mirror of
https://github.com/tesseract-ocr/tesseract.git
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587 lines
22 KiB
C++
587 lines
22 KiB
C++
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#include <allheaders.h>
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#include <tesseract/baseapi.h>
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#include <tesseract/resultiterator.h>
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#include <string>
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#include "scrollview.h"
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#include "include_gunit.h"
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#include "log.h" // for LOG
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namespace tesseract {
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// DEFINE_string(tess_config, "", "config file for tesseract");
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// DEFINE_bool(visual_test, false, "Runs a visual test using scrollview");
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// The fixture for testing Tesseract.
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class ResultIteratorTest : public testing::Test {
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protected:
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std::string TestDataNameToPath(const std::string &name) {
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return file::JoinPath(TESTING_DIR, name);
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}
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std::string TessdataPath() {
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return file::JoinPath(TESSDATA_DIR, "");
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}
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std::string OutputNameToPath(const std::string &name) {
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file::MakeTmpdir();
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return file::JoinPath(FLAGS_test_tmpdir, name);
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}
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ResultIteratorTest() {
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src_pix_ = nullptr;
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}
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~ResultIteratorTest() override = default;
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void SetImage(const char *filename) {
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src_pix_ = pixRead(TestDataNameToPath(filename).c_str());
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api_.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY);
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// if (!FLAGS_tess_config.empty())
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// api_.ReadConfigFile(FLAGS_tess_config.c_str());
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api_.SetPageSegMode(tesseract::PSM_AUTO);
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api_.SetImage(src_pix_);
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src_pix_.destroy();
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src_pix_ = api_.GetInputImage();
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}
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// Rebuilds the image using the binary images at the given level, and
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// EXPECTs that the number of pixels in the xor of the rebuilt image with
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// the original is at most max_diff.
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void VerifyRebuild(int max_diff, PageIteratorLevel level, PageIterator *it) {
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it->Begin();
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int width = pixGetWidth(src_pix_);
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int height = pixGetHeight(src_pix_);
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int depth = pixGetDepth(src_pix_);
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Image pix = pixCreate(width, height, depth);
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EXPECT_TRUE(depth == 1 || depth == 8);
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if (depth == 8) {
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pixSetAll(pix);
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}
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do {
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int left, top, right, bottom;
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PageIteratorLevel im_level = level;
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// If the return is false, it is a non-text block so get the block image.
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if (!it->BoundingBox(level, &left, &top, &right, &bottom)) {
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im_level = tesseract::RIL_BLOCK;
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EXPECT_TRUE(it->BoundingBox(im_level, &left, &top, &right, &bottom));
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}
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LOG(INFO) << "BBox: [L:" << left << ", T:" << top << ", R:" << right << ", B:" << bottom
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<< "]"
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<< "\n";
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Image block_pix;
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if (depth == 1) {
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block_pix = it->GetBinaryImage(im_level);
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pixRasterop(pix, left, top, right - left, bottom - top, PIX_SRC ^ PIX_DST, block_pix, 0, 0);
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} else {
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block_pix = it->GetImage(im_level, 2, src_pix_, &left, &top);
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pixRasterop(pix, left, top, pixGetWidth(block_pix), pixGetHeight(block_pix),
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PIX_SRC & PIX_DST, block_pix, 0, 0);
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}
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CHECK(block_pix != nullptr);
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block_pix.destroy();
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} while (it->Next(level));
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// if (base::GetFlag(FLAGS_v) >= 1)
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// pixWrite(OutputNameToPath("rebuilt.png").c_str(), pix, IFF_PNG);
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pixRasterop(pix, 0, 0, width, height, PIX_SRC ^ PIX_DST, src_pix_, 0, 0);
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if (depth == 8) {
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Image binary_pix = pixThresholdToBinary(pix, 128);
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pix.destroy();
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pixInvert(binary_pix, binary_pix);
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pix = binary_pix;
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}
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// if (base::GetFlag(FLAGS_v) >= 1)
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// pixWrite(OutputNameToPath("rebuiltxor.png").c_str(), pix, IFF_PNG);
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l_int32 pixcount;
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pixCountPixels(pix, &pixcount, nullptr);
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if (pixcount > max_diff) {
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std::string outfile = OutputNameToPath("failedxor.png");
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LOG(INFO) << "outfile = " << outfile << "\n";
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pixWrite(outfile.c_str(), pix, IFF_PNG);
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}
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pix.destroy();
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LOG(INFO) << "At level " << level << ": pix diff = " << pixcount << "\n";
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EXPECT_LE(pixcount, max_diff);
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// if (base::GetFlag(FLAGS_v) > 1) CHECK_LE(pixcount, max_diff);
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}
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// Rebuilds the text from the iterator strings at the given level, and
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// EXPECTs that the rebuild string exactly matches the truth string.
