Added Allied Visions Vimba API preset

opencv/cppbuild.sh

@@ -7,6 +7,8 @@ if [[ -z "$PLATFORM" ]]; then
     exit
 fi
 
+if ! [ -d "$PLATFORM$EXTENSION" ]; then
+
 OPENCV_VERSION=3.4.0
 download https://github.com/opencv/opencv/archive/$OPENCV_VERSION.tar.gz opencv-$OPENCV_VERSION.tar.gz
 download https://github.com/opencv/opencv_contrib/archive/$OPENCV_VERSION.tar.gz opencv_contrib-$OPENCV_VERSION.tar.gz
@@ -24,7 +26,7 @@ patch -Np1 < ../../../opencv_contrib.patch
 cd ../opencv-$OPENCV_VERSION
 patch -Np1 < ../../../opencv.patch
 
-BUILD_CONTRIB_X="-DBUILD_opencv_stereo=OFF -DBUILD_opencv_plot=ON -DBUILD_opencv_fuzzy=OFF -DBUILD_opencv_aruco=OFF -DBUILD_opencv_adas=OFF -DBUILD_opencv_bgsegm=OFF -DBUILD_opencv_bioinspired=ON -DBUILD_opencv_ccalib=OFF -DBUILD_opencv_datasets=OFF -DBUILD_opencv_dnn_modern=OFF -DBUILD_opencv_freetype=OFF -DBUILD_opencv_dpm=OFF -DBUILD_opencv_face=ON -DBUILD_opencv_latentsvm=OFF -DBUILD_opencv_line_descriptor=OFF -DBUILD_opencv_matlab=OFF -DBUILD_opencv_optflow=ON -DBUILD_opencv_reg=OFF -DBUILD_opencv_rgbd=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_surface_matching=OFF -DBUILD_opencv_text=ON -DBUILD_opencv_tracking=ON -DBUILD_opencv_xfeatures2d=ON -DBUILD_opencv_ximgproc=ON -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_xphoto=OFF -DWITH_LAPACK=OFF"
+BUILD_CONTRIB_X="-DBUILD_opencv_stereo=OFF -DBUILD_opencv_plot=ON -DBUILD_opencv_fuzzy=OFF -DBUILD_opencv_aruco=OFF -DBUILD_opencv_adas=OFF -DBUILD_opencv_bgsegm=OFF -DBUILD_opencv_bioinspired=ON -DBUILD_opencv_ccalib=OFF -DBUILD_opencv_datasets=OFF -DBUILD_opencv_dnn_modern=OFF -DBUILD_opencv_freetype=OFF -DBUILD_opencv_dpm=OFF -DBUILD_opencv_face=ON -DBUILD_opencv_latentsvm=OFF -DBUILD_opencv_line_descriptor=OFF -DBUILD_opencv_matlab=OFF -DBUILD_opencv_optflow=ON -DBUILD_opencv_reg=OFF -DBUILD_opencv_rgbd=OFF -DBUILD_opencv_saliency=OFF -DBUILD_opencv_surface_matching=OFF -DBUILD_opencv_text=ON -DBUILD_opencv_tracking=ON -DBUILD_opencv_xfeatures2d=ON -DBUILD_opencv_ximgproc=ON -DBUILD_opencv_xobjdetect=OFF -DBUILD_opencv_xphoto=ON -DWITH_LAPACK=OFF"
 
