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-rw-r--r--media/libaom/src/av1/common/warped_motion.c1148
1 files changed, 1148 insertions, 0 deletions
diff --git a/media/libaom/src/av1/common/warped_motion.c b/media/libaom/src/av1/common/warped_motion.c
new file mode 100644
index 000000000..4144c4389
--- /dev/null
+++ b/media/libaom/src/av1/common/warped_motion.c
@@ -0,0 +1,1148 @@
+/*
+ * Copyright (c) 2016, 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 <stdio.h>
+#include <stdlib.h>
+#include <memory.h>
+#include <math.h>
+#include <assert.h>
+
+#include "config/av1_rtcd.h"
+
+#include "av1/common/warped_motion.h"
+#include "av1/common/scale.h"
+
+#define WARP_ERROR_BLOCK 32
+
+/* clang-format off */
+static const int error_measure_lut[512] = {
+ // pow 0.7
+ 16384, 16339, 16294, 16249, 16204, 16158, 16113, 16068,
+ 16022, 15977, 15932, 15886, 15840, 15795, 15749, 15703,
+ 15657, 15612, 15566, 15520, 15474, 15427, 15381, 15335,
+ 15289, 15242, 15196, 15149, 15103, 15056, 15010, 14963,
+ 14916, 14869, 14822, 14775, 14728, 14681, 14634, 14587,
+ 14539, 14492, 14445, 14397, 14350, 14302, 14254, 14206,
+ 14159, 14111, 14063, 14015, 13967, 13918, 13870, 13822,
+ 13773, 13725, 13676, 13628, 13579, 13530, 13481, 13432,
+ 13383, 13334, 13285, 13236, 13187, 13137, 13088, 13038,
+ 12988, 12939, 12889, 12839, 12789, 12739, 12689, 12639,
+ 12588, 12538, 12487, 12437, 12386, 12335, 12285, 12234,
+ 12183, 12132, 12080, 12029, 11978, 11926, 11875, 11823,
+ 11771, 11719, 11667, 11615, 11563, 11511, 11458, 11406,
+ 11353, 11301, 11248, 11195, 11142, 11089, 11036, 10982,
+ 10929, 10875, 10822, 10768, 10714, 10660, 10606, 10552,
+ 10497, 10443, 10388, 10333, 10279, 10224, 10168, 10113,
+ 10058, 10002, 9947, 9891, 9835, 9779, 9723, 9666,
+ 9610, 9553, 9497, 9440, 9383, 9326, 9268, 9211,
+ 9153, 9095, 9037, 8979, 8921, 8862, 8804, 8745,
+ 8686, 8627, 8568, 8508, 8449, 8389, 8329, 8269,
+ 8208, 8148, 8087, 8026, 7965, 7903, 7842, 7780,
+ 7718, 7656, 7593, 7531, 7468, 7405, 7341, 7278,
+ 7214, 7150, 7086, 7021, 6956, 6891, 6826, 6760,
+ 6695, 6628, 6562, 6495, 6428, 6361, 6293, 6225,
+ 6157, 6089, 6020, 5950, 5881, 5811, 5741, 5670,
+ 5599, 5527, 5456, 5383, 5311, 5237, 5164, 5090,
+ 5015, 4941, 4865, 4789, 4713, 4636, 4558, 4480,
+ 4401, 4322, 4242, 4162, 4080, 3998, 3916, 3832,
+ 3748, 3663, 3577, 3490, 3402, 3314, 3224, 3133,
+ 3041, 2948, 2854, 2758, 2661, 2562, 2461, 2359,
+ 2255, 2148, 2040, 1929, 1815, 1698, 1577, 1452,
+ 1323, 1187, 1045, 894, 731, 550, 339, 0,
+ 339, 550, 731, 894, 1045, 1187, 1323, 1452,
+ 1577, 1698, 1815, 1929, 2040, 2148, 2255, 2359,
+ 2461, 2562, 2661, 2758, 2854, 2948, 3041, 3133,
+ 3224, 3314, 3402, 3490, 3577, 3663, 3748, 3832,
+ 3916, 3998, 4080, 4162, 4242, 4322, 4401, 4480,
+ 4558, 4636, 4713, 4789, 4865, 4941, 5015, 5090,
+ 5164, 5237, 5311, 5383, 5456, 5527, 5599, 5670,
+ 5741, 5811, 5881, 5950, 6020, 6089, 6157, 6225,
+ 6293, 6361, 6428, 6495, 6562, 6628, 6695, 6760,
+ 6826, 6891, 6956, 7021, 7086, 7150, 7214, 7278,
+ 7341, 7405, 7468, 7531, 7593, 7656, 7718, 7780,
+ 7842, 7903, 7965, 8026, 8087, 8148, 8208, 8269,
+ 8329, 8389, 8449, 8508, 8568, 8627, 8686, 8745,
+ 8804, 8862, 8921, 8979, 9037, 9095, 9153, 9211,
+ 9268, 9326, 9383, 9440, 9497, 9553, 9610, 9666,
+ 9723, 9779, 9835, 9891, 9947, 10002, 10058, 10113,
+ 10168, 10224, 10279, 10333, 10388, 10443, 10497, 10552,
+ 10606, 10660, 10714, 10768, 10822, 10875, 10929, 10982,
+ 11036, 11089, 11142, 11195, 11248, 11301, 11353, 11406,
+ 11458, 11511, 11563, 11615, 11667, 11719, 11771, 11823,
+ 11875, 11926, 11978, 12029, 12080, 12132, 12183, 12234,
+ 12285, 12335, 12386, 12437, 12487, 12538, 12588, 12639,
+ 12689, 12739, 12789, 12839, 12889, 12939, 12988, 13038,
+ 13088, 13137, 13187, 13236, 13285, 13334, 13383, 13432,
+ 13481, 13530, 13579, 13628, 13676, 13725, 13773, 13822,
+ 13870, 13918, 13967, 14015, 14063, 14111, 14159, 14206,
+ 14254, 14302, 14350, 14397, 14445, 14492, 14539, 14587,
+ 14634, 14681, 14728, 14775, 14822, 14869, 14916, 14963,
+ 15010, 15056, 15103, 15149, 15196, 15242, 15289, 15335,
+ 15381, 15427, 15474, 15520, 15566, 15612, 15657, 15703,
+ 15749, 15795, 15840, 15886, 15932, 15977, 16022, 16068,
+ 16113, 16158, 16204, 16249, 16294, 16339, 16384, 16384,
+};
+/* clang-format on */
+
+// For warping, we really use a 6-tap filter, but we do blocks of 8 pixels
+// at a time. The zoom/rotation/shear in the model are applied to the
+// "fractional" position of each pixel, which therefore varies within
+// [-1, 2) * WARPEDPIXEL_PREC_SHIFTS.
+// We need an extra 2 taps to fit this in, for a total of 8 taps.
