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https://github.com/tesseract-ocr/tesseract.git
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113 lines
4.7 KiB
C++
113 lines
4.7 KiB
C++
#include "tesseract/ccstruct/imagedata.h"
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#include <string>
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#include <vector>
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using tesseract::DocumentCache;
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using tesseract::DocumentData;
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using tesseract::ImageData;
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namespace {
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// Tests the caching mechanism of DocumentData/ImageData.
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class ImagedataTest : public ::testing::Test {
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protected:
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ImagedataTest() {}
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// Creates a fake DocumentData, writes it to a file, and returns the filename.
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string MakeFakeDoc(int num_pages, int doc_id,
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std::vector<string>* page_texts) {
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// The size of the fake images that we will use.
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const int kImageSize = 1048576;
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// Not using a real image here - just an array of zeros! We are just testing
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// that the truth text matches.
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std::vector<char> fake_image(kImageSize, 0);
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DocumentData write_doc("My document");
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for (int p = 0; p < num_pages; ++p) {
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// Make some fake text that is different for each page and save it.
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page_texts->push_back(
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StringPrintf("Page %d of %d in doc %d", p, num_pages, doc_id));
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// Make an imagedata and put it in the document.
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ImageData* imagedata =
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ImageData::Build("noname", p, "eng", fake_image.data(),
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fake_image.size(), (*page_texts)[p].c_str(), nullptr);
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EXPECT_EQ(kImageSize, imagedata->MemoryUsed());
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write_doc.AddPageToDocument(imagedata);
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}
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// Write it to a file.
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string filename = file::JoinPath(
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FLAGS_test_tmpdir, absl::StrCat("documentdata", doc_id, ".lstmf"));
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EXPECT_TRUE(write_doc.SaveDocument(filename.c_str(), nullptr));
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return filename;
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}
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};
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TEST_F(ImagedataTest, CachesProperly) {
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// This test verifies that Imagedata can be stored in a DocumentData and a
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// collection of them is cached correctly given limited memory.
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// Number of pages to put in the fake document.
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const int kNumPages = 12;
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// Allowances to read the document. Big enough for 1, 3, 0, all pages.
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const int kMemoryAllowances[] = {2000000, 4000000, 1000000, 100000000, 0};
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// Order in which to read the pages, with some sequential and some seeks.
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const int kPageReadOrder[] = {0, 1, 2, 3, 8, 4, 5, 6, 7, 11, 10, 9, -1};
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std::vector<string> page_texts;
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string filename = MakeFakeDoc(kNumPages, 0, &page_texts);
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// Now try getting it back with different memory allowances and check that
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// the pages can still be read.
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for (int m = 0; kMemoryAllowances[m] > 0; ++m) {
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DocumentData read_doc("My document");
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EXPECT_TRUE(
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read_doc.LoadDocument(filename.c_str(), 0, kMemoryAllowances[m], nullptr));
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LOG(ERROR) << "Allowance = " << kMemoryAllowances[m];
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// Read the pages in a specific order.
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for (int p = 0; kPageReadOrder[p] >= 0; ++p) {
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int page = kPageReadOrder[p];
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const ImageData* imagedata = read_doc.GetPage(page);
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EXPECT_NE(reinterpret_cast<const ImageData*>(nullptr), imagedata);
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// Check that this is the right page.
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EXPECT_STREQ(page_texts[page].c_str(),
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imagedata->transcription().string());
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}
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}
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}
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TEST_F(ImagedataTest, CachesMultiDocs) {
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// This test verifies that DocumentCache works to store multiple DocumentData
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// and the two caching strategies read images in the right order.
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// Number of pages in each document.
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const std::vector<int> kNumPages = {6, 5, 7};
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std::vector<std::vector<string>> page_texts;
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GenericVector<STRING> filenames;
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for (int d = 0; d < kNumPages.size(); ++d) {
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page_texts.emplace_back(std::vector<string>());
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string filename = MakeFakeDoc(kNumPages[d], d, &page_texts.back());
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filenames.push_back(STRING(filename.c_str()));
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}
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// Now try getting them back with different cache strategies and check that
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// the pages come out in the right order.
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DocumentCache robin_cache(8000000);
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robin_cache.LoadDocuments(filenames, tesseract::CS_ROUND_ROBIN, nullptr);
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DocumentCache serial_cache(8000000);
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serial_cache.LoadDocuments(filenames, tesseract::CS_SEQUENTIAL, nullptr);
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for (int p = 0; p <= 21; ++p) {
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LOG(INFO) << "Page " << p;
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const ImageData* robin_data = robin_cache.GetPageBySerial(p);
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const ImageData* serial_data = serial_cache.GetPageBySerial(p);
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CHECK(robin_data != nullptr);
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CHECK(serial_data != nullptr);
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int robin_doc = p % kNumPages.size();
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int robin_page = p / kNumPages.size() % kNumPages[robin_doc];
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// Check that this is the right page.
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EXPECT_STREQ(page_texts[robin_doc][robin_page].c_str(),
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robin_data->transcription().string());
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int serial_doc = p / kNumPages[0] % kNumPages.size();
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int serial_page = p % kNumPages[0] % kNumPages[serial_doc];
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EXPECT_STREQ(page_texts[serial_doc][serial_page].c_str(),
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serial_data->transcription().string());
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}
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}
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} // namespace.
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