| /* |
| * Copyright (c) 2020, 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. |
| */ |
| |
| /*!\file |
| * \brief Defines utility functions used in intra mode search. |
| * |
| * This includes rdcost estimations, histogram based pruning, etc. |
| */ |
| #ifndef AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_ |
| #define AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_ |
| |
| #include "av1/common/enums.h" |
| #include "av1/common/pred_common.h" |
| #include "av1/common/reconintra.h" |
| |
| #include "av1/encoder/encoder.h" |
| #include "av1/encoder/encodeframe.h" |
| #include "av1/encoder/model_rd.h" |
| #include "av1/encoder/palette.h" |
| #include "av1/encoder/hybrid_fwd_txfm.h" |
| |
| #ifdef __cplusplus |
| extern "C" { |
| #endif |
| |
| /*!\cond */ |
| #define BINS 32 |
| static const float av1_intra_hog_model_bias[DIRECTIONAL_MODES] = { |
| 0.450578f, 0.695518f, -0.717944f, -0.639894f, |
| -0.602019f, -0.453454f, 0.055857f, -0.465480f, |
| }; |
| |
| static const float av1_intra_hog_model_weights[BINS * DIRECTIONAL_MODES] = { |
| -3.076402f, -3.757063f, -3.275266f, -3.180665f, -3.452105f, -3.216593f, |
| -2.871212f, -3.134296f, -1.822324f, -2.401411f, -1.541016f, -1.195322f, |
| -0.434156f, 0.322868f, 2.260546f, 3.368715f, 3.989290f, 3.308487f, |
| 2.277893f, 0.923793f, 0.026412f, -0.385174f, -0.718622f, -1.408867f, |
| -1.050558f, -2.323941f, -2.225827f, -2.585453f, -3.054283f, -2.875087f, |
| -2.985709f, -3.447155f, 3.758139f, 3.204353f, 2.170998f, 0.826587f, |
| -0.269665f, -0.702068f, -1.085776f, -2.175249f, -1.623180f, -2.975142f, |
| -2.779629f, -3.190799f, -3.521900f, -3.375480f, -3.319355f, -3.897389f, |
| -3.172334f, -3.594528f, -2.879132f, -2.547777f, -2.921023f, -2.281844f, |
| -1.818988f, -2.041771f, -0.618268f, -1.396458f, -0.567153f, -0.285868f, |
| -0.088058f, 0.753494f, 2.092413f, 3.215266f, -3.300277f, -2.748658f, |
| -2.315784f, -2.423671f, -2.257283f, -2.269583f, -2.196660f, -2.301076f, |
| -2.646516f, -2.271319f, -2.254366f, -2.300102f, -2.217960f, -2.473300f, |
| -2.116866f, -2.528246f, -3.314712f, -1.701010f, -0.589040f, -0.088077f, |
| 0.813112f, 1.702213f, 2.653045f, 3.351749f, 3.243554f, 3.199409f, |
| 2.437856f, 1.468854f, 0.533039f, -0.099065f, -0.622643f, -2.200732f, |
| -4.228861f, -2.875263f, -1.273956f, -0.433280f, 0.803771f, 1.975043f, |
| 3.179528f, 3.939064f, 3.454379f, 3.689386f, 3.116411f, 1.970991f, |
| 0.798406f, -0.628514f, -1.252546f, -2.825176f, -4.090178f, -3.777448f, |
| -3.227314f, -3.479403f, -3.320569f, -3.159372f, -2.729202f, -2.722341f, |
| -3.054913f, -2.742923f, -2.612703f, -2.662632f, -2.907314f, -3.117794f, |
| -3.102660f, -3.970972f, -4.891357f, -3.935582f, -3.347758f, -2.721924f, |
| -2.219011f, -1.702391f, -0.866529f, -0.153743f, 0.107733f, 1.416882f, |
| 2.572884f, 3.607755f, 3.974820f, 3.997783f, 2.970459f, 0.791687f, |
| -1.478921f, -1.228154f, -1.216955f, -1.765932f, -1.951003f, -1.985301f, |
| -1.975881f, -1.985593f, -2.422371f, -2.419978f, -2.531288f, -2.951853f, |
| -3.071380f, -3.277027f, -3.373539f, -4.462010f, -0.967888f, 0.805524f, |
| 2.794130f, 3.685984f, 3.745195f, 3.252444f, 2.316108f, 1.399146f, |
| -0.136519f, -0.162811f, -1.004357f, -1.667911f, -1.964662f, -2.937579f, |