 GPU_FLAGS="-DWITH_CUDA=OFF -DWITH_OPENCL=ON"
 if [[ "$EXTENSION" == *gpu ]]; then
@@ -54,7 +56,8 @@ case $PLATFORM in
         make install/strip
         ;;
     linux-x86_64)
-        CC="gcc -m64" CXX="g++ -m64" $CMAKE -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_JASPER=ON -DBUILD_JPEG=ON -DBUILD_WEBP=ON -DBUILD_OPENEXR=ON -DBUILD_PNG=ON -DBUILD_TIFF=ON -DBUILD_ZLIB=ON -DBUILD_opencv_java=OFF -DBUILD_opencv_python2=OFF -DBUILD_opencv_hdf=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DWITH_1394=OFF -DWITH_FFMPEG=OFF -DWITH_GSTREAMER=OFF -DWITH_OPENMP=ON $GPU_FLAGS -DCUDA_HOST_COMPILER=/usr/bin/g++ -DWITH_IPP=OFF ${BUILD_CONTRIB_X} -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-$OPENCV_VERSION/modules
+    # Note: -DENABLE_CXX11=ON is for tesseract 4.0 support
+        CC="gcc -m64" CXX="g++ -m64" $CMAKE -DCMAKE_INSTALL_PREFIX="$INSTALL_PATH" -DENABLE_CXX11=ON -DBUILD_TESTS=OFF -DBUILD_PERF_TESTS=OFF -DBUILD_JASPER=ON -DBUILD_JPEG=ON -DBUILD_WEBP=ON -DBUILD_OPENEXR=ON -DBUILD_PNG=ON -DBUILD_TIFF=ON -DBUILD_ZLIB=ON -DBUILD_opencv_java=OFF -DBUILD_opencv_python2=OFF -DBUILD_opencv_hdf=OFF -DENABLE_PRECOMPILED_HEADERS=OFF -DWITH_1394=OFF -DWITH_FFMPEG=OFF -DWITH_GSTREAMER=OFF -DWITH_OPENMP=ON $GPU_FLAGS -DCUDA_HOST_COMPILER=/usr/bin/g++ -DWITH_IPP=OFF ${BUILD_CONTRIB_X} -DOPENCV_EXTRA_MODULES_PATH=../opencv_contrib-$OPENCV_VERSION/modules
         make -j $MAKEJ
         make install/strip
         ;;
@@ -110,4 +113,6 @@ case $PLATFORM in
         ;;
 esac
 
+fi
+
 cd ../..

opencv/src/main/java/org/bytedeco/javacpp/opencv_text.java

@@ -2149,4 +2149,98 @@ public native void run(@ByRef Mat image,
 // #endif // _OPENCV_TEXT_OCR_HPP_
 
