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Diffstat (limited to 'tests/validation/reference/EqualizeHistogram.cpp')
-rw-r--r-- | tests/validation/reference/EqualizeHistogram.cpp | 93 |
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 |