+/* clang-format off */
+const int16_t warped_filter[WARPEDPIXEL_PREC_SHIFTS * 3 + 1][8] = {
+#if WARPEDPIXEL_PREC_BITS == 6
+ // [-1, 0)
+ { 0, 0, 127, 1, 0, 0, 0, 0 }, { 0, - 1, 127, 2, 0, 0, 0, 0 },
+ { 1, - 3, 127, 4, - 1, 0, 0, 0 }, { 1, - 4, 126, 6, - 2, 1, 0, 0 },
+ { 1, - 5, 126, 8, - 3, 1, 0, 0 }, { 1, - 6, 125, 11, - 4, 1, 0, 0 },
+ { 1, - 7, 124, 13, - 4, 1, 0, 0 }, { 2, - 8, 123, 15, - 5, 1, 0, 0 },
+ { 2, - 9, 122, 18, - 6, 1, 0, 0 }, { 2, -10, 121, 20, - 6, 1, 0, 0 },
+ { 2, -11, 120, 22, - 7, 2, 0, 0 }, { 2, -12, 119, 25, - 8, 2, 0, 0 },
+ { 3, -13, 117, 27, - 8, 2, 0, 0 }, { 3, -13, 116, 29, - 9, 2, 0, 0 },
+ { 3, -14, 114, 32, -10, 3, 0, 0 }, { 3, -15, 113, 35, -10, 2, 0, 0 },
+ { 3, -15, 111, 37, -11, 3, 0, 0 }, { 3, -16, 109, 40, -11, 3, 0, 0 },
+ { 3, -16, 108, 42, -12, 3, 0, 0 }, { 4, -17, 106, 45, -13, 3, 0, 0 },
+ { 4, -17, 104, 47, -13, 3, 0, 0 }, { 4, -17, 102, 50, -14, 3, 0, 0 },
+ { 4, -17, 100, 52, -14, 3, 0, 0 }, { 4, -18, 98, 55, -15, 4, 0, 0 },
+ { 4, -18, 96, 58, -15, 3, 0, 0 }, { 4, -18, 94, 60, -16, 4, 0, 0 },
+ { 4, -18, 91, 63, -16, 4, 0, 0 }, { 4, -18, 89, 65, -16, 4, 0, 0 },
+ { 4, -18, 87, 68, -17, 4, 0, 0 }, { 4, -18, 85, 70, -17, 4, 0, 0 },
+ { 4, -18, 82, 73, -17, 4, 0, 0 }, { 4, -18, 80, 75, -17, 4, 0, 0 },
+ { 4, -18, 78, 78, -18, 4, 0, 0 }, { 4, -17, 75, 80, -18, 4, 0, 0 },
+ { 4, -17, 73, 82, -18, 4, 0, 0 }, { 4, -17, 70, 85, -18, 4, 0, 0 },
+ { 4, -17, 68, 87, -18, 4, 0, 0 }, { 4, -16, 65, 89, -18, 4, 0, 0 },
+ { 4, -16, 63, 91, -18, 4, 0, 0 }, { 4, -16, 60, 94, -18, 4, 0, 0 },
+ { 3, -15, 58, 96, -18, 4, 0, 0 }, { 4, -15, 55, 98, -18, 4, 0, 0 },
+ { 3, -14, 52, 100, -17, 4, 0, 0 }, { 3, -14, 50, 102, -17, 4, 0, 0 },
+ { 3, -13, 47, 104, -17, 4, 0, 0 }, { 3, -13, 45, 106, -17, 4, 0, 0 },
+ { 3, -12, 42, 108, -16, 3, 0, 0 }, { 3, -11, 40, 109, -16, 3, 0, 0 },
+ { 3, -11, 37, 111, -15, 3, 0, 0 }, { 2, -10, 35, 113, -15, 3, 0, 0 },
+ { 3, -10, 32, 114, -14, 3, 0, 0 }, { 2, - 9, 29, 116, -13, 3, 0, 0 },
+ { 2, - 8, 27, 117, -13, 3, 0, 0 }, { 2, - 8, 25, 119, -12, 2, 0, 0 },
+ { 2, - 7, 22, 120, -11, 2, 0, 0 }, { 1, - 6, 20, 121, -10, 2, 0, 0 },
+ { 1, - 6, 18, 122, - 9, 2, 0, 0 }, { 1, - 5, 15, 123, - 8, 2, 0, 0 },
+ { 1, - 4, 13, 124, - 7, 1, 0, 0 }, { 1, - 4, 11, 125, - 6, 1, 0, 0 },
+ { 1, - 3, 8, 126, - 5, 1, 0, 0 }, { 1, - 2, 6, 126, - 4, 1, 0, 0 },
+ { 0, - 1, 4, 127, - 3, 1, 0, 0 }, { 0, 0, 2, 127, - 1, 0, 0, 0 },
+
+ // [0, 1)
+ { 0, 0, 0, 127, 1, 0, 0, 0}, { 0, 0, -1, 127, 2, 0, 0, 0},
+ { 0, 1, -3, 127, 4, -2, 1, 0}, { 0, 1, -5, 127, 6, -2, 1, 0},
+ { 0, 2, -6, 126, 8, -3, 1, 0}, {-1, 2, -7, 126, 11, -4, 2, -1},
+ {-1, 3, -8, 125, 13, -5, 2, -1}, {-1, 3, -10, 124, 16, -6, 3, -1},
+ {-1, 4, -11, 123, 18, -7, 3, -1}, {-1, 4, -12, 122, 20, -7, 3, -1},
+ {-1, 4, -13, 121, 23, -8, 3, -1}, {-2, 5, -14, 120, 25, -9, 4, -1},
+ {-1, 5, -15, 119, 27, -10, 4, -1}, {-1, 5, -16, 118, 30, -11, 4, -1},
+ {-2, 6, -17, 116, 33, -12, 5, -1}, {-2, 6, -17, 114, 35, -12, 5, -1},
+ {-2, 6, -18, 113, 38, -13, 5, -1}, {-2, 7, -19, 111, 41, -14, 6, -2},
+ {-2, 7, -19, 110, 43, -15, 6, -2}, {-2, 7, -20, 108, 46, -15, 6, -2},
+ {-2, 7, -20, 106, 49, -16, 6, -2}, {-2, 7, -21, 104, 51, -16, 7, -2},
+ {-2, 7, -21, 102, 54, -17, 7, -2}, {-2, 8, -21, 100, 56, -18, 7, -2},
+ {-2, 8, -22, 98, 59, -18, 7, -2}, {-2, 8, -22, 96, 62, -19, 7, -2},
+ {-2, 8, -22, 94, 64, -19, 7, -2}, {-2, 8, -22, 91, 67, -20, 8, -2},
+ {-2, 8, -22, 89, 69, -20, 8, -2}, {-2, 8, -22, 87, 72, -21, 8, -2},
+ {-2, 8, -21, 84, 74, -21, 8, -2}, {-2, 8, -22, 82, 77, -21, 8, -2},
+ {-2, 8, -21, 79, 79, -21, 8, -2}, {-2, 8, -21, 77, 82, -22, 8, -2},
+ {-2, 8, -21, 74, 84, -21, 8, -2}, {-2, 8, -21, 72, 87, -22, 8, -2},
+ {-2, 8, -20, 69, 89, -22, 8, -2}, {-2, 8, -20, 67, 91, -22, 8, -2},
+ {-2, 7, -19, 64, 94, -22, 8, -2}, {-2, 7, -19, 62, 96, -22, 8, -2},
+ {-2, 7, -18, 59, 98, -22, 8, -2}, {-2, 7, -18, 56, 100, -21, 8, -2},
+ {-2, 7, -17, 54, 102, -21, 7, -2}, {-2, 7, -16, 51, 104, -21, 7, -2},
+ {-2, 6, -16, 49, 106, -20, 7, -2}, {-2, 6, -15, 46, 108, -20, 7, -2},
+ {-2, 6, -15, 43, 110, -19, 7, -2}, {-2, 6, -14, 41, 111, -19, 7, -2},
+ {-1, 5, -13, 38, 113, -18, 6, -2}, {-1, 5, -12, 35, 114, -17, 6, -2},
+ {-1, 5, -12, 33, 116, -17, 6, -2}, {-1, 4, -11, 30, 118, -16, 5, -1},
+ {-1, 4, -10, 27, 119, -15, 5, -1}, {-1, 4, -9, 25, 120, -14, 5, -2},
+ {-1, 3, -8, 23, 121, -13, 4, -1}, {-1, 3, -7, 20, 122, -12, 4, -1},
+ {-1, 3, -7, 18, 123, -11, 4, -1}, {-1, 3, -6, 16, 124, -10, 3, -1},
+ {-1, 2, -5, 13, 125, -8, 3, -1}, {-1, 2, -4, 11, 126, -7, 2, -1},
+ { 0, 1, -3, 8, 126, -6, 2, 0}, { 0, 1, -2, 6, 127, -5, 1, 0},
+ { 0, 1, -2, 4, 127, -3, 1, 0}, { 0, 0, 0, 2, 127, -1, 0, 0},
+
+ // [1, 2)
+ { 0, 0, 0, 1, 127, 0, 0, 0 }, { 0, 0, 0, - 1, 127, 2, 0, 0 },
+ { 0, 0, 1, - 3, 127, 4, - 1, 0 }, { 0, 0, 1, - 4, 126, 6, - 2, 1 },
+ { 0, 0, 1, - 5, 126, 8, - 3, 1 }, { 0, 0, 1, - 6, 125, 11, - 4, 1 },
+ { 0, 0, 1, - 7, 124, 13, - 4, 1 }, { 0, 0, 2, - 8, 123, 15, - 5, 1 },
+ { 0, 0, 2, - 9, 122, 18, - 6, 1 }, { 0, 0, 2, -10, 121, 20, - 6, 1 },
+ { 0, 0, 2, -11, 120, 22, - 7, 2 }, { 0, 0, 2, -12, 119, 25, - 8, 2 },
+ { 0, 0, 3, -13, 117, 27, - 8, 2 }, { 0, 0, 3, -13, 116, 29, - 9, 2 },
+ { 0, 0, 3, -14, 114, 32, -10, 3 }, { 0, 0, 3, -15, 113, 35, -10, 2 },
+ { 0, 0, 3, -15, 111, 37, -11, 3 }, { 0, 0, 3, -16, 109, 40, -11, 3 },
+ { 0, 0, 3, -16, 108, 42, -12, 3 }, { 0, 0, 4, -17, 106, 45, -13, 3 },
+ { 0, 0, 4, -17, 104, 47, -13, 3 }, { 0, 0, 4, -17, 102, 50, -14, 3 },
+ { 0, 0, 4, -17, 100, 52, -14, 3 }, { 0, 0, 4, -18, 98, 55, -15, 4 },
+ { 0, 0, 4, -18, 96, 58, -15, 3 }, { 0, 0, 4, -18, 94, 60, -16, 4 },
+ { 0, 0, 4, -18, 91, 63, -16, 4 }, { 0, 0, 4, -18, 89, 65, -16, 4 },
+ { 0, 0, 4, -18, 87, 68, -17, 4 }, { 0, 0, 4, -18, 85, 70, -17, 4 },
+ { 0, 0, 4, -18, 82, 73, -17, 4 }, { 0, 0, 4, -18, 80, 75, -17, 4 },
+ { 0, 0, 4, -18, 78, 78, -18, 4 }, { 0, 0, 4, -17, 75, 80, -18, 4 },
+ { 0, 0, 4, -17, 73, 82, -18, 4 }, { 0, 0, 4, -17, 70, 85, -18, 4 },
+ { 0, 0, 4, -17, 68, 87, -18, 4 }, { 0, 0, 4, -16, 65, 89, -18, 4 },