| -3.019533f, -3.942766f, -5.102767f, -3.882073f, -3.532027f, -3.451956f, |
| -2.944015f, -2.643064f, -2.529872f, -2.077290f, -2.809965f, -1.803734f, |
| -1.783593f, -1.662585f, -1.415484f, -1.392673f, -0.788794f, -1.204819f, |
| -1.998864f, -1.182102f, -0.892110f, -1.317415f, -1.359112f, -1.522867f, |
| -1.468552f, -1.779072f, -2.332959f, -2.160346f, -2.329387f, -2.631259f, |
| -2.744936f, -3.052494f, -2.787363f, -3.442548f, -4.245075f, -3.032172f, |
| -2.061609f, -1.768116f, -1.286072f, -0.706587f, -0.192413f, 0.386938f, |
| 0.716997f, 1.481393f, 2.216702f, 2.737986f, 3.109809f, 3.226084f, |
| 2.490098f, -0.095827f, -3.864816f, -3.507248f, -3.128925f, -2.908251f, |
| -2.883836f, -2.881411f, -2.524377f, -2.624478f, -2.399573f, -2.367718f, |
| -1.918255f, -1.926277f, -1.694584f, -1.723790f, -0.966491f, -1.183115f, |
| -1.430687f, 0.872896f, 2.766550f, 3.610080f, 3.578041f, 3.334928f, |
| 2.586680f, 1.895721f, 1.122195f, 0.488519f, -0.140689f, -0.799076f, |
| -1.222860f, -1.502437f, -1.900969f, -3.206816f, |
| }; |
| |
| static const NN_CONFIG av1_intra_hog_model_nnconfig = { |
| BINS, // num_inputs |
| DIRECTIONAL_MODES, // num_outputs |
| 0, // num_hidden_layers |
| { 0 }, |
| { |
| av1_intra_hog_model_weights, |
| }, |
| { |
| av1_intra_hog_model_bias, |
| }, |
| }; |
| |
| #define FIX_PREC_BITS (16) |
| static AOM_INLINE int get_hist_bin_idx(int dx, int dy) { |
| const int32_t ratio = (dy * (1 << FIX_PREC_BITS)) / dx; |
| |
| // Find index by bisection |
| static const int thresholds[BINS] = { |
| -1334015, -441798, -261605, -183158, -138560, -109331, -88359, -72303, |
| -59392, -48579, -39272, -30982, -23445, -16400, -9715, -3194, |
| 3227, 9748, 16433, 23478, 31015, 39305, 48611, 59425, |
| 72336, 88392, 109364, 138593, 183191, 261638, 441831, INT32_MAX |
| }; |
| |
| int lo_idx = 0, hi_idx = BINS - 1; |
| // Divide into segments of size 8 gives better performance than binary search |
| // here. |
| if (ratio <= thresholds[7]) { |
| lo_idx = 0; |
| hi_idx = 7; |
| } else if (ratio <= thresholds[15]) { |
| lo_idx = 8; |
| hi_idx = 15; |
| } else if (ratio <= thresholds[23]) { |
| lo_idx = 16; |
| hi_idx = 23; |
| } else { |
| lo_idx = 24; |
| hi_idx = 31; |
| } |
| |
| for (int idx = lo_idx; idx <= hi_idx; idx++) { |
| if (ratio <= thresholds[idx]) { |
| return idx; |
| } |
| } |
| assert(0 && "No valid histogram bin found!"); |
| return BINS - 1; |
| } |
| #undef FIX_PREC_BITS |
| |
| // Normalizes the hog data. |
| static AOM_INLINE void normalize_hog(float total, float *hist) { |
| for (int i = 0; i < BINS; ++i) hist[i] /= total; |
| } |
| |
| static AOM_INLINE void lowbd_generate_hog(const uint8_t *src, int stride, |
| int rows, int cols, float *hist) { |
| float total = 0.1f; |
| src += stride; |
| for (int r = 1; r < rows - 1; ++r) { |
| for (int c = 1; c < cols - 1; ++c) { |
| const uint8_t *above = &src[c - stride]; |
| const uint8_t *below = &src[c + stride]; |
| const uint8_t *left = &src[c - 1]; |
| const uint8_t *right = &src[c + 1]; |
| // Calculate gradient using Sobel filters. |
| const int dx = (right[-stride] + 2 * right[0] + right[stride]) - |
| (left[-stride] + 2 * left[0] + left[stride]); |
