init rk1808 docker fireleave deploy scripts

.gitignore

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+lib/

Dockerfile

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+FROM debian:bullseye-slim
+
+# 【极简设置时区：不装 tzdata！】
+RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime && \
+    echo "Asia/Shanghai" > /etc/timezone
+
+# 复制 deb 包到容器中
+COPY mp4-merge_0.1.11-1_arm64.deb /tmp/
+
+# 安装 deb 包（使用 dpkg 安装，如果依赖有问题会自动修复）
+RUN dpkg -i /tmp/mp4-merge_0.1.11-1_arm64.deb || (apt-get update && apt-get install -f -y)
+
+# 复制模型文件（这是必须的）
+COPY models/ /usr/local/models/
+
+# 复制启动脚本
+COPY start.sh /usr/local/start.sh
+RUN chmod +x /usr/local/start.sh
+
+WORKDIR /usr/local/models
+RUN chmod +x yolov5
+
+CMD ["/usr/local/start.sh"]
+

Dockerfile_bak

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+FROM debian:bullseye-slim
+
+# 复制模型文件（这是必须的）
+COPY models/ /usr/local/models/
+
+# 复制启动脚本
+COPY start.sh /usr/local/start.sh
+RUN chmod +x /usr/local/start.sh
+
+WORKDIR /usr/local/models
+RUN chmod +x yolov5
+
+CMD ["/usr/local/start.sh"]

build.sh

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+#!/bin/bash
+
+set -e
+
+echo "=== RK1808 NPU Docker Build Script ==="
+
+# 清理之前的构建
+echo "=== Cleaning previous build ==="
+rm -rf lib
+mkdir -p lib/usr/lib
+mkdir -p lib/usr/bin
+
+# 只复制 Rockchip 特定的 NPU 库（系统没有的）
+echo "=== Copying NPU-specific libraries ==="
+cp /usr/lib/librknn_api.so lib/usr/lib/
+cp /usr/lib/librknn_runtime.so lib/usr/lib/
+cp /usr/lib/librockx.so lib/usr/lib/
+cp /usr/lib/libVSC.so lib/usr/lib/
+cp /usr/lib/libGAL.so lib/usr/lib/
+cp /usr/lib/libArchModelSw.so lib/usr/lib/
+cp /usr/lib/libNN*.so lib/usr/lib/ 2>/dev/null || true
+cp /usr/lib/libOpenCL.so* lib/usr/lib/ 2>/dev/null || true
+cp /usr/lib/libOpenVX.so* lib/usr/lib/ 2>/dev/null || true
+cp /usr/lib/librockchip_mpp.so* lib/usr/lib/ 2>/dev/null || true
+cp /usr/lib/librga.so* lib/usr/lib/ 2>/dev/null || true
+
+# 复制 ffmpeg（如果宿主机有特殊版本）
+cp /usr/bin/ffmpeg lib/usr/bin/
+
+echo "=== Copied files ==="
+ls -la lib/usr/lib/
+
+# 构建 Docker 镜像
+echo "=== Building Docker image ==="
+docker build -t fire_leave .
+
+echo "=== Build successful! ==="

demo

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+方案1：修改挂载点，不覆盖应用目录
+bash
+docker run -it --rm \
+  --device /dev/galcore \
+  --device /dev/dri/card0 \
+  --device /dev/vpu_service \
+  --device /dev/rga \
+  -v /lib/npu:/lib/npu \
+  -v /usr/bin/:/usr/bin:ro \
+  -v /usr/lib/:/usr/lib:ro \
+  -v /usr/share/:/usr/share:ro \
+  -v /lib/:/lib:ro \
+  -v /etc/ld.so.cache:/etc/ld.so.cache:ro \
+  --privileged \
+  rk1808-infer
+方案2：使用数据卷或绑定挂载应用目录
+bash
+docker run -it --rm \
+  --device /dev/galcore \
+  --device /dev/dri/card0 \
+  --device /dev/vpu_service \
+  --device /dev/rga \
+  -v /lib/npu:/lib/npu \
+  -v /usr/:/host_usr:ro \
+  -v /lib/:/host_lib:ro \
+  -v /usr/local/rk1808-docker/models/:/usr/local/models:ro \
+  --privileged \
+  rk1808-infer

