backport from 4.00: use ".empty()" instead of ".size() > 0"

This commit is contained in:
Zdenko Podobn?? 2016-11-30 10:27:02 +01:00 committed by Zdenko Podobný
parent 5882261969
commit ed0c60bc65
6 changed files with 13 additions and 13 deletions

View File

@ -2762,7 +2762,7 @@ void TessBaseAPI::GetFeaturesForBlob(TBLOB* blob,
INT_FX_RESULT_STRUCT fx_info;
tesseract_->ExtractFeatures(*blob, false, &bl_features,
&cn_features, &fx_info, &outline_counts);
if (cn_features.size() == 0 || cn_features.size() > MAX_NUM_INT_FEATURES) {
if (cn_features.empty() || cn_features.size() > MAX_NUM_INT_FEATURES) {
*num_features = 0;
return; // Feature extraction failed.
}

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@ -536,7 +536,7 @@ void Tesseract::bigram_correction_pass(PAGE_RES *page_res) {
}
}
}
if (overrides_word1.size() >= 1) {
if (!overrides_word1.empty()) {
// Excellent, we have some bigram matches.
if (EqualIgnoringCaseAndTerminalPunct(*w_prev->best_choice,
*overrides_word1[best_idx]) &&

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@ -2052,7 +2052,7 @@ void ConvertHypothesizedModelRunsToParagraphs(
bool single_line_paragraph = false;
SetOfModels models;
rows[start].NonNullHypotheses(&models);
if (models.size() > 0) {
if (!models.empty()) {
model = models[0];
if (rows[start].GetLineType(model) != LT_BODY)
single_line_paragraph = true;
@ -2190,17 +2190,17 @@ void LeftoverSegments(const GenericVector<RowScratchRegisters> &rows,
SetOfModels models_w_crowns;
rows[i].StrongHypotheses(&models);
rows[i].NonNullHypotheses(&models_w_crowns);
if (models.empty() && models_w_crowns.size() > 0) {
if (models.empty() && !models_w_crowns.empty()) {
// Crown paragraph. Is it followed by a modeled line?
for (int end = i + 1; end < rows.size(); end++) {
SetOfModels end_models;
SetOfModels strong_end_models;
rows[end].NonNullHypotheses(&end_models);
rows[end].StrongHypotheses(&strong_end_models);
if (end_models.size() == 0) {
if (end_models.empty()) {
needs_fixing = true;
break;
} else if (strong_end_models.size() > 0) {
} else if (!strong_end_models.empty()) {
needs_fixing = false;
break;
}
@ -2485,7 +2485,7 @@ void InitializeRowInfo(bool after_recognition,
info->ltr = ltr >= rtl;
info->has_leaders = num_leaders > 3;
info->num_words = werds.size();
if (werds.size() > 0) {
if (!werds.empty()) {
WERD_RES *lword = werds[0], *rword = werds[werds.size() - 1];
info->lword_text = lword->best_choice->unichar_string().string();
info->rword_text = rword->best_choice->unichar_string().string();
@ -2538,7 +2538,7 @@ void DetectParagraphs(int debug_level,
// If we're called before text recognition, we might not have
// tight block bounding boxes, so trim by the minimum on each side.
if (row_infos.size() > 0) {
if (!row_infos.empty()) {
int min_lmargin = row_infos[0].pix_ldistance;
int min_rmargin = row_infos[0].pix_rdistance;
for (int i = 1; i < row_infos.size(); i++) {

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@ -520,7 +520,7 @@ bool ExtractIntFeat(const TBLOB& blob,
tesseract::Classify::ExtractFeatures(blob, nonlinear_norm,
&bl_features, &cn_features, results,
NULL);
if (bl_features.size() == 0 || cn_features.size() == 0 ||
if (bl_features.empty() || cn_features.empty() ||
bl_features.size() > MAX_NUM_INT_FEATURES ||
cn_features.size() > MAX_NUM_INT_FEATURES) {
return false; // Feature extraction failed.

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@ -176,7 +176,7 @@ void ShapeClassifier::UnicharPrintResults(
for (int i = 0; i < results.size(); ++i) {
tprintf("%g: c_id=%d=%s", results[i].rating, results[i].unichar_id,
GetUnicharset().id_to_unichar(results[i].unichar_id));
if (results[i].fonts.size() != 0) {
if (!results[i].fonts.empty()) {
tprintf(" Font Vector:");
for (int f = 0; f < results[i].fonts.size(); ++f) {
tprintf(" %d", results[i].fonts[f].fontinfo_id);

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@ -1376,7 +1376,7 @@ void ColPartitionGrid::FindMergeCandidates(const ColPartition* part,
// combined box to see if anything else is inappropriately overlapped.
if (!part_box.contains(c_box) && !c_box.contains(part_box)) {
// Search the combined rectangle to see if anything new is overlapped.
// This is a preliminary test designed to quickly weed-out stupid
// This is a preliminary test designed to quickly weed-out poor
// merge candidates that would create a big list of overlapped objects
// for the squared-order overlap analysis. Eg. vertical and horizontal
// line-like objects that overlap real text when merged:
@ -1619,10 +1619,10 @@ BlobRegionType ColPartitionGrid::SmoothInOneDirection(
image_bias - htext_score >= kSmoothDecisionMargin &&
image_bias - vtext_score >= kSmoothDecisionMargin) {
*best_distance = dists[NPT_IMAGE][0];
if (dists[NPT_WEAK_VTEXT].size() > 0 &&
if (!dists[NPT_WEAK_VTEXT].empty() &&
*best_distance > dists[NPT_WEAK_VTEXT][0])
*best_distance = dists[NPT_WEAK_VTEXT][0];
if (dists[NPT_WEAK_HTEXT].size() > 0 &&
if (!dists[NPT_WEAK_HTEXT].empty() &&
*best_distance > dists[NPT_WEAK_HTEXT][0])
*best_distance = dists[NPT_WEAK_HTEXT][0];
return BRT_POLYIMAGE;