+ { 0, 0, 4, -16, 63, 91, -18, 4 }, { 0, 0, 4, -16, 60, 94, -18, 4 },
+ { 0, 0, 3, -15, 58, 96, -18, 4 }, { 0, 0, 4, -15, 55, 98, -18, 4 },
+ { 0, 0, 3, -14, 52, 100, -17, 4 }, { 0, 0, 3, -14, 50, 102, -17, 4 },
+ { 0, 0, 3, -13, 47, 104, -17, 4 }, { 0, 0, 3, -13, 45, 106, -17, 4 },
+ { 0, 0, 3, -12, 42, 108, -16, 3 }, { 0, 0, 3, -11, 40, 109, -16, 3 },
+ { 0, 0, 3, -11, 37, 111, -15, 3 }, { 0, 0, 2, -10, 35, 113, -15, 3 },
+ { 0, 0, 3, -10, 32, 114, -14, 3 }, { 0, 0, 2, - 9, 29, 116, -13, 3 },
+ { 0, 0, 2, - 8, 27, 117, -13, 3 }, { 0, 0, 2, - 8, 25, 119, -12, 2 },
+ { 0, 0, 2, - 7, 22, 120, -11, 2 }, { 0, 0, 1, - 6, 20, 121, -10, 2 },
+ { 0, 0, 1, - 6, 18, 122, - 9, 2 }, { 0, 0, 1, - 5, 15, 123, - 8, 2 },
+ { 0, 0, 1, - 4, 13, 124, - 7, 1 }, { 0, 0, 1, - 4, 11, 125, - 6, 1 },
+ { 0, 0, 1, - 3, 8, 126, - 5, 1 }, { 0, 0, 1, - 2, 6, 126, - 4, 1 },
+ { 0, 0, 0, - 1, 4, 127, - 3, 1 }, { 0, 0, 0, 0, 2, 127, - 1, 0 },
+ // dummy (replicate row index 191)
+ { 0, 0, 0, 0, 2, 127, - 1, 0 },
+
+#elif WARPEDPIXEL_PREC_BITS == 5
+ // [-1, 0)
+ {0, 0, 127, 1, 0, 0, 0, 0}, {1, -3, 127, 4, -1, 0, 0, 0},
+ {1, -5, 126, 8, -3, 1, 0, 0}, {1, -7, 124, 13, -4, 1, 0, 0},
+ {2, -9, 122, 18, -6, 1, 0, 0}, {2, -11, 120, 22, -7, 2, 0, 0},
+ {3, -13, 117, 27, -8, 2, 0, 0}, {3, -14, 114, 32, -10, 3, 0, 0},
+ {3, -15, 111, 37, -11, 3, 0, 0}, {3, -16, 108, 42, -12, 3, 0, 0},
+ {4, -17, 104, 47, -13, 3, 0, 0}, {4, -17, 100, 52, -14, 3, 0, 0},
+ {4, -18, 96, 58, -15, 3, 0, 0}, {4, -18, 91, 63, -16, 4, 0, 0},
+ {4, -18, 87, 68, -17, 4, 0, 0}, {4, -18, 82, 73, -17, 4, 0, 0},
+ {4, -18, 78, 78, -18, 4, 0, 0}, {4, -17, 73, 82, -18, 4, 0, 0},
+ {4, -17, 68, 87, -18, 4, 0, 0}, {4, -16, 63, 91, -18, 4, 0, 0},
+ {3, -15, 58, 96, -18, 4, 0, 0}, {3, -14, 52, 100, -17, 4, 0, 0},
+ {3, -13, 47, 104, -17, 4, 0, 0}, {3, -12, 42, 108, -16, 3, 0, 0},
+ {3, -11, 37, 111, -15, 3, 0, 0}, {3, -10, 32, 114, -14, 3, 0, 0},
+ {2, -8, 27, 117, -13, 3, 0, 0}, {2, -7, 22, 120, -11, 2, 0, 0},
+ {1, -6, 18, 122, -9, 2, 0, 0}, {1, -4, 13, 124, -7, 1, 0, 0},
+ {1, -3, 8, 126, -5, 1, 0, 0}, {0, -1, 4, 127, -3, 1, 0, 0},
+ // [0, 1)
+ { 0, 0, 0, 127, 1, 0, 0, 0}, { 0, 1, -3, 127, 4, -2, 1, 0},
+ { 0, 2, -6, 126, 8, -3, 1, 0}, {-1, 3, -8, 125, 13, -5, 2, -1},
+ {-1, 4, -11, 123, 18, -7, 3, -1}, {-1, 4, -13, 121, 23, -8, 3, -1},
+ {-1, 5, -15, 119, 27, -10, 4, -1}, {-2, 6, -17, 116, 33, -12, 5, -1},
+ {-2, 6, -18, 113, 38, -13, 5, -1}, {-2, 7, -19, 110, 43, -15, 6, -2},
+ {-2, 7, -20, 106, 49, -16, 6, -2}, {-2, 7, -21, 102, 54, -17, 7, -2},
+ {-2, 8, -22, 98, 59, -18, 7, -2}, {-2, 8, -22, 94, 64, -19, 7, -2},
+ {-2, 8, -22, 89, 69, -20, 8, -2}, {-2, 8, -21, 84, 74, -21, 8, -2},
+ {-2, 8, -21, 79, 79, -21, 8, -2}, {-2, 8, -21, 74, 84, -21, 8, -2},
+ {-2, 8, -20, 69, 89, -22, 8, -2}, {-2, 7, -19, 64, 94, -22, 8, -2},
+ {-2, 7, -18, 59, 98, -22, 8, -2}, {-2, 7, -17, 54, 102, -21, 7, -2},
+ {-2, 6, -16, 49, 106, -20, 7, -2}, {-2, 6, -15, 43, 110, -19, 7, -2},
+ {-1, 5, -13, 38, 113, -18, 6, -2}, {-1, 5, -12, 33, 116, -17, 6, -2},
+ {-1, 4, -10, 27, 119, -15, 5, -1}, {-1, 3, -8, 23, 121, -13, 4, -1},
+ {-1, 3, -7, 18, 123, -11, 4, -1}, {-1, 2, -5, 13, 125, -8, 3, -1},
+ { 0, 1, -3, 8, 126, -6, 2, 0}, { 0, 1, -2, 4, 127, -3, 1, 0},
+ // [1, 2)
+ {0, 0, 0, 1, 127, 0, 0, 0}, {0, 0, 1, -3, 127, 4, -1, 0},
+ {0, 0, 1, -5, 126, 8, -3, 1}, {0, 0, 1, -7, 124, 13, -4, 1},
+ {0, 0, 2, -9, 122, 18, -6, 1}, {0, 0, 2, -11, 120, 22, -7, 2},
+ {0, 0, 3, -13, 117, 27, -8, 2}, {0, 0, 3, -14, 114, 32, -10, 3},
+ {0, 0, 3, -15, 111, 37, -11, 3}, {0, 0, 3, -16, 108, 42, -12, 3},
+ {0, 0, 4, -17, 104, 47, -13, 3}, {0, 0, 4, -17, 100, 52, -14, 3},
+ {0, 0, 4, -18, 96, 58, -15, 3}, {0, 0, 4, -18, 91, 63, -16, 4},
+ {0, 0, 4, -18, 87, 68, -17, 4}, {0, 0, 4, -18, 82, 73, -17, 4},
+ {0, 0, 4, -18, 78, 78, -18, 4}, {0, 0, 4, -17, 73, 82, -18, 4},
+ {0, 0, 4, -17, 68, 87, -18, 4}, {0, 0, 4, -16, 63, 91, -18, 4},
+ {0, 0, 3, -15, 58, 96, -18, 4}, {0, 0, 3, -14, 52, 100, -17, 4},
+ {0, 0, 3, -13, 47, 104, -17, 4}, {0, 0, 3, -12, 42, 108, -16, 3},
+ {0, 0, 3, -11, 37, 111, -15, 3}, {0, 0, 3, -10, 32, 114, -14, 3},
+ {0, 0, 2, -8, 27, 117, -13, 3}, {0, 0, 2, -7, 22, 120, -11, 2},
+ {0, 0, 1, -6, 18, 122, -9, 2}, {0, 0, 1, -4, 13, 124, -7, 1},
+ {0, 0, 1, -3, 8, 126, -5, 1}, {0, 0, 0, -1, 4, 127, -3, 1},
+ // dummy (replicate row index 95)
+ {0, 0, 0, -1, 4, 127, -3, 1},
+
+#endif // WARPEDPIXEL_PREC_BITS == 6
+};
+
+/* clang-format on */
+
+#define DIV_LUT_PREC_BITS 14
+#define DIV_LUT_BITS 8
+#define DIV_LUT_NUM (1 << DIV_LUT_BITS)
+
+static const uint16_t div_lut[DIV_LUT_NUM + 1] = {
+ 16384, 16320, 16257, 16194, 16132, 16070, 16009, 15948, 15888, 15828, 15768,
+ 15709, 15650, 15592, 15534, 15477, 15420, 15364, 15308, 15252, 15197, 15142,
+ 15087, 15033, 14980, 14926, 14873, 14821, 14769, 14717, 14665, 14614, 14564,
+ 14513, 14463, 14413, 14364, 14315, 14266, 14218, 14170, 14122, 14075, 14028,
+ 13981, 13935, 13888, 13843, 13797, 13752, 13707, 13662, 13618, 13574, 13530,
+ 13487, 13443, 13400, 13358, 13315, 13273, 13231, 13190, 13148, 13107, 13066,
+ 13026, 12985, 12945, 12906, 12866, 12827, 12788, 12749, 12710, 12672, 12633,
+ 12596, 12558, 12520, 12483, 12446, 12409, 12373, 12336, 12300, 12264, 12228,
+ 12193, 12157, 12122, 12087, 12053, 12018, 11984, 11950, 11916, 11882, 11848,
+ 11815, 11782, 11749, 11716, 11683, 11651, 11619, 11586, 11555, 11523, 11491,
+ 11460, 11429, 11398, 11367, 11336, 11305, 11275, 11245, 11215, 11185, 11155,
+ 11125, 11096, 11067, 11038, 11009, 10980, 10951, 10923, 10894, 10866, 10838,
+ 10810, 10782, 10755, 10727, 10700, 10673, 10645, 10618, 10592, 10565, 10538,
+ 10512, 10486, 10460, 10434, 10408, 10382, 10356, 10331, 10305, 10280, 10255,
+ 10230, 10205, 10180, 10156, 10131, 10107, 10082, 10058, 10034, 10010, 9986,
+ 9963, 9939, 9916, 9892, 9869, 9846, 9823, 9800, 9777, 9754, 9732,
+ 9709, 9687, 9664, 9642, 9620, 9598, 9576, 9554, 9533, 9511, 9489,
+ 9468, 9447, 9425, 9404, 9383, 9362, 9341, 9321, 9300, 9279, 9259,
+ 9239, 9218, 9198, 9178, 9158, 9138, 9118, 9098, 9079, 9059, 9039,
+ 9020, 9001, 8981, 8962, 8943, 8924, 8905, 8886, 8867, 8849, 8830,