deploy_fire_leave.sh

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+#!/bin/bash
+set -e
+
+PROJECT_DIR="/usr/local/rk1808-docker"
+IMAGE_NAME="fire_leave:latest"
+
+echo "========== fire_leave 项目部署 =========="
+
+if [ "$(id -u)" != "0" ]; then
+  echo "请使用 root 用户执行"
+  exit 1
+fi
+
+cd "$PROJECT_DIR"
+
+PROJECT_OK=1
+LIB_OK=1
+DEVICE_OK=1
+BUILD_OK=0
+RUN_SCRIPT_OK=0
+
+echo "[1/6] 检查项目文件"
+
+for file in Dockerfile start.sh mp4-merge_0.1.11-1_arm64.deb models/yolov5 rundocker.sh; do
+  if [ -e "$file" ]; then
+    echo "存在: $file"
+  else
+    echo "缺失: $file"
+    PROJECT_OK=0
+  fi
+done
+
+if [ "$PROJECT_OK" -ne 1 ]; then
+  echo "项目文件不完整，终止部署"
+  exit 1
+fi
+
+chmod +x start.sh
+chmod +x models/yolov5
+chmod +x rundocker.sh
+RUN_SCRIPT_OK=1
+
+echo "[2/6] 检查 yolov5 动态库依赖"
+
+if ldd models/yolov5 >/tmp/yolov5_ldd.txt 2>&1; then
+  cat /tmp/yolov5_ldd.txt | grep -i "avformat\|avcodec\|avutil\|swscale\|swresample" || true
+
+  if grep -q "not found" /tmp/yolov5_ldd.txt; then
+    echo "存在缺失动态库:"
+    grep "not found" /tmp/yolov5_ldd.txt
+    LIB_OK=0
+  else
+    echo "yolov5 动态库检查通过"
+  fi
+else
+  echo "ldd 检查失败"
+  LIB_OK=0
+fi
+
+echo "[3/6] 检查设备节点"
+
+for dev in /dev/galcore /dev/rga /dev/vpu_service /dev/dri/card0; do
+  if [ -e "$dev" ]; then
+    echo "存在: $dev"
+  else
+    echo "缺失: $dev"
+    DEVICE_OK=0
+  fi
+done
+
+if [ -d /lib/npu ]; then
+  echo "存在: /lib/npu"
+else
+  echo "缺失: /lib/npu"
+  DEVICE_OK=0
+fi
+
+if [ "$LIB_OK" -ne 1 ]; then
+  echo "动态库异常，终止部署"
+  exit 1
+fi
+
+if [ "$DEVICE_OK" -ne 1 ]; then
+  echo "设备节点异常，终止部署"
+  exit 1
+fi
+
+echo "[4/6] 构建 Docker 镜像"
+
+if docker build -t "$IMAGE_NAME" .; then
+  BUILD_OK=1
+  echo "Docker 镜像构建成功: $IMAGE_NAME"
+else
+  BUILD_OK=0
+  echo "Docker 镜像构建失败"
+  exit 1
+fi
+
+echo "[5/6] 检查 rundocker.sh"
+
+if [ -f rundocker.sh ]; then
+  chmod +x rundocker.sh
+  RUN_SCRIPT_OK=1
+  echo "rundocker.sh 存在，已设置可执行权限"
+else
+  RUN_SCRIPT_OK=0
+  echo "rundocker.sh 不存在"
+fi
+
+echo "[6/6] 检查镜像"
+
+docker images | grep fire_leave || true
+
+echo
+echo "========== 部署结果汇总 =========="
+
+if [ "$PROJECT_OK" -eq 1 ]; then
+  echo "项目文件: 正常"
+else
+  echo "项目文件: 异常"
+fi
+
+if [ "$LIB_OK" -eq 1 ]; then
+  echo "yolov5 动态库: 正常"
+else
+  echo "yolov5 动态库: 异常"
+fi
+
+if [ "$DEVICE_OK" -eq 1 ]; then
+  echo "设备节点/NPU目录: 正常"
+else
+  echo "设备节点/NPU目录: 异常"
+fi
+
+if [ "$BUILD_OK" -eq 1 ]; then
+  echo "Docker 镜像构建: 成功"
+else
+  echo "Docker 镜像构建: 失败"
+fi
+
+if docker image inspect "$IMAGE_NAME" >/dev/null 2>&1; then
+  echo "Docker 镜像存在: $IMAGE_NAME"
+else
+  echo "Docker 镜像不存在: $IMAGE_NAME"
+fi
+
+if [ "$RUN_SCRIPT_OK" -eq 1 ]; then
+  echo "启动脚本: 正常 rundocker.sh"
+else
+  echo "启动脚本: 缺失 rundocker.sh"
+fi
+
+echo
+echo "下一步操作:"
+echo "  ./rundocker.sh"
+
+echo "========== fire_leave 项目部署完成 =========="

