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>

1 files changed, 0 insertions, 93 deletions

diff --git a/tests/validation/reference/EqualizeHistogram.cpp b/tests/validation/reference/EqualizeHistogram.cpp
deleted file mode 100644
index 8a957d7085..0000000000
--- a/tests/validation/reference/EqualizeHistogram.cpp
+++ /dev/null
@@ -1,93 +0,0 @@
-/*
- * 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 "EqualizeHistogram.h"
-
-namespace arm_compute
-{
-namespace test
-{
-namespace validation
-{
-namespace reference
-{
-template <typename T>
-SimpleTensor<T> equalize_histogram(const SimpleTensor<T> &src)
-{
-    const size_t num_bins = 256; // 0-255 inclusive
-
-    std::vector<T>        lut(num_bins);
-    std::vector<uint32_t> hist(num_bins);
-    std::vector<uint32_t> cd(num_bins); // cumulative distribution
-
-    SimpleTensor<T> dst(src.shape(), src.data_type());
-
-    // Create the histogram
-    for(int element_idx = 0; element_idx < src.num_elements(); ++element_idx)
-    {
-        hist[src[element_idx]]++;
-    }
-
-    // Calculate cumulative distribution
-    std::partial_sum(hist.begin(), hist.end(), cd.begin());
-
-    // Get the number of pixels that have the lowest non-zero value
-    const uint32_t cd_min = *std::find_if(hist.begin(), hist.end(), [](const uint32_t &x)
-    {
-        return x > 0;
-    });
-
-    const size_t total_num_pixels = cd.back();
-
-    // Single color - create linear distribution
-    if(total_num_pixels == cd_min)
-    {
-        std::iota(lut.begin(), lut.end(), 0);
-    }
-    else
-    {
-        const float diff = total_num_pixels - cd_min;
-
-        for(size_t i = 0; i < num_bins; ++i)
-        {
-            lut[i] = lround((cd[i] - cd_min) / diff * 255.f);
-        }
-    }
-
-    // Fill output tensor with equalized values
-#if defined(_OPENMP)
-    #pragma omp parallel for
-#endif /* _OPENMP */
-    for(int i = 0; i < src.num_elements(); ++i)
-    {
-        dst[i] = lut[src[i]];
-    }
-
-    return dst;
-}
-
-template SimpleTensor<uint8_t> equalize_histogram(const SimpleTensor<uint8_t> &src);
-} // namespace reference
-} // namespace validation
-} // namespace test
-} // namespace arm_compute