Remove Computer Vision generic interfaces and types
Removes:
- reference validation routines
- CV related types and structures
- CV related interfaces
Signed-off-by: Georgios Pinitas <georgios.pinitas@arm.com>
Change-Id: I3a203da12d9b04c154059b190aeba18a611149a9
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/5340
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
diff --git a/tests/validation/Helpers.cpp b/tests/validation/Helpers.cpp
index eb8bdcf..7ff2ab6 100644
--- a/tests/validation/Helpers.cpp
+++ b/tests/validation/Helpers.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -32,82 +32,6 @@
{
namespace validation
{
-void fill_mask_from_pattern(uint8_t *mask, int cols, int rows, MatrixPattern pattern)
-{
- unsigned int v = 0;
- std::mt19937 gen(library->seed());
- std::bernoulli_distribution dist(0.5);
-
- for(int r = 0; r < rows; ++r)
- {
- for(int c = 0; c < cols; ++c, ++v)
- {
- uint8_t val = 0;
-
- switch(pattern)
- {
- case MatrixPattern::BOX:
- val = 255;
- break;
- case MatrixPattern::CROSS:
- val = ((r == (rows / 2)) || (c == (cols / 2))) ? 255 : 0;
- break;
- case MatrixPattern::DISK:
- val = (((r - rows / 2.0f + 0.5f) * (r - rows / 2.0f + 0.5f)) / ((rows / 2.0f) * (rows / 2.0f)) + ((c - cols / 2.0f + 0.5f) * (c - cols / 2.0f + 0.5f)) / ((cols / 2.0f) *
- (cols / 2.0f))) <= 1.0f ? 255 : 0;
- break;
- case MatrixPattern::OTHER:
- val = (dist(gen) ? 0 : 255);
- break;
- default:
- return;
- }
-
- mask[v] = val;
- }
- }
-
- if(pattern == MatrixPattern::OTHER)
- {
- std::uniform_int_distribution<uint8_t> distribution_u8(0, ((cols * rows) - 1));
- mask[distribution_u8(gen)] = 255;
- }
-}
-
-HarrisCornersParameters harris_corners_parameters()
-{
- HarrisCornersParameters params;
-
- std::mt19937 gen(library->seed());
- std::uniform_real_distribution<float> threshold_dist(0.f, 0.001f);
- std::uniform_real_distribution<float> sensitivity(0.04f, 0.15f);
- std::uniform_real_distribution<float> euclidean_distance(0.f, 30.f);
- std::uniform_int_distribution<uint8_t> int_dist(0, 255);
-
- params.threshold = threshold_dist(gen);
- params.sensitivity = sensitivity(gen);
- params.min_dist = euclidean_distance(gen);
- params.constant_border_value = int_dist(gen);
-
- return params;
-}
-
-CannyEdgeParameters canny_edge_parameters()
-{
- CannyEdgeParameters params;
-
- std::mt19937 gen(library->seed());
- std::uniform_int_distribution<uint8_t> int_dist(0, 255);
- std::uniform_int_distribution<uint8_t> threshold_dist(2, 255);
-
- params.constant_border_value = int_dist(gen);
- params.upper_thresh = threshold_dist(gen); // upper_threshold >= 2
- threshold_dist = std::uniform_int_distribution<uint8_t>(1, params.upper_thresh - 1);
- params.lower_thresh = threshold_dist(gen); // lower_threshold >= 1 && lower_threshold < upper_threshold
-
- return params;
-}
-
template <>
SimpleTensor<float> convert_from_asymmetric(const SimpleTensor<uint8_t> &src)
{