| const int dy = (below[-1] + 2 * below[0] + below[1]) - |
| (above[-1] + 2 * above[0] + above[1]); |
| if (dx == 0 && dy == 0) continue; |
| const int temp = abs(dx) + abs(dy); |
| if (!temp) continue; |
| total += temp; |
| if (dx == 0) { |
| hist[0] += temp / 2; |
| hist[BINS - 1] += temp / 2; |
| } else { |
| const int idx = get_hist_bin_idx(dx, dy); |
| assert(idx >= 0 && idx < BINS); |
| hist[idx] += temp; |
| } |
| } |
| src += stride; |
| } |
| |
| normalize_hog(total, hist); |
| } |
| |
| // Computes and stores pixel level gradient information of a given superblock |
| // for LBD encode. |
| static AOM_INLINE void lowbd_compute_gradient_info_sb(MACROBLOCK *const x, |
| BLOCK_SIZE sb_size, |
| PLANE_TYPE plane) { |
| PixelLevelGradientInfo *const grad_info_sb = |
| x->pixel_gradient_info + plane * MAX_SB_SQUARE; |
| const uint8_t *src = x->plane[plane].src.buf; |
| const int stride = x->plane[plane].src.stride; |
| const int ss_x = x->e_mbd.plane[plane].subsampling_x; |
| const int ss_y = x->e_mbd.plane[plane].subsampling_y; |
| const int sb_height = block_size_high[sb_size] >> ss_y; |
| const int sb_width = block_size_wide[sb_size] >> ss_x; |
| src += stride; |
| for (int r = 1; r < sb_height - 1; ++r) { |
| for (int c = 1; c < sb_width - 1; ++c) { |
| const uint8_t *above = &src[c - stride]; |
| const uint8_t *below = &src[c + stride]; |
| const uint8_t *left = &src[c - 1]; |
| const uint8_t *right = &src[c + 1]; |
| // Calculate gradient using Sobel filters. |
| const int dx = (right[-stride] + 2 * right[0] + right[stride]) - |
| (left[-stride] + 2 * left[0] + left[stride]); |
| const int dy = (below[-1] + 2 * below[0] + below[1]) - |
| (above[-1] + 2 * above[0] + above[1]); |
| grad_info_sb[r * sb_width + c].is_dx_zero = (dx == 0); |
| grad_info_sb[r * sb_width + c].abs_dx_abs_dy_sum = |
| (uint16_t)(abs(dx) + abs(dy)); |
| grad_info_sb[r * sb_width + c].hist_bin_idx = |
| (dx != 0) ? get_hist_bin_idx(dx, dy) : -1; |
| } |
| src += stride; |
| } |
| } |
| |
| #if CONFIG_AV1_HIGHBITDEPTH |
| static AOM_INLINE void highbd_generate_hog(const uint8_t *src8, int stride, |
| int rows, int cols, float *hist) { |
| float total = 0.1f; |
| const uint16_t *src = CONVERT_TO_SHORTPTR(src8); |
| src += stride; |
| for (int r = 1; r < rows - 1; ++r) { |
| for (int c = 1; c < cols - 1; ++c) { |
| const uint16_t *above = &src[c - stride]; |
| const uint16_t *below = &src[c + stride]; |
| const uint16_t *left = &src[c - 1]; |
| const uint16_t *right = &src[c + 1]; |
| // Calculate gradient using Sobel filters. |
| const int dx = (right[-stride] + 2 * right[0] + right[stride]) - |
| (left[-stride] + 2 * left[0] + left[stride]); |
| const int dy = (below[-1] + 2 * below[0] + below[1]) - |
| (above[-1] + 2 * above[0] + above[1]); |
| if (dx == 0 && dy == 0) continue; |
| const int temp = abs(dx) + abs(dy); |
| if (!temp) continue; |
| total += temp; |
| if (dx == 0) { |
| hist[0] += temp / 2; |
| hist[BINS - 1] += temp / 2; |
| } else { |
| const int idx = get_hist_bin_idx(dx, dy); |
| assert(idx >= 0 && idx < BINS); |
| hist[idx] += temp; |
| } |
| } |
| src += stride; |
| } |
| |
| normalize_hog(total, hist); |
| } |
| |
| // Computes and stores pixel level gradient information of a given superblock |
