206 lines
11 KiB
Python
206 lines
11 KiB
Python
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from ij import IJ # pylint: disable=import-error
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from ijopencv.ij import ImagePlusMatConverter # pylint: disable=import-error
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from ijopencv.opencv import MatImagePlusConverter # pylint: disable=import-error
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import org.bytedeco.javacpp.opencv_core as opencv_core # pylint: disable=import-error
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import org.bytedeco.javacpp.opencv_imgproc as opencv_imgproc # pylint: disable=import-error
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from org.bytedeco.javacpp.opencv_imgcodecs import imread, imwrite # pylint: disable=import-error
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# from org.bytedeco.javacpp.opencv_core import CvMat
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def test_opencv_calc_hist1():
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src_image = opencv_core.Mat([128, 128])
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histogram = opencv_imgproc.cvCalcHist(src_image) # pylint: disable=unused-variable
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# TypeError: cvCalcHist(): expected 2 or 4 args; got 1
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def test_opencv_calc_hist2():
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src_image = opencv_core.Mat([128, 128])
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histogram = opencv_core.Mat()
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opencv_imgproc.cvCalcHist(src_image, histogram)
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# TypeError: cvCalcHist(): 1st arg can't be coerced to org.bytedeco.javacpp.opencv_core$IplImage
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def test_opencv_calc_hist3():
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src_image = opencv_core.Mat([128, 128])
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histogram = opencv_imgproc.calcHist(src_image) # pylint: disable=unused-variable
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# TypeError: calcHist(): expected 6-8 or 10 args; got 1
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# ah: ./opencv/src/main/java/org/bytedeco/javacpp/opencv_imgproc.java seems to contain the list of 57 allowed calcHist sets of arguments, as the number of arguments match
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# [OK]graffy@pr079234:~/toto/javacpp-presets[19:45:41]>grep -A 5 calcHist ./opencv/src/main/java/org/bytedeco/javacpp/opencv_imgproc.java | sed -E 's/^[ ]*//g' | tr '\n' '`' | sed 's/,`/, /g' | tr '`' '\n' | grep '^@Namespace' | wc -l
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# 57
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# [OK]graffy@pr079234:~/toto/javacpp-presets[19:45:56]>grep -A 5 calcHist ./opencv/src/main/java/org/bytedeco/javacpp/opencv_imgproc.java | sed -E 's/^[ ]*//g' | tr '\n' '`' | sed 's/,`/, /g' | tr '`' '\n' | grep '^@Namespace' | head -2
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# @Namespace("cv") public static native void calcHist( @Const Mat images, int nimages, @Const IntPointer channels, @ByVal Mat mask, @ByVal Mat hist, int dims, @Const IntPointer histSize, @Cast("const float**") PointerPointer ranges, @Cast("bool") boolean uniform/*=true*/, @Cast("bool") boolean accumulate/*=false*/ );
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# @Namespace("cv") public static native void calcHist( @Const Mat images, int nimages, @Const IntPointer channels, @ByVal Mat mask, @ByVal Mat hist, int dims, @Const IntPointer histSize, @Const @ByPtrPtr FloatPointer ranges );
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# [OK]graffy@pr079234:~/toto/javacpp-presets[19:38:39]>grep -A 5 calcHist ./opencv/src/main/java/org/bytedeco/javacpp/opencv_imgproc.java | sed -E 's/^[ ]*//g' | tr '\n' '`' | sed 's/,`/, /g' | tr '`' '\n' | grep '^@Namespace' | awk '-F,' '{print NF}' | sort --unique -n
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# 6
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# 7
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# 8
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# 10
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def test_opencv_calc_hist4():
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src_image = opencv_core.Mat([128, 128])
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src_images = opencv_core.MatVector()
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# print(dir(src_images))
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src_images.push_back(src_image)
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print(type(src_images))
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# <type 'org.bytedeco.javacpp.opencv_core$MatVector'>
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print(src_images)
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# [org.bytedeco.javacpp.opencv_core$Mat[width=1024,height=1024,depth=8,channels=3]]
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opencv_imgproc.calcHist(src_images, [0], None, None, [256], [0.0, 256.0])
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# TypeError: calcHist(): 1st arg can't be coerced to org.bytedeco.javacpp.opencv_core$UMatVector, org.bytedeco.javacpp.opencv_core$GpuMatVector, org.bytedeco.javacpp.opencv_core$MatVector
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def test_opencv_calc_hist5():
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src_image = opencv_core.Mat([128, 128])
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histogram = opencv_core.Mat()
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# @Namespace("cv") public static native void calcHist( @Const Mat images, int nimages, @Const int[] channels, @ByVal Mat mask, @ByVal Mat hist, int dims, @Const int[] histSize, @Const @ByPtrPtr float[] ranges );
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opencv_imgproc.calcHist(src_image, 1, [0], None, histogram, 1, [256], [0.0, 256.0])
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# at org.bytedeco.javacpp.opencv_imgproc.calcHist(Native Method)
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# at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
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# at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
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# at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
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# at java.lang.reflect.Method.invoke(Method.java:497)
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# java.lang.NullPointerException: java.lang.NullPointerException: Pointer address of argument 3 is NULL.
