.target
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Wants=network-online.target
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[Service]
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Type=simple
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User=root
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WorkingDirectory=/opt/rk3588-agent
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ExecStart=/opt/rk3588-agent/rk3588-agent --config /opt/rk3588-agent/agent.config.json
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Restart=always
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RestartSec=2
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LimitNOFILE=65535
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[Install]
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WantedBy=multi-user.target
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EOF
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3) 启动 + 开机自启
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sh
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sudo systemctl daemon-reload
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sudo systemctl enable --now rk3588-agent
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1) 查看状态与日志
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sh
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sudo systemctl status rk3588-agent --no-pager
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sudo journalctl -u rk3588-agent -f
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1) 停止/重启
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sh
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sudo systemctl stop rk3588-agent
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sudo systemctl restart rk3588-agent
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这样运行后，SSH 断开不会影响进程（由 systemd 托管）。如果你的 agent.config.json 里有相对路径（如 models 目录），记得写成绝对路径，或放到
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/opt/rk3588-agent/ 并按配置调整。
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## 后端启动命令
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go run .\cmd\managerd\main.go .\managerd.json
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##查看npu占用
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sudo watch -n 1 cat /sys/kernel/debug/rknpu/load
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.\minio.exe server E:\minio\data --address ":9000" --console-address ":9001"
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### 转onnx
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python scripts/pt2rknn_yolov8.py pt2onnx --pt yolov8n.pt --imgsz 640
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### 转rknn
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python scripts/pt2rknn_yolov8.py onnx2rknn --onnx yolov8n.onnx --out models/object_det_yolov8n_coco_640_rk3588.rknn --imgsz 640
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