segmentation / ivote3

  /*#include "circle_check.cuh"
  
  void test_3(float* gpu_out, float* gpu_grad, float rmax, float phi, int n, int x, int y, int z){
  gpu_test3(gpu_out, gpu_grad, rmax, phi, n, x, y, z);
  }
  */
  
  

  #include "gaussian_blur3.cuh"
  #include "gradient3.cuh"

  #include "mag3.cuh"

  #include "vote3_atomic_aabb.cuh"

  #include "update_dir3_aabb.cuh"

  #include "local_max3.cuh"

  void ivote3(float* img, float sigma[], float anisotropy, float phi, float d_phi, unsigned int r[],

  			int iter, float t, unsigned int conn[], unsigned int x, unsigned int y, unsigned int z){
  

  	cudaSetDevice(1);

  	
  	unsigned int bytes = x * y * z * sizeof(float);				// compute the number of bytes in the input data

  	float* gpuI0;											//assign memory on gpu for the input data

  	cudaMalloc(&gpuI0, bytes);	

  	cudaMemcpy(gpuI0, img, bytes, cudaMemcpyHostToDevice);				//copy the image data to the GPU.

  	
  	gpu_gaussian_blur3<float>(gpuI0, sigma, x, y, z);							//call the blurring function from the gpu.

  	cudaDeviceSynchronize();
  		

  	float* gpu_grad;												//assign memory on the gpu for the gradient along the X, y, z.

  	cudaMalloc(&gpu_grad, bytes*3);
  	

  	gpu_gradient3<float>(gpu_grad, gpuI0, anisotropy, x, y, z);				//call the gradient function from the gpu.

  	cudaFree(gpuI0);
  	

  	float* gpu_vote;
  	cudaMalloc(&gpu_vote, bytes);

  	float cos_phi = cos(phi);
  
  	//call the vote function.
  	for (int i = 0; i < iter; i++){

  	
  		cudaMemset(gpu_vote, 0, bytes);

  		gpu_vote3<float>(gpu_vote, gpu_grad, phi, cos_phi, r, x, y, z);

  		cudaDeviceSynchronize();

  	
  		//if (phi >= d_phi){	

  			gpu_update_dir3<float>(gpu_grad, gpu_vote, phi, cos_phi, r, x, y, z);

  			cudaDeviceSynchronize();
  			phi = phi - d_phi;
  			cos_phi = cos(phi);

  		//}

  	
  	}

  	cudaFree(gpu_grad);	

  	cudaMemcpy(img, gpu_vote, bytes, cudaMemcpyDeviceToHost);

  
  	//allocate space on the gpu for the final detected cells.

  	//float* gpu_output;
  	//cudaMalloc(&gpu_output, bytes);
  
  	////call the local max function
  	//gpu_local_max3<float>(gpu_output, gpu_vote, t, conn, x, y, z);
  
  	////copy the final result to the cpu.
  	//cudaMemcpy(center, gpu_output, bytes, cudaMemcpyDeviceToHost);
  	//	
  	//
  	cudaFree(gpu_vote);
  	//cudaFree(gpu_output);
  	
  }
  
  void lmax(float* out, float* in, float t, unsigned int conn[], unsigned int x, unsigned int y, unsigned int z){
  	unsigned int bytes = x * y * z * sizeof(float);
  

  	cudaSetDevice(1);
  

  	
  	float* gpuV;					//assign memory on gpu for the input data.

  	cudaMalloc(&gpuV, bytes);	
  

  	cudaMemcpy(gpuV, in, bytes, cudaMemcpyHostToDevice);			//copy the image data to the GPU.

  
  	float* gpuOut;
  	cudaMalloc(&gpuOut, bytes);

  	gpu_local_max3<float>(gpuOut, gpuV, t, conn, x, y, z);				//call the local max function

  	cudaMemcpy(out, gpuOut, bytes, cudaMemcpyDeviceToHost);				//copy the final result to the cpu.

  	cudaFree(gpuV);
  	cudaFree(gpuOut);

  }