 
+// Parsed from <opencv2/text/textDetector.hpp>
+
+// This file is part of OpenCV project.
+// It is subject to the license terms in the LICENSE file found in the top-level directory
+// of this distribution and at http://opencv.org/license.html.
+
+// #ifndef __OPENCV_TEXT_TEXTDETECTOR_HPP__
+// #define __OPENCV_TEXT_TEXTDETECTOR_HPP__
+
+// #include "ocr.hpp"
+
+/** \addtogroup text_detect
+ *  \{
+<p>
+/** \brief An abstract class providing interface for text detection algorithms
+ */
+@Namespace("cv::text") public static class TextDetector extends Pointer {
+    static { Loader.load(); }
+    /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
+    public TextDetector(Pointer p) { super(p); }
+
+    /**
+    \brief Method that provides a quick and simple interface to detect text inside an image
+    <p>
+    @param inputImage an image to process
+    @param Bbox a vector of Rect that will store the detected word bounding box
+    @param confidence a vector of float that will be updated with the confidence the classifier has for the selected bounding box
+    */
+    public native void detect(@ByVal Mat inputImage, @ByRef RectVector Bbox, @StdVector FloatPointer confidence);
+    public native void detect(@ByVal Mat inputImage, @ByRef RectVector Bbox, @StdVector FloatBuffer confidence);
+    public native void detect(@ByVal Mat inputImage, @ByRef RectVector Bbox, @StdVector float[] confidence);
+    public native void detect(@ByVal UMat inputImage, @ByRef RectVector Bbox, @StdVector FloatPointer confidence);
+    public native void detect(@ByVal UMat inputImage, @ByRef RectVector Bbox, @StdVector FloatBuffer confidence);
+    public native void detect(@ByVal UMat inputImage, @ByRef RectVector Bbox, @StdVector float[] confidence);
+    public native void detect(@ByVal GpuMat inputImage, @ByRef RectVector Bbox, @StdVector FloatPointer confidence);
+    public native void detect(@ByVal GpuMat inputImage, @ByRef RectVector Bbox, @StdVector FloatBuffer confidence);
+    public native void detect(@ByVal GpuMat inputImage, @ByRef RectVector Bbox, @StdVector float[] confidence);
+}
+
+/** \brief TextDetectorCNN class provides the functionallity of text bounding box detection.
+ This class is representing to find bounding boxes of text words given an input image.
+ This class uses OpenCV dnn module to load pre-trained model described in \cite LiaoSBWL17.
+ The original repository with the modified SSD Caffe version: https://github.com/MhLiao/TextBoxes.
+ Model can be downloaded from [DropBox](https://www.dropbox.com/s/g8pjzv2de9gty8g/TextBoxes_icdar13.caffemodel?dl=0).
+ Modified .prototxt file with the model description can be found in {@code opencv_contrib/modules/text/samples/textbox.prototxt}.
+ */
+@Namespace("cv::text") public static class TextDetectorCNN extends TextDetector {
+    static { Loader.load(); }
+    /** Pointer cast constructor. Invokes {@link Pointer#Pointer(Pointer)}. */
+    public TextDetectorCNN(Pointer p) { super(p); }
+
+    /**
+    \overload
+    <p>
+    @param inputImage an image expected to be a CV_U8C3 of any size
+    @param Bbox a vector of Rect that will store the detected word bounding box
+    @param confidence a vector of float that will be updated with the confidence the classifier has for the selected bounding box
+    */
+    public native void detect(@ByVal Mat inputImage, @ByRef RectVector Bbox, @StdVector FloatPointer confidence);
+    public native void detect(@ByVal Mat inputImage, @ByRef RectVector Bbox, @StdVector FloatBuffer confidence);
+    public native void detect(@ByVal Mat inputImage, @ByRef RectVector Bbox, @StdVector float[] confidence);
+    public native void detect(@ByVal UMat inputImage, @ByRef RectVector Bbox, @StdVector FloatPointer confidence);
+    public native void detect(@ByVal UMat inputImage, @ByRef RectVector Bbox, @StdVector FloatBuffer confidence);
+    public native void detect(@ByVal UMat inputImage, @ByRef RectVector Bbox, @StdVector float[] confidence);
+    public native void detect(@ByVal GpuMat inputImage, @ByRef RectVector Bbox, @StdVector FloatPointer confidence);
+    public native void detect(@ByVal GpuMat inputImage, @ByRef RectVector Bbox, @StdVector FloatBuffer confidence);
+    public native void detect(@ByVal GpuMat inputImage, @ByRef RectVector Bbox, @StdVector float[] confidence);
+
+    /** \brief Creates an instance of the TextDetectorCNN class using the provided parameters.
+    <p>
+    @param modelArchFilename the relative or absolute path to the prototxt file describing the classifiers architecture.
+    @param modelWeightsFilename the relative or absolute path to the file containing the pretrained weights of the model in caffe-binary form.
+    @param detectionSizes a list of sizes for multiscale detection. The values{@code [(300,300),(700,500),(700,300),(700,700),(1600,1600)]} are
+    recommended in \cite LiaoSBWL17 to achieve the best quality.
+    */
+    public static native @Ptr TextDetectorCNN create(@Str BytePointer modelArchFilename, @Str BytePointer modelWeightsFilename,
+                                                   @ByVal SizeVector detectionSizes);
+    public static native @Ptr TextDetectorCNN create(@Str String modelArchFilename, @Str String modelWeightsFilename,
+                                                   @ByVal SizeVector detectionSizes);
+    /**
+      \overload
+    */
+    public static native @Ptr TextDetectorCNN create(@Str BytePointer modelArchFilename, @Str BytePointer modelWeightsFilename);
+    public static native @Ptr TextDetectorCNN create(@Str String modelArchFilename, @Str String modelWeightsFilename);
+}
+
+/** \} */
+//namespace text
+//namespace cv
+
+
+// #endif // _OPENCV_TEXT_OCR_HPP_
+
+
 }