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/*
* Copyright (c) 2017-2020 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.
*/
#include "arm_compute/core/CL/kernels/CLCannyEdgeKernel.h"
#include "arm_compute/core/CL/CLHelpers.h"
#include "arm_compute/core/CL/CLKernelLibrary.h"
#include "arm_compute/core/CL/ICLTensor.h"
#include "arm_compute/core/CL/OpenCL.h"
#include "arm_compute/core/Helpers.h"
#include "arm_compute/core/Validate.h"
#include "support/StringSupport.h"
using namespace arm_compute;
CLGradientKernel::CLGradientKernel()
: _gx(nullptr), _gy(nullptr), _magnitude(nullptr), _phase(nullptr)
{
}
void CLGradientKernel::configure(const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase, int32_t norm_type)
{
configure(CLKernelLibrary::get().get_compile_context(), gx, gy, magnitude, phase, norm_type);
}
void CLGradientKernel::configure(const CLCompileContext &compile_context, const ICLTensor *gx, const ICLTensor *gy, ICLTensor *magnitude, ICLTensor *phase, int32_t norm_type)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(gx, 1, DataType::S16, DataType::S32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(gy, 1, DataType::S16, DataType::S32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(magnitude, 1, DataType::U16, DataType::U32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(phase, 1, DataType::U8);
ARM_COMPUTE_ERROR_ON_MSG(data_size_from_type(gx->info()->data_type()) != data_size_from_type(gy->info()->data_type()),
"Gx and Gy must have the same pixel size");
ARM_COMPUTE_ERROR_ON_MSG(data_size_from_type(gx->info()->data_type()) != data_size_from_type(magnitude->info()->data_type()),
"Mag must have the same pixel size as Gx and Gy");
_gx = gx;
_gy = gy;
_magnitude = magnitude;
_phase = phase;
// Create build opts
std::set<std::string> built_opts;
built_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(gx->info()->data_type()));
built_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(gx->info()->data_type()));
// Create kernel
const std::string kernel_name = (norm_type == 1) ? std::string("combine_gradients_L1") : std::string("combine_gradients_L2");
_kernel = create_kernel(compile_context, kernel_name, built_opts);
// Configure kernel window
constexpr unsigned int num_elems_processed_per_iteration = 4;
Window win = calculate_max_window(*_gx->info(), Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal gx_access(_gx->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal gy_access(_gy->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal mag_access(_magnitude->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal phase_access(_phase->info(), 0, num_elems_processed_per_iteration);
update_window_and_padding(win, gx_access, gy_access, mag_access, phase_access);
mag_access.set_valid_region(win, _gx->info()->valid_region());
phase_access.set_valid_region(win, _gx->info()->valid_region());
ICLKernel::configure_internal(win);
// Set config_id for enabling LWS tuning
_config_id = kernel_name;
_config_id += "_";
_config_id += lower_string(string_from_data_type(gx->info()->data_type()));
_config_id += "_";
_config_id += support::cpp11::to_string(gx->info()->dimension(0));
_config_id += "_";
_config_id += support::cpp11::to_string(gx->info()->dimension(1));
}
void CLGradientKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window slice = window.first_slice_window_2D();
do
{
unsigned int idx = 0;
add_2D_tensor_argument(idx, _gx, slice);
add_2D_tensor_argument(idx, _gy, slice);
add_2D_tensor_argument(idx, _magnitude, slice);
add_2D_tensor_argument(idx, _phase, slice);
enqueue(queue, *this, slice, lws_hint());
}
while(window.slide_window_slice_2D(slice));
}
CLEdgeNonMaxSuppressionKernel::CLEdgeNonMaxSuppressionKernel()
: _magnitude(nullptr), _phase(nullptr), _output(nullptr)
{
}
BorderSize CLEdgeNonMaxSuppressionKernel::border_size() const
{
return BorderSize(1);
}
void CLEdgeNonMaxSuppressionKernel::configure(const ICLTensor *magnitude, const ICLTensor *phase, ICLTensor *output, int32_t lower_thr, bool border_undefined)
{
configure(CLKernelLibrary::get().get_compile_context(), magnitude, phase, output, lower_thr, border_undefined);
}
void CLEdgeNonMaxSuppressionKernel::configure(const CLCompileContext &compile_context, const ICLTensor *magnitude, const ICLTensor *phase, ICLTensor *output, int32_t lower_thr, bool border_undefined)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(magnitude, 1, DataType::U16, DataType::U32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(phase, 1, DataType::U8);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U16, DataType::U32);
_magnitude = magnitude;
_phase = phase;
_output = output;
// Create build opts
std::set<std::string> built_opts;
built_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(magnitude->info()->data_type()));
built_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
// Create kernel
const std::string kernel_name = std::string("suppress_non_maximum");
_kernel = create_kernel(compile_context, kernel_name, built_opts);
// Set minimum threshold argument
unsigned int idx = 3 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
_kernel.setArg(idx++, lower_thr);
// Configure kernel window
constexpr unsigned int num_elems_processed_per_iteration = 1;
constexpr unsigned int num_elems_read_written_per_iteration = 3;
Window win = calculate_max_window(*_magnitude->info(), Steps(num_elems_processed_per_iteration), border_undefined, border_size());
AccessWindowRectangle mag_access(_magnitude->info(), -border_size().left, -border_size().top,
num_elems_read_written_per_iteration, num_elems_read_written_per_iteration);
AccessWindowHorizontal phase_access(_phase->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal output_access(_output->info(), 0, num_elems_processed_per_iteration);
