| /* | |
| * Copyright (c) 2018, Alliance for Open Media. All rights reserved | |
| * | |
| * This source code is subject to the terms of the BSD 2 Clause License and | |
| * the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License | |
| * was not distributed with this source code in the LICENSE file, you can | |
| * obtain it at www.aomedia.org/license/software. If the Alliance for Open | |
| * Media Patent License 1.0 was not distributed with this source code in the | |
| * PATENTS file, you can obtain it at www.aomedia.org/license/patent. | |
| */ | |
| #include <stdbool.h> | |
| #include <memory> | |
| #include <tuple> | |
| #include "aom_mem/aom_mem.h" | |
| #include "av1/encoder/rdopt.h" | |
| #include "test/util.h" | |
| #include "third_party/googletest/src/googletest/include/gtest/gtest.h" | |
| namespace { | |
| using std::get; | |
| using std::tuple; | |
| static int get_pix(uint8_t *buf, int i, bool high_bd) { | |
| if (high_bd) { | |
| return *CONVERT_TO_SHORTPTR(buf + i); | |
| } else { | |
| return buf[i]; | |
| } | |
| } | |
| /** Get the (i, j) value from the input; if i or j is outside of the width | |
| * or height, the nearest pixel value is returned. | |
| */ | |
| static int get_nearest_pix(const int *buf, int w, int h, int i, int j) { | |
| int offset = AOMMAX(AOMMIN(i, w - 1), 0) + w * AOMMAX(AOMMIN(j, h - 1), 0); | |
| return buf[offset]; | |
| } | |
| /** Given the image data, creates a new image with padded values, so an | |
| * 8-tap filter can be convolved. The padded value is the same as the closest | |
| * value in the image. Returns a pointer to the start of the image in the | |
| * padded data. Must be freed with free_pad_8tap. The output will be either | |
| * 8-bit or 16-bit, depending on the high bit-depth (high_bd) field. | |
| */ | |
| static uint8_t *pad_8tap_convolve(const int *data, int w, int h, bool high_bd) { | |
| // SIMD optimizations require the width to be a multiple of 8 and the height | |
| // to be multiples of 4. | |
| assert(w % 8 == 0); | |
| assert(h % 4 == 0); | |
| // For an 8-tap filter, we need to pad with 3 lines on top and on the left, | |
| // and 4 lines on the right and bottom, for 7 extra lines. | |
| const int pad_w = w + 7; | |
| const int pad_h = h + 7; | |
| uint8_t *dst; | |
| if (high_bd) { | |
| dst = | |
| CONVERT_TO_BYTEPTR(aom_memalign(32, sizeof(uint16_t) * pad_w * pad_h)); | |
| } else { | |
| dst = (uint8_t *)aom_memalign(32, sizeof(uint8_t) * pad_w * pad_h); | |
| } | |
| if (dst == nullptr) { | |
| EXPECT_NE(dst, nullptr); | |
| return nullptr; | |
| } | |
| for (int j = 0; j < pad_h; ++j) { | |
| for (int i = 0; i < pad_w; ++i) { | |
| const int v = get_nearest_pix(data, w, h, i - 3, j - 3); | |
| if (high_bd) { | |
| *CONVERT_TO_SHORTPTR(dst + i + j * pad_w) = v; | |
| } else { | |
| dst[i + j * pad_w] = static_cast<uint8_t>(v); | |
| } | |
| } | |
| } | |
| return dst + (w + 7) * 3 + 3; | |
| } | |
| static int stride_8tap(int width) { return width + 7; } | |
| static void free_pad_8tap(uint8_t *padded, int width, bool high_bd) { | |
| if (high_bd) { | |
| aom_free(CONVERT_TO_SHORTPTR(padded - (width + 7) * 3 - 3)); | |
| } else { | |
| aom_free(padded - (width + 7) * 3 - 3); | |
| } | |
| } | |
| struct Pad8TapConvolveDeleter { | |
| Pad8TapConvolveDeleter(const int width, const bool high_bd) | |
| : width(width), high_bd(high_bd) {} | |
| void operator()(uint8_t *p) { | |
| if (p != nullptr) { | |
| free_pad_8tap(p, width, high_bd); | |
| } | |
| } | |
