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install valgrind in CI, fix valgrind err in CV

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pikastech 2022-07-21 21:51:48 +08:00
parent 6ae8bf0c15
commit 8cc5a5a844
5 changed files with 259 additions and 227 deletions
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1
.github/workflows/CI.yml vendored
View File

@ -23,6 +23,7 @@ jobs:
run: |
sudo apt install ninja-build
sudo apt install liblua5.3-dev
sudo apt install valgrind
- name: install_google_benchmark
run: |

1
.github/workflows/TEST.yml vendored
View File

@ -23,6 +23,7 @@ jobs:
run: |
sudo apt install ninja-build
sudo apt install liblua5.3-dev
sudo apt install valgrind
- name: install_google_benchmark
run: git clone --branch v1.6.1 https://github.com/google/benchmark.git && cd benchmark && cmake -E make_directory "build" && cmake -E chdir "build" cmake -DBENCHMARK_DOWNLOAD_DEPENDENCIES=on -DCMAKE_BUILD_TYPE=Release ../ && cmake --build "build" --config Release && sudo cmake --build "build" --config Release --target install

247
package/PikaCV/PikaCV_Transforms.c
View File

@ -19,7 +19,7 @@ void PikaCV_Transforms_rotateDown(PikaObj* self, PikaObj* image) {
int width = img->width;
int height = img->height;
int size_new = width * height * 3;
Arg* arg_data_new = arg_newBytes(NULL, size_new);
Arg* arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
uint8_t* data = _image_getData(image);
uint8_t* data_new = arg_getBytes(arg_data_new);
int i, j, k;
@ -37,48 +37,47 @@ void PikaCV_Transforms_rotateDown(PikaObj* self, PikaObj* image) {
arg_deinit(arg_data_new);
}
void PikaCV_Transforms_threshold(PikaObj *self, PikaObj* image, int maxval, int thre, int thresholdType){
void PikaCV_Transforms_threshold(PikaObj* self,
PikaObj* image,
int maxval,
int thre,
int thresholdType) {
PikaCV_Image* src = obj_getStruct(image, "image");
if (NULL == src) {
pika_assert(0);
return;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
uint8_t* src_data = _image_getData(image);
int i;
if(thresholdType == 0 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? maxval : 0 ;
if (thresholdType == 0) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? maxval : 0;
}
}
else if(thresholdType == 1 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? 0 : maxval ;
} else if (thresholdType == 1) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? 0 : maxval;
}
}
else if(thresholdType == 2 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? thre : src_data[i] ;
} else if (thresholdType == 2) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? thre : src_data[i];
}
}
else if(thresholdType == 3 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? src_data[i] : 0 ;
} else if (thresholdType == 3) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? src_data[i] : 0;
}
}
else if(thresholdType == 4 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? 0 : src_data[i] ;
} else if (thresholdType == 4) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? 0 : src_data[i];
}
}
else if(thresholdType == 5 ){
PikaCV_Transforms_setOTSU(self,image);
}else{
} else if (thresholdType == 5) {
PikaCV_Transforms_setOTSU(self, image);
} else {
pika_assert(0);
return;
}
@ -86,7 +85,12 @@ void PikaCV_Transforms_threshold(PikaObj *self, PikaObj* image, int maxval, int
obj_setBytes(image, "_data", src_data, src->size);
}
void PikaCV_Transforms_setROI(PikaObj *self, int h, PikaObj* image, int w, int x, int y){
