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@ -12,13 +12,12 @@ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include <cmath>
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#include <stdlib.h>
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#include "hl_cuda.h"
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#include "hl_time.h"
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#include <cmath>
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#include "hl_base.h"
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#include "hl_cuda.h"
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#include "hl_perturbation_util.cuh"
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#include "hl_time.h"
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#define _USE_MATH_DEFINES
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@ -30,10 +29,16 @@ limitations under the License. */
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* centerX, centerY: translation.
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* sourceX, sourceY: output coordinates in the original image.
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*/
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__device__ void getTranformCoord(int x, int y, real theta, real scale,
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real tgtCenter, real imgCenter,
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real centerR, real centerC,
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int* sourceX, int* sourceY) {
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__device__ void getTranformCoord(int x,
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int y,
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real theta,
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real scale,
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real tgtCenter,
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real imgCenter,
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real centerR,
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real centerC,
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int* sourceX,
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int* sourceY) {
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real H[4] = {cosf(-theta), -sinf(-theta), sinf(-theta), cosf(-theta)};
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// compute coornidates in the rotated and scaled image
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@ -57,11 +62,17 @@ __device__ void getTranformCoord(int x, int y, real theta, real scale,
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* created by Wei Xu (genome), converted by Jiang Wang
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*/
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__global__ void kSamplingPatches(const real* imgs, real* targets,
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int imgSize, int tgtSize, const int channels,
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int samplingRate, const real* thetas,
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const real* scales, const int* centerRs,
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const int* centerCs, const real padValue,
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__global__ void kSamplingPatches(const real* imgs,
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real* targets,
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int imgSize,
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int tgtSize,
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const int channels,
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int samplingRate,
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const real* thetas,
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const real* scales,
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const int* centerRs,
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const int* centerCs,
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const real padValue,
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const int numImages) {
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const int caseIdx = blockIdx.x * 4 + threadIdx.x;
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const int pxIdx = blockIdx.y * 128 + threadIdx.y;
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@ -80,8 +91,15 @@ __global__ void kSamplingPatches(const real* imgs, real* targets,
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const int pxY = pxIdx / tgtSize;
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int srcPxX, srcPxY;
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getTranformCoord(pxX, pxY, thetas[imgIdx], scales[imgIdx], tgtCenter,
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imgCenter, centerCs[caseIdx], centerRs[caseIdx], &srcPxX,
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getTranformCoord(pxX,
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pxY,
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thetas[imgIdx],
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scales[imgIdx],
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tgtCenter,
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imgCenter,
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centerCs[caseIdx],
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centerRs[caseIdx],
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&srcPxX,
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&srcPxY);
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imgs += (imgIdx * imgPixels + srcPxY * imgSize + srcPxX) * channels;
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@ -100,10 +118,15 @@ __global__ void kSamplingPatches(const real* imgs, real* targets,
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*
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* created by Wei Xu
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*/
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void hl_generate_disturb_params(real*& gpuAngle, real*& gpuScaleRatio,
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int*& gpuCenterR, int*& gpuCenterC,
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int numImages, int imgSize, real rotateAngle,
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real scaleRatio, int samplingRate,
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void hl_generate_disturb_params(real*& gpuAngle,
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real*& gpuScaleRatio,
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int*& gpuCenterR,
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int*& gpuCenterC,
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int numImages,
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int imgSize,
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real rotateAngle,
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real scaleRatio,
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int samplingRate,
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bool isTrain) {
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// The number of output samples.
