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C# NPP.NPPImage_16sC3类代码示例

原作者: [db:作者] 来自: [db:来源] 收藏 邀请

本文整理汇总了C#中ManagedCuda.NPP.NPPImage_16sC3的典型用法代码示例。如果您正苦于以下问题:C# NPPImage_16sC3类的具体用法?C# NPPImage_16sC3怎么用?C# NPPImage_16sC3使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。



NPPImage_16sC3类属于ManagedCuda.NPP命名空间,在下文中一共展示了NPPImage_16sC3类的20个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的C#代码示例。

示例1: SwapChannels

		/// <summary>
		/// Swap color channels
		/// </summary>
		/// <param name="dest">Destination image</param>
		/// <param name="aDstOrder">Integer array describing how channel values are permutated. <para/>The n-th entry of the array
		/// contains the number of the channel that is stored in the n-th channel of the output image. <para/>E.g.
		/// Given an RGB image, aDstOrder = [2,1,0] converts this to BGR channel order.</param>
		public void SwapChannels(NPPImage_16sC3 dest, int[] aDstOrder)
		{
			status = NPPNativeMethods.NPPi.SwapChannel.nppiSwapChannels_16s_C3R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, aDstOrder);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSwapChannels_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:13,代码来源:NPPImage_16sC3.cs


示例2: FilterGaussBorder

		/// <summary>
		/// Filters the image using a separable Gaussian filter kernel with user supplied floating point coefficients
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="Kernel">Pointer to an array of nFilterTaps kernel coefficients which sum to 1.0F, where nFilterTaps =  2 * ((int)((float)ceil(radius) + 0.5F) ) + 1.</param>
		/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
		public void FilterGaussBorder(NPPImage_16sC3 dst, CudaDeviceVariable<float> Kernel, NppiBorderType eBorderType)
		{
			status = NPPNativeMethods.NPPi.FilterGaussBorder.nppiFilterGaussAdvancedBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, Kernel.Size, Kernel.DevicePointer, eBorderType);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterGaussAdvancedBorder_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:12,代码来源:NPPImage_16sC3.cs


示例3: Sqrt

		/// <summary>
		/// Image square root, scale by 2^(-nScaleFactor), then clamp to saturated value.
		/// </summary>
		/// <param name="dest">Destination image</param>
		/// <param name="nScaleFactor">scaling factor</param>
		public void Sqrt(NPPImage_16sC3 dest, int nScaleFactor)
		{
			status = NPPNativeMethods.NPPi.Sqrt.nppiSqrt_16s_C3RSfs(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, nScaleFactor);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiSqrt_16s_C3RSfs", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:11,代码来源:NPPImage_16sC3.cs


示例4: FilterColumnBorder

		//New in Cuda 7.0
		#region FilterColumnBorder
		/// <summary>
		/// General purpose 1D convolution column filter with border control.<para/>
		/// Pixels under the mask are multiplied by the respective weights in the mask
		/// and the results are summed. Before writing the result pixel the sum is scaled
		/// back via division by nDivisor. If any portion of the mask overlaps the source
		/// image boundary the requested border type operation is applied to all mask pixels
		/// which fall outside of the source image.
		/// </summary>
		/// <param name="dest">Destination image</param>
		/// <param name="Kernel">Pointer to the start address of the kernel coefficient array. Coeffcients are expected to be stored in reverse order.</param>
		/// <param name="nAnchor">X offset of the kernel origin frame of reference w.r.t the source pixel.</param>
		/// <param name="nDivisor">The factor by which the convolved summation from the Filter operation should be divided. If equal to the sum of coefficients, this will keep the maximum result value within full scale.</param>
		/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
		public void FilterColumnBorder(NPPImage_16sC3 dest, CudaDeviceVariable<int> Kernel, int nAnchor, int nDivisor, NppiBorderType eBorderType)
		{
			status = NPPNativeMethods.NPPi.LinearFilter1D.nppiFilterColumnBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, Kernel.DevicePointer, Kernel.Size, nAnchor, nDivisor, eBorderType);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterColumnBorder_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:21,代码来源:NPPImage_16sC3.cs


示例5: FilterSharpenBorder

		/// <summary>
		/// Sharpen filter.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
		public void FilterSharpenBorder(NPPImage_16sC3 dst, NppiBorderType eBorderType)
		{
			status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterSharpenBorder_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, eBorderType);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterSharpenBorder_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:11,代码来源:NPPImage_16sC3.cs