update_window_and_padding(win, mag_access, phase_access, output_access);
output_access.set_valid_region(win, _magnitude->info()->valid_region(), border_undefined, border_size());
ICLKernel::configure_internal(win);
// Set config_id for enabling LWS tuning
_config_id = kernel_name;
_config_id += "_";
_config_id += lower_string(string_from_data_type(output->info()->data_type()));
_config_id += "_";
_config_id += support::cpp11::to_string(output->info()->dimension(0));
_config_id += "_";
_config_id += support::cpp11::to_string(output->info()->dimension(1));
_config_id += "_";
_config_id += support::cpp11::to_string(border_undefined);
}
void CLEdgeNonMaxSuppressionKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window slice = window.first_slice_window_2D();
do
{
unsigned int idx = 0;
add_2D_tensor_argument(idx, _magnitude, slice);
add_2D_tensor_argument(idx, _phase, slice);
add_2D_tensor_argument(idx, _output, slice);
enqueue(queue, *this, slice, lws_hint());
}
while(window.slide_window_slice_2D(slice));
}
CLEdgeTraceKernel::CLEdgeTraceKernel()
: _input(nullptr), _output(nullptr), _lower_thr(0), _upper_thr(0), _visited(nullptr), _recorded(nullptr), _l1_stack(nullptr), _l1_stack_counter(nullptr)
{
}
void CLEdgeTraceKernel::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)
{
configure(CLKernelLibrary::get().get_compile_context(), input, output, upper_thr, lower_thr, visited, recorded, l1_stack, l1_stack_counter);
}
void CLEdgeTraceKernel::configure(const CLCompileContext &compile_context, const ICLTensor *input, ICLTensor *output, int32_t upper_thr, int32_t lower_thr,
ICLTensor *visited, ICLTensor *recorded, ICLTensor *l1_stack, ICLTensor *l1_stack_counter)
{
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U16, DataType::U32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::U8);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(visited, 1, DataType::U32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(recorded, 1, DataType::U32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(l1_stack, 1, DataType::S32);
ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(l1_stack_counter, 1, DataType::U8);
_input = input;
_output = output;
_lower_thr = lower_thr;
_upper_thr = upper_thr;
_visited = visited;
_recorded = recorded;
_l1_stack = l1_stack;
_l1_stack_counter = l1_stack_counter;
// Create build opts
std::set<std::string> built_opts;
built_opts.emplace("-DDATA_TYPE_IN=" + get_cl_type_from_data_type(input->info()->data_type()));
built_opts.emplace("-DDATA_TYPE_OUT=" + get_cl_type_from_data_type(output->info()->data_type()));
// Create kernel
const std::string kernel_name = std::string("hysteresis");
_kernel = create_kernel(compile_context, kernel_name, built_opts);
// Set constant kernel args
unsigned int width = _input->info()->dimension(0);
unsigned int height = _input->info()->dimension(1);
unsigned int idx = 6 * num_arguments_per_2D_tensor(); //Skip the input and output parameters
_kernel.setArg(idx++, static_cast<cl_uint>(_lower_thr));
_kernel.setArg(idx++, static_cast<cl_uint>(_upper_thr));
_kernel.setArg(idx++, static_cast<cl_uint>(width));
_kernel.setArg(idx++, static_cast<cl_uint>(height));
// Configure kernel window
constexpr unsigned int num_elems_processed_per_iteration = 1;
Window win = calculate_max_window(*_input->info(), Steps(num_elems_processed_per_iteration));
AccessWindowHorizontal output_access(_output->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal visited_access(_visited->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal recorded_access(_recorded->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal l1_stack_access(_l1_stack->info(), 0, num_elems_processed_per_iteration);
AccessWindowHorizontal l1_stack_counter_access(_l1_stack_counter->info(), 0, num_elems_processed_per_iteration);
update_window_and_padding(win,
AccessWindowHorizontal(_input->info(), 0, num_elems_processed_per_iteration),
output_access,
visited_access,
recorded_access,
l1_stack_access,
l1_stack_counter_access);
output_access.set_valid_region(win, _input->info()->valid_region());
visited_access.set_valid_region(win, _input->info()->valid_region());
recorded_access.set_valid_region(win, _input->info()->valid_region());
l1_stack_access.set_valid_region(win, _input->info()->valid_region());
l1_stack_counter_access.set_valid_region(win, _input->info()->valid_region());
ICLKernel::configure_internal(win);
// Set config_id for enabling LWS tuning
_config_id = kernel_name;
_config_id += "_";
_config_id += lower_string(string_from_data_type(input->info()->data_type()));
_config_id += "_";
_config_id += support::cpp11::to_string(input->info()->dimension(0));
_config_id += "_";
_config_id += support::cpp11::to_string(input->info()->dimension(1));
_config_id += "_";
_config_id += lower_string(string_from_format(output->info()->format()));
_config_id += "_";
_config_id += support::cpp11::to_string(output->info()->dimension(0));
_config_id += "_";
_config_id += support::cpp11::to_string(output->info()->dimension(1));
}
void CLEdgeTraceKernel::run(const Window &window, cl::CommandQueue &queue)
{
ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
Window slice = window.first_slice_window_2D();
do
{
unsigned int idx = 0;
add_2D_tensor_argument(idx, _input, slice);
add_2D_tensor_argument(idx, _output, slice);
add_2D_tensor_argument(idx, _visited, slice);
add_2D_tensor_argument(idx, _recorded, slice);
add_2D_tensor_argument(idx, _l1_stack, slice);
add_2D_tensor_argument(idx, _l1_stack_counter, slice);
enqueue(queue, *this, slice, lws_hint());
}
while(window.slide_window_slice_2D(slice));
}
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