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void VerifyIteratorText(const std::string &truth, PageIteratorLevel level, ResultIterator *it) {
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LOG(INFO) << "Text Test Level " << level << "\n";
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it->Begin();
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std::string result;
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do {
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char *text = it->GetUTF8Text(level);
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result += text;
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delete[] text;
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if ((level == tesseract::RIL_WORD || level == tesseract::RIL_SYMBOL) &&
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it->IsAtFinalElement(tesseract::RIL_WORD, level)) {
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if (it->IsAtFinalElement(tesseract::RIL_TEXTLINE, level)) {
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result += '\n';
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} else {
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result += ' ';
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}
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if (it->IsAtFinalElement(tesseract::RIL_PARA, level) &&
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!(it->IsAtFinalElement(tesseract::RIL_BLOCK, level))) {
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result += '\n';
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}
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}
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} while (it->Next(level));
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EXPECT_STREQ(truth.c_str(), result.c_str()) << "Rebuild failed at Text Level " << level;
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}
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void VerifyRebuilds(int block_limit, int para_limit, int line_limit, int word_limit,
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int symbol_limit, PageIterator *it) {
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VerifyRebuild(block_limit, tesseract::RIL_BLOCK, it);
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VerifyRebuild(para_limit, tesseract::RIL_PARA, it);
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VerifyRebuild(line_limit, tesseract::RIL_TEXTLINE, it);
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VerifyRebuild(word_limit, tesseract::RIL_WORD, it);
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VerifyRebuild(symbol_limit, tesseract::RIL_SYMBOL, it);
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}
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void VerifyAllText(const std::string &truth, ResultIterator *it) {
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VerifyIteratorText(truth, tesseract::RIL_BLOCK, it);
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VerifyIteratorText(truth, tesseract::RIL_PARA, it);
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VerifyIteratorText(truth, tesseract::RIL_TEXTLINE, it);
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VerifyIteratorText(truth, tesseract::RIL_WORD, it);
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VerifyIteratorText(truth, tesseract::RIL_SYMBOL, it);
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}
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// Verifies that ResultIterator::CalculateTextlineOrder() produces the right
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// results given an array of word directions (word_dirs[num_words]), an
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// expected output reading order
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// (expected_reading_order[num_reading_order_entries]) and a given reading
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// context (ltr or rtl).
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void ExpectTextlineReadingOrder(bool in_ltr_context, const StrongScriptDirection *word_dirs,
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int num_words, int *expected_reading_order,
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int num_reading_order_entries) const {
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std::vector<StrongScriptDirection> gv_word_dirs;
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for (int i = 0; i < num_words; i++) {
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gv_word_dirs.push_back(word_dirs[i]);
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}
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std::vector<int> calculated_order;
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ResultIterator::CalculateTextlineOrder(in_ltr_context, gv_word_dirs, &calculated_order);
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// STL vector can be used with EXPECT_EQ, so convert...
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std::vector<int> correct_order(expected_reading_order,
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expected_reading_order + num_reading_order_entries);
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EXPECT_EQ(correct_order, calculated_order);
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}
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// Verify that ResultIterator::CalculateTextlineOrder() produces sane output
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// for a given array of word_dirs[num_words] in ltr or rtl context.