+ 8812, 8793, 8775, 8756, 8738, 8720, 8702, 8684, 8666, 8648, 8630,
+ 8613, 8595, 8577, 8560, 8542, 8525, 8508, 8490, 8473, 8456, 8439,
+ 8422, 8405, 8389, 8372, 8355, 8339, 8322, 8306, 8289, 8273, 8257,
+ 8240, 8224, 8208, 8192,
+};
+
+// Decomposes a divisor D such that 1/D = y/2^shift, where y is returned
+// at precision of DIV_LUT_PREC_BITS along with the shift.
+static int16_t resolve_divisor_64(uint64_t D, int16_t *shift) {
+ int64_t f;
+ *shift = (int16_t)((D >> 32) ? get_msb((unsigned int)(D >> 32)) + 32
+ : get_msb((unsigned int)D));
+ // e is obtained from D after resetting the most significant 1 bit.
+ const int64_t e = D - ((uint64_t)1 << *shift);
+ // Get the most significant DIV_LUT_BITS (8) bits of e into f
+ if (*shift > DIV_LUT_BITS)
+ f = ROUND_POWER_OF_TWO_64(e, *shift - DIV_LUT_BITS);
+ else
+ f = e << (DIV_LUT_BITS - *shift);
+ assert(f <= DIV_LUT_NUM);
+ *shift += DIV_LUT_PREC_BITS;
+ // Use f as lookup into the precomputed table of multipliers
+ return div_lut[f];
+}
+
+static int16_t resolve_divisor_32(uint32_t D, int16_t *shift) {
+ int32_t f;
+ *shift = get_msb(D);
+ // e is obtained from D after resetting the most significant 1 bit.
+ const int32_t e = D - ((uint32_t)1 << *shift);
+ // Get the most significant DIV_LUT_BITS (8) bits of e into f
+ if (*shift > DIV_LUT_BITS)
+ f = ROUND_POWER_OF_TWO(e, *shift - DIV_LUT_BITS);
+ else
+ f = e << (DIV_LUT_BITS - *shift);
+ assert(f <= DIV_LUT_NUM);
+ *shift += DIV_LUT_PREC_BITS;
+ // Use f as lookup into the precomputed table of multipliers
+ return div_lut[f];
+}
+
+static int is_affine_valid(const WarpedMotionParams *const wm) {
+ const int32_t *mat = wm->wmmat;
+ return (mat[2] > 0);
+}
+
+static int is_affine_shear_allowed(int16_t alpha, int16_t beta, int16_t gamma,
+ int16_t delta) {
+ if ((4 * abs(alpha) + 7 * abs(beta) >= (1 << WARPEDMODEL_PREC_BITS)) ||
+ (4 * abs(gamma) + 4 * abs(delta) >= (1 << WARPEDMODEL_PREC_BITS)))
+ return 0;
+ else
+ return 1;
+}
+
+// Returns 1 on success or 0 on an invalid affine set
+int get_shear_params(WarpedMotionParams *wm) {
+ const int32_t *mat = wm->wmmat;
+ if (!is_affine_valid(wm)) return 0;
+ wm->alpha =
+ clamp(mat[2] - (1 << WARPEDMODEL_PREC_BITS), INT16_MIN, INT16_MAX);
+ wm->beta = clamp(mat[3], INT16_MIN, INT16_MAX);
+ int16_t shift;
+ int16_t y = resolve_divisor_32(abs(mat[2]), &shift) * (mat[2] < 0 ? -1 : 1);
+ int64_t v = ((int64_t)mat[4] * (1 << WARPEDMODEL_PREC_BITS)) * y;
+ wm->gamma =
+ clamp((int)ROUND_POWER_OF_TWO_SIGNED_64(v, shift), INT16_MIN, INT16_MAX);
+ v = ((int64_t)mat[3] * mat[4]) * y;
+ wm->delta = clamp(mat[5] - (int)ROUND_POWER_OF_TWO_SIGNED_64(v, shift) -
+ (1 << WARPEDMODEL_PREC_BITS),
+ INT16_MIN, INT16_MAX);
+
+ wm->alpha = ROUND_POWER_OF_TWO_SIGNED(wm->alpha, WARP_PARAM_REDUCE_BITS) *
+ (1 << WARP_PARAM_REDUCE_BITS);
+ wm->beta = ROUND_POWER_OF_TWO_SIGNED(wm->beta, WARP_PARAM_REDUCE_BITS) *
+ (1 << WARP_PARAM_REDUCE_BITS);
+ wm->gamma = ROUND_POWER_OF_TWO_SIGNED(wm->gamma, WARP_PARAM_REDUCE_BITS) *
+ (1 << WARP_PARAM_REDUCE_BITS);
+ wm->delta = ROUND_POWER_OF_TWO_SIGNED(wm->delta, WARP_PARAM_REDUCE_BITS) *
+ (1 << WARP_PARAM_REDUCE_BITS);
+
+ if (!is_affine_shear_allowed(wm->alpha, wm->beta, wm->gamma, wm->delta))
+ return 0;
+
+ return 1;
+}
+
+static INLINE int highbd_error_measure(int err, int bd) {
+ const int b = bd - 8;
+ const int bmask = (1 << b) - 1;
+ const int v = (1 << b);
+ err = abs(err);
+ const int e1 = err >> b;
+ const int e2 = err & bmask;
+ return error_measure_lut[255 + e1] * (v - e2) +
+ error_measure_lut[256 + e1] * e2;
+}
+
+/* Note: For an explanation of the warp algorithm, and some notes on bit widths
+ for hardware implementations, see the comments above av1_warp_affine_c
+*/
+void av1_highbd_warp_affine_c(const int32_t *mat, const uint16_t *ref,
+ int width, int height, int stride, uint16_t *pred,
+ int p_col, int p_row, int p_width, int p_height,
+ int p_stride, int subsampling_x,
+ int subsampling_y, int bd,
+ ConvolveParams *conv_params, int16_t alpha,
+ int16_t beta, int16_t gamma, int16_t delta) {
+ int32_t tmp[15 * 8];
+ const int reduce_bits_horiz =
+ conv_params->round_0 +
+ AOMMAX(bd + FILTER_BITS - conv_params->round_0 - 14, 0);
+ const int reduce_bits_vert = conv_params->is_compound
+ ? conv_params->round_1
+ : 2 * FILTER_BITS - reduce_bits_horiz;
+ const int max_bits_horiz = bd + FILTER_BITS + 1 - reduce_bits_horiz;
+ const int offset_bits_horiz = bd + FILTER_BITS - 1;
+ const int offset_bits_vert = bd + 2 * FILTER_BITS - reduce_bits_horiz;
+ const int round_bits =
+ 2 * FILTER_BITS - conv_params->round_0 - conv_params->round_1;
+ const int offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0;
+ (void)max_bits_horiz;
+ assert(IMPLIES(conv_params->is_compound, conv_params->dst != NULL));
+
+ for (int i = p_row; i < p_row + p_height; i += 8) {
+ for (int j = p_col; j < p_col + p_width; j += 8) {
+ // Calculate the center of this 8x8 block,
+ // project to luma coordinates (if in a subsampled chroma plane),
+ // apply the affine transformation,
+ // then convert back to the original coordinates (if necessary)
+ const int32_t src_x = (j + 4) << subsampling_x;
+ const int32_t src_y = (i + 4) << subsampling_y;
+ const int32_t dst_x = mat[2] * src_x + mat[3] * src_y + mat[0];
+ const int32_t dst_y = mat[4] * src_x + mat[5] * src_y + mat[1];
+ const int32_t x4 = dst_x >> subsampling_x;
+ const int32_t y4 = dst_y >> subsampling_y;
+
+ const int32_t ix4 = x4 >> WARPEDMODEL_PREC_BITS;
+ int32_t sx4 = x4 & ((1 << WARPEDMODEL_PREC_BITS) - 1);
+ const int32_t iy4 = y4 >> WARPEDMODEL_PREC_BITS;
+ int32_t sy4 = y4 & ((1 << WARPEDMODEL_PREC_BITS) - 1);
+
+ sx4 += alpha * (-4) + beta * (-4);
+ sy4 += gamma * (-4) + delta * (-4);
+
+ sx4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1);
+ sy4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1);
+
+ // Horizontal filter
+ for (int k = -7; k < 8; ++k) {
+ const int iy = clamp(iy4 + k, 0, height - 1);
+
+ int sx = sx4 + beta * (k + 4);
+ for (int l = -4; l < 4; ++l) {
