renamed gpu namespace -> cuda
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@@ -233,7 +233,7 @@ public:
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// Param frame is an input 3-channel bgr image.
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// Param channels is a GPU matrix of optionally shrinked channels
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// Param stream is stream is a high-level CUDA stream abstraction used for asynchronous execution.
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virtual void apply(InputArray frame, OutputArray channels, cv::gpu::Stream& stream = cv::gpu::Stream::Null()) = 0;
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virtual void apply(InputArray frame, OutputArray channels, cv::cuda::Stream& stream = cv::cuda::Stream::Null()) = 0;
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// Creates a specific preprocessor implementation.
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// Param shrinkage is a resizing factor. Resize is applied before the computing integral sum
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@@ -280,7 +280,7 @@ public:
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// Param objects is an output array of Detections represented as GpuMat of detections (SCascade::Detection)
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// The first element of the matrix is actually a count of detections.
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// Param stream is stream is a high-level CUDA stream abstraction used for asynchronous execution
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virtual void detect(InputArray image, InputArray rois, OutputArray objects, cv::gpu::Stream& stream = cv::gpu::Stream::Null()) const;
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virtual void detect(InputArray image, InputArray rois, OutputArray objects, cv::cuda::Stream& stream = cv::cuda::Stream::Null()) const;
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private:
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