Commit 5728612f authored by Jin Ma's avatar Jin Ma

Removed the trailing whitespace

parent 1e8194fd
...@@ -46,7 +46,7 @@ ...@@ -46,7 +46,7 @@
#include "precomp.hpp" #include "precomp.hpp"
using namespace cv; using namespace cv;
using namespace cv::ocl; using namespace cv::ocl;
namespace cv namespace cv
{ {
namespace ocl namespace ocl
{ {
...@@ -82,10 +82,10 @@ namespace cv { namespace ocl { namespace device ...@@ -82,10 +82,10 @@ namespace cv { namespace ocl { namespace device
void getBackgroundImage_ocl(int cn, const oclMat& weight, const oclMat& mean, oclMat& dst, int nmixtures, float backgroundRatio); void getBackgroundImage_ocl(int cn, const oclMat& weight, const oclMat& mean, oclMat& dst, int nmixtures, float backgroundRatio);
void loadConstants(float Tb, float TB, float Tg, float varInit, float varMin, float varMax, float tau, void loadConstants(float Tb, float TB, float Tg, float varInit, float varMin, float varMax, float tau,
unsigned char shadowVal); unsigned char shadowVal);
void mog2_ocl(const oclMat& frame, int cn, oclMat& fgmask, oclMat& modesUsed, oclMat& weight, oclMat& variance, oclMat& mean, void mog2_ocl(const oclMat& frame, int cn, oclMat& fgmask, oclMat& modesUsed, oclMat& weight, oclMat& variance, oclMat& mean,
float alphaT, float prune, bool detectShadows, int nmixtures); float alphaT, float prune, bool detectShadows, int nmixtures);
void getBackgroundImage2_ocl(int cn, const oclMat& modesUsed, const oclMat& weight, const oclMat& mean, oclMat& dst, int nmixtures); void getBackgroundImage2_ocl(int cn, const oclMat& modesUsed, const oclMat& weight, const oclMat& mean, oclMat& dst, int nmixtures);
...@@ -392,11 +392,11 @@ void cv::ocl::device::mog::loadConstants(float Tb, float TB, float Tg, float var ...@@ -392,11 +392,11 @@ void cv::ocl::device::mog::loadConstants(float Tb, float TB, float Tg, float var
constants->c_tau = tau; constants->c_tau = tau;
constants->c_shadowVal = shadowVal; constants->c_shadowVal = shadowVal;
cl_constants = load_constant(*((cl_context*)getoclContext()), *((cl_command_queue*)getoclCommandQueue()), cl_constants = load_constant(*((cl_context*)getoclContext()), *((cl_command_queue*)getoclCommandQueue()),
(void *)constants, sizeof(_contant_struct)); (void *)constants, sizeof(_contant_struct));
} }
void cv::ocl::device::mog::mog2_ocl(const oclMat& frame, int cn, oclMat& fgmaskRaw, oclMat& modesUsed, oclMat& weight, oclMat& variance, void cv::ocl::device::mog::mog2_ocl(const oclMat& frame, int cn, oclMat& fgmaskRaw, oclMat& modesUsed, oclMat& weight, oclMat& variance,
oclMat& mean, float alphaT, float prune, bool detectShadows, int nmixtures) oclMat& mean, float alphaT, float prune, bool detectShadows, int nmixtures)
{ {
oclMat fgmask(fgmaskRaw.size(), CV_32SC1); oclMat fgmask(fgmaskRaw.size(), CV_32SC1);
...@@ -635,5 +635,4 @@ void cv::ocl::MOG2::release() ...@@ -635,5 +635,4 @@ void cv::ocl::MOG2::release()
mean_.release(); mean_.release();
bgmodelUsedModes_.release(); bgmodelUsedModes_.release();
} }
\ No newline at end of file
...@@ -134,7 +134,7 @@ __kernel void mog_withoutLearning_kernel(__global T_FRAME* frame, __global uchar ...@@ -134,7 +134,7 @@ __kernel void mog_withoutLearning_kernel(__global T_FRAME* frame, __global uchar
__global float* weight, __global T_MEAN_VAR* mean, __global T_MEAN_VAR* var, __global float* weight, __global T_MEAN_VAR* mean, __global T_MEAN_VAR* var,
int frame_row, int frame_col, int frame_step, int fgmask_step, int frame_row, int frame_col, int frame_step, int fgmask_step,
int weight_step, int mean_step, int var_step, int weight_step, int mean_step, int var_step,
float varThreshold, float backgroundRatio, int fgmask_offset_x, float varThreshold, float backgroundRatio, int fgmask_offset_x,
int fgmask_offset_y, int frame_offset_x, int frame_offset_y) int fgmask_offset_y, int frame_offset_x, int frame_offset_y)
{ {
int x = get_global_id(0); int x = get_global_id(0);
...@@ -142,7 +142,6 @@ __kernel void mog_withoutLearning_kernel(__global T_FRAME* frame, __global uchar ...@@ -142,7 +142,6 @@ __kernel void mog_withoutLearning_kernel(__global T_FRAME* frame, __global uchar
if (x < frame_col && y < frame_row) if (x < frame_col && y < frame_row)
{ {
T_MEAN_VAR pix = cvt(frame[(y + frame_offset_y) * frame_step + (x + frame_offset_x)]); T_MEAN_VAR pix = cvt(frame[(y + frame_offset_y) * frame_step + (x + frame_offset_x)]);
int kHit = -1; int kHit = -1;
