avfilter/vf_identity: fix typo

[ffmpeg] / libavfilter / vf_nnedi.c

diff --git a/libavfilter/vf_nnedi.c b/libavfilter/vf_nnedi.c
index 1462ce1042d6a62fa11e825f83e852c67eb0afb5..6096e88812b900cd7a27093ed23024f80690b040 100644 (file)
--- a/libavfilter/vf_nnedi.c
+++ b/libavfilter/vf_nnedi.c
@@ -637,7 +637,7 @@ static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
                 width, 1, in_scale);
 
         for (int y = 0; y < slice_end - slice_start; y += 2) {
-            if (s->prescreen > 0)
+            if (s->pscrn > 0)
                 s->prescreen[s->pscrn > 1](ctx, srcbuf + (y / 2) * srcbuf_stride + 32,
                              srcbuf_stride, prescreen_buf, width,
                              &s->prescreener[s->pscrn - 1]);
@@ -649,7 +649,7 @@ static int filter_slice(AVFilterContext *ctx, void *arg, int jobnr, int nb_jobs)
                       prescreen_buf, width,
                       &s->coeffs[s->etype][s->nnsparam][s->nsize], s->qual == 2);
 
-            if (s->prescreen > 0)
+            if (s->pscrn > 0)
                 interpolation(srcbuf + (y / 2) * srcbuf_stride + 32,
                               srcbuf_stride,
                               dstbuf + (y / 2) * dstbuf_stride,
@@ -903,7 +903,7 @@ static void subtract_mean_predictor(PredictorCoefficients *model)
 
     double softmax_means[256]; // Average of individual softmax filters.
     double elliott_means[256]; // Average of individual elliott filters.
-    double mean_filter[48 * 6]; // Pointwise average of all softmax filters.
+    double mean_filter[48 * 6] = { 0 }; // Pointwise average of all softmax filters.
     double mean_bias;
 
     // Quality 1.
@@ -1158,7 +1158,7 @@ static const AVFilterPad outputs[] = {
     { NULL }
 };
 
-AVFilter ff_vf_nnedi = {
+const AVFilter ff_vf_nnedi = {
     .name          = "nnedi",
     .description   = NULL_IF_CONFIG_SMALL("Apply neural network edge directed interpolation intra-only deinterlacer."),
     .priv_size     = sizeof(NNEDIContext),