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REVIEWED: ImageKernelConvolution(), formating and warnings

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Ray 2024-01-15 20:32:46 +01:00
parent d2b1256e5c
commit c57b8d5a6a
1 changed files with 40 additions and 52 deletions
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68
src/rtextures.c
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@ -2135,11 +2135,12 @@ void ImageBlurGaussian(Image *image, int blurSize) {
} }
// The kernel matrix is assumed to be square. Only supply the width of the kernel. // The kernel matrix is assumed to be square. Only supply the width of the kernel.
void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize)
{
if ((image->data == NULL) || (image->width == 0) || (image->height == 0) || kernel == NULL) return; if ((image->data == NULL) || (image->width == 0) || (image->height == 0) || kernel == NULL) return;
int kernelWidth = (int)sqrtf((float)kernelSize); int kernelWidth = (int)sqrtf((float)kernelSize);
if (kernelWidth*kernelWidth != kernelSize) if (kernelWidth*kernelWidth != kernelSize)
{ {
TRACELOG(LOG_WARNING, "IMAGE: Convolution kernel must be square to be applied"); TRACELOG(LOG_WARNING, "IMAGE: Convolution kernel must be square to be applied");
@ -2152,7 +2153,8 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
Vector4 *temp = RL_MALLOC(kernelSize*sizeof(Vector4)); Vector4 *temp = RL_MALLOC(kernelSize*sizeof(Vector4));
for(int i = 0; i < kernelSize; i++){ for (int i = 0; i < kernelSize; i++)
{
temp[i].x = 0.0f; temp[i].x = 0.0f;
temp[i].y = 0.0f; temp[i].y = 0.0f;
temp[i].z = 0.0f; temp[i].z = 0.0f;
@ -2164,35 +2166,40 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
float bRes = 0.0f; float bRes = 0.0f;
float aRes = 0.0f; float aRes = 0.0f;
int startRange = 0, endRange = 0;
int startRange, endRange;
if (kernelWidth%2 == 0) if (kernelWidth%2 == 0)
{ {
startRange = -kernelWidth/2; startRange = -kernelWidth/2;
endRange = kernelWidth/2; endRange = kernelWidth/2;
} else }
else
{ {
startRange = -kernelWidth/2; startRange = -kernelWidth/2;
endRange = kernelWidth/2 + 1; endRange = kernelWidth/2 + 1;
} }
for(int x = 0; x < image->height; x++) for(int x = 0; x < image->height; x++)
{ {
for (int y = 0; y < image->width; y++) for (int y = 0; y < image->width; y++)
{ {
for (int xk = startRange; xk < endRange; xk++) for (int xk = startRange; xk < endRange; xk++)
{ {
for (int yk = startRange; yk < endRange; yk++) for (int yk = startRange; yk < endRange; yk++)
{ {
int xkabs = xk + kernelWidth/2; int xkabs = xk + kernelWidth/2;
int ykabs = yk + kernelWidth/2; int ykabs = yk + kernelWidth/2;
size_t imgindex = image->width * (x+xk) + (y+yk); unsigned int imgindex = image->width*(x + xk) + (y + yk);
if(imgindex < 0 || imgindex >= image->width * image->height){
if (imgindex >= image->width*image->height)
{
temp[kernelWidth * xkabs + ykabs].x = 0.0f; temp[kernelWidth * xkabs + ykabs].x = 0.0f;
temp[kernelWidth * xkabs + ykabs].y = 0.0f; temp[kernelWidth * xkabs + ykabs].y = 0.0f;
temp[kernelWidth * xkabs + ykabs].z = 0.0f; temp[kernelWidth * xkabs + ykabs].z = 0.0f;
temp[kernelWidth * xkabs + ykabs].w = 0.0f; temp[kernelWidth * xkabs + ykabs].w = 0.0f;
} else { }
else
{
temp[kernelWidth * xkabs + ykabs].x = ((float)pixels[imgindex].r)/255.0f*kernel[kernelWidth*xkabs + ykabs]; temp[kernelWidth * xkabs + ykabs].x = ((float)pixels[imgindex].r)/255.0f*kernel[kernelWidth*xkabs + ykabs];
temp[kernelWidth * xkabs + ykabs].y = ((float)pixels[imgindex].g)/255.0f*kernel[kernelWidth*xkabs + ykabs]; temp[kernelWidth * xkabs + ykabs].y = ((float)pixels[imgindex].g)/255.0f*kernel[kernelWidth*xkabs + ykabs];
temp[kernelWidth * xkabs + ykabs].z = ((float)pixels[imgindex].b)/255.0f*kernel[kernelWidth*xkabs + ykabs]; temp[kernelWidth * xkabs + ykabs].z = ((float)pixels[imgindex].b)/255.0f*kernel[kernelWidth*xkabs + ykabs];
@ -2209,36 +2216,18 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
aRes += temp[i].w; aRes += temp[i].w;
} }
if(rRes < 0.0f) if (rRes < 0.0f) rRes = 0.0f;
{ if (gRes < 0.0f) gRes = 0.0f;
rRes = 0.0f; if (bRes < 0.0f) bRes = 0.0f;
}
if(gRes < 0.0f)
{
gRes = 0.0f;
}
if(bRes < 0.0f)
{
bRes = 0.0f;
}
if(rRes > 1.0f) if (rRes > 1.0f) rRes = 1.0f;
{ if (gRes > 1.0f) gRes = 1.0f;
rRes = 1.0f; if (bRes > 1.0f) bRes = 1.0f;
}
if(gRes > 1.0f)
{
gRes = 1.0f;
}
if(bRes > 1.0f)
{
bRes = 1.0f;
}
imageCopy2[image->width * (x) + (y)].x = rRes; imageCopy2[image->width*x + y].x = rRes;
imageCopy2[image->width * (x) + (y)].y = gRes; imageCopy2[image->width*x + y].y = gRes;
imageCopy2[image->width * (x) + (y)].z = bRes; imageCopy2[image->width*x + y].z = bRes;
imageCopy2[image->width * (x) + (y)].w = aRes; imageCopy2[image->width*x + y].w = aRes;
rRes = 0.0f; rRes = 0.0f;
gRes = 0.0f; gRes = 0.0f;
@ -2255,17 +2244,16 @@ void ImageKernelConvolution(Image *image, float* kernel, int kernelSize){
} }
} }
for (int i = 0; i < (image->width) * (image->height); i++) for (int i = 0; i < (image->width*image->height); i++)
{ {
float alpha = (float)imageCopy2[i].w; float alpha = (float)imageCopy2[i].w;
pixels[i].r = (unsigned char)((imageCopy2[i].x)*255.0f); pixels[i].r = (unsigned char)((imageCopy2[i].x)*255.0f);
pixels[i].g = (unsigned char)((imageCopy2[i].y)*255.0f); pixels[i].g = (unsigned char)((imageCopy2[i].y)*255.0f);
pixels[i].b = (unsigned char)((imageCopy2[i].z)*255.0f); pixels[i].b = (unsigned char)((imageCopy2[i].z)*255.0f);
pixels[i].a = (unsigned char)((alpha)*255.0f); pixels[i].a = (unsigned char)((alpha)*255.0f);
// printf("pixels[%d] = %d", i, pixels[i].r);
} }
int format = image->format; int format = image->format;
RL_FREE(image->data); RL_FREE(image->data);
RL_FREE(imageCopy2); RL_FREE(imageCopy2);