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-rw-r--r--vp9/encoder/vp9_encodeframe.c39
1 files changed, 18 insertions, 21 deletions
diff --git a/vp9/encoder/vp9_encodeframe.c b/vp9/encoder/vp9_encodeframe.c
index 933cd3cb4..d6adce2f6 100644
--- a/vp9/encoder/vp9_encodeframe.c
+++ b/vp9/encoder/vp9_encodeframe.c
@@ -5788,13 +5788,11 @@ int vp9_get_group_idx(double value, double *boundary_ls, int k) {
void vp9_kmeans(double *ctr_ls, double *boundary_ls, int *count_ls, int k,
KMEANS_DATA *arr, int size) {
- double min, max;
- double step;
int i, j;
int itr;
int group_idx;
- double sum;
- int count;
+ double sum[MAX_KMEANS_GROUPS];
+ int count[MAX_KMEANS_GROUPS];
vpx_clear_system_state();
@@ -5802,38 +5800,37 @@ void vp9_kmeans(double *ctr_ls, double *boundary_ls, int *count_ls, int k,
qsort(arr, size, sizeof(*arr), compare_kmeans_data);
- min = arr[0].value;
- max = arr[size - 1].value;
-
// initialize the center points
- step = (max - min) * 1. / k;
for (j = 0; j < k; ++j) {
- ctr_ls[j] = min + j * step + step / 2;
+ ctr_ls[j] = arr[(size * j) / k].value;
}
for (itr = 0; itr < 10; ++itr) {
compute_boundary_ls(ctr_ls, k, boundary_ls);
- group_idx = 0;
- count = 0;
- sum = 0;
+ for (i = 0; i < MAX_KMEANS_GROUPS; ++i) {
+ sum[i] = 0;
+ count[i] = 0;
+ }
+
for (i = 0; i < size; ++i) {
+ // place samples into clusters
+ group_idx = 0;
while (arr[i].value >= boundary_ls[group_idx]) {
++group_idx;
if (group_idx == k - 1) {
break;
}
}
+ sum[group_idx] += arr[i].value;
+ ++count[group_idx];
+ }
- sum += arr[i].value;
- ++count;
+ for (group_idx = 0; group_idx < k; ++group_idx) {
+ if (count[group_idx] > 0)
+ ctr_ls[group_idx] = sum[group_idx] / count[group_idx];
- if (i + 1 == size || arr[i + 1].value >= boundary_ls[group_idx]) {
- if (count > 0) {
- ctr_ls[group_idx] = sum / count;
- }
- count = 0;
- sum = 0;
- }
+ sum[group_idx] = 0;
+ count[group_idx] = 0;
}
}