@@ -336,7 +336,7 @@ void Af::afIgnoreFrameReset()
*
* \return The variance of the values in the data set \a y_item selected by \a isY1
*/
-double Af::afEstimateVariance(y_table_item_t *y_item, uint32_t len,
+double Af::afEstimateVariance(const y_table_item_t *y_item, uint32_t len,
bool isY1)
{
uint32_t z = 0;
@@ -406,25 +406,21 @@ bool Af::afIsOutOfFocus(IPAContext context)
*/
void Af::process(IPAContext &context, const ipu3_uapi_stats_3a *stats)
{
- y_table_item_t y_item[IPU3_UAPI_AF_Y_TABLE_MAX_SIZE / sizeof(y_table_item_t)];
+ const y_table_item_t *y_item = reinterpret_cast<const y_table_item_t *>(&stats->af_raw_buffer.y_table);
uint32_t afRawBufferLen;
/* Evaluate the AF buffer length */
afRawBufferLen = context.configuration.af.afGrid.width *
context.configuration.af.afGrid.height;
- memcpy(y_item, stats->af_raw_buffer.y_table,
- afRawBufferLen * sizeof(y_table_item_t));
+ ASSERT(afRawBufferLen < IPU3_UAPI_AF_Y_TABLE_MAX_SIZE);
/*
* Calculate the mean and the variance of AF statistics for a given grid.
* For coarse: y1 are used.
* For fine: y2 results are used.
*/
- if (coarseCompleted_)
- currentVariance_ = afEstimateVariance(y_item, afRawBufferLen, false);
- else
- currentVariance_ = afEstimateVariance(y_item, afRawBufferLen, true);
+ currentVariance_ = afEstimateVariance(y_item, afRawBufferLen, !coarseCompleted_);
if (!context.frameContext.af.stable) {
afCoarseScan(context);
@@ -41,7 +41,7 @@ private:
void afReset(IPAContext &context);
bool afNeedIgnoreFrame();
void afIgnoreFrameReset();
- double afEstimateVariance(y_table_item_t *y_item, uint32_t len,
+ double afEstimateVariance(const y_table_item_t *y_item, uint32_t len,
bool isY1);
bool afIsOutOfFocus(IPAContext context);