void PikaCV_Transforms_setROI(PikaObj* self,
int h,
PikaObj* image,
int w,
int x,
int y) {
PikaCV_Image* src = obj_getStruct(image, "image");
int width = src->width;
int height = src->height;
@ -96,80 +100,81 @@ void PikaCV_Transforms_setROI(PikaObj *self, int h, PikaObj* image, int w, int x
return;
}
if (src->format != PikaCV_ImageFormat_Type_RGB888) {
PikaCV_Converter_toRGB888(self,image);
PikaCV_Converter_toRGB888(self, image);
}
if( x <= 0 || y <= 0 || w <= 0 || h <= 0){
if (x <= 0 || y <= 0 || w <= 0 || h <= 0) {
pika_assert(0);
return;
}
if( x + w > width || y + h > height ){
if (x + w > width || y + h > height) {
pika_assert(0);
return;
}
int size_new = h * w * 3;
Arg* arg_data_new = arg_newBytes(NULL, size_new);
Arg* arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
uint8_t* data = _image_getData(image);
uint8_t* data_new = arg_getBytes(arg_data_new);
for(int i = 0 ; i < h ; i++){
for(int j = 0 ; j < w ; j++){
data_new[i * 3 * w + j * 3] = data[ (i + y - 1 ) * width * 3 + (j + x - 1 ) * 3 ];
data_new[i * 3 * w + j * 3 + 1] = data[ (i + y - 1 ) * width * 3 + ( j + x - 1 ) * 3 + 1];
data_new[i * 3 * w + j * 3 + 2] = data[ (i + y - 1 ) * width * 3 + ( j + x - 1 ) * 3 + 2];
for (int i = 0; i < h; i++) {
for (int j = 0; j < w; j++) {
data_new[i * 3 * w + j * 3] =
data[(i + y - 1) * width * 3 + (j + x - 1) * 3];
data_new[i * 3 * w + j * 3 + 1] =
data[(i + y - 1) * width * 3 + (j + x - 1) * 3 + 1];
data_new[i * 3 * w + j * 3 + 2] =
data[(i + y - 1) * width * 3 + (j + x - 1) * 3 + 2];
}
}
src->height = h;
src->width = w;
src->size = size_new;
obj_setBytes(image, "_data", data_new, size_new);
arg_deinit(arg_data_new);
}
int PikaCV_Transforms_getOTSUthre(PikaObj *self, PikaObj* image){
int PikaCV_Transforms_getOTSUthre(PikaObj* self, PikaObj* image) {
PikaCV_Image* src = obj_getStruct(image, "image");
if (NULL == src) {
pika_assert(0);
return 0;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
const int Grayscale=256;
const int Grayscale = 256;
int width = src->width;
int height = src->height;
int size = src->size;
int threshold = 0;
int graynum[256] = { 0 };
int graynum[256] = {0};
uint8_t* data = _image_getData(image);
for(int i=0 ; i < size ; i++){
for (int i = 0; i < size; i++) {
graynum[data[i]]++;
}
double P[256] = { 0.0 };
double PK[256] = { 0.0 };
double MK[256] = { 0.0 };
double srcpixnum = width*height, sumtmpPK = 0, sumtmpMK = 0;
for (int i = 0; i < Grayscale; ++i){
double P[256] = {0.0};
double PK[256] = {0.0};
double MK[256] = {0.0};
double srcpixnum = width * height, sumtmpPK = 0, sumtmpMK = 0;
for (int i = 0; i < Grayscale; ++i) {
P[i] = graynum[i] / srcpixnum;
PK[i] = sumtmpPK + P[i];
PK[i] = sumtmpPK + P[i];
sumtmpPK = PK[i];
MK[i] = sumtmpMK + i*P[i];
MK[i] = sumtmpMK + i * P[i];
sumtmpMK = MK[i];
}
double Var=0;
for (int k = 0; k < Grayscale; ++k){
if(PK[k] > 0.0)
{
double t = MK[Grayscale-1] * PK[k] - MK[k];
double Var = 0;
for (int k = 0; k < Grayscale; ++k) {
if (PK[k] > 0.0) {
double t = MK[Grayscale - 1] * PK[k] - MK[k];
double w = PK[k] * (1 - PK[k]);
double variance = t * t / w ;
if (variance > Var){
Var = variance ;
double variance = t * t / w;
if (variance > Var) {
Var = variance;
threshold = k;
}
}
@ -178,7 +183,7 @@ int PikaCV_Transforms_getOTSUthre(PikaObj *self, PikaObj* image){
return threshold;
}
void PikaCV_Transforms_setOTSU(PikaObj *self, PikaObj* image){
void PikaCV_Transforms_setOTSU(PikaObj* self, PikaObj* image) {
PikaCV_Image* src = obj_getStruct(image, "image");