| // for HBD encode. |
| static AOM_INLINE void highbd_compute_gradient_info_sb(MACROBLOCK *const x, |
| BLOCK_SIZE sb_size, |
| PLANE_TYPE plane) { |
| PixelLevelGradientInfo *const grad_info_sb = |
| x->pixel_gradient_info + plane * MAX_SB_SQUARE; |
| const uint16_t *src = CONVERT_TO_SHORTPTR(x->plane[plane].src.buf); |
| const int stride = x->plane[plane].src.stride; |
| const int ss_x = x->e_mbd.plane[plane].subsampling_x; |
| const int ss_y = x->e_mbd.plane[plane].subsampling_y; |
| const int sb_height = block_size_high[sb_size] >> ss_y; |
| const int sb_width = block_size_wide[sb_size] >> ss_x; |
| src += stride; |
| for (int r = 1; r < sb_height - 1; ++r) { |
| for (int c = 1; c < sb_width - 1; ++c) { |
| const uint16_t *above = &src[c - stride]; |
| const uint16_t *below = &src[c + stride]; |
| const uint16_t *left = &src[c - 1]; |
| const uint16_t *right = &src[c + 1]; |
| // Calculate gradient using Sobel filters. |
| const int dx = (right[-stride] + 2 * right[0] + right[stride]) - |
| (left[-stride] + 2 * left[0] + left[stride]); |
| const int dy = (below[-1] + 2 * below[0] + below[1]) - |
| (above[-1] + 2 * above[0] + above[1]); |
| grad_info_sb[r * sb_width + c].is_dx_zero = (dx == 0); |
| grad_info_sb[r * sb_width + c].abs_dx_abs_dy_sum = |
| (uint16_t)(abs(dx) + abs(dy)); |
| grad_info_sb[r * sb_width + c].hist_bin_idx = |
| (dx != 0) ? get_hist_bin_idx(dx, dy) : -1; |
| } |
| src += stride; |
| } |
| } |
| #endif // CONFIG_AV1_HIGHBITDEPTH |
| |
| static AOM_INLINE void generate_hog(const uint8_t *src8, int stride, int rows, |
| int cols, float *hist, int highbd) { |
| #if CONFIG_AV1_HIGHBITDEPTH |
| if (highbd) { |
| highbd_generate_hog(src8, stride, rows, cols, hist); |
| return; |
| } |
| #else |
| (void)highbd; |
| #endif // CONFIG_AV1_HIGHBITDEPTH |
| lowbd_generate_hog(src8, stride, rows, cols, hist); |
| } |
| |
| static AOM_INLINE void compute_gradient_info_sb(MACROBLOCK *const x, |
| BLOCK_SIZE sb_size, |
| PLANE_TYPE plane) { |
| #if CONFIG_AV1_HIGHBITDEPTH |
| if (is_cur_buf_hbd(&x->e_mbd)) { |
| highbd_compute_gradient_info_sb(x, sb_size, plane); |
| return; |
| } |
| #endif // CONFIG_AV1_HIGHBITDEPTH |
| lowbd_compute_gradient_info_sb(x, sb_size, plane); |
| } |
| |
| // Gradient caching at superblock level is allowed only if all of the following |
| // conditions are satisfied: |
| // (1) The current frame is an intra only frame |
| // (2) Non-RD mode decisions are not enabled |
| // (3) The sf partition_search_type is set to SEARCH_PARTITION |
| // (4) Either intra_pruning_with_hog or chroma_intra_pruning_with_hog is enabled |
| // |
| // SB level caching of gradient data may not help in speedup for the following |
| // cases: |
| // (1) Inter frames (due to early intra gating) |
| // (2) When partition_search_type is not SEARCH_PARTITION |
| // Hence, gradient data is computed at block level in such cases. |
| static AOM_INLINE bool is_gradient_caching_for_hog_enabled( |
| const AV1_COMP *const cpi) { |
| const SPEED_FEATURES *const sf = &cpi->sf; |
| return frame_is_intra_only(&cpi->common) && !sf->rt_sf.use_nonrd_pick_mode && |
| (sf->part_sf.partition_search_type == SEARCH_PARTITION) && |