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// Sane means that the output contains some permutation of the indices
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// 0..[num_words - 1] interspersed optionally with negative (marker) values.
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void VerifySaneTextlineOrder(bool in_ltr_context, const StrongScriptDirection *word_dirs,
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int num_words) const {
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std::vector<StrongScriptDirection> gv_word_dirs;
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for (int i = 0; i < num_words; i++) {
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gv_word_dirs.push_back(word_dirs[i]);
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}
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std::vector<int> output;
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ResultIterator::CalculateTextlineOrder(in_ltr_context, gv_word_dirs, &output);
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ASSERT_GE(output.size(), num_words);
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std::vector<int> output_copy(output);
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std::sort(output_copy.begin(), output_copy.end());
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bool sane = true;
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unsigned j = 0;
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while (j < output_copy.size() && output_copy[j] < 0) {
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j++;
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}
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for (int i = 0; i < num_words; i++, j++) {
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if (output_copy[j] != i) {
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sane = false;
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break;
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}
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}
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if (j != output_copy.size()) {
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sane = false;
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}
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if (!sane) {
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std::vector<int> empty;
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EXPECT_EQ(output, empty) << " permutation of 0.." << num_words - 1 << " not found in "
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<< (in_ltr_context ? "ltr" : "rtl") << " context.";
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}
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}
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// Objects declared here can be used by all tests in the test case for Foo.
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Image src_pix_; // Borrowed from api_. Do not destroy.
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std::string ocr_text_;
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tesseract::TessBaseAPI api_;
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};
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// Tests layout analysis output (and scrollview) on the UNLV page numbered
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// 8087_054.3G.tif. (Dubrovnik), but only if --visual_test is true.
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//
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// TEST_F(ResultIteratorTest, VisualTest) {
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// if (!FLAGS_visual_test) return;
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// const char* kIms[] = {"8087_054.3G.tif", "8071_093.3B.tif", nullptr};
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// for (int i = 0; kIms[i] != nullptr; ++i) {
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// SetImage(kIms[i]);
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// // Just run layout analysis.
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// PageIterator* it = api_.AnalyseLayout();
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// EXPECT_FALSE(it == nullptr);
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// // Make a scrollview window for the display.
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// int width = pixGetWidth(src_pix_);
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// int height = pixGetHeight(src_pix_);
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// ScrollView* win =
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// new ScrollView(kIms[i], 100, 100, width / 2, height / 2, width, height);
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// win->Image(src_pix_, 0, 0);
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// it->Begin();
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// ScrollView::Color color = ScrollView::RED;
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// win->Brush(ScrollView::NONE);
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// do {
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// Pta* pts = it->BlockPolygon();
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// if (pts != nullptr) {
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// win->Pen(color);
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// int num_pts = ptaGetCount(pts);
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// l_float32 x, y;
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// ptaGetPt(pts, num_pts - 1, &x, &y);
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// win->SetCursor(static_cast<int>(x), static_cast<int>(y));
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// for (int p = 0; p < num_pts; ++p) {
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// ptaGetPt(pts, p, &x, &y);
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// win->DrawTo(static_cast<int>(x), static_cast<int>(y));
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// }
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// }
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// ptaDestroy(&pts);
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// } while (it->Next(tesseract::RIL_BLOCK));
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// win->Update();
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// delete win->AwaitEvent(SVET_DESTROY);
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// delete win;
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// delete it;
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// }
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//}
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// Tests that Tesseract gets exactly the right answer on phototest.
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TEST_F(ResultIteratorTest, EasyTest) {
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SetImage("phototest.tif");
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// Just run layout analysis.
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PageIterator *p_it = api_.AnalyseLayout();
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EXPECT_FALSE(p_it == nullptr);
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// Check iterator position.
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EXPECT_TRUE(p_it->IsAtBeginningOf(tesseract::RIL_BLOCK));
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// This should be a single block.
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EXPECT_FALSE(p_it->Next(tesseract::RIL_BLOCK));
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EXPECT_FALSE(p_it->IsAtBeginningOf(tesseract::RIL_BLOCK));
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// The images should rebuild almost perfectly.
