* Upgrade presets for CUDA 12.3.1, cuDNN 8.9.7, NCCL 2.19.3, nvCOMP …

…3.0.5, DepthAI 2.24.0
bytedeco · Dec 29, 2023 · c03017a · c03017a
1 parent 6e36cac
commit c03017a
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diff --git a/.github/actions/deploy-ubuntu/action.yml b/.github/actions/deploy-ubuntu/action.yml
@@ -31,29 +31,29 @@ runs:
           export ARCH=arm64
           export ARCH_CUDA=sbsa
           export PREFIX=aarch64-linux-gnu
-          export CUDA=cuda-repo-rhel8-12-3-local-12.3.0_545.23.06-1.aarch64.rpm
-          export CUDNN=8.9.5.29-1.cuda12.2.aarch64
-          export NCCL=2.18.5-1+cuda12.2.aarch64
-          export NVCOMP=nvcomp_3.0.4_SBSA_12.x
+          export CUDA=cuda-repo-rhel8-12-3-local-12.3.1_545.23.08-1.aarch64.rpm
+          export CUDNN=8.9.7.29-1.cuda12.2.aarch64
+          export NCCL=2.19.3-1+cuda12.3.aarch64
+          export NVCOMP=nvcomp_3.0.5_SBSA_12.x
           export USERLAND_BUILDME="buildme --aarch64"
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-ppc64le" ]]; then
           export ARCH=ppc64el
           export ARCH_CUDA=ppc64le
           export PREFIX=powerpc64le-linux-gnu
-          export CUDA=cuda-repo-rhel8-12-3-local-12.3.0_545.23.06-1.ppc64le.rpm
-          export CUDNN=8.9.5.29-1.cuda12.2.ppc64le
-          export NCCL=2.18.5-1+cuda12.2.ppc64le
+          export CUDA=cuda-repo-rhel8-12-3-local-12.3.1_545.23.08-1.ppc64le.rpm
+          export CUDNN=8.9.7.29-1.cuda12.2.ppc64le
+          export NCCL=2.19.3-1+cuda12.3.ppc64le
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-x86" ]]; then
           export ARCH=i386
           export PREFIX=i686-linux-gnu
         elif [[ "$CI_DEPLOY_PLATFORM" == "linux-x86_64" ]]; then
           export ARCH=amd64
           export ARCH_CUDA=x86_64
           export PREFIX=x86_64-linux-gnu
-          export CUDA=cuda-repo-rhel8-12-3-local-12.3.0_545.23.06-1.x86_64.rpm
-          export CUDNN=8.9.5.29-1.cuda12.2.x86_64
-          export NCCL=2.18.5-1+cuda12.2.x86_64
-          export NVCOMP=nvcomp_3.0.4_x86_64_12.x
+          export CUDA=cuda-repo-rhel8-12-3-local-12.3.1_545.23.08-1.x86_64.rpm
+          export CUDNN=8.9.7.29-1.cuda12.2.x86_64
+          export NCCL=2.19.3-1+cuda12.3.x86_64
+          export NVCOMP=nvcomp_3.0.5_x86_64_12.x
         fi
         echo "ARCH=$ARCH" >> $GITHUB_ENV
         echo "PREFIX=$PREFIX" >> $GITHUB_ENV
@@ -156,7 +156,7 @@ runs:
           $SUDO mv /usr/lib64/libcudnn* /usr/lib64/libnccl* /usr/local/cuda/lib64/
 
           if [[ -n ${NVCOMP:-} ]]; then
-            curl -LO https://developer.download.nvidia.com/compute/nvcomp/3.0.4/local_installers/$NVCOMP.tgz
+            curl -LO https://developer.download.nvidia.com/compute/nvcomp/3.0.5/local_installers/$NVCOMP.tgz
             $SUDO tar -xvf nvcomp_*.tgz -C /usr/local/cuda/lib64/ --strip-components=1 lib/
             $SUDO tar -xvf nvcomp_*.tgz -C /usr/local/cuda/include/ --strip-components=1 include/
             rm -f $NVCOMP.tgz

