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Add class filter and meanfilter method in PikaCV
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purewind7
李昂
parent
8d89597a1c
commit
ec8611260e
@ -137,4 +137,10 @@ class Transforms(TinyObj):
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0:NEAREST
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TODO:
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1:BILINEAR
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"""
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"""
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class Filter(TinyObj):
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"""The Filter class is used to
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supply some Image Filtering Algorithms ."""
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def meanFilter(image:Image,ksizex:int,ksizey:int):
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""" mean filter,ksize is odd"""
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114
package/PikaCV/PikaCV_Filter.c
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114
package/PikaCV/PikaCV_Filter.c
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@ -0,0 +1,114 @@
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#include "PikaCV_Filter.h"
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#include "PikaCV_Converter.h"
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#include "PikaCV_common.h"
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void PikaCV_Filter_meanFilter(PikaObj *self, PikaObj *image, int ksizex, int ksizey)
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{
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PikaCV_Image *src = obj_getStruct(image, "image");
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int width = src->width;
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int height = src->height;
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if (NULL == src)
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{
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pika_assert(0);
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return;
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}
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if (ksizex % 2 == 0 || ksizey % 2 == 0)
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{
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pika_assert(0);
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return;
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}
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if (src->format == PikaCV_ImageFormat_Type_GRAY)
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{
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int hh = (ksizey - 1) / 2;
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int hw = (ksizex - 1) / 2;
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int sum = 0;
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int mean = 0;
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int area = ksizex * ksizey;
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int width_new = width - ksizex + 1;
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int height_new = height - ksizey + 1;
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int size_new = width_new * height_new;
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Arg *arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
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uint8_t *data = _image_getData(image);
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uint8_t *data_new = arg_getBytes(arg_data_new);
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for (int i = hh; i < height_new + hh; ++i)
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{
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for (int j = hw; j < width_new + hw; ++j)
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{
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for (int r = i - hh; r <= i + hh; ++r)
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{
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for (int c = j - hw; c <= j + hw; ++c)
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{
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// sum = Newsrc.at<uchar>(r, c) + sum;
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sum += data[r * width + c];
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}
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}
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// mean = sum / (wsize.area());
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// dst.at<uchar>(i-hh,j-hw)=mean;
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mean = sum / area;
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data_new[(i - hh) * width_new + (j - hw)] = mean;
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sum = 0;
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mean = 0;
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}
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}
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src->height = height_new;
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src->width = width_new;
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src->size = size_new;
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obj_setBytes(image, "_data", data_new, size_new);
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arg_deinit(arg_data_new);
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return;
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}
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else if (src->format != PikaCV_ImageFormat_Type_RGB888)
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{
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PikaCV_Converter_toRGB888(self, image);
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}
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int hh = (ksizey - 1) / 2;
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int hw = (ksizex - 1) / 2;
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int sumr = 0, sumg = 0, sumb = 0;
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int meanr = 0, meang = 0, meanb = 0;
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int area = ksizex * ksizey;
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int width_new = width - ksizex + 1;
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int height_new = height - ksizey + 1;
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int size_new = width_new * height_new * 3;
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Arg *arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
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uint8_t *data = _image_getData(image);
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uint8_t *data_new = arg_getBytes(arg_data_new);
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for (int i = hh; i < height_new + hh; ++i)
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{
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for (int j = hw; j < width_new + hw; ++j)
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{
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for (int r = i - hh; r <= i + hh; ++r)
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{
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for (int c = j - hw; c <= j + hw; ++c)
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{
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sumr += data[r * width * 3 + c * 3];
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sumg += data[r * width * 3 + c * 3 + 1];
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sumb += data[r * width * 3 + c * 3 + 2];
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}
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}
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meanr = sumr / area;
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meang = sumg / area;
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meanb = sumb / area;
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data_new[(i - hh) * width_new * 3 + (j - hw) * 3] = meanr;
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data_new[(i - hh) * width_new * 3 + (j - hw) * 3 + 1] = meang;
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data_new[(i - hh) * width_new * 3 + (j - hw) * 3 + 2] = meanb;
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sumr = 0;
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sumg = 0;
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sumb = 0;
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meanb = 0;
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meang = 0;
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meanr = 0;
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}
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}
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src->height = height_new;
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src->width = width_new;
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src->size = size_new;
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obj_setBytes(image, "_data", data_new, size_new);
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arg_deinit(arg_data_new);
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return;
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}
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@ -137,4 +137,10 @@ class Transforms(TinyObj):
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0:NEAREST
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TODO:
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1:BILINEAR
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"""
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"""
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class Filter(TinyObj):
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"""The Filter class is used to
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supply some Image Filtering Algorithms ."""
