COMPMID-344 Updated doxygen
Change-Id: I32f7b84daa560e460b77216add529c8fa8b327ae
diff --git a/arm_compute/core/CL/kernels/CLCannyEdgeKernel.h b/arm_compute/core/CL/kernels/CLCannyEdgeKernel.h
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+/*
+ * Copyright (c) 2017 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_CLCANNYEDGEKERNEL_H__
+#define __ARM_COMPUTE_CLCANNYEDGEKERNEL_H__
+
+#include "arm_compute/core/CL/ICLKernel.h"
+
+#include <cstdint>
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** OpenCL kernel to perform Gradient computation.
+ */
+class CLGradientKernel : public ICLKernel
+{
+public:
+ /** Constructor */
+ CLGradientKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers). */
+ CLGradientKernel(const CLGradientKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers). */
+ CLGradientKernel &operator=(const CLGradientKernel &) = delete;
+ /** Initialise the kernel's sources, destinations and border mode.
+ *
+ * @note gx, gy and mag must all be the same size (either 16 or 32).
+ *
+ * @param[in] gx Source tensor - Gx component. Data types supported: S16/S32.
+ * @param[in] gy Source tensor - Gy component. Data types supported: Same as gx.
+ * @param[out] magnitude Destination tensor - Magnitude. Data types supported: U16/U32. Must match the pixel size of gx, gy.
+ * @param[out] phase Destination tensor - Quantized phase. Data types supported: U8.
+ * @param[in] norm_type Normalization type. if 1, L1-Norm otherwise L2-Norm.
+ */
+ void configure(const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase, int32_t norm_type);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_gx; /**< Source tensor - Gx component */
+ const ICLTensor *_gy; /**< Source tensor - Gy component */
+ ICLTensor *_magnitude; /**< Destination tensor - Magnitude */
+ ICLTensor *_phase; /**< Destination tensor - Quantized phase */
+};
+
+/** OpenCL kernel to perform Non-Maxima suppression for Canny Edge.
+ *
+ * @note This kernel is meant to be used alongside CannyEdge and performs a non-maxima suppression using magnitude and phase of input
+ * to characterize points as possible edges. The output buffer needs to be cleared before this kernel is executed.
+ *
+ * @note Hysteresis is computed in @ref CLEdgeTraceKernel
+ */
+class CLEdgeNonMaxSuppressionKernel : public ICLKernel
+{
+public:
+ /** Constructor */
+ CLEdgeNonMaxSuppressionKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLEdgeNonMaxSuppressionKernel(const CLEdgeNonMaxSuppressionKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLEdgeNonMaxSuppressionKernel &operator=(const CLEdgeNonMaxSuppressionKernel &) = delete;
+ /** Initialise the kernel's sources, destination and border mode.
+ *
+ * @param[in] magnitude Source tensor - Magnitude. Data types supported: U16/U32.
+ * @param[in] phase Source tensor - Quantized phase. Data types supported: U8.
+ * @param[out] output Destination tensor. Data types supported: U16/U32.
+ * @param[in] lower_thr Lower threshold.
+ * @param[in] border_undefined True if the border mode is undefined. False if it's replicate or constant.
+ */
+ void configure(const ICLTensor *magnitude, const ICLTensor *phase, ICLTensor *output, int32_t lower_thr, bool border_undefined);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+ BorderSize border_size() const override;
+
+private:
+ const ICLTensor *_magnitude; /**< Source tensor - Magnitude. */
+ const ICLTensor *_phase; /**< Source tensor - Quantized phase. */
+ ICLTensor *_output; /**< Destination tensor. */
+};
+
+/** OpenCL kernel to perform Edge tracing.
+ */
+class CLEdgeTraceKernel : public ICLKernel
+{
+public:
+ /** Constructor */
+ CLEdgeTraceKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLEdgeTraceKernel(const CLEdgeTraceKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLEdgeTraceKernel &operator=(const CLEdgeTraceKernel &) = delete;
+ /** Initialise the kernel's source, destination and border mode.
+ *
+ * @param[in] input Source tensor. Data types supported: U8.
+ * @param[out] output Destination tensor. Data types supported: U8.
+ * @param[in] upper_thr Upper threshold used for the hysteresis
+ * @param[in] lower_thr Lower threshold used for the hysteresis
+ * @param[in,out] visited Tensor for keeping the visited pixels. Data types supported: U32.
+ * Expected to be initialized to 0 before each run.
+ * @param[in,out] recorded Tensor for keeping the recorded pixels. Data types supported: U32
+ * Expected to be initialized to 0 before each run.
+ * @param[in,out] l1_stack Tensor with the L1 stack for each pixel. Data types supported: S32.
+ * Expected to be initialized to 0 before each run.
+ * @param[in,out] l1_stack_counter Tensor for counting the elements in the L1 stack of each pixel. Data types supported: U8.
+ * Expected to be initialized to 0 before each run.
+ */
+ void configure(const ICLTensor *input, ICLTensor *output, int32_t upper_thr, int32_t lower_thr,
+ ICLTensor *visited, ICLTensor *recorded, ICLTensor *l1_stack, ICLTensor *l1_stack_counter);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue) override;
+
+private:
+ const ICLTensor *_input; /**< Source tensor. */
+ ICLTensor *_output; /**< Destination tensor. */
+ int32_t _lower_thr; /**< Lower threshold used for the hysteresis. */
+ int32_t _upper_thr; /**< Upper threshold used for the hysteresis. */
+ ICLTensor *_visited; /**< Marks visited elements */
+ ICLTensor *_recorded; /**< Marks recorded elements */
+ ICLTensor *_l1_stack; /**< L1 hysteris stack */
+ ICLTensor *_l1_stack_counter; /**< L1 hysteris stack counter */
+};
+}
+#endif /* __ARM_COMPUTE_CLCANNYEDGEKERNEL_H__ */