diff --git a/.github/actions/deploy-windows/action.yml b/.github/actions/deploy-windows/action.yml
@@ -94,27 +94,27 @@ runs:
         if "%CI_DEPLOY_PLATFORM%"=="windows-x86_64" if not "%CI_DEPLOY_NEED_CUDA%"=="" (
           echo Installing CUDA, cuDNN, nvCOMP, etc
           curl -LO https://developer.download.nvidia.com/compute/cuda/11.8.0/local_installers/cuda_11.8.0_522.06_windows.exe
-          curl -LO https://developer.download.nvidia.com/compute/cuda/12.3.0/local_installers/cuda_12.3.0_545.84_windows.exe
+          curl -LO https://developer.download.nvidia.com/compute/cuda/12.3.1/local_installers/cuda_12.3.1_546.12_windows.exe
           rem curl -LO https://developer.download.nvidia.com/compute/redist/cudnn/v8.8.0/local_installers/12.0/cudnn_8.8.0.121_windows.exe
           python -m gdown.cli https://drive.google.com/uc?id=1-5QHvwDZC_1rhn5W6fRHNWicXRPtqt31
           curl -LO http://www.winimage.com/zLibDll/zlib123dllx64.zip
-          curl -LO https://developer.download.nvidia.com/compute/nvcomp/3.0.4/local_installers/nvcomp_3.0.4_windows_12.x.zip
+          curl -LO https://developer.download.nvidia.com/compute/nvcomp/3.0.5/local_installers/nvcomp_3.0.5_windows_12.x.zip
           cuda_11.8.0_522.06_windows.exe -s
           bash -c "rm -Rf 'C:/Program Files/NVIDIA GPU Computing Toolkit/CUDA/v11.8'"
           bash -c "mv 'C:/Program Files/NVIDIA Corporation/NvToolsExt' 'C:/Program Files/NVIDIA Corporation/NvToolsExt_old'"
-          cuda_12.3.0_545.84_windows.exe -s
+          cuda_12.3.1_546.12_windows.exe -s
           bash -c "mv 'C:/Program Files/NVIDIA Corporation/NvToolsExt_old' 'C:/Program Files/NVIDIA Corporation/NvToolsExt'"
           bash -c "ls 'C:/Program Files/NVIDIA Corporation/NvToolsExt'"
           rem cudnn_8.8.0.121_windows.exe -s
-          unzip cudnn-windows-x86_64-8.9.5.29_cuda12-archive.zip
+          unzip cudnn-windows-x86_64-8.9.7.29_cuda12-archive.zip
           unzip zlib123dllx64.zip
-          unzip nvcomp_3.0.4_windows_12.x.zip
+          unzip nvcomp_3.0.5_windows_12.x.zip
           rem move "%ProgramFiles%\NVIDIA\CUDNN\v8.8\bin\*.dll" "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\bin"
           rem move "%ProgramFiles%\NVIDIA\CUDNN\v8.8\include\*.h" "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\include"
           rem move "%ProgramFiles%\NVIDIA\CUDNN\v8.8\lib\x64\*.lib" "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\lib\x64"
-          move cudnn-windows-x86_64-8.9.5.29_cuda12-archive\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\bin"
-          move cudnn-windows-x86_64-8.9.5.29_cuda12-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\include"
-          move cudnn-windows-x86_64-8.9.5.29_cuda12-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\lib\x64"
+          move cudnn-windows-x86_64-8.9.7.29_cuda12-archive\bin\*.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\bin"
+          move cudnn-windows-x86_64-8.9.7.29_cuda12-archive\include\*.h "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\include"
+          move cudnn-windows-x86_64-8.9.7.29_cuda12-archive\lib\x64\*.lib "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\lib\x64"
           move dll_x64\zlibwapi.dll "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\bin"
           move include\* "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\include"
           move include\gdeflate "%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\include"
@@ -229,7 +229,7 @@ runs:
           set "CUDA_PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3"
           set "CUDA_PATH_V12_3=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3"
           set "PATH=%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\bin;%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\libnvvp;%PATH%"
-          echo CUDA Version 12.3.0>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\version.txt"
+          echo CUDA Version 12.3.1>"%ProgramFiles%\NVIDIA GPU Computing Toolkit\CUDA\v12.3\version.txt"
         )
         set "CCACHE_DIR=%USERPROFILE%\ccache"
         set "PATH=C:\hostedtoolcache\windows\Python\3.9.13\x64;C:\msys64\%MSYSTEM%\bin;C:\msys64\usr\bin;%ProgramFiles%\apache-maven-3.6.3\bin;%PATH%"

diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,11 +1,11 @@
 
  * Include `timeapi.h` for system API of Windows ([pull #1447](https://github.com/bytedeco/javacpp-presets/pull/1447))
  * Add Android and Windows builds to presets for DepthAI ([pull #1441](https://github.com/bytedeco/javacpp-presets/pull/1441))
- * Add presets for nvCOMP 3.0.4 ([pull #1434](https://github.com/bytedeco/javacpp-presets/pull/1434)), SentencePiece 0.1.99 ([pull #1384](https://github.com/bytedeco/javacpp-presets/pull/1384))
+ * Add presets for nvCOMP 3.0.5 ([pull #1434](https://github.com/bytedeco/javacpp-presets/pull/1434)), SentencePiece 0.1.99 ([pull #1384](https://github.com/bytedeco/javacpp-presets/pull/1384))
  * Refactor and improve presets for PyTorch ([pull #1360](https://github.com/bytedeco/javacpp-presets/pull/1360))
  * Include `mkl_lapack.h` header file in presets for MKL ([issue #1388](https://github.com/bytedeco/javacpp-presets/issues/1388))
  * Map new higher-level C++ API of Triton Inference Server ([pull #1361](https://github.com/bytedeco/javacpp-presets/pull/1361))
- * Upgrade presets for OpenCV 4.8.1, FFmpeg 6.1, HDF5 1.14.3, MKL 2024.0, DNNL 3.3.3, OpenBLAS 0.3.25, ARPACK-NG 3.9.1, CPython 3.12.1, NumPy 1.26.2, SciPy 1.11.4, LLVM 17.0.6, Leptonica 1.83.1, Tesseract 5.3.3, CUDA 12.3.0, cuDNN 8.9.5, NCCL 2.18.5, PyTorch 2.1.2 ([pull #1426](https://github.com/bytedeco/javacpp-presets/pull/1426)), TensorFlow Lite 2.15.0, Triton Inference Server 2.38.0, DepthAI 2.23.0, ONNX 1.15.0, ONNX Runtime 1.16.3, TVM 0.14.0, and their dependencies
+ * Upgrade presets for OpenCV 4.8.1, FFmpeg 6.1, HDF5 1.14.3, MKL 2024.0, DNNL 3.3.3, OpenBLAS 0.3.25, ARPACK-NG 3.9.1, CPython 3.12.1, NumPy 1.26.2, SciPy 1.11.4, LLVM 17.0.6, Leptonica 1.83.1, Tesseract 5.3.3, CUDA 12.3.1, cuDNN 8.9.7, NCCL 2.19.3, PyTorch 2.1.2 ([pull #1426](https://github.com/bytedeco/javacpp-presets/pull/1426)), TensorFlow Lite 2.15.0, Triton Inference Server 2.38.0, DepthAI 2.24.0, ONNX 1.15.0, ONNX Runtime 1.16.3, TVM 0.14.0, and their dependencies
 
