Add adaptive threshold

package/PikaCV/PikaCV.pyi

@@ -138,7 +138,14 @@ class Transforms(TinyObj):
         TODO:
         1:BILINEAR
         """
-
+    def adaptiveThreshold(image:Image,maxval:int,subsize:int,c:int,method:int):
+        """
+        AdaptiveThreshold
+        method
+        0:meanFilter
+        1:medianFilter
+        #TODO 2:gaussianFilter
+        """
 class Filter(TinyObj):
     """The Filter class is used to 
     supply some Image Filtering Algorithms ."""

package/PikaCV/PikaCV_Transforms.c

@@ -1,5 +1,6 @@
 #include "PikaCV_Transforms.h"
 #include "PikaCV_Converter.h"
+#include "PikaCV_Filter.h"
 #include "PikaCV_common.h"
 #include "math.h"
 
@@ -254,3 +255,45 @@ void PikaCV_Transforms_resize(PikaObj *self, PikaObj* image, int resizeType, int
 
 #undef MAX
 #undef MIN
+
+void PikaCV_Transforms_adaptiveThreshold(PikaObj *self, int c, PikaObj* image, int maxval, int method, int subsize){
+    PikaCV_Image* src = obj_getStruct(image, "image");
+
+    if (NULL == src) {
+        pika_assert(0);
+        return;
+    }
+    if(c<-255||c>255){
+        pika_assert(0);
+        return;
+    }
+    if (src->format != PikaCV_ImageFormat_Type_GRAY) {
+        PikaCV_Converter_toGray(self,image);
+    }
+
+    int size = src->size;
+    uint8_t* src_data = _image_getData(image);
+    
+    switch (method)
+	{
+	case 0:
+		PikaCV_Filter_meanFilter(self,image,subsize,subsize);  //均值滤波
+		break;
+	case 1:
+		PikaCV_Filter_medianFilter(self,image);   //中值滤波
+		break;
+	default:
+		break;
+	}
+
+    uint8_t* smooth_data = _image_getData(image);
+    for(int i=0;i<size;i++){
+        smooth_data[i] -= c;
+    }
+    for(int i=0;i<size;i++){
+        src_data[i] = src_data[i] > smooth_data[i] ? maxval : 0 ;
+    }
+
+    obj_setBytes(image, "_data", src_data, src->size);
+
+}

port/linux/package/pikascript/PikaCV.pyi

@@ -138,7 +138,14 @@ class Transforms(TinyObj):
         TODO:
         1:BILINEAR
         """
-
+    def adaptiveThreshold(image:Image,maxval:int,subsize:int,c:int,method:int):
+        """
+        AdaptiveThreshold
+        method
+        0:meanFilter
+        1:medianFilter
+        #TODO 2:gaussianFilter
+        """
 class Filter(TinyObj):
     """The Filter class is used to 
     supply some Image Filtering Algorithms ."""

port/linux/package/pikascript/pikascript-lib/PikaCV/PikaCV_Transforms.c

@@ -1,5 +1,6 @@
 #include "PikaCV_Transforms.h"
 #include "PikaCV_Converter.h"
+#include "PikaCV_Filter.h"
 #include "PikaCV_common.h"
 #include "math.h"
 
@@ -254,3 +255,45 @@ void PikaCV_Transforms_resize(PikaObj *self, PikaObj* image, int resizeType, int
 
 #undef MAX
 #undef MIN
+
+void PikaCV_Transforms_adaptiveThreshold(PikaObj *self, int c, PikaObj* image, int maxval, int method, int subsize){
+    PikaCV_Image* src = obj_getStruct(image, "image");
+
+    if (NULL == src) {
+        pika_assert(0);
+        return;
+    }
+    if(c<-255||c>255){
+        pika_assert(0);
+        return;
+    }
+    if (src->format != PikaCV_ImageFormat_Type_GRAY) {
+        PikaCV_Converter_toGray(self,image);
+    }
+
+    int size = src->size;
+    uint8_t* src_data = _image_getData(image);
+    
+    switch (method)
+	{
+	case 0:
+		PikaCV_Filter_meanFilter(self,image,subsize,subsize);  //均值滤波
+		break;
+	case 1:
+		PikaCV_Filter_medianFilter(self,image);   //中值滤波
+		break;
+	default:
+		break;
+	}
+
+    uint8_t* smooth_data = _image_getData(image);
+    for(int i=0;i<size;i++){
+        smooth_data[i] -= c;
+    }
+    for(int i=0;i<size;i++){
+        src_data[i] = src_data[i] > smooth_data[i] ? maxval : 0 ;
+    }
+
+    obj_setBytes(image, "_data", src_data, src->size);
+
+}

port/linux/test/PikaCV-test.cpp

@@ -134,3 +134,18 @@ TEST(PikaCV, test9) {
 
     EXPECT_EQ(pikaMemNow(), 0);
 }
+
+TEST(PikaCV, test10) {
+    /* init */
+    pikaMemInfo.heapUsedMax = 0;
+    PikaObj* pikaMain = newRootObj("pikaMain", New_PikaMain);
+    /* run */
+    __platform_printf("BEGIN\r\n");
+    pikaVM_runSingleFile(pikaMain, "test/python/PikaCV/PikaCV_test10.py");
+    /* collect */
+    /* assert */
+    /* deinit */
+    obj_deinit(pikaMain);
+
+    EXPECT_EQ(pikaMemNow(), 0);
+}

port/linux/test/python/PikaCV/PikaCV_test10.py

@@ -0,0 +1,7 @@
+import PikaCV as cv
+img = cv.Image()
+img.read("test/assets/test.jpg")
+cv.Converter.toGray(img)
+cv.Transforms.adaptiveThreshold(img,255,3,0,0)
+cv.Converter.toBMP(img)
+img.write("test/out/test10.bmp")