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def meanFilter(image:Image,ksizex:int,ksizey:int):
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""" mean filter,ksize is odd"""
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@ -0,0 +1,114 @@
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#include "PikaCV_Filter.h"
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#include "PikaCV_Converter.h"
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#include "PikaCV_common.h"
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void PikaCV_Filter_meanFilter(PikaObj *self, PikaObj *image, int ksizex, int ksizey)
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{
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PikaCV_Image *src = obj_getStruct(image, "image");
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int width = src->width;
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int height = src->height;
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if (NULL == src)
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{
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pika_assert(0);
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return;
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}
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if (ksizex % 2 == 0 || ksizey % 2 == 0)
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{
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pika_assert(0);
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return;
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}
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if (src->format == PikaCV_ImageFormat_Type_GRAY)
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{
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int hh = (ksizey - 1) / 2;
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int hw = (ksizex - 1) / 2;
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int sum = 0;
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int mean = 0;
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int area = ksizex * ksizey;
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int width_new = width - ksizex + 1;
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int height_new = height - ksizey + 1;
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int size_new = width_new * height_new;
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Arg *arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
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uint8_t *data = _image_getData(image);
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uint8_t *data_new = arg_getBytes(arg_data_new);
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for (int i = hh; i < height_new + hh; ++i)
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{
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for (int j = hw; j < width_new + hw; ++j)
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{
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for (int r = i - hh; r <= i + hh; ++r)
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{
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for (int c = j - hw; c <= j + hw; ++c)
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{
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// sum = Newsrc.at<uchar>(r, c) + sum;
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sum += data[r * width + c];
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}
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}
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// mean = sum / (wsize.area());
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// dst.at<uchar>(i-hh,j-hw)=mean;
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mean = sum / area;
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data_new[(i - hh) * width_new + (j - hw)] = mean;
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sum = 0;
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mean = 0;
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}
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}
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src->height = height_new;
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src->width = width_new;
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src->size = size_new;
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obj_setBytes(image, "_data", data_new, size_new);
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arg_deinit(arg_data_new);
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return;
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}
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else if (src->format != PikaCV_ImageFormat_Type_RGB888)
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{
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PikaCV_Converter_toRGB888(self, image);
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}
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int hh = (ksizey - 1) / 2;
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int hw = (ksizex - 1) / 2;
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int sumr = 0, sumg = 0, sumb = 0;
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int meanr = 0, meang = 0, meanb = 0;
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int area = ksizex * ksizey;
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int width_new = width - ksizex + 1;
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int height_new = height - ksizey + 1;
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int size_new = width_new * height_new * 3;
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Arg *arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
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uint8_t *data = _image_getData(image);
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uint8_t *data_new = arg_getBytes(arg_data_new);
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for (int i = hh; i < height_new + hh; ++i)
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{
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for (int j = hw; j < width_new + hw; ++j)
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{
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for (int r = i - hh; r <= i + hh; ++r)
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{
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for (int c = j - hw; c <= j + hw; ++c)
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{
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sumr += data[r * width * 3 + c * 3];
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sumg += data[r * width * 3 + c * 3 + 1];
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sumb += data[r * width * 3 + c * 3 + 2];
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}
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}
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meanr = sumr / area;
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meang = sumg / area;
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meanb = sumb / area;
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data_new[(i - hh) * width_new * 3 + (j - hw) * 3] = meanr;
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data_new[(i - hh) * width_new * 3 + (j - hw) * 3 + 1] = meang;
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data_new[(i - hh) * width_new * 3 + (j - hw) * 3 + 2] = meanb;
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sumr = 0;
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sumg = 0;
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sumb = 0;
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meanb = 0;
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meang = 0;
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meanr = 0;
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}
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}
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src->height = height_new;
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src->width = width_new;
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src->size = size_new;
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obj_setBytes(image, "_data", data_new, size_new);
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arg_deinit(arg_data_new);
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return;
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}
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@ -102,5 +102,20 @@ TEST(PikaCV, test7) {
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/* deinit */
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obj_deinit(pikaMain);
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EXPECT_EQ(pikaMemNow(), 0);
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}
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TEST(PikaCV, test8) {
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/* init */
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pikaMemInfo.heapUsedMax = 0;
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PikaObj* pikaMain = newRootObj("pikaMain", New_PikaMain);
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/* run */
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__platform_printf("BEGIN\r\n");
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pikaVM_runSingleFile(pikaMain, "test/python/PikaCV/PikaCV_test8.py");
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/* collect */
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/* assert */
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/* deinit */
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obj_deinit(pikaMain);
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EXPECT_EQ(pikaMemNow(), 0);
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}
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@ -2,6 +2,6 @@ import PikaCV as cv
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img = cv.Image()
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img.read("test/assets/test.jpg")
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cv.Converter.toRGB888(img)
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thre = cv.Transforms.resize(img,25,25)
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thre = cv.Transforms.resize(img,25,25,0)
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cv.Converter.toBMP(img)
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img.write("test/out/test3.bmp")
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7
port/linux/test/python/PikaCV/PikaCV_test8.py
Normal file
7
port/linux/test/python/PikaCV/PikaCV_test8.py
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import PikaCV as cv
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img = cv.Image()
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img.read("test/assets/test.jpg")
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cv.Converter.toRGB888(img)
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thre = cv.Filter.meanFilter(img,3,3)
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cv.Converter.toBMP(img)
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img.write("test/out/test4.bmp")
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