示例6: FilterMedian

		/// <summary>
		/// Result pixel value is the median of pixel values under the rectangular mask region.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="oMaskSize">Width and Height of the neighborhood region for the local Median operation.</param>
		/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference relative to the source pixel.</param>
		/// <param name="buffer">Pointer to the user-allocated scratch buffer required for the Median operation.</param>
		public void FilterMedian(NPPImage_16sC3 dst, NppiSize oMaskSize, NppiPoint oAnchor, CudaDeviceVariable<byte> buffer)
		{
			int bufferSize = FilterMedianGetBufferHostSize(oMaskSize);
			if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");

			status = NPPNativeMethods.NPPi.ImageMedianFilter.nppiFilterMedian_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, oMaskSize, oAnchor, buffer.DevicePointer);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMedian_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:16,代码来源:NPPImage_16sC3.cs


示例7: AverageRelativeError

		/// <summary>
		/// image average relative error.
		/// </summary>
		/// <param name="src2">2nd source image</param>
		/// <param name="pError">Pointer to the computed error.</param>
		/// <param name="buffer">Pointer to the user-allocated scratch buffer required for the AverageRelativeError operation.</param>
		public void AverageRelativeError(NPPImage_16sC3 src2, CudaDeviceVariable<double> pError, CudaDeviceVariable<byte> buffer)
		{
			int bufferSize = AverageRelativeErrorGetBufferHostSize();
			if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");

			status = NPPNativeMethods.NPPi.AverageRelativeError.nppiAverageRelativeError_16s_C3R(_devPtrRoi, _pitch, src2.DevicePointerRoi, src2.Pitch, _sizeRoi, pError.DevicePointer, buffer.DevicePointer);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiAverageRelativeError_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:15,代码来源:NPPImage_16sC3.cs


示例8: Copy

		/// <summary>
		/// Three-channel 8-bit unsigned planar to packed image copy.
		/// </summary>
		/// <param name="src0">Source image channel 0</param>
		/// <param name="src1">Source image channel 1</param>
		/// <param name="src2">Source image channel 2</param>
		/// <param name="dest">Destination image</param>
		public static void Copy(NPPImage_16sC1 src0, NPPImage_16sC1 src1, NPPImage_16sC1 src2, NPPImage_16sC3 dest)
		{
			CUdeviceptr[] array = new CUdeviceptr[] { src0.DevicePointerRoi, src1.DevicePointerRoi, src2.DevicePointerRoi };
			NppStatus status = NPPNativeMethods.NPPi.MemCopy.nppiCopy_16s_P3C3R(array, src0.Pitch, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopy_16s_P3C3R", status));
			NPPException.CheckNppStatus(status, null);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:14,代码来源:NPPImage_16sC3.cs


示例9: FilterLaplace

		/// <summary>
		/// Laplace filter.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="eMaskSize">Enumeration value specifying the mask size.</param>
		public void FilterLaplace(NPPImage_16sC3 dst, MaskSize eMaskSize)
		{
			status = NPPNativeMethods.NPPi.FixedFilters.nppiFilterLaplace_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, eMaskSize);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterLaplace_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:11,代码来源:NPPImage_16sC3.cs


示例10: FilterMax

		/// <summary>
		/// Result pixel value is the maximum of pixel values under the rectangular mask region.
		/// </summary>
		/// <param name="dest">Destination image</param>
		/// <param name="oMaskSize">Width and Height of the neighborhood region for the local Avg operation.</param>
		/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference w.r.t the source pixel.</param>
		public void FilterMax(NPPImage_16sC3 dest, NppiSize oMaskSize, NppiPoint oAnchor)
		{
			status = NPPNativeMethods.NPPi.RankFilters.nppiFilterMax_16s_C3R(_devPtrRoi, _pitch, dest.DevicePointerRoi, dest.Pitch, _sizeRoi, oMaskSize, oAnchor);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterMax_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:12,代码来源:NPPImage_16sC3.cs


示例11: Filter

		/// <summary>
		/// convolution filter.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="pKernel">Pointer to the start address of the kernel coefficient array.<para/>
		/// Coefficients are expected to be stored in reverse order.</param>
		/// <param name="oKernelSize">Width and Height of the rectangular kernel.</param>
		/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference</param>
		public void Filter(NPPImage_16sC3 dst, CudaDeviceVariable<float> pKernel, NppiSize oKernelSize, NppiPoint oAnchor)
		{
			status = NPPNativeMethods.NPPi.Convolution.nppiFilter32f_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, pKernel.DevicePointer, oKernelSize, oAnchor);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilter32f_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:14,代码来源:NPPImage_16sC3.cs