init_host.sh

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+#!/bin/bash
+set -e
+
+echo "========== RK1808 Docker 宿主机初始化 =========="
+
+if [ "$(id -u)" != "0" ]; then
+  echo "请使用 root 用户执行"
+  exit 1
+fi
+
+DOCKER_MIRROR="https://docker.1panel.live"
+CODENAME=$(. /etc/os-release && echo "$VERSION_CODENAME")
+ARCH=$(dpkg --print-architecture)
+KERNEL=$(uname -r)
+
+echo "[1/8] 系统信息"
+uname -a
+cat /etc/os-release || true
+echo "ARCH=$ARCH"
+echo "CODENAME=$CODENAME"
+echo "KERNEL=$KERNEL"
+
+echo "[2/8] 安装基础依赖"
+apt update
+apt install -y ca-certificates curl gnupg lsb-release apt-transport-https kmod
+
+echo "[3/8] 配置 Docker APT 源"
+install -m 0755 -d /etc/apt/keyrings
+
+try_docker_repo() {
+  local name="$1"
+  local base_url="$2"
+
+  echo "尝试 Docker 源: $name -> $base_url"
+
+  rm -f /etc/apt/keyrings/docker.asc
+  rm -f /etc/apt/sources.list.d/docker.sources
+
+  if ! curl -L --connect-timeout 15 --retry 3 --retry-delay 2 \
+    "$base_url/gpg" -o /etc/apt/keyrings/docker.asc; then
+    echo "$name GPG 下载失败"
+    return 1
+  fi
+
+  chmod a+r /etc/apt/keyrings/docker.asc
+
+  cat > /etc/apt/sources.list.d/docker.sources <<EOF
+Types: deb
+URIs: $base_url
+Suites: $CODENAME
+Components: stable
+Architectures: $ARCH
+Signed-By: /etc/apt/keyrings/docker.asc
+EOF
+
+  if apt update; then
+    echo "$name Docker 源配置成功"
+    return 0
+  else
+    echo "$name apt update 失败"
+    return 1
+  fi
+}
+
+if try_docker_repo "清华源" "https://mirrors.tuna.tsinghua.edu.cn/docker-ce/linux/debian"; then
+  echo "使用清华 Docker 源"
+elif try_docker_repo "阿里源" "https://mirrors.aliyun.com/docker-ce/linux/debian"; then
+  echo "使用阿里 Docker 源"
+elif try_docker_repo "Docker 官方源" "https://download.docker.com/linux/debian"; then
+  echo "使用 Docker 官方源"
+else
+  echo "所有 Docker 源配置失败，请检查网络"
+  exit 1
+fi
+
+echo "[4/8] 安装 Docker"
+apt install -y docker-ce docker-ce-cli containerd.io docker-buildx-plugin docker-compose-plugin
+
+echo "[5/8] 配置 Docker 镜像加速和 overlay2 存储驱动"
+mkdir -p /etc/docker
+
+cat > /etc/docker/daemon.json <<EOF
+{
+  "registry-mirrors": [
+    "$DOCKER_MIRROR"
+  ],
+  "log-driver": "none",
+  "features": {
+    "containerd-snapshotter": false
+  },
+  "storage-driver": "overlay2"
+}
+EOF
+
+systemctl daemon-reload
+systemctl enable docker
+systemctl restart docker
+
+echo "当前 Docker 存储驱动:"
+docker info | grep -E "Storage Driver|driver-type" -A3 || true
+
+echo "[6/8] 检查 FFmpeg 动态库"
+
+REQUIRED_LIBS="
+/lib/libavformat.so.58
+/lib/libavcodec.so.58
+/lib/libavutil.so.56
+/lib/libswresample.so.3
+/lib/libswscale.so.5
+"
+
+for lib in $REQUIRED_LIBS; do
+  if [ -e "$lib" ]; then
+    echo "存在: $lib"
+  else
+    echo "缺失: $lib"
+  fi
+done
+
+echo "查找 libswscale:"
+find /lib /usr/lib -name "libswscale.so*" || true