 ### June 6, 2023 version 1.5.9
  * Virtualize `nvinfer1::IGpuAllocator` from TensorRT to allow customization ([pull #1367](https://github.com/bytedeco/javacpp-presets/pull/1367))

diff --git a/README.md b/README.md
@@ -230,7 +230,7 @@ Each child module in turn relies by default on the included [`cppbuild.sh` scrip
  * TensorRT 8.6.x  https://developer.nvidia.com/tensorrt
  * Triton Inference Server 2.38.x  https://developer.nvidia.com/nvidia-triton-inference-server
  * The Arcade Learning Environment 0.8.x  https://github.com/mgbellemare/Arcade-Learning-Environment
- * DepthAI 2.23.x  https://github.com/luxonis/depthai-core
+ * DepthAI 2.24.x  https://github.com/luxonis/depthai-core
  * ONNX 1.15.x  https://github.com/onnx/onnx
  * nGraph 0.26.0  https://github.com/NervanaSystems/ngraph
  * ONNX Runtime 1.16.x  https://github.com/microsoft/onnxruntime

diff --git a/cuda/README.md b/cuda/README.md
@@ -25,10 +25,10 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * CUDA 12.3.0  https://developer.nvidia.com/cuda-zone
- * cuDNN 8.9.5  https://developer.nvidia.com/cudnn
- * NCCL 2.18.5  https://developer.nvidia.com/nccl
- * nvCOMP 3.0.4  https://developer.nvidia.com/nvcomp
+ * CUDA 12.3.1  https://developer.nvidia.com/cuda-zone
+ * cuDNN 8.9.7  https://developer.nvidia.com/cudnn
+ * NCCL 2.19.3  https://developer.nvidia.com/nccl
+ * nvCOMP 3.0.5  https://developer.nvidia.com/nvcomp
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 

diff --git a/cuda/src/main/java/org/bytedeco/cuda/presets/cusparse.java b/cuda/src/main/java/org/bytedeco/cuda/presets/cusparse.java
@@ -35,7 +35,7 @@
  */
 @Properties(inherit = cudart.class, value = {
     @Platform(include = "<cusparse.h>", link = "cusparse@.12", preload = "nvJitLink@.12"),
-    @Platform(value = "windows-x86_64", preload = {"cusparse64_12", "nvJitLink_120_0"})},
+    @Platform(value = "windows-x86_64", preload = {"nvJitLink_120_0", "cusparse64_12"})},
         target = "org.bytedeco.cuda.cusparse", global = "org.bytedeco.cuda.global.cusparse")
 @NoException
 public class cusparse implements InfoMapper {

diff --git a/depthai/README.md b/depthai/README.md
@@ -9,7 +9,7 @@ Introduction
 ------------
 This directory contains the JavaCPP Presets module for:
 
- * DepthAI 2.23.0  https://luxonis.com/depthai
+ * DepthAI 2.24.0  https://luxonis.com/depthai
 
 Please refer to the parent README.md file for more detailed information about the JavaCPP Presets.
 
@@ -46,7 +46,7 @@ We can use [Maven 3](http://maven.apache.org/) to download and install automatic
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>depthai-platform</artifactId>
-            <version>2.23.0-1.5.10-SNAPSHOT</version>
+            <version>2.24.0-1.5.10-SNAPSHOT</version>
         </dependency>
         <dependency>
             <groupId>org.bytedeco</groupId>