+ int ix = ix4 + l - 3;
+ const int offs = ROUND_POWER_OF_TWO(sx, WARPEDDIFF_PREC_BITS) +
+ WARPEDPIXEL_PREC_SHIFTS;
+ assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3);
+ const int16_t *coeffs = warped_filter[offs];
+
+ int32_t sum = 1 << offset_bits_horiz;
+ for (int m = 0; m < 8; ++m) {
+ const int sample_x = clamp(ix + m, 0, width - 1);
+ sum += ref[iy * stride + sample_x] * coeffs[m];
+ }
+ sum = ROUND_POWER_OF_TWO(sum, reduce_bits_horiz);
+ assert(0 <= sum && sum < (1 << max_bits_horiz));
+ tmp[(k + 7) * 8 + (l + 4)] = sum;
+ sx += alpha;
+ }
+ }
+
+ // Vertical filter
+ for (int k = -4; k < AOMMIN(4, p_row + p_height - i - 4); ++k) {
+ int sy = sy4 + delta * (k + 4);
+ for (int l = -4; l < AOMMIN(4, p_col + p_width - j - 4); ++l) {
+ const int offs = ROUND_POWER_OF_TWO(sy, WARPEDDIFF_PREC_BITS) +
+ WARPEDPIXEL_PREC_SHIFTS;
+ assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3);
+ const int16_t *coeffs = warped_filter[offs];
+
+ int32_t sum = 1 << offset_bits_vert;
+ for (int m = 0; m < 8; ++m) {
+ sum += tmp[(k + m + 4) * 8 + (l + 4)] * coeffs[m];
+ }
+
+ if (conv_params->is_compound) {
+ CONV_BUF_TYPE *p =
+ &conv_params
+ ->dst[(i - p_row + k + 4) * conv_params->dst_stride +
+ (j - p_col + l + 4)];
+ sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert);
+ if (conv_params->do_average) {
+ uint16_t *dst16 =
+ &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)];
+ int32_t tmp32 = *p;
+ if (conv_params->use_jnt_comp_avg) {
+ tmp32 = tmp32 * conv_params->fwd_offset +
+ sum * conv_params->bck_offset;
+ tmp32 = tmp32 >> DIST_PRECISION_BITS;
+ } else {
+ tmp32 += sum;
+ tmp32 = tmp32 >> 1;
+ }
+ tmp32 = tmp32 - (1 << (offset_bits - conv_params->round_1)) -
+ (1 << (offset_bits - conv_params->round_1 - 1));
+ *dst16 =
+ clip_pixel_highbd(ROUND_POWER_OF_TWO(tmp32, round_bits), bd);
+ } else {
+ *p = sum;
+ }
+ } else {
+ uint16_t *p =
+ &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)];
+ sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert);
+ assert(0 <= sum && sum < (1 << (bd + 2)));
+ *p = clip_pixel_highbd(sum - (1 << (bd - 1)) - (1 << bd), bd);
+ }
+ sy += gamma;
+ }
+ }
+ }
+ }
+}
+
+static void highbd_warp_plane(WarpedMotionParams *wm, const uint8_t *const ref8,
+ int width, int height, int stride,
+ const uint8_t *const pred8, int p_col, int p_row,
+ int p_width, int p_height, int p_stride,
+ int subsampling_x, int subsampling_y, int bd,
+ ConvolveParams *conv_params) {
+ assert(wm->wmtype <= AFFINE);
+ if (wm->wmtype == ROTZOOM) {
+ wm->wmmat[5] = wm->wmmat[2];
+ wm->wmmat[4] = -wm->wmmat[3];
+ }
+ const int32_t *const mat = wm->wmmat;
+ const int16_t alpha = wm->alpha;
+ const int16_t beta = wm->beta;
+ const int16_t gamma = wm->gamma;
+ const int16_t delta = wm->delta;
+
+ const uint16_t *const ref = CONVERT_TO_SHORTPTR(ref8);
+ uint16_t *pred = CONVERT_TO_SHORTPTR(pred8);
+ av1_highbd_warp_affine(mat, ref, width, height, stride, pred, p_col, p_row,
+ p_width, p_height, p_stride, subsampling_x,
+ subsampling_y, bd, conv_params, alpha, beta, gamma,
+ delta);
+}
+
+static int64_t highbd_frame_error(const uint16_t *const ref, int stride,
+ const uint16_t *const dst, int p_width,
+ int p_height, int p_stride, int bd) {
+ int64_t sum_error = 0;
+ for (int i = 0; i < p_height; ++i) {
+ for (int j = 0; j < p_width; ++j) {
+ sum_error +=
+ highbd_error_measure(dst[j + i * p_stride] - ref[j + i * stride], bd);
+ }
+ }
+ return sum_error;
+}
+
+static int64_t highbd_warp_error(
+ WarpedMotionParams *wm, const uint8_t *const ref8, int width, int height,
+ int stride, const uint8_t *const dst8, int p_col, int p_row, int p_width,
+ int p_height, int p_stride, int subsampling_x, int subsampling_y, int bd,
+ int64_t best_error) {
+ int64_t gm_sumerr = 0;
+ const int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK);
+ const int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK);
+ uint16_t tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK];
+
+ ConvolveParams conv_params = get_conv_params(0, 0, bd);
+ conv_params.use_jnt_comp_avg = 0;
+ for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) {
+ for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) {
+ // avoid warping extra 8x8 blocks in the padded region of the frame
+ // when p_width and p_height are not multiples of WARP_ERROR_BLOCK
+ const int warp_w = AOMMIN(error_bsize_w, p_col + p_width - j);
+ const int warp_h = AOMMIN(error_bsize_h, p_row + p_height - i);
+ highbd_warp_plane(wm, ref8, width, height, stride,
+ CONVERT_TO_BYTEPTR(tmp), j, i, warp_w, warp_h,
+ WARP_ERROR_BLOCK, subsampling_x, subsampling_y, bd,
+ &conv_params);
+
+ gm_sumerr += highbd_frame_error(
+ tmp, WARP_ERROR_BLOCK, CONVERT_TO_SHORTPTR(dst8) + j + i * p_stride,
+ warp_w, warp_h, p_stride, bd);
+ if (gm_sumerr > best_error) return gm_sumerr;
+ }
+ }
+ return gm_sumerr;
+}
+
+static INLINE int error_measure(int err) {
+ return error_measure_lut[255 + err];
+}
+
+/* The warp filter for ROTZOOM and AFFINE models works as follows:
+ * Split the input into 8x8 blocks
+ * For each block, project the point (4, 4) within the block, to get the
+ overall block position. Split into integer and fractional coordinates,
+ maintaining full WARPEDMODEL precision
+ * Filter horizontally: Generate 15 rows of 8 pixels each. Each pixel gets a
+ variable horizontal offset. This means that, while the rows of the
+ intermediate buffer align with the rows of the *reference* image, the
+ columns align with the columns of the *destination* image.
+ * Filter vertically: Generate the output block (up to 8x8 pixels, but if the
+ destination is too small we crop the output at this stage). Each pixel has
+ a variable vertical offset, so that the resulting rows are aligned with
+ the rows of the destination image.
+
+ To accomplish these alignments, we factor the warp matrix as a
+ product of two shear / asymmetric zoom matrices:
+ / a b \ = / 1 0 \ * / 1+alpha beta \
+ \ c d / \ gamma 1+delta / \ 0 1 /
+ where a, b, c, d are wmmat[2], wmmat[3], wmmat[4], wmmat[5] respectively.