示例12: CopySubpix

		/// <summary>
		/// linearly interpolated source image subpixel coordinate color copy.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="nDx">Fractional part of source image X coordinate.</param>
		/// <param name="nDy">Fractional part of source image Y coordinate.</param>
		public void CopySubpix(NPPImage_16sC3 dst, float nDx, float nDy)
		{
			status = NPPNativeMethods.NPPi.CopySubpix.nppiCopySubpix_16s_C3R(_devPtrRoi, _pitch, dst.DevicePointerRoi, dst.Pitch, _sizeRoi, nDx, nDy);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopySubpix_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:12,代码来源:NPPImage_16sC3.cs


示例13: CopyWrapBorder

		/// <summary>
		/// image copy with the borders wrapped by replication of source image pixel colors.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="nTopBorderHeight">Height (in pixels) of the top border. The height of the border at the bottom of
		/// the destination ROI is implicitly defined by the size of the source ROI: nBottomBorderHeight =
		/// oDstSizeROI.height - nTopBorderHeight - oSrcSizeROI.height.</param>
		/// <param name="nLeftBorderWidth">Width (in pixels) of the left border. The width of the border at the right side of
		/// the destination ROI is implicitly defined by the size of the source ROI: nRightBorderWidth =
		/// oDstSizeROI.width - nLeftBorderWidth - oSrcSizeROI.width.</param>
		public void CopyWrapBorder(NPPImage_16sC3 dst, int nTopBorderHeight, int nLeftBorderWidth)
		{
			status = NPPNativeMethods.NPPi.CopyWrapBorder.nppiCopyWrapBorder_16s_C3R(_devPtrRoi, _pitch, _sizeRoi, dst.DevicePointerRoi, dst.Pitch, dst.SizeRoi, nTopBorderHeight, nLeftBorderWidth);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiCopyWrapBorder_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:16,代码来源:NPPImage_16sC3.cs


示例14: ColorTwist

		/// <summary>
		/// An input color twist matrix with floating-point pixel values is applied
		/// within ROI.
		/// </summary>
		/// <param name="dest">Destination image</param>
		/// <param name="twistMatrix">The color twist matrix with floating-point pixel values [3,4].</param>
		public void ColorTwist(NPPImage_16sC3 dest, float[,] twistMatrix)
		{
			status = NPPNativeMethods.NPPi.ColorTwist.nppiColorTwist32f_16s_C3R(_devPtr, _pitch, dest.DevicePointer, dest.Pitch, _sizeRoi, twistMatrix);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiColorTwist32f_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:12,代码来源:NPPImage_16sC3.cs


示例15: Remap

		/// <summary>
		/// image remap.
		/// </summary>
		/// <param name="dst">Destination-Image</param>
		/// <param name="pXMap">Device memory pointer to 2D image array of X coordinate values to be used when sampling source image. </param>
		/// <param name="pYMap">Device memory pointer to 2D image array of Y coordinate values to be used when sampling source image. </param>
		/// <param name="eInterpolation">The type of eInterpolation to perform resampling.</param>
		public void Remap(NPPImage_16sC3 dst, NPPImage_32fC1 pXMap, NPPImage_32fC1 pYMap, InterpolationMode eInterpolation)
		{
			NppiRect srcRect = new NppiRect(_pointRoi, _sizeRoi);
			status = NPPNativeMethods.NPPi.Remap.nppiRemap_16s_C3R(_devPtr, _sizeRoi, _pitch, srcRect, pXMap.DevicePointerRoi, pXMap.Pitch, pYMap.DevicePointerRoi, pYMap.Pitch, dst.DevicePointerRoi, dst.Pitch, dst.SizeRoi, eInterpolation);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiRemap_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:14,代码来源:NPPImage_16sC3.cs


示例16: RShiftC

		/// <summary>
		/// image bit shift by constant (right).
		/// </summary>
		/// <param name="nConstant">Constant (Array length = 3)</param>
		/// <param name="dest">Destination image</param>
		public void RShiftC(uint[] nConstant, NPPImage_16sC3 dest)
		{
			status = NPPNativeMethods.NPPi.RightShiftConst.nppiRShiftC_16s_C3R(_devPtrRoi, _pitch, nConstant, dest.DevicePointerRoi, dest.Pitch, _sizeRoi);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiRShiftC_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:11,代码来源:NPPImage_16sC3.cs