| const int width; | |
| const bool high_bd; | |
| }; | |
| static uint8_t *malloc_bd(int num_entries, bool high_bd) { | |
| const int bytes_per_entry = high_bd ? sizeof(uint16_t) : sizeof(uint8_t); | |
| uint8_t *buf = (uint8_t *)aom_memalign(32, bytes_per_entry * num_entries); | |
| if (high_bd) { | |
| return CONVERT_TO_BYTEPTR(buf); | |
| } else { | |
| return buf; | |
| } | |
| } | |
| static void free_bd(uint8_t *p, bool high_bd) { | |
| if (high_bd) { | |
| aom_free(CONVERT_TO_SHORTPTR(p)); | |
| } else { | |
| aom_free(p); | |
| } | |
| } | |
| struct MallocBdDeleter { | |
| explicit MallocBdDeleter(const bool high_bd) : high_bd(high_bd) {} | |
| void operator()(uint8_t *p) { free_bd(p, high_bd); } | |
| const bool high_bd; | |
| }; | |
| class EdgeDetectBrightnessTest : | |
| // Parameters are (brightness, width, height, high bit depth representation, | |
| // bit depth). | |
| public ::testing::TestWithParam<tuple<int, int, int, bool, int> > { | |
| protected: | |
| void SetUp() override { | |
| // Allocate a (width by height) array of luma values in orig_. | |
| // padded_ will be filled by the pad() call, which adds a border around | |
| // the orig_. The output_ array has enough space for the computation. | |
| const int brightness = GET_PARAM(0); | |
| const int width = GET_PARAM(1); | |
| const int height = GET_PARAM(2); | |
| const bool high_bd = GET_PARAM(3); | |
| // Create the padded image of uniform brightness. | |
| std::unique_ptr<int[]> orig(new int[width * height]); | |
| ASSERT_NE(orig, nullptr); | |
| for (int i = 0; i < width * height; ++i) { | |
| orig[i] = brightness; | |
| } | |
| input_ = pad_8tap_convolve(orig.get(), width, height, high_bd); | |
| ASSERT_NE(input_, nullptr); | |
| output_ = malloc_bd(width * height, high_bd); | |
| ASSERT_NE(output_, nullptr); | |
| } | |
| void TearDown() override { | |
| const int width = GET_PARAM(1); | |
| const bool high_bd = GET_PARAM(3); | |
| free_pad_8tap(input_, width, high_bd); | |
| free_bd(output_, high_bd); | |
| } | |
| // Skip the tests where brightness exceeds the bit-depth; we run into this | |
| // issue because of gtest's limitation on valid combinations of test | |
| // parameters. Also skip the tests where bit depth is greater than 8, but | |
| // high bit depth representation is not set. | |
| bool should_skip() const { | |
| const int brightness = GET_PARAM(0); | |
| const int bd = GET_PARAM(4); | |
| if (brightness >= (1 << bd)) { | |
| return true; | |
| } | |
| const bool high_bd = GET_PARAM(3); | |
| if (bd > 8 && !high_bd) { | |
| return true; | |
| } | |
| return false; | |
| } | |
| uint8_t *input_; | |
| uint8_t *output_; | |
| }; | |
| TEST_P(EdgeDetectBrightnessTest, BlurUniformBrightness) { | |
| // Some combination of parameters are non-sensical, due to limitations | |
| // of the testing framework. Ignore these. | |
| if (should_skip()) { | |
| return; | |
| } | |
| // For varying levels of brightness, the algorithm should | |
| // produce the same output. | |
| const int brightness = GET_PARAM(0); | |
| const int width = GET_PARAM(1); | |
| const int height = GET_PARAM(2); | |
| const bool high_bd = GET_PARAM(3); | |
| const int bd = GET_PARAM(4); | |
| av1_gaussian_blur(input_, stride_8tap(width), width, height, output_, high_bd, | |
| bd); | |
| for (int i = 0; i < width * height; ++i) { | |
| ASSERT_EQ(brightness, get_pix(output_, i, high_bd)); | |
| } | |
| } | |
| // No edges on a uniformly bright image. | |
| TEST_P(EdgeDetectBrightnessTest, DetectUniformBrightness) { | |