if (NULL == src) {
@ -186,15 +191,15 @@ void PikaCV_Transforms_setOTSU(PikaObj *self, PikaObj* image){
return;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
int thre = PikaCV_Transforms_getOTSUthre(self,image);
int thre = PikaCV_Transforms_getOTSUthre(self, image);
uint8_t* src_data = _image_getData(image);
int i;
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? 255 : 0 ;
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? 255 : 0;
}
obj_setBytes(image, "_data", src_data, src->size);
@ -203,7 +208,11 @@ void PikaCV_Transforms_setOTSU(PikaObj *self, PikaObj* image){
#define MAX(a, b) ((a) > (b) ? (a) : (b))
#define MIN(a, b) ((a) < (b) ? (a) : (b))
void PikaCV_Transforms_resize(PikaObj *self, PikaObj* image, int resizeType, int x, int y){
void PikaCV_Transforms_resize(PikaObj* self,
PikaObj* image,
int resizeType,
int x,
int y) {
PikaCV_Image* src = obj_getStruct(image, "image");
int width = src->width;
int height = src->height;
@ -211,89 +220,99 @@ void PikaCV_Transforms_resize(PikaObj *self, PikaObj* image, int resizeType, int
pika_assert(0);
return;
}
if( x <= 0 || y <= 0 ){
if (x <= 0 || y <= 0) {
pika_assert(0);
return;
}
if (src->format != PikaCV_ImageFormat_Type_RGB888) {
PikaCV_Converter_toRGB888(self,image);
}
PikaCV_Converter_toRGB888(self, image);
}
int size_new = x * y * 3;
Arg* arg_data_new = arg_newBytes(NULL, size_new);
Arg* arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
uint8_t* data = _image_getData(image);
uint8_t* data_new = arg_getBytes(arg_data_new);
double scale_x = (double)width / (double)x;
double scale_y = (double)height / (double)y;
if(resizeType == 0){
for (int i = 0; i < y ; ++i)
{
int sy = floor(i * scale_y);
sy = MIN(sy , ( height - 1 ));
for (int j = 0; j < x ; ++j)
{
int sx = floor(j * scale_x);
sx = MIN(sx , ( width - 1 ));
double scale_x = (double)width / (double)x;
double scale_y = (double)height / (double)y;
if (resizeType == 0) {
for (int i = 0; i < y; ++i) {
int sy = floor(i * scale_y);
sy = MIN(sy, (height - 1));
for (int j = 0; j < x; ++j) {
int sx = floor(j * scale_x);
sx = MIN(sx, (width - 1));
data_new[i * x * 3 + j * 3]=data[sy * width * 3 + sx * 3];
data_new[i * x * 3 + j * 3 + 1]=data[sy * width * 3 + sx * 3 + 1];
data_new[i * x * 3 + j * 3 + 2]=data[sy * width * 3 + sx * 3 + 2];
}
}
}else{
data_new[i * x * 3 + j * 3] = data[sy * width * 3 + sx * 3];
data_new[i * x * 3 + j * 3 + 1] =
data[sy * width * 3 + sx * 3 + 1];
data_new[i * x * 3 + j * 3 + 2] =
data[sy * width * 3 + sx * 3 + 2];
}
}
} else {
pika_assert(0);
return;
}
src->height = y;
src->width = x;
src->size = size_new;
obj_setBytes(image, "_data", data_new, size_new);
arg_deinit(arg_data_new);
}
#undef MAX
#undef MIN
void PikaCV_Transforms_adaptiveThreshold(PikaObj *self, int c, PikaObj* image, int maxval, int method, int subsize){
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){
if (c < 0 || c > 255) {
pika_assert(0);
return;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
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* src_copy;
src_copy = (uint8_t*)calloc(size, 1);
memcpy(src_copy, src_data, size);
if (method == 0) {
PikaCV_Filter_meanFilter(self, image, subsize, subsize); //均值滤波
} else if (method == 1) {
PikaCV_Filter_medianFilter(self, image); //中值滤波
} else {
free(src_copy);
return;
}
/* update size after filter */
size = src->size;
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++) {
uint8_t result = smooth_data[i] - (uint8_t)c;
smooth_data[i] =