示例17: NormRel_L1

		/// <summary>
		/// image NormRel_L1.
		/// </summary>
		/// <param name="tpl">template image.</param>
		/// <param name="pNormRel">Pointer to the computed relative error for the infinity norm of two images. (3 * sizeof(double))</param>
		/// <param name="buffer">Allocated device memory with size of at <see cref="NormRelL1GetBufferHostSize()"/></param>
		public void NormRel_L1(NPPImage_16sC3 tpl, CudaDeviceVariable<double> pNormRel, CudaDeviceVariable<byte> buffer)
		{
			int bufferSize = NormRelL1GetBufferHostSize();
			if (bufferSize > buffer.Size) throw new NPPException("Provided buffer is too small.");

			status = NPPNativeMethods.NPPi.NormRel.nppiNormRel_L1_16s_C3R(_devPtrRoi, _pitch, tpl.DevicePointerRoi, tpl.Pitch, _sizeRoi, pNormRel.DevicePointer, buffer.DevicePointer);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNormRel_L1_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:15,代码来源:NPPImage_16sC3.cs


示例18: MaximumRelativeError

		/// <summary>
		/// image maximum relative error. User buffer is internally allocated and freed.
		/// </summary>
		/// <param name="src2">2nd source image</param>
		/// <param name="pError">Pointer to the computed error.</param>
		public void MaximumRelativeError(NPPImage_16sC3 src2, CudaDeviceVariable<double> pError)
		{
			int bufferSize = MaximumRelativeErrorGetBufferHostSize();
			CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);
			status = NPPNativeMethods.NPPi.MaximumRelativeError.nppiMaximumRelativeError_16s_C3R(_devPtrRoi, _pitch, src2.DevicePointerRoi, src2.Pitch, _sizeRoi, pError.DevicePointer, buffer.DevicePointer);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiMaximumRelativeError_16s_C3R", status));
			buffer.Dispose();
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:14,代码来源:NPPImage_16sC3.cs


示例19: FilterBorder

		/// <summary>
		/// Three channel 16-bit signed convolution filter with border control.<para/>
		/// General purpose 2D convolution filter using floating-point weights with border control.<para/>
		/// Pixels under the mask are multiplied by the respective weights in the mask
		/// and the results are summed. Before writing the result pixel the sum is scaled
		/// back via division by nDivisor. If any portion of the mask overlaps the source
		/// image boundary the requested border type operation is applied to all mask pixels
		/// which fall outside of the source image. <para/>
		/// </summary>
		/// <param name="dest">Destination image</param>
		/// <param name="pKernel">Pointer to the start address of the kernel coefficient array. Coeffcients are expected to be stored in reverse order</param>
		/// <param name="nKernelSize">Width and Height of the rectangular kernel.</param>
		/// <param name="oAnchor">X and Y offsets of the kernel origin frame of reference relative to the source pixel.</param>
		/// <param name="eBorderType">The border type operation to be applied at source image border boundaries.</param>
		public void FilterBorder(NPPImage_16sC3 dest, CudaDeviceVariable<float> pKernel, NppiSize nKernelSize, NppiPoint oAnchor, NppiBorderType eBorderType)
		{
			status = NPPNativeMethods.NPPi.FilterBorder32f.nppiFilterBorder32f_16s_C3R(_devPtr, _pitch, _sizeOriginal, _pointRoi, dest.DevicePointerRoi, dest.Pitch, dest.SizeRoi, pKernel.DevicePointer, nKernelSize, oAnchor, eBorderType);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiFilterBorder32f_16s_C3R", status));
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:20,代码来源:NPPImage_16sC3.cs


示例20: NormRel_L2

		/// <summary>
		/// image NormRel_L2. Buffer is internally allocated and freed.
		/// </summary>
		/// <param name="tpl">template image.</param>
		/// <param name="pNormRel">Pointer to the computed relative error for the infinity norm of two images. (3 * sizeof(double))</param>
		public void NormRel_L2(NPPImage_16sC3 tpl, CudaDeviceVariable<double> pNormRel)
		{
			int bufferSize = NormRelL2GetBufferHostSize();
			CudaDeviceVariable<byte> buffer = new CudaDeviceVariable<byte>(bufferSize);

			status = NPPNativeMethods.NPPi.NormRel.nppiNormRel_L2_16s_C3R(_devPtrRoi, _pitch, tpl.DevicePointerRoi, tpl.Pitch, _sizeRoi, pNormRel.DevicePointer, buffer.DevicePointer);
			Debug.WriteLine(String.Format("{0:G}, {1}: {2}", DateTime.Now, "nppiNormRel_L2_16s_C3R", status));
			buffer.Dispose();
			NPPException.CheckNppStatus(status, this);
		}
开发者ID:lvaleriu,项目名称:managedCuda,代码行数:15,代码来源:NPPImage_16sC3.cs



注:本文中的ManagedCuda.NPP.NPPImage_16sC3类示例由纯净天空整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。


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