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def test_opencv_calc_hist6():
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src_image = opencv_core.Mat([128, 128])
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histogram = opencv_core.Mat()
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mask = opencv_core.Mat()
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# @Namespace("cv") public static native void calcHist( @Const Mat images, int nimages, @Const int[] channels, @ByVal Mat mask, @ByVal Mat hist, int dims, @Const int[] histSize, @Const @ByPtrPtr float[] ranges );
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opencv_imgproc.calcHist(src_image, 1, [0], mask, histogram, 1, [256], [0.0, 256.0])
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# java.lang.RuntimeException: java.lang.RuntimeException: OpenCV(3.4.2) /Users/travis/build/bytedeco/javacpp-presets/opencv/cppbuild/macosx-x86_64/opencv-3.4.2/modules/imgproc/src/histogram.cpp:918: error: (-210:Unsupported format or combination of formats) in function 'calcHist'
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def test_opencv_calc_hist7():
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# 0 : depth=8
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# 1 : depth=-2147483640
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# 2 : depth=16
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# 3 : depth=-2147483640
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# 4 : depth=-2147483640
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# 8 : depth=8, channels=2
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print('opencv_core.CV_8U', opencv_core.CV_8U)
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print('opencv_core.CV_16U', opencv_core.CV_16U)
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print('opencv_core.CV_32F', opencv_core.CV_32F)
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print('opencv_core.CV_8UC3', opencv_core.CV_8UC3)
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src_image = opencv_core.Mat().zeros(128, 128, opencv_core.CV_8U).asMat()
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byte_pointer = src_image.data()
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print('byte_pointer', byte_pointer)
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# byte_pointer.putChar(128 * 3 + 7, 5)
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byte_pointer.put(128 * 3 + 7, 5)
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# print(dir(opencv_core))
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print('src_image', src_image)
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histogram = opencv_core.Mat()
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print('histogram', histogram)
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# create an empty mask. From https://docs.opencv.org/3.4.1/d6/dc7/group__imgproc__hist.html#ga4b2b5fd75503ff9e6844cc4dcdaed35d :
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# Optional mask. If the matrix is not empty, it must be an 8-bit array of the same size as images[i] . The non-zero mask elements mark the array elements counted in the histogram.
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empty_mask = opencv_core.Mat()
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print('empty_mask', empty_mask)
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# @Namespace("cv") public static native void calcHist( @Const Mat images, int nimages, @Const int[] channels, @ByVal Mat mask, @ByVal Mat hist, int dims, @Const int[] histSize, @Const @ByPtrPtr float[] ranges );
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opencv_imgproc.calcHist(src_image, 1, [0], empty_mask, histogram, 1, [256], [0.0, 256.0])
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print('histogram', histogram, opencv_core.CvMat(histogram))
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def test_opencv_calc_hist():
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'''
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'''
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# https://forum.image.sc/t/use-opencv-within-jython-macro/10320/4
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test_opencv_calc_hist7()
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# histogram = opencv_imgproc.calcHist(images=[src_image], channels=[0], mask=None, histSize=[256], ranges=[0, 256])
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# histogram = opencv_imgproc.calcHist(src_image, 0, None, 3, [256], [0.0, 256.0], True, False)
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# print(dir(opencv_imgproc))
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# help(opencv_imgproc.cvCalcHist)
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# opencv_imgproc.calcHist(src_image, None, histogram)
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# histogram = opencv_imgproc.cvCalcHist(src_image, None, [256], [0.0, 256.0])
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# import inspect
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# lines = inspect.getsource(opencv_imgproc.calcHist)
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# opencv_imgproc.calcHist(src_image, histogram)
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# there are 2 calcHist functions in /Applications/Fiji.app/jars/opencv-3.4.2-1.4.2.jar, and they take 6 or 7 arguments :
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# jar -xvf /Applications/Fiji.app/jars/opencv-3.4.2-1.4.2.jar
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# [1]graffy@pr079234:~/toto/jython[15:18:17]>javap ./org/opencv/imgproc/Imgproc.class | grep calcHist
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# public static void calcHist(java.util.List<org.opencv.core.Mat>, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat, boolean);
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# public static void calcHist(java.util.List<org.opencv.core.Mat>, org.opencv.core.MatOfInt, org.opencv.core.Mat, org.opencv.core.Mat, org.opencv.core.MatOfInt, org.opencv.core.MatOfFloat);