((result < MIN(smooth_data[i], (uint8_t)c)) ? 0 : result);
}
for(int i=0;i<size;i++){
src_data[i] = src_data[i] > smooth_data[i] ? maxval : 0 ;
for (int i = 0; i < size; i++) {
src_copy[i] = ((src_copy[i] > smooth_data[i]) ? (uint8_t)maxval : 0);
}
obj_setBytes(image, "_data", src_data, src->size);
obj_setBytes(image, "_data", src_copy, size);
free(src_copy);
}
#undef MAX
#undef MIN

235
port/linux/package/pikascript/pikascript-lib/PikaCV/PikaCV_Transforms.c
View File

@ -37,48 +37,47 @@ void PikaCV_Transforms_rotateDown(PikaObj* self, PikaObj* image) {
arg_deinit(arg_data_new);
}
void PikaCV_Transforms_threshold(PikaObj *self, PikaObj* image, int maxval, int thre, int thresholdType){
void PikaCV_Transforms_threshold(PikaObj* self,
PikaObj* image,
int maxval,
int thre,
int thresholdType) {
PikaCV_Image* src = obj_getStruct(image, "image");
if (NULL == src) {
pika_assert(0);
return;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
uint8_t* src_data = _image_getData(image);
int i;
if(thresholdType == 0 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? maxval : 0 ;
if (thresholdType == 0) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? maxval : 0;
}
}
else if(thresholdType == 1 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? 0 : maxval ;
} else if (thresholdType == 1) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? 0 : maxval;
}
}
else if(thresholdType == 2 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? thre : src_data[i] ;
} else if (thresholdType == 2) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? thre : src_data[i];
}
}
else if(thresholdType == 3 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? src_data[i] : 0 ;
} else if (thresholdType == 3) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? src_data[i] : 0;
}
}
else if(thresholdType == 4 ){
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? 0 : src_data[i] ;
} else if (thresholdType == 4) {
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? 0 : src_data[i];
}
}
else if(thresholdType == 5 ){
PikaCV_Transforms_setOTSU(self,image);
}else{
} else if (thresholdType == 5) {
PikaCV_Transforms_setOTSU(self, image);
} else {
pika_assert(0);
return;
}
@ -86,7 +85,12 @@ void PikaCV_Transforms_threshold(PikaObj *self, PikaObj* image, int maxval, int
obj_setBytes(image, "_data", src_data, src->size);
}
void PikaCV_Transforms_setROI(PikaObj *self, int h, PikaObj* image, int w, int x, int y){
void PikaCV_Transforms_setROI(PikaObj* self,
int h,
PikaObj* image,
int w,
int x,
int y) {
PikaCV_Image* src = obj_getStruct(image, "image");
int width = src->width;
int height = src->height;
@ -96,13 +100,13 @@ void PikaCV_Transforms_setROI(PikaObj *self, int h, PikaObj* image, int w, int x
return;
}
if (src->format != PikaCV_ImageFormat_Type_RGB888) {
PikaCV_Converter_toRGB888(self,image);
PikaCV_Converter_toRGB888(self, image);
}
if( x <= 0 || y <= 0 || w <= 0 || h <= 0){
if (x <= 0 || y <= 0 || w <= 0 || h <= 0) {
pika_assert(0);
return;
}
if( x + w > width || y + h > height ){
if (x + w > width || y + h > height) {
pika_assert(0);
return;
}
@ -112,64 +116,65 @@ void PikaCV_Transforms_setROI(PikaObj *self, int h, PikaObj* image, int w, int x
uint8_t* data = _image_getData(image);
uint8_t* data_new = arg_getBytes(arg_data_new);
for(int i = 0 ; i < h ; i++){
for(int j = 0 ; j < w ; j++){
data_new[i * 3 * w + j * 3] = data[ (i + y - 1 ) * width * 3 + (j + x - 1 ) * 3 ];
