dany/libwebp
1
0
Fork 0
mirror of https://github.com/webmproject/libwebp.git synced 2025-10-31 10:25:46 +01:00
Code Issues Actions Packages Projects Releases Wiki Activity

quiet a few 'uninitialized' warnings

Browse Source 
spurious in this case, but addresses e.g.,
... potentially uninitialized local variable 'weighted_average' used

Change-Id: Ib99998bf49e4af7a82ee66f13fb850ca5b17dc71
This commit is contained in:
James Zern
2012-08-02 14:03:30 -07:00
parent 4af3f6c4d3
commit 292ec5cc7d
3 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
examples/cwebp.c
View File

@@ -132,7 +132,7 @@ static HRESULT ReadPictureWithWIC(const char* filename,
IWICBitmapDecoder* pDecoder = NULL; IWICBitmapDecoder* pDecoder = NULL;
IStream* pStream = NULL; IStream* pStream = NULL;
UINT frameCount = 0; UINT frameCount = 0;
UINT width, height = 0; UINT width = 0, height = 0;
BYTE* rgb = NULL; BYTE* rgb = NULL;
WICPixelFormatGUID srcPixelFormat = { 0 }; WICPixelFormatGUID srcPixelFormat = { 0 };
GUID srcContainerFormat = { 0 }; GUID srcContainerFormat = { 0 };

2
src/enc/alpha.c
View File

@@ -234,7 +234,7 @@ static int EncodeAlpha(VP8Encoder* const enc,
// Try the other mode(s). // Try the other mode(s).
{ {
WebPAuxStats best_stats; WebPAuxStats best_stats = { 0 };
size_t best_score = VP8BitWriterSize(&bw); size_t best_score = VP8BitWriterSize(&bw);
if (pic->stats != NULL) best_stats = *pic->stats; if (pic->stats != NULL) best_stats = *pic->stats;
for (test_filter = WEBP_FILTER_HORIZONTAL; for (test_filter = WEBP_FILTER_HORIZONTAL;

2
src/enc/analysis.c
View File

@@ -147,7 +147,7 @@ static void SetSegmentAlphas(VP8Encoder* const enc,
static void AssignSegments(VP8Encoder* const enc, const int alphas[256]) { static void AssignSegments(VP8Encoder* const enc, const int alphas[256]) {
const int nb = enc->segment_hdr_.num_segments_; const int nb = enc->segment_hdr_.num_segments_;
int centers[NUM_MB_SEGMENTS]; int centers[NUM_MB_SEGMENTS];
int weighted_average; int weighted_average = 0;
int map[256]; int map[256];
int a, n, k; int a, n, k;
int min_a = 0, max_a = 255, range_a; int min_a = 0, max_a = 255, range_a;