+ The horizontal shear (with alpha and beta) is applied first,
+ then the vertical shear (with gamma and delta) is applied second.
+
+ The only limitation is that, to fit this in a fixed 8-tap filter size,
+ the fractional pixel offsets must be at most +-1. Since the horizontal filter
+ generates 15 rows of 8 columns, and the initial point we project is at (4, 4)
+ within the block, the parameters must satisfy
+ 4 * |alpha| + 7 * |beta| <= 1 and 4 * |gamma| + 4 * |delta| <= 1
+ for this filter to be applicable.
+
+ Note: This function assumes that the caller has done all of the relevant
+ checks, ie. that we have a ROTZOOM or AFFINE model, that wm[4] and wm[5]
+ are set appropriately (if using a ROTZOOM model), and that alpha, beta,
+ gamma, delta are all in range.
+
+ TODO(david.barker): Maybe support scaled references?
+*/
+/* A note on hardware implementation:
+ The warp filter is intended to be implementable using the same hardware as
+ the high-precision convolve filters from the loop-restoration and
+ convolve-round experiments.
+
+ For a single filter stage, considering all of the coefficient sets for the
+ warp filter and the regular convolution filter, an input in the range
+ [0, 2^k - 1] is mapped into the range [-56 * (2^k - 1), 184 * (2^k - 1)]
+ before rounding.
+
+ Allowing for some changes to the filter coefficient sets, call the range
+ [-64 * 2^k, 192 * 2^k]. Then, if we initialize the accumulator to 64 * 2^k,
+ we can replace this by the range [0, 256 * 2^k], which can be stored in an
+ unsigned value with 8 + k bits.
+
+ This allows the derivation of the appropriate bit widths and offsets for
+ the various intermediate values: If
+
+ F := FILTER_BITS = 7 (or else the above ranges need adjusting)
+ So a *single* filter stage maps a k-bit input to a (k + F + 1)-bit
+ intermediate value.
+ H := ROUND0_BITS
+ V := VERSHEAR_REDUCE_PREC_BITS
+ (and note that we must have H + V = 2*F for the output to have the same
+ scale as the input)
+
+ then we end up with the following offsets and ranges:
+ Horizontal filter: Apply an offset of 1 << (bd + F - 1), sum fits into a
+ uint{bd + F + 1}
+ After rounding: The values stored in 'tmp' fit into a uint{bd + F + 1 - H}.
+ Vertical filter: Apply an offset of 1 << (bd + 2*F - H), sum fits into a
+ uint{bd + 2*F + 2 - H}
+ After rounding: The final value, before undoing the offset, fits into a
+ uint{bd + 2}.
+
+ Then we need to undo the offsets before clamping to a pixel. Note that,
+ if we do this at the end, the amount to subtract is actually independent
+ of H and V:
+
+ offset to subtract = (1 << ((bd + F - 1) - H + F - V)) +
+ (1 << ((bd + 2*F - H) - V))
+ == (1 << (bd - 1)) + (1 << bd)
+
+ This allows us to entirely avoid clamping in both the warp filter and
+ the convolve-round experiment. As of the time of writing, the Wiener filter
+ from loop-restoration can encode a central coefficient up to 216, which
+ leads to a maximum value of about 282 * 2^k after applying the offset.
+ So in that case we still need to clamp.
+*/
+void av1_warp_affine_c(const int32_t *mat, const uint8_t *ref, int width,
+ int height, int stride, uint8_t *pred, int p_col,
+ int p_row, int p_width, int p_height, int p_stride,
+ int subsampling_x, int subsampling_y,
+ ConvolveParams *conv_params, int16_t alpha, int16_t beta,
+ int16_t gamma, int16_t delta) {
+ int32_t tmp[15 * 8];
+ const int bd = 8;
+ const int reduce_bits_horiz = conv_params->round_0;
+ const int reduce_bits_vert = conv_params->is_compound
+ ? conv_params->round_1
+ : 2 * FILTER_BITS - reduce_bits_horiz;
+ const int max_bits_horiz = bd + FILTER_BITS + 1 - reduce_bits_horiz;
+ const int offset_bits_horiz = bd + FILTER_BITS - 1;
+ const int offset_bits_vert = bd + 2 * FILTER_BITS - reduce_bits_horiz;
+ const int round_bits =
+ 2 * FILTER_BITS - conv_params->round_0 - conv_params->round_1;
+ const int offset_bits = bd + 2 * FILTER_BITS - conv_params->round_0;
+ (void)max_bits_horiz;
+ assert(IMPLIES(conv_params->is_compound, conv_params->dst != NULL));
+ assert(IMPLIES(conv_params->do_average, conv_params->is_compound));
+
+ for (int i = p_row; i < p_row + p_height; i += 8) {
+ for (int j = p_col; j < p_col + p_width; j += 8) {
+ // Calculate the center of this 8x8 block,
+ // project to luma coordinates (if in a subsampled chroma plane),
+ // apply the affine transformation,
+ // then convert back to the original coordinates (if necessary)
+ const int32_t src_x = (j + 4) << subsampling_x;
+ const int32_t src_y = (i + 4) << subsampling_y;
+ const int32_t dst_x = mat[2] * src_x + mat[3] * src_y + mat[0];
+ const int32_t dst_y = mat[4] * src_x + mat[5] * src_y + mat[1];
+ const int32_t x4 = dst_x >> subsampling_x;
+ const int32_t y4 = dst_y >> subsampling_y;
+
+ int32_t ix4 = x4 >> WARPEDMODEL_PREC_BITS;
+ int32_t sx4 = x4 & ((1 << WARPEDMODEL_PREC_BITS) - 1);
+ int32_t iy4 = y4 >> WARPEDMODEL_PREC_BITS;
+ int32_t sy4 = y4 & ((1 << WARPEDMODEL_PREC_BITS) - 1);
+
+ sx4 += alpha * (-4) + beta * (-4);
+ sy4 += gamma * (-4) + delta * (-4);
+
+ sx4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1);
+ sy4 &= ~((1 << WARP_PARAM_REDUCE_BITS) - 1);
+
+ // Horizontal filter
+ for (int k = -7; k < 8; ++k) {
+ // Clamp to top/bottom edge of the frame
+ const int iy = clamp(iy4 + k, 0, height - 1);
+
+ int sx = sx4 + beta * (k + 4);
+
+ for (int l = -4; l < 4; ++l) {
+ int ix = ix4 + l - 3;
+ // At this point, sx = sx4 + alpha * l + beta * k
+ const int offs = ROUND_POWER_OF_TWO(sx, WARPEDDIFF_PREC_BITS) +
+ WARPEDPIXEL_PREC_SHIFTS;
+ assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3);
+ const int16_t *coeffs = warped_filter[offs];
+
+ int32_t sum = 1 << offset_bits_horiz;
+ for (int m = 0; m < 8; ++m) {
+ // Clamp to left/right edge of the frame
+ const int sample_x = clamp(ix + m, 0, width - 1);
+
+ sum += ref[iy * stride + sample_x] * coeffs[m];
+ }
+ sum = ROUND_POWER_OF_TWO(sum, reduce_bits_horiz);
+ assert(0 <= sum && sum < (1 << max_bits_horiz));
+ tmp[(k + 7) * 8 + (l + 4)] = sum;
+ sx += alpha;
+ }
+ }
+
+ // Vertical filter
+ for (int k = -4; k < AOMMIN(4, p_row + p_height - i - 4); ++k) {
+ int sy = sy4 + delta * (k + 4);
+ for (int l = -4; l < AOMMIN(4, p_col + p_width - j - 4); ++l) {
+ // At this point, sy = sy4 + gamma * l + delta * k
+ const int offs = ROUND_POWER_OF_TWO(sy, WARPEDDIFF_PREC_BITS) +