| (sf->intra_sf.intra_pruning_with_hog || |
| sf->intra_sf.chroma_intra_pruning_with_hog); |
| } |
| |
| // Function to generate pixel level gradient information for a given superblock. |
| // Sets the flags 'is_sb_gradient_cached' for the specific plane-type if |
| // gradient info is generated for the same. |
| static AOM_INLINE void produce_gradients_for_sb(AV1_COMP *cpi, MACROBLOCK *x, |
| BLOCK_SIZE sb_size, int mi_row, |
| int mi_col) { |
| // Initialise flags related to hog data caching. |
| x->is_sb_gradient_cached[PLANE_TYPE_Y] = false; |
| x->is_sb_gradient_cached[PLANE_TYPE_UV] = false; |
| if (!is_gradient_caching_for_hog_enabled(cpi)) return; |
| |
| const SPEED_FEATURES *sf = &cpi->sf; |
| const int num_planes = av1_num_planes(&cpi->common); |
| |
| av1_setup_src_planes(x, cpi->source, mi_row, mi_col, num_planes, sb_size); |
| |
| if (sf->intra_sf.intra_pruning_with_hog) { |
| compute_gradient_info_sb(x, sb_size, PLANE_TYPE_Y); |
| x->is_sb_gradient_cached[PLANE_TYPE_Y] = true; |
| } |
| if (sf->intra_sf.chroma_intra_pruning_with_hog && num_planes > 1) { |
| compute_gradient_info_sb(x, sb_size, PLANE_TYPE_UV); |
| x->is_sb_gradient_cached[PLANE_TYPE_UV] = true; |
| } |
| } |
| |
| // Reuses the pixel level gradient data generated at superblock level for block |
| // level histogram computation. |
| static AOM_INLINE void generate_hog_using_gradient_cache(const MACROBLOCK *x, |
| int rows, int cols, |
| BLOCK_SIZE sb_size, |
| PLANE_TYPE plane, |
| float *hist) { |
| float total = 0.1f; |
| const int ss_x = x->e_mbd.plane[plane].subsampling_x; |
| const int ss_y = x->e_mbd.plane[plane].subsampling_y; |
| const int sb_width = block_size_wide[sb_size] >> ss_x; |
| |
| // Derive the offset from the starting of the superblock in order to locate |
| // the block level gradient data in the cache. |
| const int mi_row_in_sb = x->e_mbd.mi_row & (mi_size_high[sb_size] - 1); |
| const int mi_col_in_sb = x->e_mbd.mi_col & (mi_size_wide[sb_size] - 1); |
| const int block_offset_in_grad_cache = |
| sb_width * (mi_row_in_sb << (MI_SIZE_LOG2 - ss_y)) + |
| (mi_col_in_sb << (MI_SIZE_LOG2 - ss_x)); |
| const PixelLevelGradientInfo *grad_info_blk = x->pixel_gradient_info + |
| plane * MAX_SB_SQUARE + |
| block_offset_in_grad_cache; |
| |
| // Retrieve the cached gradient information and generate the histogram. |
| for (int r = 1; r < rows - 1; ++r) { |
| for (int c = 1; c < cols - 1; ++c) { |
| const uint16_t abs_dx_abs_dy_sum = |
| grad_info_blk[r * sb_width + c].abs_dx_abs_dy_sum; |
| if (!abs_dx_abs_dy_sum) continue; |
| total += abs_dx_abs_dy_sum; |
| const bool is_dx_zero = grad_info_blk[r * sb_width + c].is_dx_zero; |
| if (is_dx_zero) { |
| hist[0] += abs_dx_abs_dy_sum >> 1; |
| hist[BINS - 1] += abs_dx_abs_dy_sum >> 1; |
| } else { |
| const int8_t idx = grad_info_blk[r * sb_width + c].hist_bin_idx; |
| assert(idx >= 0 && idx < BINS); |
| hist[idx] += abs_dx_abs_dy_sum; |
| } |
| } |
| } |
| normalize_hog(total, hist); |
| } |
| |
| static INLINE void collect_hog_data(const MACROBLOCK *x, BLOCK_SIZE bsize, |
| BLOCK_SIZE sb_size, int plane, float *hog) { |
| const MACROBLOCKD *xd = &x->e_mbd; |
| const struct macroblockd_plane *const pd = &xd->plane[plane]; |
