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@@ -18,19 +18,14 @@
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//------------------------------------------------------------------------------------
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// Program main entry point
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//------------------------------------------------------------------------------------
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-void normalizeKernel(float *kernel, int size){
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+void NormalizeKernel(float *kernel, int size)
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+{
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float sum = 0.0f;
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- for(int i = 0; i < size; i++)
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- {
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- sum += kernel[i];
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- }
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+ for (int i = 0; i < size; i++) sum += kernel[i];
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- if(sum != 0.0f)
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+ if (sum != 0.0f)
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{
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- for(int i = 0; i < size; i++)
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- {
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- kernel[i] /= sum;
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- }
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+ for (int i = 0; i < size; i++) kernel[i] /= sum;
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}
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}
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@@ -38,29 +33,31 @@ int main(void)
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{
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// Initialization
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//--------------------------------------------------------------------------------------
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-
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- Image image = LoadImage("resources/cat.png"); // Loaded in CPU memory (RAM)
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-
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const int screenWidth = 800;
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const int screenHeight = 450;
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InitWindow(screenWidth, screenHeight, "raylib [textures] example - image convolution");
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+
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+ Image image = LoadImage("resources/cat.png"); // Loaded in CPU memory (RAM)
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- float gaussiankernel[] = {1.0, 2.0, 1.0,
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- 2.0, 4.0, 2.0,
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- 1.0, 2.0, 1.0};
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+ float gaussiankernel[] = {
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+ 1.0f, 2.0f, 1.0f,
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+ 2.0f, 4.0f, 2.0f,
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+ 1.0f, 2.0f, 1.0f };
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- float sobelkernel[] = {1.0, 0.0, -1.0,
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- 2.0, 0.0, -2.0,
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- 1.0, 0.0, -1.0};
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+ float sobelkernel[] = {
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+ 1.0f, 0.0f, -1.0f,
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+ 2.0f, 0.0f, -2.0f,
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+ 1.0f, 0.0f, -1.0f };
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- float sharpenkernel[] = {0.0, -1.0, 0.0,
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- -1.0, 5.0, -1.0,
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- 0.0, -1.0, 0.0};
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+ float sharpenkernel[] = {
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+ 0.0f, -1.0f, 0.0f,
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+ -1.0f, 5.0f, -1.0f,
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+ 0.0f, -1.0f, 0.0f };
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- normalizeKernel(gaussiankernel, 9);
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- normalizeKernel(sharpenkernel, 9);
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- normalizeKernel(sobelkernel, 9);
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+ NormalizeKernel(gaussiankernel, 9);
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+ NormalizeKernel(sharpenkernel, 9);
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+ NormalizeKernel(sobelkernel, 9);
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Image catSharpend = ImageCopy(image);
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ImageKernelConvolution(&catSharpend, sharpenkernel, 9);
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@@ -69,7 +66,8 @@ int main(void)
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ImageKernelConvolution(&catSobel, sobelkernel, 9);
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Image catGaussian = ImageCopy(image);
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- for(int i = 0; i < 6; i++)
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+
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+ for (int i = 0; i < 6; i++)
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{
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ImageKernelConvolution(&catGaussian, gaussiankernel, 9);
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}
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@@ -78,11 +76,16 @@ int main(void)
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ImageCrop(&catGaussian, (Rectangle){ 0, 0, (float)200, (float)450 });
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ImageCrop(&catSobel, (Rectangle){ 0, 0, (float)200, (float)450 });
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ImageCrop(&catSharpend, (Rectangle){ 0, 0, (float)200, (float)450 });
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- Texture2D texture = LoadTextureFromImage(image); // Image converted to texture, GPU memory (VRAM)
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+
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+ // Images converted to texture, GPU memory (VRAM)
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+ Texture2D texture = LoadTextureFromImage(image);
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Texture2D catSharpendTexture = LoadTextureFromImage(catSharpend);
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Texture2D catSobelTexture = LoadTextureFromImage(catSobel);
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Texture2D catGaussianTexture = LoadTextureFromImage(catGaussian);
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- UnloadImage(image); // Once image has been converted to texture and uploaded to VRAM, it can be unloaded from RAM
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+
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+ // Once images have been converted to texture and uploaded to VRAM,
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+ // they can be unloaded from RAM
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+ UnloadImage(image);
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UnloadImage(catGaussian);
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UnloadImage(catSobel);
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UnloadImage(catSharpend);
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@@ -115,7 +118,7 @@ int main(void)
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// De-Initialization
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//--------------------------------------------------------------------------------------
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- UnloadTexture(texture); // Texture unloading
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+ UnloadTexture(texture);
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UnloadTexture(catGaussianTexture);
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UnloadTexture(catSobelTexture);
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UnloadTexture(catSharpendTexture);
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