| if (should_skip()) { | |
| return; | |
| } | |
| const int width = GET_PARAM(1); | |
| const int height = GET_PARAM(2); | |
| const bool high_bd = GET_PARAM(3); | |
| const int bd = GET_PARAM(4); | |
| ASSERT_EQ( | |
| 0, av1_edge_exists(input_, stride_8tap(width), width, height, high_bd, bd) | |
| .magnitude); | |
| } | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| INSTANTIATE_TEST_SUITE_P(ImageBrightnessTests, EdgeDetectBrightnessTest, | |
| ::testing::Combine( | |
| // Brightness | |
| ::testing::Values(0, 1, 2, 127, 128, 129, 254, 255, | |
| 256, 511, 512, 1023, 1024, 2048, | |
| 4095), | |
| // Width | |
| ::testing::Values(8, 16, 32), | |
| // Height | |
| ::testing::Values(4, 8, 12, 32), | |
| // High bit depth representation | |
| ::testing::Bool(), | |
| // Bit depth | |
| ::testing::Values(8, 10, 12))); | |
| #else | |
| INSTANTIATE_TEST_SUITE_P(ImageBrightnessTests, EdgeDetectBrightnessTest, | |
| ::testing::Combine( | |
| // Brightness | |
| ::testing::Values(0, 1, 2, 127, 128, 129, 254, 255, | |
| 256, 511, 512, 1023, 1024, 2048, | |
| 4095), | |
| // Width | |
| ::testing::Values(8, 16, 32), | |
| // Height | |
| ::testing::Values(4, 8, 12, 32), | |
| // High bit depth representation | |
| ::testing::Values(false), | |
| // Bit depth | |
| ::testing::Values(8))); | |
| #endif | |
| class EdgeDetectImageTest : | |
| // Parameters are (width, height, high bit depth representation, bit depth). | |
| public ::testing::TestWithParam<tuple<int, int, bool, int> > { | |
| protected: | |
| // Skip the tests where bit depth is greater than 8, but high bit depth | |
| // representation is not set (limitation of testing framework). | |
| bool should_skip() const { | |
| const bool high_bd = GET_PARAM(2); | |
| const int bd = GET_PARAM(3); | |
| return bd > 8 && !high_bd; | |
| } | |
| }; | |
| // Generate images with black on one side and white on the other. | |
| TEST_P(EdgeDetectImageTest, BlackWhite) { | |
| // Some combination of parameters are non-sensical, due to limitations | |
| // of the testing framework. Ignore these. | |
| if (should_skip()) { | |
| return; | |
| } | |
| const int width = GET_PARAM(0); | |
| const int height = GET_PARAM(1); | |
| const bool high_bd = GET_PARAM(2); | |
| const int bd = GET_PARAM(3); | |
| const int white = (1 << bd) - 1; | |
| std::unique_ptr<int[]> orig(new int[width * height]); | |
| for (int j = 0; j < height; ++j) { | |
| for (int i = 0; i < width; ++i) { | |
| if (i < width / 2) { | |
| orig[i + j * width] = 0; | |
| } else { | |
| orig[i + j * width] = white; | |
| } | |
| } | |
| } | |
| std::unique_ptr<uint8_t[], Pad8TapConvolveDeleter> padded( | |
| pad_8tap_convolve(orig.get(), width, height, high_bd), | |
| Pad8TapConvolveDeleter(width, high_bd)); | |
| ASSERT_NE(padded, nullptr); | |
| // Value should be between 556 and 560. | |
| ASSERT_LE(556, av1_edge_exists(padded.get(), stride_8tap(width), width, | |
| height, high_bd, bd) | |
| .magnitude); | |
| ASSERT_GE(560, av1_edge_exists(padded.get(), stride_8tap(width), width, | |
| height, high_bd, bd) | |
| .magnitude); | |
| } | |
| // Hardcoded blur tests. | |
| static const int luma[32] = { 241, 147, 7, 90, 184, 103, 28, 186, | |
| 2, 248, 49, 242, 114, 146, 127, 22, | |
| 121, 228, 167, 108, 158, 174, 41, 168, | |
| 214, 99, 184, 109, 114, 247, 117, 119 }; | |
| static const uint8_t expected[] = { 161, 138, 119, 118, 123, 118, 113, 122, | |
| 143, 140, 134, 133, 134, 126, 116, 114, | |
| 147, 149, 145, 142, 143, 138, 126, 118, | |