| const int ss_x = pd->subsampling_x; |
| const int ss_y = pd->subsampling_y; |
| const int bh = block_size_high[bsize]; |
| const int bw = block_size_wide[bsize]; |
| const int rows = |
| ((xd->mb_to_bottom_edge >= 0) ? bh : (xd->mb_to_bottom_edge >> 3) + bh) >> |
| ss_y; |
| const int cols = |
| ((xd->mb_to_right_edge >= 0) ? bw : (xd->mb_to_right_edge >> 3) + bw) >> |
| ss_x; |
| |
| // If gradient data is already generated at SB level, reuse the cached data. |
| // Otherwise, compute the data. |
| if (x->is_sb_gradient_cached[plane]) { |
| generate_hog_using_gradient_cache(x, rows, cols, sb_size, plane, hog); |
| } else { |
| const uint8_t *src = x->plane[plane].src.buf; |
| const int src_stride = x->plane[plane].src.stride; |
| generate_hog(src, src_stride, rows, cols, hog, is_cur_buf_hbd(xd)); |
| } |
| |
| // Scale the hog so the luma and chroma are on the same scale |
| for (int b = 0; b < BINS; ++b) { |
| hog[b] *= (1 + ss_x) * (1 + ss_y); |
| } |
| } |
| |
| static AOM_INLINE void prune_intra_mode_with_hog( |
| const MACROBLOCK *x, BLOCK_SIZE bsize, BLOCK_SIZE sb_size, float th, |
| uint8_t *directional_mode_skip_mask, int is_chroma) { |
| const int plane = is_chroma ? AOM_PLANE_U : AOM_PLANE_Y; |
| float hist[BINS] = { 0.0f }; |
| collect_hog_data(x, bsize, sb_size, plane, hist); |
| |
| // Make prediction for each of the mode |
| float scores[DIRECTIONAL_MODES] = { 0.0f }; |
| av1_nn_predict(hist, &av1_intra_hog_model_nnconfig, 1, scores); |
| for (UV_PREDICTION_MODE uv_mode = UV_V_PRED; uv_mode <= UV_D67_PRED; |
| uv_mode++) { |
| if (scores[uv_mode - UV_V_PRED] <= th) { |
| directional_mode_skip_mask[uv_mode] = 1; |
| } |
| } |
| } |
| #undef BINS |
| |
| // Returns the cost needed to send a uniformly distributed r.v. |
| static AOM_INLINE int write_uniform_cost(int n, int v) { |
| const int l = get_unsigned_bits(n); |
| const int m = (1 << l) - n; |
| if (l == 0) return 0; |
| if (v < m) |
| return av1_cost_literal(l - 1); |
| else |
| return av1_cost_literal(l); |
| } |
| /*!\endcond */ |
| |
| /*!\brief Returns the rate cost for luma prediction mode info of intra blocks. |
| * |
| * \callergraph |
| */ |
| static AOM_INLINE int intra_mode_info_cost_y(const AV1_COMP *cpi, |
| const MACROBLOCK *x, |
| const MB_MODE_INFO *mbmi, |
| BLOCK_SIZE bsize, int mode_cost) { |
| int total_rate = mode_cost; |
| const ModeCosts *mode_costs = &x->mode_costs; |
| const int use_palette = mbmi->palette_mode_info.palette_size[0] > 0; |
| const int use_filter_intra = mbmi->filter_intra_mode_info.use_filter_intra; |
| const int use_intrabc = mbmi->use_intrabc; |
| // Can only activate one mode. |
| assert(((mbmi->mode != DC_PRED) + use_palette + use_intrabc + |
| use_filter_intra) <= 1); |
| const int try_palette = av1_allow_palette( |
| cpi->common.features.allow_screen_content_tools, mbmi->bsize); |
| if (try_palette && mbmi->mode == DC_PRED) { |
| const MACROBLOCKD *xd = &x->e_mbd; |
| const int bsize_ctx = av1_get_palette_bsize_ctx(bsize); |
| const int mode_ctx = av1_get_palette_mode_ctx(xd); |
| total_rate += |
| mode_costs->palette_y_mode_cost[bsize_ctx][mode_ctx][use_palette]; |
| if (use_palette) { |