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LOG(INFO) << "Verifying image rebuilds 1 (pageiterator)"
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<< "\n";
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VerifyRebuilds(10, 10, 0, 0, 0, p_it);
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delete p_it;
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char *result = api_.GetUTF8Text();
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ocr_text_ = result;
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delete[] result;
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ResultIterator *r_it = api_.GetIterator();
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// The images should rebuild almost perfectly.
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LOG(INFO) << "Verifying image rebuilds 2a (resultiterator)"
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<< "\n";
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VerifyRebuilds(8, 8, 0, 0, 40, r_it);
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// Test the text.
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LOG(INFO) << "Verifying text rebuilds 1 (resultiterator)"
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<< "\n";
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VerifyAllText(ocr_text_, r_it);
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// The images should rebuild almost perfectly.
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LOG(INFO) << "Verifying image rebuilds 2b (resultiterator)"
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<< "\n";
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VerifyRebuilds(8, 8, 0, 0, 40, r_it);
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r_it->Begin();
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// Test baseline of the first line.
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int x1, y1, x2, y2;
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r_it->Baseline(tesseract::RIL_TEXTLINE, &x1, &y1, &x2, &y2);
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LOG(INFO) << "Baseline ("
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<< x1 << ',' << y1 << ")->(" << x2 << ',' << y2 << ")\n";
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// Make sure we have a decent vector.
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EXPECT_GE(x2, x1 + 400);
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// The point 200,116 should be very close to the baseline.
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// (x3,y3) is the vector from (x1,y1) to (200,116)
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int x3 = 200 - x1;
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int y3 = 116 - y1;
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x2 -= x1;
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y2 -= y1;
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// The cross product (x2,y1)x(x3,y3) should be small.
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int product = x2 * y3 - x3 * y2;
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EXPECT_LE(abs(product), x2);
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// Test font attributes for each word.
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do {
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bool bold, italic, underlined, monospace, serif, smallcaps;
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int pointsize, font_id;
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const char *font = r_it->WordFontAttributes(&bold, &italic, &underlined, &monospace, &serif,
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&smallcaps, &pointsize, &font_id);
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float confidence = r_it->Confidence(tesseract::RIL_WORD);
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EXPECT_GE(confidence, 80.0f);
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char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
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LOG(INFO) << "Word " << word_str << " in font " << font
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<< ", id " << font_id << ", size " << pointsize
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<< ", conf " << confidence << "\n";
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delete[] word_str;
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EXPECT_FALSE(bold);
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EXPECT_FALSE(italic);
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EXPECT_FALSE(underlined);
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EXPECT_FALSE(monospace);
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EXPECT_FALSE(serif);
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// The text is about 31 pixels high. Above we say the source is 200 ppi,
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// which translates to:
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// 31 pixels / textline * (72 pts / inch) / (200 pixels / inch) = 11.16 pts
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EXPECT_GE(pointsize, 11.16 - 1.50);
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EXPECT_LE(pointsize, 11.16 + 1.50);
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} while (r_it->Next(tesseract::RIL_WORD));
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delete r_it;
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}
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// Tests image rebuild on the UNLV page numbered 8087_054.3B.tif. (Dubrovnik)
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TEST_F(ResultIteratorTest, ComplexTest) {
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SetImage("8087_054.3B.tif");
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// Just run layout analysis.
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PageIterator *it = api_.AnalyseLayout();
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EXPECT_FALSE(it == nullptr);
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// The images should rebuild almost perfectly.
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VerifyRebuilds(2073, 2073, 2080, 2081, 2090, it);
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delete it;
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}
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// Tests image rebuild on the UNLV page numbered 8087_054.3G.tif. (Dubrovnik)
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TEST_F(ResultIteratorTest, GreyTest) {
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SetImage("8087_054.3G.tif");
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// Just run layout analysis.
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PageIterator *it = api_.AnalyseLayout();
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EXPECT_FALSE(it == nullptr);
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// The images should rebuild almost perfectly.