+
+if [ ! -e /lib/libswscale.so.5 ] && [ ! -e /usr/lib/libswscale.so.5 ]; then
+  if [ -e /usr/lib/libswscale.so.5.7.100 ]; then
+    echo "修复 libswscale.so.5 -> /usr/lib/libswscale.so.5.7.100"
+    ln -sf /usr/lib/libswscale.so.5.7.100 /usr/lib/libswscale.so.5
+    ln -sf /usr/lib/libswscale.so.5.7.100 /lib/libswscale.so.5 || true
+    ldconfig || true
+  elif [ -e /lib/libswscale.so.5.7.100 ]; then
+    echo "修复 libswscale.so.5 -> /lib/libswscale.so.5.7.100"
+    ln -sf /lib/libswscale.so.5.7.100 /lib/libswscale.so.5
+    ldconfig || true
+  else
+    echo "警告: 未找到 libswscale.so.5.7.100，后续可能需要手动补 FFmpeg 库"
+  fi
+fi
+
+echo "[7/8] 检查并加载 RK1808 设备节点"
+
+if [ ! -e /dev/galcore ]; then
+  echo "/dev/galcore 不存在，尝试加载 galcore.ko"
+
+  if [ -e "/lib/modules/$KERNEL/galcore.ko" ]; then
+    insmod "/lib/modules/$KERNEL/galcore.ko" || true
+  elif [ -e "/usr/lib/modules/$KERNEL/galcore.ko" ]; then
+    insmod "/usr/lib/modules/$KERNEL/galcore.ko" || true
+  else
+    echo "未找到 galcore.ko"
+  fi
+fi
+
+if lsmod | grep -q "galcore"; then
+  echo "galcore 模块已加载"
+  echo "galcore" > /etc/modules-load.d/galcore.conf
+  depmod || true
+
+  if [ -e /dev/galcore ]; then
+    echo "存在: /dev/galcore"
+  else
+    echo "警告: galcore 模块已加载，但 /dev/galcore 不存在"
+  fi
+else
+  echo "警告: galcore 模块未加载"
+fi
+
+for dev in /dev/rga /dev/vpu_service /dev/dri/card0; do
+  if [ -e "$dev" ]; then
+    echo "存在: $dev"
+  else
+    echo "缺失: $dev"
+  fi
+done
+
+if [ -d /lib/npu ]; then
+  echo "存在: /lib/npu"
+else
+  echo "缺失: /lib/npu"
+fi
+
+echo "[8/8] 输出 Docker 信息"
+docker version
+
+echo
+docker info | grep -E "Server Version|Storage Driver|Cgroup|Kernel Version|Operating System|Architecture|Registry Mirrors" -A5 || true
+
+echo
+echo "========== 初始化结果汇总 =========="
+
+if command -v docker >/dev/null 2>&1; then
+  echo "Docker: 已安装"
+else
+  echo "Docker: 未安装"
+fi
+
+if docker info >/dev/null 2>&1; then
+  echo "Docker 服务: 正常"
+else
+  echo "Docker 服务: 异常"
+fi
+
+if docker info 2>/dev/null | grep -q "$DOCKER_MIRROR"; then
+  echo "Docker 镜像加速: 已配置 $DOCKER_MIRROR"
+else
+  echo "Docker 镜像加速: 未确认"
+fi
+
+if docker info 2>/dev/null | grep -q "Storage Driver: overlay2"; then
+  echo "Docker 存储驱动: 正常 overlay2"
+else
+  echo "Docker 存储驱动: 异常，未使用 overlay2"
+fi
+
+for lib in $REQUIRED_LIBS; do
+  if [ -e "$lib" ]; then
+    echo "FFmpeg库: 正常 $lib"
+  else
+    echo "FFmpeg库: 缺失 $lib"
+  fi
+done
+
+for dev in /dev/galcore /dev/rga /dev/vpu_service /dev/dri/card0; do
+  if [ -e "$dev" ]; then
+    echo "设备节点: 正常 $dev"
+  else
+    echo "设备节点: 缺失 $dev"
+  fi
+done
+
+if [ -d /lib/npu ]; then
+  echo "NPU目录: 正常 /lib/npu"
+else
+  echo "NPU目录: 缺失 /lib/npu"
+fi
+
+echo "========== 初始化完成 =========="

