1 files changed, 1 insertions, 77 deletions
diff --git a/tests/validation/Helpers.cpp b/tests/validation/Helpers.cpp
index eb8bdcf5a7..7ff2ab6219 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 test
 {
 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)
 {