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VerifyRebuilds(600, 600, 600, 600, 600, it);
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delete it;
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}
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// Tests that Tesseract gets smallcaps and dropcaps.
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TEST_F(ResultIteratorTest, SmallCapDropCapTest) {
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SetImage("8071_093.3B.tif");
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char *result = api_.GetUTF8Text();
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delete[] result;
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ResultIterator *r_it = api_.GetIterator();
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// Iterate over the words.
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int found_dropcaps = 0;
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int found_smallcaps = 0;
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int false_positives = 0;
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do {
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bool bold, italic, underlined, monospace, serif, smallcaps;
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int pointsize, font_id;
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r_it->WordFontAttributes(&bold, &italic, &underlined, &monospace, &serif, &smallcaps,
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&pointsize, &font_id);
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char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
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if (word_str != nullptr) {
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LOG(INFO) << "Word " << word_str
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<< " is " << (smallcaps ? "SMALLCAPS" : "Normal") << "\n";
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if (r_it->SymbolIsDropcap()) {
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++found_dropcaps;
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}
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if (strcmp(word_str, "SHE") == 0 || strcmp(word_str, "MOPED") == 0 ||
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strcmp(word_str, "RALPH") == 0 || strcmp(word_str, "KINNEY") == 0 || // Not working yet.
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strcmp(word_str, "BENNETT") == 0) {
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EXPECT_TRUE(smallcaps) << word_str;
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++found_smallcaps;
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} else {
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if (smallcaps) {
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++false_positives;
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}
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}
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// No symbol other than the first of any word should be dropcap.
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ResultIterator s_it(*r_it);
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while (s_it.Next(tesseract::RIL_SYMBOL) && !s_it.IsAtBeginningOf(tesseract::RIL_WORD)) {
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if (s_it.SymbolIsDropcap()) {
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char *sym_str = s_it.GetUTF8Text(tesseract::RIL_SYMBOL);
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LOG(ERROR) << "Symbol " << sym_str << " of word " << word_str << " is dropcap";
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delete[] sym_str;
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}
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EXPECT_FALSE(s_it.SymbolIsDropcap());
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}
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delete[] word_str;
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}
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} while (r_it->Next(tesseract::RIL_WORD));
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delete r_it;
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EXPECT_EQ(1, found_dropcaps);
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EXPECT_GE(4, found_smallcaps);
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EXPECT_LE(false_positives, 3);
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}
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#if 0
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// TODO(rays) uncomment on the next change to layout analysis.
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// CL 22736106 breaks it, but it is fixed in the change when
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// the textline finders start to collapse.
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// Tests that Tesseract gets subscript and superscript.
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// TODO(rays) This test is a bit feeble, due to bad textline finding on this
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// image, so beef up the test a bit when we get less false positive subs.
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TEST_F(ResultIteratorTest, SubSuperTest) {
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SetImage("0146_281.3B.tif");
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char* result = api_.GetUTF8Text();
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delete [] result;
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ResultIterator* r_it = api_.GetIterator();
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// Iterate over the symbols.
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// Accuracy isn't great, so just count up and expect a decent count of
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// positives and negatives.
|
|
const char kAllowedSupers[] = "O0123456789-";
|
|
int found_subs = 0;
|
|
int found_supers = 0;
|
|
int found_normal = 0;
|
|
do {
|
|
if (r_it->SymbolIsSubscript()) {
|
|
++found_subs;
|
|
} else if (r_it->SymbolIsSuperscript()) {
|
|
result = r_it->GetUTF8Text(tesseract::RIL_SYMBOL);
|
|
if (strchr(kAllowedSupers, result[0]) == nullptr) {
|
|
char* word = r_it->GetUTF8Text(tesseract::RIL_WORD);
|
|
LOG(ERROR) << "Char " << result << " in word " << word << " is unexpected super!";
|
|
delete [] word;
|
|
EXPECT_TRUE(strchr(kAllowedSupers, result[0]) != nullptr);
|
|
}
|
|
delete [] result;
|
|
++found_supers;
|
|
} else {
|
|
++found_normal;
|
|
}
|
|
} while (r_it->Next(tesseract::RIL_SYMBOL));
|
|
delete r_it;
|
|
LOG(INFO) << "Subs = " << found_subs << ", supers= " << found_supers
|
|
<< ", normal = " << found_normal << "\n";
|
|
EXPECT_GE(found_subs, 25);
|
|
EXPECT_GE(found_supers, 25);
|
|
EXPECT_GE(found_normal, 1350);
|
|
}
|
|
#endif
|
|
|
|
static const StrongScriptDirection dL = DIR_LEFT_TO_RIGHT;
|
|
static const StrongScriptDirection dR = DIR_RIGHT_TO_LEFT;
|
|
static const StrongScriptDirection dN = DIR_NEUTRAL;
|
|
|
|
// Test that a sequence of words that could be interpreted to start from
|
|
// the left side left-to-right or from the right side right-to-left is
|
|
// interpreted appropriately in different contexts.