| const uint8_t *const color_map = xd->plane[0].color_index_map; |
| int block_width, block_height, rows, cols; |
| av1_get_block_dimensions(bsize, 0, xd, &block_width, &block_height, &rows, |
| &cols); |
| const int plt_size = mbmi->palette_mode_info.palette_size[0]; |
| int palette_mode_cost = |
| mode_costs |
| ->palette_y_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] + |
| write_uniform_cost(plt_size, color_map[0]); |
| uint16_t color_cache[2 * PALETTE_MAX_SIZE]; |
| const int n_cache = av1_get_palette_cache(xd, 0, color_cache); |
| palette_mode_cost += |
| av1_palette_color_cost_y(&mbmi->palette_mode_info, color_cache, |
| n_cache, cpi->common.seq_params->bit_depth); |
| palette_mode_cost += |
| av1_cost_color_map(x, 0, bsize, mbmi->tx_size, PALETTE_MAP); |
| total_rate += palette_mode_cost; |
| } |
| } |
| if (av1_filter_intra_allowed(&cpi->common, mbmi)) { |
| total_rate += mode_costs->filter_intra_cost[mbmi->bsize][use_filter_intra]; |
| if (use_filter_intra) { |
| total_rate += |
| mode_costs->filter_intra_mode_cost[mbmi->filter_intra_mode_info |
| .filter_intra_mode]; |
| } |
| } |
| if (av1_is_directional_mode(mbmi->mode)) { |
| if (av1_use_angle_delta(bsize)) { |
| total_rate += |
| mode_costs->angle_delta_cost[mbmi->mode - V_PRED] |
| [MAX_ANGLE_DELTA + |
| mbmi->angle_delta[PLANE_TYPE_Y]]; |
| } |
| } |
| if (av1_allow_intrabc(&cpi->common)) |
| total_rate += mode_costs->intrabc_cost[use_intrabc]; |
| return total_rate; |
| } |
| |
| /*!\brief Return the rate cost for chroma prediction mode info of intra blocks. |
| * |
| * \callergraph |
| */ |
| static AOM_INLINE int intra_mode_info_cost_uv(const AV1_COMP *cpi, |
| const MACROBLOCK *x, |
| const MB_MODE_INFO *mbmi, |
| BLOCK_SIZE bsize, int mode_cost) { |
| int total_rate = mode_cost; |
| const ModeCosts *mode_costs = &x->mode_costs; |
| const int use_palette = mbmi->palette_mode_info.palette_size[1] > 0; |
| const UV_PREDICTION_MODE mode = mbmi->uv_mode; |
| // Can only activate one mode. |
| assert(((mode != UV_DC_PRED) + use_palette + mbmi->use_intrabc) <= 1); |
| |
| const int try_palette = av1_allow_palette( |
| cpi->common.features.allow_screen_content_tools, mbmi->bsize); |
| if (try_palette && mode == UV_DC_PRED) { |
| const PALETTE_MODE_INFO *pmi = &mbmi->palette_mode_info; |
| total_rate += |
| mode_costs->palette_uv_mode_cost[pmi->palette_size[0] > 0][use_palette]; |
| if (use_palette) { |
| const int bsize_ctx = av1_get_palette_bsize_ctx(bsize); |
| const int plt_size = pmi->palette_size[1]; |
| const MACROBLOCKD *xd = &x->e_mbd; |
| const uint8_t *const color_map = xd->plane[1].color_index_map; |
| int palette_mode_cost = |
| mode_costs |
| ->palette_uv_size_cost[bsize_ctx][plt_size - PALETTE_MIN_SIZE] + |
| write_uniform_cost(plt_size, color_map[0]); |
| uint16_t color_cache[2 * PALETTE_MAX_SIZE]; |
| const int n_cache = av1_get_palette_cache(xd, 1, color_cache); |
| palette_mode_cost += av1_palette_color_cost_uv( |
| pmi, color_cache, n_cache, cpi->common.seq_params->bit_depth); |
| palette_mode_cost += |
| av1_cost_color_map(x, 1, bsize, mbmi->tx_size, PALETTE_MAP); |
| total_rate += palette_mode_cost; |
| } |
| } |
| if (av1_is_directional_mode(get_uv_mode(mode))) { |
| if (av1_use_angle_delta(bsize)) { |
