Alien-FreeImage
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src/Source/LibWebP/src/enc/enc.analysis.c view on Meta::CPAN
static void MBAnalyze(VP8EncIterator* const it,
int alphas[MAX_ALPHA + 1],
int* const alpha, int* const uv_alpha) {
const VP8Encoder* const enc = it->enc_;
int best_alpha, best_uv_alpha;
VP8SetIntra16Mode(it, 0); // default: Intra16, DC_PRED
VP8SetSkip(it, 0); // not skipped
VP8SetSegment(it, 0); // default segment, spec-wise.
best_alpha = MBAnalyzeBestIntra16Mode(it);
if (enc->method_ >= 5) {
// We go and make a fast decision for intra4/intra16.
// It's usually not a good and definitive pick, but helps seeding the stats
// about level bit-cost.
// TODO(skal): improve criterion.
best_alpha = MBAnalyzeBestIntra4Mode(it, best_alpha);
}
best_uv_alpha = MBAnalyzeBestUVMode(it);
// Final susceptibility mix
best_alpha = (3 * best_alpha + best_uv_alpha + 2) >> 2;
best_alpha = FinalAlphaValue(best_alpha);
alphas[best_alpha]++;
it->mb_->alpha_ = best_alpha; // for later remapping.
// Accumulate for later complexity analysis.
*alpha += best_alpha; // mixed susceptibility (not just luma)
*uv_alpha += best_uv_alpha;
}
static void DefaultMBInfo(VP8MBInfo* const mb) {
mb->type_ = 1; // I16x16
mb->uv_mode_ = 0;
mb->skip_ = 0; // not skipped
mb->segment_ = 0; // default segment
mb->alpha_ = 0;
}
//------------------------------------------------------------------------------
// Main analysis loop:
// Collect all susceptibilities for each macroblock and record their
// distribution in alphas[]. Segments is assigned a-posteriori, based on
// this histogram.
// We also pick an intra16 prediction mode, which shouldn't be considered
// final except for fast-encode settings. We can also pick some intra4 modes
// and decide intra4/intra16, but that's usually almost always a bad choice at
// this stage.
static void ResetAllMBInfo(VP8Encoder* const enc) {
int n;
for (n = 0; n < enc->mb_w_ * enc->mb_h_; ++n) {
DefaultMBInfo(&enc->mb_info_[n]);
}
// Default susceptibilities.
enc->dqm_[0].alpha_ = 0;
enc->dqm_[0].beta_ = 0;
// Note: we can't compute this alpha_ / uv_alpha_ -> set to default value.
enc->alpha_ = 0;
enc->uv_alpha_ = 0;
WebPReportProgress(enc->pic_, enc->percent_ + 20, &enc->percent_);
}
// struct used to collect job result
typedef struct {
WebPWorker worker;
int alphas[MAX_ALPHA + 1];
int alpha, uv_alpha;
VP8EncIterator it;
int delta_progress;
} SegmentJob;
// main work call
static int DoSegmentsJob(SegmentJob* const job, VP8EncIterator* const it) {
int ok = 1;
if (!VP8IteratorIsDone(it)) {
uint8_t tmp[32 + ALIGN_CST];
uint8_t* const scratch = (uint8_t*)DO_ALIGN(tmp);
do {
// Let's pretend we have perfect lossless reconstruction.
VP8IteratorImport(it, scratch);
MBAnalyze(it, job->alphas, &job->alpha, &job->uv_alpha);
ok = VP8IteratorProgress(it, job->delta_progress);
} while (ok && VP8IteratorNext(it));
}
return ok;
}
static void MergeJobs(const SegmentJob* const src, SegmentJob* const dst) {
int i;
for (i = 0; i <= MAX_ALPHA; ++i) dst->alphas[i] += src->alphas[i];
dst->alpha += src->alpha;
dst->uv_alpha += src->uv_alpha;
}
// initialize the job struct with some TODOs
static void InitSegmentJob(VP8Encoder* const enc, SegmentJob* const job,
int start_row, int end_row) {
WebPGetWorkerInterface()->Init(&job->worker);
job->worker.data1 = job;
job->worker.data2 = &job->it;
job->worker.hook = (WebPWorkerHook)DoSegmentsJob;
VP8IteratorInit(enc, &job->it);
VP8IteratorSetRow(&job->it, start_row);
VP8IteratorSetCountDown(&job->it, (end_row - start_row) * enc->mb_w_);
memset(job->alphas, 0, sizeof(job->alphas));
job->alpha = 0;
job->uv_alpha = 0;
// only one of both jobs can record the progress, since we don't
// expect the user's hook to be multi-thread safe
job->delta_progress = (start_row == 0) ? 20 : 0;
}
// main entry point
int VP8EncAnalyze(VP8Encoder* const enc) {
int ok = 1;
const int do_segments =
enc->config_->emulate_jpeg_size || // We need the complexity evaluation.
(enc->segment_hdr_.num_segments_ > 1) ||
(enc->method_ == 0); // for method 0, we need preds_[] to be filled.
if (do_segments) {
( run in 0.748 second using v1.01-cache-2.11-cpan-adec679a428 )