+ WARPEDPIXEL_PREC_SHIFTS;
+ assert(offs >= 0 && offs <= WARPEDPIXEL_PREC_SHIFTS * 3);
+ const int16_t *coeffs = warped_filter[offs];
+
+ int32_t sum = 1 << offset_bits_vert;
+ for (int m = 0; m < 8; ++m) {
+ sum += tmp[(k + m + 4) * 8 + (l + 4)] * coeffs[m];
+ }
+
+ if (conv_params->is_compound) {
+ CONV_BUF_TYPE *p =
+ &conv_params
+ ->dst[(i - p_row + k + 4) * conv_params->dst_stride +
+ (j - p_col + l + 4)];
+ sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert);
+ if (conv_params->do_average) {
+ uint8_t *dst8 =
+ &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)];
+ int32_t tmp32 = *p;
+ if (conv_params->use_jnt_comp_avg) {
+ tmp32 = tmp32 * conv_params->fwd_offset +
+ sum * conv_params->bck_offset;
+ tmp32 = tmp32 >> DIST_PRECISION_BITS;
+ } else {
+ tmp32 += sum;
+ tmp32 = tmp32 >> 1;
+ }
+ tmp32 = tmp32 - (1 << (offset_bits - conv_params->round_1)) -
+ (1 << (offset_bits - conv_params->round_1 - 1));
+ *dst8 = clip_pixel(ROUND_POWER_OF_TWO(tmp32, round_bits));
+ } else {
+ *p = sum;
+ }
+ } else {
+ uint8_t *p =
+ &pred[(i - p_row + k + 4) * p_stride + (j - p_col + l + 4)];
+ sum = ROUND_POWER_OF_TWO(sum, reduce_bits_vert);
+ assert(0 <= sum && sum < (1 << (bd + 2)));
+ *p = clip_pixel(sum - (1 << (bd - 1)) - (1 << bd));
+ }
+ sy += gamma;
+ }
+ }
+ }
+ }
+}
+
+static void warp_plane(WarpedMotionParams *wm, const uint8_t *const ref,
+ int width, int height, int stride, uint8_t *pred,
+ int p_col, int p_row, int p_width, int p_height,
+ int p_stride, int subsampling_x, int subsampling_y,
+ ConvolveParams *conv_params) {
+ assert(wm->wmtype <= AFFINE);
+ if (wm->wmtype == ROTZOOM) {
+ wm->wmmat[5] = wm->wmmat[2];
+ wm->wmmat[4] = -wm->wmmat[3];
+ }
+ const int32_t *const mat = wm->wmmat;
+ const int16_t alpha = wm->alpha;
+ const int16_t beta = wm->beta;
+ const int16_t gamma = wm->gamma;
+ const int16_t delta = wm->delta;
+ av1_warp_affine(mat, ref, width, height, stride, pred, p_col, p_row, p_width,
+ p_height, p_stride, subsampling_x, subsampling_y, conv_params,
+ alpha, beta, gamma, delta);
+}
+
+static int64_t frame_error(const uint8_t *const ref, int stride,
+ const uint8_t *const dst, int p_width, int p_height,
+ int p_stride) {
+ int64_t sum_error = 0;
+ for (int i = 0; i < p_height; ++i) {
+ for (int j = 0; j < p_width; ++j) {
+ sum_error +=
+ (int64_t)error_measure(dst[j + i * p_stride] - ref[j + i * stride]);
+ }
+ }
+ return sum_error;
+}
+
+static int64_t warp_error(WarpedMotionParams *wm, const uint8_t *const ref,
+ int width, int height, int stride,
+ const uint8_t *const dst, int p_col, int p_row,
+ int p_width, int p_height, int p_stride,
+ int subsampling_x, int subsampling_y,
+ int64_t best_error) {
+ int64_t gm_sumerr = 0;
+ int warp_w, warp_h;
+ int error_bsize_w = AOMMIN(p_width, WARP_ERROR_BLOCK);
+ int error_bsize_h = AOMMIN(p_height, WARP_ERROR_BLOCK);
+ uint8_t tmp[WARP_ERROR_BLOCK * WARP_ERROR_BLOCK];
+ ConvolveParams conv_params = get_conv_params(0, 0, 8);
+ conv_params.use_jnt_comp_avg = 0;
+
+ for (int i = p_row; i < p_row + p_height; i += WARP_ERROR_BLOCK) {
+ for (int j = p_col; j < p_col + p_width; j += WARP_ERROR_BLOCK) {
+ // avoid warping extra 8x8 blocks in the padded region of the frame
+ // when p_width and p_height are not multiples of WARP_ERROR_BLOCK
+ warp_w = AOMMIN(error_bsize_w, p_col + p_width - j);
+ warp_h = AOMMIN(error_bsize_h, p_row + p_height - i);
+ warp_plane(wm, ref, width, height, stride, tmp, j, i, warp_w, warp_h,
+ WARP_ERROR_BLOCK, subsampling_x, subsampling_y, &conv_params);
+
+ gm_sumerr += frame_error(tmp, WARP_ERROR_BLOCK, dst + j + i * p_stride,
+ warp_w, warp_h, p_stride);
+ if (gm_sumerr > best_error) return gm_sumerr;
+ }
+ }
+ return gm_sumerr;
+}
+
+int64_t av1_frame_error(int use_hbd, int bd, const uint8_t *ref, int stride,
+ uint8_t *dst, int p_width, int p_height, int p_stride) {
+ if (use_hbd) {
+ return highbd_frame_error(CONVERT_TO_SHORTPTR(ref), stride,
+ CONVERT_TO_SHORTPTR(dst), p_width, p_height,
+ p_stride, bd);
+ }
+ return frame_error(ref, stride, dst, p_width, p_height, p_stride);
+}
+
+int64_t av1_warp_error(WarpedMotionParams *wm, int use_hbd, int bd,
+ const uint8_t *ref, int width, int height, int stride,
+ uint8_t *dst, int p_col, int p_row, int p_width,
+ int p_height, int p_stride, int subsampling_x,
+ int subsampling_y, int64_t best_error) {
+ if (wm->wmtype <= AFFINE)
+ if (!get_shear_params(wm)) return 1;
+ if (use_hbd)
+ return highbd_warp_error(wm, ref, width, height, stride, dst, p_col, p_row,
+ p_width, p_height, p_stride, subsampling_x,
+ subsampling_y, bd, best_error);
+ return warp_error(wm, ref, width, height, stride, dst, p_col, p_row, p_width,
+ p_height, p_stride, subsampling_x, subsampling_y,
+ best_error);
+}
+
+void av1_warp_plane(WarpedMotionParams *wm, int use_hbd, int bd,
+ const uint8_t *ref, int width, int height, int stride,
+ uint8_t *pred, int p_col, int p_row, int p_width,
+ int p_height, int p_stride, int subsampling_x,
+ int subsampling_y, ConvolveParams *conv_params) {
+ if (use_hbd)
+ highbd_warp_plane(wm, ref, width, height, stride, pred, p_col, p_row,
+ p_width, p_height, p_stride, subsampling_x, subsampling_y,
+ bd, conv_params);
+ else
+ warp_plane(wm, ref, width, height, stride, pred, p_col, p_row, p_width,
+ p_height, p_stride, subsampling_x, subsampling_y, conv_params);
+}
+
+#define LS_MV_MAX 256 // max mv in 1/8-pel
+// Use LS_STEP = 8 so that 2 less bits needed for A, Bx, By.
+#define LS_STEP 8
+
+// Assuming LS_MV_MAX is < MAX_SB_SIZE * 8,
+// the precision needed is:
+// (MAX_SB_SIZE_LOG2 + 3) [for sx * sx magnitude] +
+// (MAX_SB_SIZE_LOG2 + 4) [for sx * dx magnitude] +
+// 1 [for sign] +
+// LEAST_SQUARES_SAMPLES_MAX_BITS
+// [for adding up to LEAST_SQUARES_SAMPLES_MAX samples]
+// The value is 23
+#define LS_MAT_RANGE_BITS \
+ ((MAX_SB_SIZE_LOG2 + 4) * 2 + LEAST_SQUARES_SAMPLES_MAX_BITS)
+
+// Bit-depth reduction from the full-range
+#define LS_MAT_DOWN_BITS 2
+
+// bits range of A, Bx and By after downshifting
+#define LS_MAT_BITS (LS_MAT_RANGE_BITS - LS_MAT_DOWN_BITS)
+#define LS_MAT_MIN (-(1 << (LS_MAT_BITS - 1)))
+#define LS_MAT_MAX ((1 << (LS_MAT_BITS - 1)) - 1)
+
+// By setting LS_STEP = 8, the least 2 bits of every elements in A, Bx, By are
+// 0. So, we can reduce LS_MAT_RANGE_BITS(2) bits here.