data_new[i * 3 * w + j * 3 + 1] = data[ (i + y - 1 ) * width * 3 + ( j + x - 1 ) * 3 + 1];
data_new[i * 3 * w + j * 3 + 2] = data[ (i + y - 1 ) * width * 3 + ( j + x - 1 ) * 3 + 2];
for (int i = 0; i < h; i++) {
for (int j = 0; j < w; j++) {
data_new[i * 3 * w + j * 3] =
data[(i + y - 1) * width * 3 + (j + x - 1) * 3];
data_new[i * 3 * w + j * 3 + 1] =
data[(i + y - 1) * width * 3 + (j + x - 1) * 3 + 1];
data_new[i * 3 * w + j * 3 + 2] =
data[(i + y - 1) * width * 3 + (j + x - 1) * 3 + 2];
}
}
src->height = h;
src->width = w;
src->size = size_new;
obj_setBytes(image, "_data", data_new, size_new);
arg_deinit(arg_data_new);
}
int PikaCV_Transforms_getOTSUthre(PikaObj *self, PikaObj* image){
int PikaCV_Transforms_getOTSUthre(PikaObj* self, PikaObj* image) {
PikaCV_Image* src = obj_getStruct(image, "image");
if (NULL == src) {
pika_assert(0);
return 0;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
const int Grayscale=256;
const int Grayscale = 256;
int width = src->width;
int height = src->height;
int size = src->size;
int threshold = 0;
int graynum[256] = { 0 };
int graynum[256] = {0};
uint8_t* data = _image_getData(image);
for(int i=0 ; i < size ; i++){
for (int i = 0; i < size; i++) {
graynum[data[i]]++;
}
double P[256] = { 0.0 };
double PK[256] = { 0.0 };
double MK[256] = { 0.0 };
double srcpixnum = width*height, sumtmpPK = 0, sumtmpMK = 0;
for (int i = 0; i < Grayscale; ++i){
double P[256] = {0.0};
double PK[256] = {0.0};
double MK[256] = {0.0};
double srcpixnum = width * height, sumtmpPK = 0, sumtmpMK = 0;
for (int i = 0; i < Grayscale; ++i) {
P[i] = graynum[i] / srcpixnum;
PK[i] = sumtmpPK + P[i];
PK[i] = sumtmpPK + P[i];
sumtmpPK = PK[i];
MK[i] = sumtmpMK + i*P[i];
MK[i] = sumtmpMK + i * P[i];
sumtmpMK = MK[i];
}
double Var=0;
for (int k = 0; k < Grayscale; ++k){
if(PK[k] > 0.0)
{
double t = MK[Grayscale-1] * PK[k] - MK[k];
double Var = 0;
for (int k = 0; k < Grayscale; ++k) {
if (PK[k] > 0.0) {
double t = MK[Grayscale - 1] * PK[k] - MK[k];
double w = PK[k] * (1 - PK[k]);
double variance = t * t / w ;
if (variance > Var){
Var = variance ;
double variance = t * t / w;
if (variance > Var) {
Var = variance;
threshold = k;
}
}
@ -178,7 +183,7 @@ int PikaCV_Transforms_getOTSUthre(PikaObj *self, PikaObj* image){
return threshold;
}
void PikaCV_Transforms_setOTSU(PikaObj *self, PikaObj* image){
void PikaCV_Transforms_setOTSU(PikaObj* self, PikaObj* image) {
PikaCV_Image* src = obj_getStruct(image, "image");
if (NULL == src) {
@ -186,15 +191,15 @@ void PikaCV_Transforms_setOTSU(PikaObj *self, PikaObj* image){
return;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
int thre = PikaCV_Transforms_getOTSUthre(self,image);
int thre = PikaCV_Transforms_getOTSUthre(self, image);
uint8_t* src_data = _image_getData(image);
int i;
for (i = 0; i < (src->size) ; i++) {
src_data[i] = src_data[i] > thre ? 255 : 0 ;
for (i = 0; i < (src->size); i++) {
src_data[i] = src_data[i] > thre ? 255 : 0;
}
obj_setBytes(image, "_data", src_data, src->size);
@ -203,7 +208,11 @@ void PikaCV_Transforms_setOTSU(PikaObj *self, PikaObj* image){
#define MAX(a, b) ((a) > (b) ? (a) : (b))
#define MIN(a, b) ((a) < (b) ? (a) : (b))
void PikaCV_Transforms_resize(PikaObj *self, PikaObj* image, int resizeType, int x, int y){
void PikaCV_Transforms_resize(PikaObj* self,
PikaObj* image,
int resizeType,
int x,
int y) {
PikaCV_Image* src = obj_getStruct(image, "image");
int width = src->width;
int height = src->height;
@ -211,92 +220,94 @@ void PikaCV_Transforms_resize(PikaObj *self, PikaObj* image, int resizeType, int
