COMPMID-585: Port OpticalFlow to new validation

Change-Id: Ia36bd11ca27420d3059eea15df81b237900149ec
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/125175
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: John Richardson <john.richardson@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>

1 files changed, 186 insertions, 0 deletions

diff --git a/tests/validation/fixtures/OpticalFlowFixture.h b/tests/validation/fixtures/OpticalFlowFixture.h
new file mode 100644
index 0000000000..f8f2021533
--- /dev/null
+++ b/tests/validation/fixtures/OpticalFlowFixture.h
@@ -0,0 +1,186 @@
+/*
+ * Copyright (c) 2018 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_TEST_OPTICAL_FLOW
+#define ARM_COMPUTE_TEST_OPTICAL_FLOW
+
+#include "arm_compute/core/PyramidInfo.h"
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/Types.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/reference/OpticalFlow.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType,
+          typename AccessorType,
+          typename ArrayType,
+          typename ArrayAccessorType,
+          typename FunctionType,
+          typename PyramidType,
+          typename PyramidFunctionType,
+          typename T>
+
+class OpticalFlowValidationFixture : public framework::Fixture
+{
+public:
+    template <typename...>
+    void setup(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params,
+               size_t num_levels, size_t num_keypoints, Format format, BorderMode border_mode)
+    {
+        std::mt19937                           gen(library->seed());
+        std::uniform_int_distribution<uint8_t> int_dist(0, 255);
+        const uint8_t                          constant_border_value = int_dist(gen);
+
+        // Create keypoints
+        std::vector<KeyPoint> old_keypoints           = generate_random_keypoints(library->get_image_shape(old_image_name), num_keypoints, library->seed(), num_levels);
+        std::vector<KeyPoint> new_keypoints_estimates = old_keypoints;
+
+        _target    = compute_target(old_image_name, new_image_name, params, num_levels, old_keypoints, new_keypoints_estimates, format, border_mode, constant_border_value);
+        _reference = compute_reference(old_image_name, new_image_name, params, num_levels, old_keypoints, new_keypoints_estimates, format, border_mode, constant_border_value);
+    }
+
+protected:
+    template <typename V>
+    void fill(V &&tensor, const std::string image, Format format)
+    {
+        library->fill(tensor, image, format);
+    }
+
+    ArrayType compute_target(std::string old_image_name, std::string new_image_name, OpticalFlowParameters params, size_t num_levels,
+                             std::vector<KeyPoint> &old_keypoints, std::vector<KeyPoint> &new_keypoints_estimates,
+                             Format format, BorderMode border_mode, uint8_t constant_border_value)
+    {
+        // Get image shapes
+        TensorShape old_shape = library->get_image_shape(old_image_name);
+        TensorShape new_shape = library->get_image_shape(new_image_name);
+
+        // Create tensors
+        auto old_image = create_tensor<TensorType>(old_shape, format);
+        auto new_image = create_tensor<TensorType>(new_shape, format);
+
+        // Load keypoints
+        ArrayType old_points(old_keypoints.size());
+        ArrayType new_points_estimates(new_keypoints_estimates.size());
+        ArrayType new_points(old_keypoints.size());
+
+        fill_array(ArrayAccessorType(old_points), old_keypoints);
+        fill_array(ArrayAccessorType(new_points_estimates), new_keypoints_estimates);
+
+        // Create pyramid images
+        PyramidInfo pyramid_info(num_levels, SCALE_PYRAMID_HALF, old_image.info()->tensor_shape(), format);
+        PyramidType old_pyramid = create_pyramid<PyramidType>(pyramid_info);
+        PyramidType new_pyramid = create_pyramid<PyramidType>(pyramid_info);
+
+        // Create and configure pyramid functions
+        PyramidFunctionType old_gp;
+        old_gp.configure(&old_image, &old_pyramid, border_mode, constant_border_value);
+
+        PyramidFunctionType new_gp;
+        new_gp.configure(&new_image, &new_pyramid, border_mode, constant_border_value);
+
+        for(size_t i = 0; i < pyramid_info.num_levels(); ++i)
+        {
+            ARM_COMPUTE_EXPECT(old_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
+            ARM_COMPUTE_EXPECT(new_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Create and configure optical flow function
+        FunctionType optical_flow;
+
+        optical_flow.configure(&old_pyramid,
+                               &new_pyramid,
+                               &old_points,
+                               &new_points_estimates,
+                               &new_points,
+                               params.termination,
+                               params.epsilon,
+                               params.num_iterations,
+                               params.window_dimension,
+                               params.use_initial_estimate,
+                               border_mode,
+                               constant_border_value);
+
+        ARM_COMPUTE_EXPECT(old_image.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(new_image.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        // Allocate input tensors
+        old_image.allocator()->allocate();
+        new_image.allocator()->allocate();
+
+        // Allocate pyramids
+        old_pyramid.allocate();
+        new_pyramid.allocate();
+
+        ARM_COMPUTE_EXPECT(!old_image.info()->is_resizable(), framework::LogLevel::ERRORS);
+        ARM_COMPUTE_EXPECT(!new_image.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+        for(size_t i = 0; i < pyramid_info.num_levels(); ++i)
+        {
+            ARM_COMPUTE_EXPECT(!old_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
+            ARM_COMPUTE_EXPECT(!new_pyramid.get_pyramid_level(i)->info()->is_resizable(), framework::LogLevel::ERRORS);
+        }
+
+        // Fill tensors
+        fill(AccessorType(old_image), old_image_name, format);
+        fill(AccessorType(new_image), new_image_name, format);
+
+        // Compute functions
+        old_gp.run();
+        new_gp.run();
+        optical_flow.run();
+
+        return new_points;
+    }
+
+    std::vector<KeyPoint> compute_reference(std::string old_image_name, std::string new_image_name,
+                                            OpticalFlowParameters params, size_t num_levels,
+                                            std::vector<KeyPoint> &old_keypoints, std::vector<KeyPoint> &new_keypoints_estimates,
+                                            Format format, BorderMode border_mode, uint8_t constant_border_value)
+    {
+        SimpleTensor<T> old_image{ library->get_image_shape(old_image_name), data_type_from_format(format) };
+        SimpleTensor<T> new_image{ library->get_image_shape(new_image_name), data_type_from_format(format) };
+
+        fill(old_image, old_image_name, format);
+        fill(new_image, new_image_name, format);
+
+        return reference::optical_flow<T>(old_image, new_image, params, num_levels, old_keypoints, new_keypoints_estimates,
+                                          border_mode, constant_border_value);
+    }
+
+    ArrayType             _target{};
+    std::vector<KeyPoint> _reference{};
+};
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_OPTICAL_FLOW */