+#define LS_SQUARE(a) \
+ (((a) * (a)*4 + (a)*4 * LS_STEP + LS_STEP * LS_STEP * 2) >> \
+ (2 + LS_MAT_DOWN_BITS))
+#define LS_PRODUCT1(a, b) \
+ (((a) * (b)*4 + ((a) + (b)) * 2 * LS_STEP + LS_STEP * LS_STEP) >> \
+ (2 + LS_MAT_DOWN_BITS))
+#define LS_PRODUCT2(a, b) \
+ (((a) * (b)*4 + ((a) + (b)) * 2 * LS_STEP + LS_STEP * LS_STEP * 2) >> \
+ (2 + LS_MAT_DOWN_BITS))
+
+#define USE_LIMITED_PREC_MULT 0
+
+#if USE_LIMITED_PREC_MULT
+
+#define MUL_PREC_BITS 16
+static uint16_t resolve_multiplier_64(uint64_t D, int16_t *shift) {
+ int msb = 0;
+ uint16_t mult = 0;
+ *shift = 0;
+ if (D != 0) {
+ msb = (int16_t)((D >> 32) ? get_msb((unsigned int)(D >> 32)) + 32
+ : get_msb((unsigned int)D));
+ if (msb >= MUL_PREC_BITS) {
+ mult = (uint16_t)ROUND_POWER_OF_TWO_64(D, msb + 1 - MUL_PREC_BITS);
+ *shift = msb + 1 - MUL_PREC_BITS;
+ } else {
+ mult = (uint16_t)D;
+ *shift = 0;
+ }
+ }
+ return mult;
+}
+
+static int32_t get_mult_shift_ndiag(int64_t Px, int16_t iDet, int shift) {
+ int32_t ret;
+ int16_t mshift;
+ uint16_t Mul = resolve_multiplier_64(llabs(Px), &mshift);
+ int32_t v = (int32_t)Mul * (int32_t)iDet * (Px < 0 ? -1 : 1);
+ shift -= mshift;
+ if (shift > 0) {
+ return (int32_t)clamp(ROUND_POWER_OF_TWO_SIGNED(v, shift),
+ -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1,
+ WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1);
+ } else {
+ return (int32_t)clamp(v * (1 << (-shift)),
+ -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1,
+ WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1);
+ }
+ return ret;
+}
+
+static int32_t get_mult_shift_diag(int64_t Px, int16_t iDet, int shift) {
+ int16_t mshift;
+ uint16_t Mul = resolve_multiplier_64(llabs(Px), &mshift);
+ int32_t v = (int32_t)Mul * (int32_t)iDet * (Px < 0 ? -1 : 1);
+ shift -= mshift;
+ if (shift > 0) {
+ return (int32_t)clamp(
+ ROUND_POWER_OF_TWO_SIGNED(v, shift),
+ (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1,
+ (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1);
+ } else {
+ return (int32_t)clamp(
+ v * (1 << (-shift)),
+ (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1,
+ (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1);
+ }
+}
+
+#else
+
+static int32_t get_mult_shift_ndiag(int64_t Px, int16_t iDet, int shift) {
+ int64_t v = Px * (int64_t)iDet;
+ return (int32_t)clamp64(ROUND_POWER_OF_TWO_SIGNED_64(v, shift),
+ -WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1,
+ WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1);
+}
+
+static int32_t get_mult_shift_diag(int64_t Px, int16_t iDet, int shift) {
+ int64_t v = Px * (int64_t)iDet;
+ return (int32_t)clamp64(
+ ROUND_POWER_OF_TWO_SIGNED_64(v, shift),
+ (1 << WARPEDMODEL_PREC_BITS) - WARPEDMODEL_NONDIAGAFFINE_CLAMP + 1,
+ (1 << WARPEDMODEL_PREC_BITS) + WARPEDMODEL_NONDIAGAFFINE_CLAMP - 1);
+}
+#endif // USE_LIMITED_PREC_MULT
+
+static int find_affine_int(int np, const int *pts1, const int *pts2,
+ BLOCK_SIZE bsize, int mvy, int mvx,
+ WarpedMotionParams *wm, int mi_row, int mi_col) {
+ int32_t A[2][2] = { { 0, 0 }, { 0, 0 } };
+ int32_t Bx[2] = { 0, 0 };
+ int32_t By[2] = { 0, 0 };
+ int i;
+
+ const int bw = block_size_wide[bsize];
+ const int bh = block_size_high[bsize];
+ const int rsuy = (AOMMAX(bh, MI_SIZE) / 2 - 1);
+ const int rsux = (AOMMAX(bw, MI_SIZE) / 2 - 1);
+ const int suy = rsuy * 8;
+ const int sux = rsux * 8;
+ const int duy = suy + mvy;
+ const int dux = sux + mvx;
+ const int isuy = (mi_row * MI_SIZE + rsuy);
+ const int isux = (mi_col * MI_SIZE + rsux);
+
+ // Assume the center pixel of the block has exactly the same motion vector
+ // as transmitted for the block. First shift the origin of the source
+ // points to the block center, and the origin of the destination points to
+ // the block center added to the motion vector transmitted.
+ // Let (xi, yi) denote the source points and (xi', yi') denote destination
+ // points after origin shfifting, for i = 0, 1, 2, .... n-1.
+ // Then if P = [x0, y0,
+ // x1, y1
+ // x2, y1,
+ // ....
+ // ]
+ // q = [x0', x1', x2', ... ]'
+ // r = [y0', y1', y2', ... ]'
+ // the least squares problems that need to be solved are:
+ // [h1, h2]' = inv(P'P)P'q and
+ // [h3, h4]' = inv(P'P)P'r
+ // where the affine transformation is given by:
+ // x' = h1.x + h2.y
+ // y' = h3.x + h4.y
+ //
+ // The loop below computes: A = P'P, Bx = P'q, By = P'r
+ // We need to just compute inv(A).Bx and inv(A).By for the solutions.
+ // Contribution from neighbor block
+ for (i = 0; i < np; i++) {
+ const int dx = pts2[i * 2] - dux;
+ const int dy = pts2[i * 2 + 1] - duy;
+ const int sx = pts1[i * 2] - sux;
+ const int sy = pts1[i * 2 + 1] - suy;
+ // (TODO)yunqing: This comparison wouldn't be necessary if the sample
+ // selection is done in find_samples(). Also, global offset can be removed
+ // while collecting samples.
+ if (abs(sx - dx) < LS_MV_MAX && abs(sy - dy) < LS_MV_MAX) {
+ A[0][0] += LS_SQUARE(sx);
+ A[0][1] += LS_PRODUCT1(sx, sy);
+ A[1][1] += LS_SQUARE(sy);
+ Bx[0] += LS_PRODUCT2(sx, dx);
+ Bx[1] += LS_PRODUCT1(sy, dx);
+ By[0] += LS_PRODUCT1(sx, dy);
+ By[1] += LS_PRODUCT2(sy, dy);
+ }
+ }
+
+ // Just for debugging, and can be removed later.
+ assert(A[0][0] >= LS_MAT_MIN && A[0][0] <= LS_MAT_MAX);
+ assert(A[0][1] >= LS_MAT_MIN && A[0][1] <= LS_MAT_MAX);
+ assert(A[1][1] >= LS_MAT_MIN && A[1][1] <= LS_MAT_MAX);
+ assert(Bx[0] >= LS_MAT_MIN && Bx[0] <= LS_MAT_MAX);
+ assert(Bx[1] >= LS_MAT_MIN && Bx[1] <= LS_MAT_MAX);
+ assert(By[0] >= LS_MAT_MIN && By[0] <= LS_MAT_MAX);
+ assert(By[1] >= LS_MAT_MIN && By[1] <= LS_MAT_MAX);
+
+ int64_t Det;
+ int16_t iDet, shift;
+
+ // Compute Determinant of A
+ Det = (int64_t)A[0][0] * A[1][1] - (int64_t)A[0][1] * A[0][1];
+ if (Det == 0) return 1;
+ iDet = resolve_divisor_64(llabs(Det), &shift) * (Det < 0 ? -1 : 1);
+ shift -= WARPEDMODEL_PREC_BITS;
+ if (shift < 0) {
+ iDet <<= (-shift);
+ shift = 0;
+ }
+
+ int64_t Px[2], Py[2];
+
+ // These divided by the Det, are the least squares solutions
+ Px[0] = (int64_t)A[1][1] * Bx[0] - (int64_t)A[0][1] * Bx[1];
+ Px[1] = -(int64_t)A[0][1] * Bx[0] + (int64_t)A[0][0] * Bx[1];
+ Py[0] = (int64_t)A[1][1] * By[0] - (int64_t)A[0][1] * By[1];
+ Py[1] = -(int64_t)A[0][1] * By[0] + (int64_t)A[0][0] * By[1];
+
+ wm->wmmat[2] = get_mult_shift_diag(Px[0], iDet, shift);
+ wm->wmmat[3] = get_mult_shift_ndiag(Px[1], iDet, shift);
+ wm->wmmat[4] = get_mult_shift_ndiag(Py[0], iDet, shift);
+ wm->wmmat[5] = get_mult_shift_diag(Py[1], iDet, shift);
+
+ // Note: In the vx, vy expressions below, the max value of each of the
+ // 2nd and 3rd terms are (2^16 - 1) * (2^13 - 1). That leaves enough room
+ // for the first term so that the overall sum in the worst case fits
+ // within 32 bits overall.
+ int32_t vx = mvx * (1 << (WARPEDMODEL_PREC_BITS - 3)) -
+ (isux * (wm->wmmat[2] - (1 << WARPEDMODEL_PREC_BITS)) +
+ isuy * wm->wmmat[3]);
+ int32_t vy = mvy * (1 << (WARPEDMODEL_PREC_BITS - 3)) -
+ (isux * wm->wmmat[4] +
+ isuy * (wm->wmmat[5] - (1 << WARPEDMODEL_PREC_BITS)));
+ wm->wmmat[0] =
+ clamp(vx, -WARPEDMODEL_TRANS_CLAMP, WARPEDMODEL_TRANS_CLAMP - 1);
+ wm->wmmat[1] =
+ clamp(vy, -WARPEDMODEL_TRANS_CLAMP, WARPEDMODEL_TRANS_CLAMP - 1);
+
+ wm->wmmat[6] = wm->wmmat[7] = 0;
+ return 0;
+}
+
+int find_projection(int np, int *pts1, int *pts2, BLOCK_SIZE bsize, int mvy,
+ int mvx, WarpedMotionParams *wm_params, int mi_row,
+ int mi_col) {
+ assert(wm_params->wmtype == AFFINE);
+
+ if (find_affine_int(np, pts1, pts2, bsize, mvy, mvx, wm_params, mi_row,
+ mi_col))
+ return 1;
+
+ // check compatibility with the fast warp filter
+ if (!get_shear_params(wm_params)) return 1;
+
+ return 0;
+}
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-07 18:17:08 +0000