| total_rate += |
| mode_costs->angle_delta_cost[mode - V_PRED] |
| [mbmi->angle_delta[PLANE_TYPE_UV] + |
| MAX_ANGLE_DELTA]; |
| } |
| } |
| return total_rate; |
| } |
| |
| /*!\cond */ |
| // Makes a quick intra prediction and estimate the rdcost with a model without |
| // going through the whole txfm/quantize/itxfm process. |
| static int64_t intra_model_rd(const AV1_COMMON *cm, MACROBLOCK *const x, |
| int plane, BLOCK_SIZE plane_bsize, |
| TX_SIZE tx_size, int use_hadamard) { |
| MACROBLOCKD *const xd = &x->e_mbd; |
| const BitDepthInfo bd_info = get_bit_depth_info(xd); |
| int row, col; |
| assert(!is_inter_block(xd->mi[0])); |
| const int stepr = tx_size_high_unit[tx_size]; |
| const int stepc = tx_size_wide_unit[tx_size]; |
| const int txbw = tx_size_wide[tx_size]; |
| const int txbh = tx_size_high[tx_size]; |
| const int max_blocks_wide = max_block_wide(xd, plane_bsize, plane); |
| const int max_blocks_high = max_block_high(xd, plane_bsize, plane); |
| int64_t satd_cost = 0; |
| struct macroblock_plane *p = &x->plane[plane]; |
| struct macroblockd_plane *pd = &xd->plane[plane]; |
| // Prediction. |
| for (row = 0; row < max_blocks_high; row += stepr) { |
| for (col = 0; col < max_blocks_wide; col += stepc) { |
| av1_predict_intra_block_facade(cm, xd, plane, col, row, tx_size); |
| // Here we use p->src_diff and p->coeff as temporary buffers for |
| // prediction residue and transform coefficients. The buffers are only |
| // used in this for loop, therefore we don't need to properly add offset |
| // to the buffers. |
| av1_subtract_block( |
| bd_info, txbh, txbw, p->src_diff, block_size_wide[plane_bsize], |
| p->src.buf + (((row * p->src.stride) + col) << 2), p->src.stride, |
| pd->dst.buf + (((row * pd->dst.stride) + col) << 2), pd->dst.stride); |
| av1_quick_txfm(use_hadamard, tx_size, bd_info, p->src_diff, |
| block_size_wide[plane_bsize], p->coeff); |
| satd_cost += aom_satd(p->coeff, tx_size_2d[tx_size]); |
| } |
| } |
| return satd_cost; |
| } |
| /*!\endcond */ |
| |
| /*!\brief Estimate the luma rdcost of a given intra mode and try to prune it. |
| * |
| * \ingroup intra_mode_search |
| * \callergraph |
| * This function first makes a quick luma prediction and estimates the rdcost |
| * with a model without going through the txfm, then try to prune the current |
| * mode if the new estimate y_rd > 1.25 * best_model_rd. |
| * |
| * \return Returns 1 if the given mode is prune; 0 otherwise. |
| */ |
| static AOM_INLINE int model_intra_yrd_and_prune(const AV1_COMP *const cpi, |
| MACROBLOCK *x, BLOCK_SIZE bsize, |
| int64_t *best_model_rd) { |
| const TX_SIZE tx_size = AOMMIN(TX_32X32, max_txsize_lookup[bsize]); |
| const int plane = 0; |
| const AV1_COMMON *cm = &cpi->common; |
| const int64_t this_model_rd = |
| intra_model_rd(cm, x, plane, bsize, tx_size, /*use_hadamard=*/1); |
| if (*best_model_rd != INT64_MAX && |
| this_model_rd > *best_model_rd + (*best_model_rd >> 2)) { |
| return 1; |
| } else if (this_model_rd < *best_model_rd) { |
| *best_model_rd = this_model_rd; |
| } |
| return 0; |
| } |
| |
| #ifdef __cplusplus |
| } // extern "C" |
| #endif |
| |
| #endif // AOM_AV1_ENCODER_INTRA_MODE_SEARCH_UTILS_H_ |