models/20260608.txt

@@ -0,0 +1,2 @@
+
+(/home/alex/work/cpp/rk1808-yolov5-inference/main.cpp:329 | main)[2026-06-08 18:14:57] DEBU > do init log

models/fire_check.txt

@@ -0,0 +1 @@
+fire

models/fire_check_code.txt

@@ -0,0 +1 @@
+1

models/model.txt

@@ -0,0 +1,80 @@
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person
+person

models/model_code.txt

@@ -0,0 +1,80 @@
+1
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
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+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0
+0

models/release/HCNetSDK_Log_Switch.xml

@@ -0,0 +1,12 @@
+<?xml version="1.0" encoding="GB2312"?>
+<SdkLocal>
+	<SdkLog>
+        <logLevel>3</logLevel><!--req, 1-ERROR, 2-DEBUG, 3-INFO-->
+        <logDirectory>./SDKLOG/</logDirectory><!--the end of the string must be '/'-->
+        <autoDelete>true</autoDelete><!--true: There are less than 10 files in the directory, it will be auto deleted by sdk when the files are more than 10; false: No upper limit to the number of log files-->
+    </SdkLog>
+	<HeartbeatCfg>
+		<Interval>120</Interval> <!-- 心跳时间间隔，单位秒，等于0，使用默认值120s，取值范围为[30, 120] 小于30s，间隔为30s，大于120s，间隔为120s-->
+		<Count>1</Count> 	<!-- 触发异常回调需要心跳交互异常的次数，等于0，使用默认值1次-->
+	</HeartbeatCfg>
+</SdkLocal>

models/release/SDKLOG/SdkLog_1_W.log

@@ -0,0 +1,5 @@
+[2026-06-01 17:50:04.255][INF] [0]CLongConfigSession::Stop in
+[2026-06-01 17:50:04.327][INF] COM_Logout[0][0]
+[2026-06-01 17:50:04.329][DBG] CUserMgr::UnRegisterHeartProxy[0]
+[2026-06-01 17:50:04.332][INF] Private connect 192.168.80.64:8000 sock=7 this=0xb4421794 cmd=0x10100 port=43068
+[2026-06-01 17:50:04.380][INF] CTransUnitMgr::UnloadTransUnitLib

models/release/run_thermometry.sh

@@ -0,0 +1,10 @@
+#!/bin/bash
+
+# 切换到脚本所在目录
+cd "$(dirname "$0")"
+
+# 设置库文件路径为当前目录
+export LD_LIBRARY_PATH=".:$LD_LIBRARY_PATH"
+
+# 执行程序并传递所有参数
+./thermometry.exe "$@"

models/release/run_thermometry.sh-bak

@@ -0,0 +1,44 @@
+#!/bin/bash
+# run_thermometry.sh
+
+# 记录启动日志
+echo "[$(date '+%Y-%m-%d %H:%M:%S')] Starting thermometry with args: $@" >> /data/logs/thermometry_start.log
+
+# 解析参数
+RTSP_URL=""
+TCP_PORT=""
+CHANNEL="0"
+
+while [[ $# -gt 0 ]]; do
+    case $1 in
+        -s)
+            RTSP_URL="$2"
+            shift 2
+            ;;
+        -t)
+            TCP_PORT="$2"
+            shift 2
+            ;;
+        -c)
+            CHANNEL="$2"
+            shift 2
+            ;;
+        *)
+            shift
+            ;;
+    esac
+done
+
+echo "[$(date '+%Y-%m-%d %H:%M:%S')] RTSP: $RTSP_URL, TCP Port: $TCP_PORT, Channel: $CHANNEL" >> /data/logs/thermometry_start.log
+
+# 检查参数
+if [ -z "$RTSP_URL" ] || [ -z "$TCP_PORT" ]; then
+    echo "Usage: $0 -s <rtsp_url> -t <tcp_port> [-c <channel>]"
+    exit 1
+fi
+
+# 启动温度程序
+cd /usr/local/rk1808-docker/models
+./thermometry -s "$RTSP_URL" -t "$TCP_PORT" -c "$CHANNEL"
+
+echo "[$(date '+%Y-%m-%d %H:%M:%S')] Thermometry exited with code: $?" >> /data/logs/thermometry_start.log

rundocker.sh

@@ -0,0 +1,11 @@
+docker run -it --rm \
+	--device /dev/galcore \
+	--device /dev/dri/card0 \
+	--device /dev/vpu_service \
+	--device /dev/rga \
+	-v /lib/npu:/lib/npu \
+	-v /lib:/lib:ro \
+	-v /usr/lib:/usr/lib:ro \
+	--privileged \
+	fire_leave \
+	/bin/bash

start.sh

@@ -0,0 +1,8 @@
+#!/bin/sh 
+set -e 
+
+echo "Starting efka_flow_new inference..." 
+cd /usr/local/models 
+export LD_LIBRARY_PATH=/usr/lib:$LD_LIBRARY_PATH 
+
+./fireleave_tool