pika_assert(0);
return;
}
if( x <= 0 || y <= 0 ){
if (x <= 0 || y <= 0) {
pika_assert(0);
return;
}
if (src->format != PikaCV_ImageFormat_Type_RGB888) {
PikaCV_Converter_toRGB888(self,image);
}
PikaCV_Converter_toRGB888(self, image);
}
int size_new = x * y * 3;
Arg* arg_data_new = arg_setBytes(NULL, "", NULL, size_new);
uint8_t* data = _image_getData(image);
uint8_t* data_new = arg_getBytes(arg_data_new);
double scale_x = (double)width / (double)x;
double scale_y = (double)height / (double)y;
if(resizeType == 0){
for (int i = 0; i < y ; ++i)
{
int sy = floor(i * scale_y);
sy = MIN(sy , ( height - 1 ));
for (int j = 0; j < x ; ++j)
{
int sx = floor(j * scale_x);
sx = MIN(sx , ( width - 1 ));
double scale_x = (double)width / (double)x;
double scale_y = (double)height / (double)y;
if (resizeType == 0) {
for (int i = 0; i < y; ++i) {
int sy = floor(i * scale_y);
sy = MIN(sy, (height - 1));
for (int j = 0; j < x; ++j) {
int sx = floor(j * scale_x);
sx = MIN(sx, (width - 1));
data_new[i * x * 3 + j * 3]=data[sy * width * 3 + sx * 3];
data_new[i * x * 3 + j * 3 + 1]=data[sy * width * 3 + sx * 3 + 1];
data_new[i * x * 3 + j * 3 + 2]=data[sy * width * 3 + sx * 3 + 2];
}
}
}else{
data_new[i * x * 3 + j * 3] = data[sy * width * 3 + sx * 3];
data_new[i * x * 3 + j * 3 + 1] =
data[sy * width * 3 + sx * 3 + 1];
data_new[i * x * 3 + j * 3 + 2] =
data[sy * width * 3 + sx * 3 + 2];
}
}
} else {
pika_assert(0);
return;
}
src->height = y;
src->width = x;
src->size = size_new;
obj_setBytes(image, "_data", data_new, size_new);
arg_deinit(arg_data_new);
}
void PikaCV_Transforms_adaptiveThreshold(PikaObj *self, int c, PikaObj* image, int maxval, int method, int subsize){
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 < 0 || c > 255){
if (c < 0 || c > 255) {
pika_assert(0);
return;
}
if (src->format != PikaCV_ImageFormat_Type_GRAY) {
PikaCV_Converter_toGray(self,image);
PikaCV_Converter_toGray(self, image);
}
int size = src->size;
uint8_t* src_data = _image_getData(image);
uint8_t* src_copy ;
src_copy = (uint8_t *)calloc(size,1);
uint8_t* src_copy;
src_copy = (uint8_t*)calloc(size, 1);
memcpy(src_copy,src_data,size);
memcpy(src_copy, src_data, size);
if (method==0)
{
PikaCV_Filter_meanFilter(self,image,subsize,subsize); //均值滤波
}
else if(method == 1){
PikaCV_Filter_medianFilter(self,image); //中值滤波
}
else{
if (method == 0) {
PikaCV_Filter_meanFilter(self, image, subsize, subsize); //均值滤波
} else if (method == 1) {
PikaCV_Filter_medianFilter(self, image); //中值滤波
} else {
free(src_copy);
return;
}
uint8_t* smooth_data = _image_getData(image);
for(int i=0;i<size;i++){
uint8_t result = smooth_data[i] - (uint8_t)c;
smooth_data[i] = ((result < MIN(smooth_data[i], (uint8_t)c)) ? 0 : result);
}
for(int i=0;i<size;i++){
src_copy[i] = ((src_copy[i] > smooth_data[i]) ? (uint8_t)maxval : 0) ;
/* update size after filter */
size = src->size;
uint8_t* smooth_data = _image_getData(image);
for (int i = 0; i < size; i++) {
uint8_t result = smooth_data[i] - (uint8_t)c;
smooth_data[i] =
((result < MIN(smooth_data[i], (uint8_t)c)) ? 0 : result);
}
for (int i = 0; i < size; i++) {
src_copy[i] = ((src_copy[i] > smooth_data[i]) ? (uint8_t)maxval : 0);
}
obj_setBytes(image, "_data", src_copy, size);

2
port/linux/test/PikaCV-test.cpp
View File

@ -136,7 +136,7 @@ TEST(PikaCV, test9) {
}
//! test faild in valgrind.sh, need fix.
#if 0
#if 1
TEST(PikaCV, test10) {
/* init */
pikaMemInfo.heapUsedMax = 0;