diff --git a/depthai/cppbuild.sh b/depthai/cppbuild.sh
@@ -7,7 +7,7 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
-DEPTHAI_VERSION=2.23.0
+DEPTHAI_VERSION=2.24.0
 LIBUSB_VERSION=1.0.22
 download https://github.com/luxonis/depthai-core/releases/download/v$DEPTHAI_VERSION/depthai-core-v$DEPTHAI_VERSION.tar.gz depthai-core-v$DEPTHAI_VERSION.tar.gz
 download http://sourceforge.net/projects/libusb/files/libusb-1.0/libusb-$LIBUSB_VERSION/libusb-$LIBUSB_VERSION.tar.bz2/download libusb-$LIBUSB_VERSION.tar.bz2
@@ -131,14 +131,14 @@ case $PLATFORM in
         export CC="cl.exe"
         export CXX="cl.exe"
         sedinplace 's:BUILD_SHARED_LIBS=ON:BUILD_SHARED_LIBS=OFF:g' cmake/Hunter/config.cmake
-        "$CMAKE" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_INSTALL_LIBDIR="lib" -DDEPTHAI_ENABLE_BACKWARD=OFF -DBUILD_SHARED_LIBS=ON -DDEPTHAI_OPENCV_SUPPORT=ON .
+        "$CMAKE" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_INSTALL_LIBDIR="lib" -DDEPTHAI_ENABLE_BACKWARD=OFF -DBUILD_SHARED_LIBS=ON -DDEPTHAI_OPENCV_SUPPORT=ON -DOpenCV_DIR=$OPENCV_PATH .
         "$CMAKE" --build . --config Release --target install -j $MAKEJ
         ;;
     windows-x86_64)
         export CC="cl.exe"
         export CXX="cl.exe"
         sedinplace 's:BUILD_SHARED_LIBS=ON:BUILD_SHARED_LIBS=OFF:g' cmake/Hunter/config.cmake
-        "$CMAKE" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_INSTALL_LIBDIR="lib" -DDEPTHAI_ENABLE_BACKWARD=OFF -DBUILD_SHARED_LIBS=ON -DDEPTHAI_OPENCV_SUPPORT=ON .
+        "$CMAKE" -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DCMAKE_INSTALL_LIBDIR="lib" -DDEPTHAI_ENABLE_BACKWARD=OFF -DBUILD_SHARED_LIBS=ON -DDEPTHAI_OPENCV_SUPPORT=ON -DOpenCV_DIR=$OPENCV_PATH .
         "$CMAKE" --build . --config Release --target install -j $MAKEJ
         ;;
     *)

diff --git a/depthai/platform/pom.xml b/depthai/platform/pom.xml
@@ -12,7 +12,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>depthai-platform</artifactId>
-  <version>2.23.0-${project.parent.version}</version>
+  <version>2.24.0-${project.parent.version}</version>
   <name>JavaCPP Presets Platform for DepthAI</name>
 
   <properties>

diff --git a/depthai/pom.xml b/depthai/pom.xml
@@ -11,7 +11,7 @@
 
   <groupId>org.bytedeco</groupId>
   <artifactId>depthai</artifactId>
-  <version>2.23.0-${project.parent.version}</version>
+  <version>2.24.0-${project.parent.version}</version>
   <name>JavaCPP Presets for DepthAI</name>
 
   <dependencies>

diff --git a/depthai/samples/pom.xml b/depthai/samples/pom.xml
@@ -12,7 +12,7 @@
         <dependency>
             <groupId>org.bytedeco</groupId>
             <artifactId>depthai-platform</artifactId>
-            <version>2.23.0-1.5.10-SNAPSHOT</version>
+            <version>2.24.0-1.5.10-SNAPSHOT</version>
         </dependency>
         <dependency>
             <groupId>org.bytedeco</groupId>

diff --git a/depthai/src/gen/java/org/bytedeco/depthai/CalibrationHandler.java b/depthai/src/gen/java/org/bytedeco/depthai/CalibrationHandler.java
@@ -217,7 +217,10 @@ public class CalibrationHandler extends Pointer {
      * Get the Distortion Coefficients object
      *
      * @param cameraId Uses the cameraId to identify which distortion Coefficients to return.
-     * @return the distortion coefficients of the requested camera in this order: [k1,k2,p1,p2,k3,k4,k5,k6,s1,s2,s3,s4,τx,τy]
+     * @return the distortion coefficients of the requested camera in this order: [k1,k2,p1,p2,k3,k4,k5,k6,s1,s2,s3,s4,τx,τy] for CameraModel::Perspective
+     * or [k1, k2, k3, k4] for CameraModel::Fisheye
+     * see https://docs.opencv.org/4.5.4/d9/d0c/group__calib3d.html for Perspective model (Rational Polynomial Model)
+     * see https://docs.opencv.org/4.5.4/db/d58/group__calib3d__fisheye.html for Fisheye model
      */
     public native @StdVector FloatPointer getDistortionCoefficients(CameraBoardSocket cameraId);
     public native @StdVector FloatBuffer getDistortionCoefficients(@Cast("dai::CameraBoardSocket") int cameraId);

diff --git a/depthai/src/gen/java/org/bytedeco/depthai/CameraControl.java b/depthai/src/gen/java/org/bytedeco/depthai/CameraControl.java
@@ -176,6 +176,22 @@ public class CameraControl extends Buffer {
      */
     public native @ByRef CameraControl setAutoExposureCompensation(int compensation);
 