| 164, 156, 148, 144, 148, 148, 138, 126 }; | |
| static void hardcoded_blur_test_aux(const bool high_bd) { | |
| const int w = 8; | |
| const int h = 4; | |
| for (int bd = 8; bd <= 12; bd += 2) { | |
| // Skip the tests where bit depth is greater than 8, but high bit depth | |
| // representation is not set. | |
| if (bd > 8 && !high_bd) { | |
| break; | |
| } | |
| std::unique_ptr<uint8_t[], MallocBdDeleter> output( | |
| malloc_bd(w * h, high_bd), MallocBdDeleter(high_bd)); | |
| ASSERT_NE(output, nullptr); | |
| std::unique_ptr<uint8_t[], Pad8TapConvolveDeleter> padded( | |
| pad_8tap_convolve(luma, w, h, high_bd), | |
| Pad8TapConvolveDeleter(w, high_bd)); | |
| ASSERT_NE(padded, nullptr); | |
| av1_gaussian_blur(padded.get(), stride_8tap(w), w, h, output.get(), high_bd, | |
| bd); | |
| for (int i = 0; i < w * h; ++i) { | |
| ASSERT_EQ(expected[i], get_pix(output.get(), i, high_bd)); | |
| } | |
| // If we multiply the inputs by a constant factor, the output should not | |
| // vary more than 0.5 * factor. | |
| for (int c = 2; c < (1 << (bd - 8)); ++c) { | |
| int scaled_luma[32]; | |
| for (int i = 0; i < 32; ++i) { | |
| scaled_luma[i] = luma[i] * c; | |
| } | |
| padded.reset(pad_8tap_convolve(scaled_luma, w, h, high_bd)); | |
| ASSERT_NE(padded, nullptr); | |
| av1_gaussian_blur(padded.get(), stride_8tap(w), w, h, output.get(), | |
| high_bd, bd); | |
| for (int i = 0; i < w * h; ++i) { | |
| ASSERT_GE(c / 2, | |
| abs(expected[i] * c - get_pix(output.get(), i, high_bd))); | |
| } | |
| } | |
| } | |
| } | |
| TEST(EdgeDetectImageTest, HardcodedBlurTest) { | |
| hardcoded_blur_test_aux(false); | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| hardcoded_blur_test_aux(true); | |
| #endif | |
| } | |
| TEST(EdgeDetectImageTest, SobelTest) { | |
| // Randomly generated 3x3. Compute Sobel for middle value. | |
| const uint8_t buf[9] = { 241, 147, 7, 90, 184, 103, 28, 186, 2 }; | |
| const int stride = 3; | |
| bool high_bd = false; | |
| sobel_xy result = av1_sobel(buf, stride, 1, 1, high_bd); | |
| ASSERT_EQ(234, result.x); | |
| ASSERT_EQ(140, result.y); | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| // Verify it works for 8-bit values in a high bit-depth buffer. | |
| const uint16_t buf8_16[9] = { 241, 147, 7, 90, 184, 103, 28, 186, 2 }; | |
| high_bd = true; | |
| result = av1_sobel(CONVERT_TO_BYTEPTR(buf8_16), stride, 1, 1, high_bd); | |
| ASSERT_EQ(234, result.x); | |
| ASSERT_EQ(140, result.y); | |
| // Verify it works for high bit-depth values as well. | |
| const uint16_t buf16[9] = { 241, 147, 7, 90, 184, 2003, 1028, 186, 2 }; | |
| result = av1_sobel(CONVERT_TO_BYTEPTR(buf16), stride, 1, 1, high_bd); | |
| ASSERT_EQ(-2566, result.x); | |
| ASSERT_EQ(-860, result.y); | |
| #endif | |
| } | |
| #if CONFIG_AV1_HIGHBITDEPTH | |
| INSTANTIATE_TEST_SUITE_P(EdgeDetectImages, EdgeDetectImageTest, | |
| ::testing::Combine( | |
| // Width | |
| ::testing::Values(8, 16, 32), | |
| // Height | |
| ::testing::Values(4, 8, 12, 32), | |
| // High bit depth representation | |
| ::testing::Bool(), | |
| // Bit depth | |
| ::testing::Values(8, 10, 12))); | |
| #else | |
| INSTANTIATE_TEST_SUITE_P(EdgeDetectImages, EdgeDetectImageTest, | |
| ::testing::Combine( | |
| // Width | |
| ::testing::Values(8, 16, 32), | |
| // Height | |
| ::testing::Values(4, 8, 12, 32), | |
| // High bit depth representation | |
| ::testing::Values(false), | |
| // Bit depth | |
| ::testing::Values(8))); | |
| #endif | |
| } // namespace |