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#
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# jar -xvf /Applications/Fiji.app/jars/opencv-3.4.2-1.4.2-macosx-x86_64.jar
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# [OK]graffy@pr079234:~/toto/jython[19:02:28]>grep -A 5 "calcHist(" org/bytedeco/javacpp/macosx-x86_64/include/opencv2/imgproc.hpp
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# CV_EXPORTS void calcHist( const Mat* images, int nimages,
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# const int* channels, InputArray mask,
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# OutputArray hist, int dims, const int* histSize,
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# const float** ranges, bool uniform = true, bool accumulate = false );
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# /** @overload
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# --
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# CV_EXPORTS void calcHist( const Mat* images, int nimages,
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# const int* channels, InputArray mask,
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# SparseMat& hist, int dims,
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# const int* histSize, const float** ranges,
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# bool uniform = true, bool accumulate = false );
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# --
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# CV_EXPORTS_W void calcHist( InputArrayOfArrays images,
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# const std::vector<int>& channels,
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# InputArray mask, OutputArray hist,
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# const std::vector<int>& histSize,
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# const std::vector<float>& ranges,
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# bool accumulate = false );
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# git checkout tags/1.4.2
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# [OK]graffy@pr079234:~/toto/javacpp-presets[19:21:57]>git branch
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# * (HEAD detached at 1.4.2)
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# [OK]graffy@pr079234:~/toto/javacpp-presets[19:18:33]>grep -A 2 "void cvCalcHist" ./opencv/src/main/java/org/bytedeco/javacpp/opencv_imgproc.java
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# public static native void cvCalcHist( @Cast("IplImage**") PointerPointer image, CvHistogram hist,
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# int accumulate/*=0*/,
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# @Const CvArr mask/*=NULL*/ );
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# --
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# public static native void cvCalcHist( @ByPtrPtr IplImage image, CvHistogram hist );
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# public static native void cvCalcHist( @ByPtrPtr IplImage image, CvHistogram hist,
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# int accumulate/*=0*/,
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# @Const CvArr mask/*=NULL*/ );
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# [OK]graffy@pr079234:~/toto/javacpp-presets[19:18:41]>grep -A 2 "void cvCalcHist" ./opencv/src/main/java/org/bytedeco/javacpp/helper/opencv_imgproc.java
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# public static void cvCalcHist(IplImage[] arr, CvHistogram hist, int accumulate/*=0*/, CvArr mask/*=null*/) {
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# org.bytedeco.javacpp.opencv_imgproc.cvCalcHist(new IplImageArray(arr), hist, accumulate, mask);
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# }
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# --
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# public static void cvCalcHist(IplImageArray arr, CvHistogram hist,
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# int accumulate/*=0*/, CvArr mask/*=null*/) {
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# org.bytedeco.javacpp.opencv_imgproc.cvCalcArrHist(arr, hist, accumulate, mask);
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def create_test_image_file(image_file_path):
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image = opencv_core.Mat().zeros(128, 128, opencv_core.CV_8U).asMat()
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imwrite(image_file_path, image)
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def test_ijopencv_converter():
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image_file_path = '/tmp/toto.png'
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create_test_image_file(image_file_path)
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image = IJ.openImage(image_file_path)
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imp2mat = ImagePlusMatConverter()
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mat = imp2mat.toMat(image.getProcessor())
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# white_mat = imread(white_image_file_path)
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print('mat', mat)
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def test_opencv():
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test_ijopencv_converter()
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test_opencv_calc_hist()
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# If a Jython script is run, the variable __name__ contains the string '__main__'.
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# If a script is loaded as module, __name__ has a different value.
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if __name__ in ['__builtin__', '__main__']:
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# run_script()
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# test_get_image_median_value()
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test_opencv()
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