|
|
TEST_F(ResultIteratorTest, DualStartTextlineOrderTest) {
|
|
const StrongScriptDirection word_dirs[] = {dL, dL, dN, dL, dN, dR, dR, dR};
|
|
int reading_order_rtl_context[] = {7, 6, 5, 4, ResultIterator::kMinorRunStart,
|
|
0, 1, 2, 3, ResultIterator::kMinorRunEnd};
|
|
int reading_order_ltr_context[] = {
|
|
0, 1, 2, 3, 4, ResultIterator::kMinorRunStart, 7, 6, 5, ResultIterator::kMinorRunEnd};
|
|
|
|
ExpectTextlineReadingOrder(true, word_dirs, countof(word_dirs), reading_order_ltr_context,
|
|
countof(reading_order_ltr_context));
|
|
ExpectTextlineReadingOrder(false, word_dirs, countof(word_dirs), reading_order_rtl_context,
|
|
countof(reading_order_rtl_context));
|
|
}
|
|
|
|
// Tests that clearly left-direction text (with no right-to-left indications)
|
|
// comes out strictly left to right no matter the context.
|
|
TEST_F(ResultIteratorTest, LeftwardTextlineOrderTest) {
|
|
const StrongScriptDirection word_dirs[] = {dL, dL, dN, dL, dN, dN, dL, dL};
|
|
// The order here is just left to right, nothing fancy.
|
|
int reading_order_ltr_context[] = {0, 1, 2, 3, 4, 5, 6, 7};
|
|
// In the strange event that this shows up in an RTL paragraph, nonetheless
|
|
// just presume the whole thing is an LTR line.
|
|
int reading_order_rtl_context[] = {ResultIterator::kMinorRunStart, 0, 1, 2, 3, 4, 5, 6, 7,
|
|
ResultIterator::kMinorRunEnd};
|
|
|
|
ExpectTextlineReadingOrder(true, word_dirs, countof(word_dirs), reading_order_ltr_context,
|
|
countof(reading_order_ltr_context));
|
|
ExpectTextlineReadingOrder(false, word_dirs, countof(word_dirs), reading_order_rtl_context,
|
|
countof(reading_order_rtl_context));
|
|
}
|
|
|
|
// Test that right-direction text comes out strictly right-to-left in
|
|
// a right-to-left context.
|
|
TEST_F(ResultIteratorTest, RightwardTextlineOrderTest) {
|
|
const StrongScriptDirection word_dirs[] = {dR, dR, dN, dR, dN, dN, dR, dR};
|
|
// The order here is just right-to-left, nothing fancy.
|
|
int reading_order_rtl_context[] = {7, 6, 5, 4, 3, 2, 1, 0};
|
|
ExpectTextlineReadingOrder(false, word_dirs, countof(word_dirs), reading_order_rtl_context,
|
|
countof(reading_order_rtl_context));
|
|
}
|
|
|
|
TEST_F(ResultIteratorTest, TextlineOrderSanityCheck) {
|
|
// Iterate through all 7-word sequences and make sure that the output
|
|
// contains each of the indices 0..6 exactly once.