+    /**
+     * Set a command to specify the maximum exposure time limit for auto-exposure. By default
+     * the AE algorithm prioritizes increasing exposure over ISO, up to around frame-time
+     * (subject to further limits imposed by anti-banding)
+     * @param maxExposureTimeUs Maximum exposure time in microseconds
+     */
+    public native @ByRef CameraControl setAutoExposureLimit(@Cast("uint32_t") int maxExposureTimeUs);
+
+    /**
+     * Set a command to specify the maximum exposure time limit for auto-exposure. By default
+     * the AE algorithm prioritizes increasing exposure over ISO, up to around frame-time
+     * (subject to further limits imposed by anti-banding)
+     * @param maxExposureTime Maximum exposure time
+     */
+    public native @ByRef CameraControl setAutoExposureLimit(@ByVal @Cast("std::chrono::microseconds*") Pointer maxExposureTime);
+
     /**
      * Set a command to specify anti-banding mode. Anti-banding / anti-flicker
      * works in auto-exposure mode, by controlling the exposure time to be applied
@@ -202,7 +218,7 @@ public class CameraControl extends Buffer {
      * @param exposureTime Exposure time
      * @param sensitivityIso Sensitivity as ISO value, usual range 100..1600
      */
-    public native void setManualExposure(@ByVal @Cast("std::chrono::microseconds*") Pointer exposureTime, @Cast("uint32_t") int sensitivityIso);
+    public native @ByRef CameraControl setManualExposure(@ByVal @Cast("std::chrono::microseconds*") Pointer exposureTime, @Cast("uint32_t") int sensitivityIso);
 
     // White Balance
     /**
@@ -275,6 +291,20 @@ public class CameraControl extends Buffer {
     public native @ByRef CameraControl setEffectMode(RawCameraControl.EffectMode mode);
     public native @ByRef CameraControl setEffectMode(@Cast("dai::RawCameraControl::EffectMode") byte mode);
 
+    /**
+     * Set a command to specify control mode
+     * @param mode Control mode
+     */
+    public native @ByRef CameraControl setControlMode(RawCameraControl.ControlMode mode);
+    public native @ByRef CameraControl setControlMode(@Cast("dai::RawCameraControl::ControlMode") byte mode);
+
+    /**
+     * Set a command to specify capture intent mode
+     * @param mode Capture intent mode
+     */
+    public native @ByRef CameraControl setCaptureIntent(RawCameraControl.CaptureIntent mode);
+    public native @ByRef CameraControl setCaptureIntent(@Cast("dai::RawCameraControl::CaptureIntent") byte mode);
+
     // Functions to retrieve properties
     /**
      * Check whether command to capture a still is set

diff --git a/depthai/src/gen/java/org/bytedeco/depthai/Device.java b/depthai/src/gen/java/org/bytedeco/depthai/Device.java
@@ -97,6 +97,8 @@ public class Device extends DeviceBase {
         private native void allocate(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, UsbSpeed maxUsbSpeed);
         public Device(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, @Cast("dai::UsbSpeed") int maxUsbSpeed) { super((Pointer)null); allocate(config, devInfo, maxUsbSpeed); }
         private native void allocate(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, @Cast("dai::UsbSpeed") int maxUsbSpeed);
+        public Device(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, @Const @ByRef Path pathToCmd, @Cast("bool") boolean dumpOnly/*=false*/) { super((Pointer)null); allocate(config, devInfo, pathToCmd, dumpOnly); }
+        private native void allocate(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, @Const @ByRef Path pathToCmd, @Cast("bool") boolean dumpOnly/*=false*/);
         public Device(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, @Const @ByRef Path pathToCmd) { super((Pointer)null); allocate(config, devInfo, pathToCmd); }
         private native void allocate(@ByVal Config config, @Const @ByRef DeviceInfo devInfo, @Const @ByRef Path pathToCmd);
     /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */