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Update aom to commit id e87fb2378f01103d5d6e477a4ef6892dc714e614

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trav90 2018-10-18 21:53:44 -05:00 • committed by Roy Tam
commit 992c6637e3
429 changed files with 76047 additions and 40937 deletions
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40
third_party/aom/av1/encoder/palette.h vendored
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@ -18,17 +18,49 @@
extern "C" {
#endif
#define AV1_K_MEANS_RENAME(func, dim) func##_dim##dim
void AV1_K_MEANS_RENAME(av1_calc_indices, 1)(const float *data,
const float *centroids,
uint8_t *indices, int n, int k);
void AV1_K_MEANS_RENAME(av1_calc_indices, 2)(const float *data,
const float *centroids,
uint8_t *indices, int n, int k);
void AV1_K_MEANS_RENAME(av1_k_means, 1)(const float *data, float *centroids,
uint8_t *indices, int n, int k,
int max_itr);
void AV1_K_MEANS_RENAME(av1_k_means, 2)(const float *data, float *centroids,
uint8_t *indices, int n, int k,
int max_itr);
// Given 'n' 'data' points and 'k' 'centroids' each of dimension 'dim',
// calculate the centroid 'indices' for the data points.
void av1_calc_indices(const float *data, const float *centroids,
uint8_t *indices, int n, int k, int dim);
static INLINE void av1_calc_indices(const float *data, const float *centroids,
uint8_t *indices, int n, int k, int dim) {
if (dim == 1) {
AV1_K_MEANS_RENAME(av1_calc_indices, 1)(data, centroids, indices, n, k);
} else if (dim == 2) {
AV1_K_MEANS_RENAME(av1_calc_indices, 2)(data, centroids, indices, n, k);
} else {
assert(0 && "Untemplated k means dimension");
}
}
// Given 'n' 'data' points and an initial guess of 'k' 'centroids' each of
// dimension 'dim', runs up to 'max_itr' iterations of k-means algorithm to get
// updated 'centroids' and the centroid 'indices' for elements in 'data'.
// Note: the output centroids are rounded off to nearest integers.
void av1_k_means(const float *data, float *centroids, uint8_t *indices, int n,
int k, int dim, int max_itr);
static INLINE void av1_k_means(const float *data, float *centroids,
uint8_t *indices, int n, int k, int dim,
int max_itr) {
if (dim == 1) {
AV1_K_MEANS_RENAME(av1_k_means, 1)(data, centroids, indices, n, k, max_itr);
} else if (dim == 2) {
AV1_K_MEANS_RENAME(av1_k_means, 2)(data, centroids, indices, n, k, max_itr);
} else {
assert(0 && "Untemplated k means dimension");
}
}
// Given a list of centroids, returns the unique number of centroids 'k', and
// puts these unique centroids in first 'k' indices of 'centroids' array.