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int numPatches = numImages * samplingRate;
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@ -123,7 +146,8 @@ void hl_generate_disturb_params(real*& gpuAngle, real*& gpuScaleRatio,
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for (int i = 0; i < numImages; i++) {
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r_angle[i] =
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(rotateAngle * M_PI / 180.0) * (rand() / (RAND_MAX + 1.0) // NOLINT
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- 0.5);
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-
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0.5);
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s_ratio[i] =
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1 + (rand() / (RAND_MAX + 1.0) - 0.5) * scaleRatio; // NOLINT
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}
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@ -140,8 +164,10 @@ void hl_generate_disturb_params(real*& gpuAngle, real*& gpuScaleRatio,
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int pxY =
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(int)(real(imgSize - 1) * rand() / (RAND_MAX + 1.0)); // NOLINT
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const real H[4] = {cos(-r_angle[i]), -sin(-r_angle[i]),
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sin(-r_angle[i]), cos(-r_angle[i])};
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const real H[4] = {cos(-r_angle[i]),
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-sin(-r_angle[i]),
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sin(-r_angle[i]),
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cos(-r_angle[i])};
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real x = pxX - imgCenter;
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real y = pxY - imgCenter;
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real xx = H[0] * x + H[1] * y;
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@ -185,9 +211,12 @@ void hl_generate_disturb_params(real*& gpuAngle, real*& gpuScaleRatio,
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delete[] center_c;
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}
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void hl_conv_random_disturb_with_params(const real* images, int imgSize,
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int tgtSize, int channels,
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int numImages, int samplingRate,
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void hl_conv_random_disturb_with_params(const real* images,
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int imgSize,
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int tgtSize,
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int channels,
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int numImages,
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int samplingRate,
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const real* gpuRotationAngle,
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const real* gpuScaleRatio,
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const int* gpuCenterR,
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@ -202,29 +231,59 @@ void hl_conv_random_disturb_with_params(const real* images, int imgSize,
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dim3 threadsPerBlock(4, 128);
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dim3 numBlocks(DIVUP(numPatches, 4), DIVUP(targetSize, 128));
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kSamplingPatches <<<numBlocks, threadsPerBlock>>>
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(images, target, imgSize, tgtSize, channels, samplingRate,
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gpuRotationAngle, gpuScaleRatio, gpuCenterR, gpuCenterC,
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paddingValue, numImages);
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kSamplingPatches<<<numBlocks, threadsPerBlock>>>(images,
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target,
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imgSize,
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tgtSize,
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channels,
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samplingRate,
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gpuRotationAngle,
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gpuScaleRatio,
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gpuCenterR,
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gpuCenterC,
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paddingValue,
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numImages);
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hl_device_synchronize();
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}
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void hl_conv_random_disturb(const real* images, int imgSize,
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int tgtSize, int channels, int numImages,
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real scaleRatio, real rotateAngle,
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int samplingRate, real* gpu_r_angle,
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real* gpu_s_ratio, int* gpu_center_r,
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int* gpu_center_c, int paddingValue,
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bool isTrain, real* targets) {
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void hl_conv_random_disturb(const real* images,
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int imgSize,
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int tgtSize,
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int channels,
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int numImages,
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real scaleRatio,
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real rotateAngle,
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int samplingRate,
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real* gpu_r_angle,
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real* gpu_s_ratio,
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int* gpu_center_r,
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int* gpu_center_c,
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int paddingValue,
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bool isTrain,
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real* targets) {
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// generate the random disturbance sequence and the sampling locations
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hl_generate_disturb_params(gpu_r_angle, gpu_s_ratio, gpu_center_r,
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gpu_center_c, numImages, imgSize, rotateAngle,
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scaleRatio, samplingRate, isTrain);
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hl_conv_random_disturb_with_params(
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images, imgSize, tgtSize, channels, numImages,
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samplingRate, gpu_r_angle, gpu_s_ratio,
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gpu_center_r, gpu_center_r, paddingValue,
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targets);
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hl_generate_disturb_params(gpu_r_angle,
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gpu_s_ratio,
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gpu_center_r,
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gpu_center_c,
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numImages,
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imgSize,
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rotateAngle,
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scaleRatio,
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samplingRate,
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isTrain);
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hl_conv_random_disturb_with_params(images,
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imgSize,
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tgtSize,
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channels,
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numImages,
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samplingRate,
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gpu_r_angle,
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gpu_s_ratio,
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gpu_center_r,
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gpu_center_r,
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paddingValue,
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targets);
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}
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caoying03
8 years ago
