From ec910d81405c736a4490383a250299a7837c2e64 Mon Sep 17 00:00:00 2001 From: trav90 Date: Thu, 18 Oct 2018 21:53:44 -0500 Subject: Update aom to commit id e87fb2378f01103d5d6e477a4ef6892dc714e614 --- third_party/aom/av1/encoder/palette.c | 118 +++------------------------------- 1 file changed, 8 insertions(+), 110 deletions(-) (limited to 'third_party/aom/av1/encoder/palette.c') diff --git a/third_party/aom/av1/encoder/palette.c b/third_party/aom/av1/encoder/palette.c index bac06cd17..f34b82544 100644 --- a/third_party/aom/av1/encoder/palette.c +++ b/third_party/aom/av1/encoder/palette.c @@ -14,116 +14,14 @@ #include "av1/encoder/cost.h" #include "av1/encoder/palette.h" - -static float calc_dist(const float *p1, const float *p2, int dim) { - float dist = 0; - int i; - for (i = 0; i < dim; ++i) { - const float diff = p1[i] - p2[i]; - dist += diff * diff; - } - return dist; -} - -void av1_calc_indices(const float *data, const float *centroids, - uint8_t *indices, int n, int k, int dim) { - int i, j; - for (i = 0; i < n; ++i) { - float min_dist = calc_dist(data + i * dim, centroids, dim); - indices[i] = 0; - for (j = 1; j < k; ++j) { - const float this_dist = - calc_dist(data + i * dim, centroids + j * dim, dim); - if (this_dist < min_dist) { - min_dist = this_dist; - indices[i] = j; - } - } - } -} - -// Generate a random number in the range [0, 32768). -static unsigned int lcg_rand16(unsigned int *state) { - *state = (unsigned int)(*state * 1103515245ULL + 12345); - return *state / 65536 % 32768; -} - -static void calc_centroids(const float *data, float *centroids, - const uint8_t *indices, int n, int k, int dim) { - int i, j, index; - int count[PALETTE_MAX_SIZE]; - unsigned int rand_state = (unsigned int)data[0]; - - assert(n <= 32768); - - memset(count, 0, sizeof(count[0]) * k); - memset(centroids, 0, sizeof(centroids[0]) * k * dim); - - for (i = 0; i < n; ++i) { - index = indices[i]; - assert(index < k); - ++count[index]; - for (j = 0; j < dim; ++j) { - centroids[index * dim + j] += data[i * dim + j]; - } - } - - for (i = 0; i < k; ++i) { - if (count[i] == 0) { - memcpy(centroids + i * dim, data + (lcg_rand16(&rand_state) % n) * dim, - sizeof(centroids[0]) * dim); - } else { - const float norm = 1.0f / count[i]; - for (j = 0; j < dim; ++j) centroids[i * dim + j] *= norm; - } - } - - // Round to nearest integers. - for (i = 0; i < k * dim; ++i) { - centroids[i] = roundf(centroids[i]); - } -} - -static float calc_total_dist(const float *data, const float *centroids, - const uint8_t *indices, int n, int k, int dim) { - float dist = 0; - int i; - (void)k; - - for (i = 0; i < n; ++i) - dist += calc_dist(data + i * dim, centroids + indices[i] * dim, dim); - - return dist; -} - -void av1_k_means(const float *data, float *centroids, uint8_t *indices, int n, - int k, int dim, int max_itr) { - int i; - float this_dist; - float pre_centroids[2 * PALETTE_MAX_SIZE]; - uint8_t pre_indices[MAX_SB_SQUARE]; - - av1_calc_indices(data, centroids, indices, n, k, dim); - this_dist = calc_total_dist(data, centroids, indices, n, k, dim); - - for (i = 0; i < max_itr; ++i) { - const float pre_dist = this_dist; - memcpy(pre_centroids, centroids, sizeof(pre_centroids[0]) * k * dim); - memcpy(pre_indices, indices, sizeof(pre_indices[0]) * n); - - calc_centroids(data, centroids, indices, n, k, dim); - av1_calc_indices(data, centroids, indices, n, k, dim); - this_dist = calc_total_dist(data, centroids, indices, n, k, dim); - - if (this_dist > pre_dist) { - memcpy(centroids, pre_centroids, sizeof(pre_centroids[0]) * k * dim); - memcpy(indices, pre_indices, sizeof(pre_indices[0]) * n); - break; - } - if (!memcmp(centroids, pre_centroids, sizeof(pre_centroids[0]) * k * dim)) - break; - } -} +#include "av1/encoder/random.h" + +#define AV1_K_MEANS_DIM 1 +#include "av1/encoder/k_means_template.h" +#undef AV1_K_MEANS_DIM +#define AV1_K_MEANS_DIM 2 +#include "av1/encoder/k_means_template.h" +#undef AV1_K_MEANS_DIM static int float_comparer(const void *a, const void *b) { const float fa = *(const float *)a; -- cgit v1.2.3