|
|
const int kNumWords(7);
|
|
const int kNumCombos = 1 << (2 * kNumWords); // 4 ^ 7 combinations
|
|
StrongScriptDirection word_dirs[kNumWords];
|
|
for (int i = 0; i < kNumCombos; i++) {
|
|
// generate the next combination.
|
|
int tmp = i;
|
|
for (auto &word_dir : word_dirs) {
|
|
word_dir = static_cast<StrongScriptDirection>(tmp % 4);
|
|
tmp = tmp / 4;
|
|
}
|
|
VerifySaneTextlineOrder(true, word_dirs, kNumWords);
|
|
VerifySaneTextlineOrder(false, word_dirs, kNumWords);
|
|
}
|
|
}
|
|
|
|
// TODO: Missing image
|
|
TEST_F(ResultIteratorTest, DISABLED_NonNullChoicesTest) {
|
|
SetImage("5318c4b679264.jpg");
|
|
char *result = api_.GetUTF8Text();
|
|
delete[] result;
|
|
ResultIterator *r_it = api_.GetIterator();
|
|
// Iterate over the words.
|
|
do {
|
|
char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
|
|
if (word_str != nullptr) {
|
|
LOG(INFO) << "Word " << word_str << ":\n";
|
|
ResultIterator s_it = *r_it;
|
|
do {
|
|
tesseract::ChoiceIterator c_it(s_it);
|
|
do {
|
|
const char *char_str = c_it.GetUTF8Text();
|
|
if (char_str == nullptr) {
|
|
LOG(INFO) << "Null char choice"
|
|
<< "\n";
|
|
} else {
|
|
LOG(INFO) << "Char choice " << char_str << "\n";
|
|
}
|
|
CHECK(char_str != nullptr);
|
|
} while (c_it.Next());
|
|
} while (!s_it.IsAtFinalElement(tesseract::RIL_WORD, tesseract::RIL_SYMBOL) &&
|
|
s_it.Next(tesseract::RIL_SYMBOL));
|
|
delete[] word_str;
|
|
}
|
|
} while (r_it->Next(tesseract::RIL_WORD));
|
|
delete r_it;
|
|
}
|
|
|
|
// TODO: Missing image
|
|
TEST_F(ResultIteratorTest, NonNullConfidencesTest) {
|
|
// SetImage("line6.tiff");
|
|
SetImage("trainingitalline.tif");
|
|
api_.SetPageSegMode(tesseract::PSM_SINGLE_BLOCK);
|
|
// Force recognition so we can used the result iterator.
|
|
// We don't care about the return from GetUTF8Text.
|
|
char *result = api_.GetUTF8Text();
|
|
delete[] result;
|
|
ResultIterator *r_it = api_.GetIterator();
|
|
// Iterate over the words.
|
|
do {
|
|
char *word_str = r_it->GetUTF8Text(tesseract::RIL_WORD);
|
|
if (word_str != nullptr) {
|
|
EXPECT_FALSE(r_it->Empty(tesseract::RIL_WORD));
|
|
EXPECT_FALSE(r_it->Empty(tesseract::RIL_SYMBOL));
|
|
ResultIterator s_it = *r_it;
|
|
do {
|
|
const char *char_str = s_it.GetUTF8Text(tesseract::RIL_SYMBOL);
|
|
CHECK(char_str != nullptr);
|
|
float confidence = s_it.Confidence(tesseract::RIL_SYMBOL);
|
|
LOG(INFO) << "Char " << char_str << " has confidence " << confidence << "\n";
|
|
delete[] char_str;
|
|
} while (!s_it.IsAtFinalElement(tesseract::RIL_WORD, tesseract::RIL_SYMBOL) &&
|
|
s_it.Next(tesseract::RIL_SYMBOL));
|
|
delete[] word_str;
|
|
} else {
|
|
LOG(INFO) << "Empty word found"
|
|
<< "\n";
|
|
}
|
|
} while (r_it->Next(tesseract::RIL_WORD));
|
|
delete r_it;
|
|
}
|
|
|
|
} // namespace tesseract
|