...@@ -179,20 +178,18 @@ __kernel void mog_withoutLearning_kernel(__global T_FRAME* frame, __global uchar ...@@ -179,20 +178,18 @@ __kernel void mog_withoutLearning_kernel(__global T_FRAME* frame, __global uchar
} }
} }
} }
if(kHit < 0 || kHit >= kForeground) if(kHit < 0 || kHit >= kForeground)
fgmask[(y + fgmask_offset_y) * fgmask_step + (x + fgmask_offset_x)] = (uchar) (-1); fgmask[(y + fgmask_offset_y) * fgmask_step + (x + fgmask_offset_x)] = (uchar) (-1);
else else
fgmask[(y + fgmask_offset_y) * fgmask_step + (x + fgmask_offset_x)] = (uchar) (0); fgmask[(y + fgmask_offset_y) * fgmask_step + (x + fgmask_offset_x)] = (uchar) (0);
} }
} }
__kernel void mog_withLearning_kernel(__global T_FRAME* frame, __global int* fgmask, __kernel void mog_withLearning_kernel(__global T_FRAME* frame, __global int* fgmask,
__global float* weight, __global float* sortKey, __global T_MEAN_VAR* mean, __global float* weight, __global float* sortKey, __global T_MEAN_VAR* mean,
__global T_MEAN_VAR* var, int frame_row, int frame_col, int frame_step, int fgmask_step, __global T_MEAN_VAR* var, int frame_row, int frame_col, int frame_step, int fgmask_step,
int weight_step, int sortKey_step, int mean_step, int var_step, int weight_step, int sortKey_step, int mean_step, int var_step,
float varThreshold, float backgroundRatio, float learningRate, float minVar, float varThreshold, float backgroundRatio, float learningRate, float minVar,
int fgmask_offset_x, int fgmask_offset_y, int frame_offset_x, int frame_offset_y) int fgmask_offset_x, int fgmask_offset_y, int frame_offset_x, int frame_offset_y)
{ {
const float w0 = 0.05f; const float w0 = 0.05f;
...@@ -322,7 +319,7 @@ __kernel void mog_withLearning_kernel(__global T_FRAME* frame, __global int* fgm ...@@ -322,7 +319,7 @@ __kernel void mog_withLearning_kernel(__global T_FRAME* frame, __global int* fgm
__kernel void getBackgroundImage_kernel(__global float* weight, __global T_MEAN_VAR* mean, __global T_FRAME* dst, __kernel void getBackgroundImage_kernel(__global float* weight, __global T_MEAN_VAR* mean, __global T_FRAME* dst,
int dst_row, int dst_col, int weight_step, int mean_step, int dst_step, int dst_row, int dst_col, int weight_step, int mean_step, int dst_step,
float backgroundRatio) float backgroundRatio)
{ {
int x = get_global_id(0); int x = get_global_id(0);
...@@ -351,8 +348,8 @@ __kernel void getBackgroundImage_kernel(__global float* weight, __global T_MEAN_ ...@@ -351,8 +348,8 @@ __kernel void getBackgroundImage_kernel(__global float* weight, __global T_MEAN_
} }
__kernel void mog2_kernel(__global T_FRAME * frame, __global int* fgmask, __global float* weight, __global T_MEAN_VAR * mean, __kernel void mog2_kernel(__global T_FRAME * frame, __global int* fgmask, __global float* weight, __global T_MEAN_VAR * mean,
__global int* modesUsed, __global float* variance, int frame_row, int frame_col, int frame_step, __global int* modesUsed, __global float* variance, int frame_row, int frame_col, int frame_step,
int fgmask_step, int weight_step, int mean_step, int modesUsed_step, int var_step, float alphaT, float alpha1, float prune, int fgmask_step, int weight_step, int mean_step, int modesUsed_step, int var_step, float alphaT, float alpha1, float prune,
int detectShadows_flag, int fgmask_offset_x, int fgmask_offset_y, int frame_offset_x, int frame_offset_y, __constant con_srtuct_t* constants) int detectShadows_flag, int fgmask_offset_x, int fgmask_offset_y, int frame_offset_x, int frame_offset_y, __constant con_srtuct_t* constants)
{ {
int x = get_global_id(0); int x = get_global_id(0);
...@@ -505,7 +502,7 @@ __kernel void mog2_kernel(__global T_FRAME * frame, __global int* fgmask, __glob ...@@ -505,7 +502,7 @@ __kernel void mog2_kernel(__global T_FRAME * frame, __global int* fgmask, __glob
} }
__kernel void getBackgroundImage2_kernel(__global int* modesUsed, __global float* weight, __global T_MEAN_VAR* mean, __kernel void getBackgroundImage2_kernel(__global int* modesUsed, __global float* weight, __global T_MEAN_VAR* mean,
__global T_FRAME* dst, float c_TB, int modesUsed_row, int modesUsed_col, int modesUsed_step, int weight_step, __global T_FRAME* dst, float c_TB, int modesUsed_row, int modesUsed_col, int modesUsed_step, int weight_step,
int mean_step, int dst_step, int dst_x, int dst_y) int mean_step, int dst_step, int dst_x, int dst_y)
{ {
int x = get_global_id(0); int x = get_global_id(0);
......
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