mirror of
https://github.com/tesseract-ocr/tesseract.git
synced 2024-11-27 20:59:36 +08:00
396 lines
15 KiB
C++
396 lines
15 KiB
C++
// (C) Copyright 2017, Google Inc.
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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// http://www.apache.org/licenses/LICENSE-2.0
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#include "include_gunit.h"
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#include "cycletimer.h" // for CycleTimer
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#include "log.h" // for LOG
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#include "ocrblock.h" // for class BLOCK
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#include "pageres.h"
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#include <tesseract/baseapi.h>
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#include <allheaders.h>
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#include "absl/strings/ascii.h"
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#include "absl/strings/str_cat.h"
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#include "gmock/gmock-matchers.h"
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#include <memory>
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#include <regex>
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#include <string>
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#include <vector>
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namespace tesseract {
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using ::testing::ContainsRegex;
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using ::testing::HasSubstr;
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static const char *langs[] = {"eng", "vie", "hin", "ara", nullptr};
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static const char *image_files[] = {"HelloGoogle.tif", "viet.tif", "raaj.tif", "arabic.tif",
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nullptr};
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static const char *gt_text[] = {"Hello Google", "\x74\x69\xe1\xba\xbf\x6e\x67",
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"\xe0\xa4\xb0\xe0\xa4\xbe\xe0\xa4\x9c",
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"\xd8\xa7\xd9\x84\xd8\xb9\xd8\xb1\xd8\xa8\xd9\x8a", nullptr};
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class FriendlyTessBaseAPI : public tesseract::TessBaseAPI {
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FRIEND_TEST(TesseractTest, LSTMGeometryTest);
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};
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std::string GetCleanedTextResult(tesseract::TessBaseAPI *tess, Pix *pix) {
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tess->SetImage(pix);
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char *result = tess->GetUTF8Text();
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std::string ocr_result = result;
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delete[] result;
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absl::StripAsciiWhitespace(&ocr_result);
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return ocr_result;
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}
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// The fixture for testing Tesseract.
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class TesseractTest : public testing::Test {
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protected:
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static 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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static std::string TessdataPath() {
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return TESSDATA_DIR;
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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(TesseractTest, BasicTesseractTest) {
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tesseract::TessBaseAPI api;
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std::string truth_text;
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std::string ocr_text;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY) != -1) {
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Pix *src_pix = pixRead(TestDataNameToPath("phototest.tif").c_str());
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CHECK(src_pix);
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ocr_text = GetCleanedTextResult(&api, src_pix);
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CHECK_OK(
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file::GetContents(TestDataNameToPath("phototest.gold.txt"), &truth_text, file::Defaults()));
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absl::StripAsciiWhitespace(&truth_text);
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EXPECT_STREQ(truth_text.c_str(), ocr_text.c_str());
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pixDestroy(&src_pix);
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} else {
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// eng.traineddata not found.
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GTEST_SKIP();
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}
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}
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// Test that api.GetComponentImages() will return a set of images for
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// paragraphs even if text recognition was not run.
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TEST_F(TesseractTest, IteratesParagraphsEvenIfNotDetected) {
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tesseract::TessBaseAPI api;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY) != -1) {
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api.SetPageSegMode(tesseract::PSM_SINGLE_BLOCK);
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api.SetVariable("paragraph_debug_level", "3");
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#if 0 // TODO: b622.png is missing
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Pix* src_pix = pixRead(TestDataNameToPath("b622.png").c_str());
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CHECK(src_pix);
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api.SetImage(src_pix);
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Boxa* para_boxes =
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api.GetComponentImages(tesseract::RIL_PARA, true, nullptr, nullptr);
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EXPECT_TRUE(para_boxes != nullptr);
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Boxa* block_boxes =
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api.GetComponentImages(tesseract::RIL_BLOCK, true, nullptr, nullptr);
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EXPECT_TRUE(block_boxes != nullptr);
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// TODO(eger): Get paragraphs out of this page pre-text.
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EXPECT_GE(boxaGetCount(para_boxes), boxaGetCount(block_boxes));
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boxaDestroy(&block_boxes);
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boxaDestroy(¶_boxes);
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pixDestroy(&src_pix);
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#endif
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} else {
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// eng.traineddata not found.
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GTEST_SKIP();
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}
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}
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// We should get hOCR output and not seg fault, even if the api caller doesn't
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// call SetInputName().
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TEST_F(TesseractTest, HOCRWorksWithoutSetInputName) {
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tesseract::TessBaseAPI api;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY) == -1) {
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// eng.traineddata not found.
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GTEST_SKIP();
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return;
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}
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Pix *src_pix = pixRead(TestDataNameToPath("HelloGoogle.tif").c_str());
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CHECK(src_pix);
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api.SetImage(src_pix);
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char *result = api.GetHOCRText(0);
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EXPECT_TRUE(result != nullptr);
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EXPECT_THAT(result, HasSubstr("Hello"));
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EXPECT_THAT(result, HasSubstr("<div class='ocr_page'"));
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delete[] result;
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pixDestroy(&src_pix);
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}
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// hOCR output should contain baseline info for upright textlines.
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TEST_F(TesseractTest, HOCRContainsBaseline) {
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tesseract::TessBaseAPI api;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY) == -1) {
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// eng.traineddata not found.
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GTEST_SKIP();
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return;
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}
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Pix *src_pix = pixRead(TestDataNameToPath("HelloGoogle.tif").c_str());
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CHECK(src_pix);
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api.SetInputName("HelloGoogle.tif");
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api.SetImage(src_pix);
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char *result = api.GetHOCRText(0);
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EXPECT_TRUE(result != nullptr);
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EXPECT_THAT(result, HasSubstr("Hello"));
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EXPECT_TRUE(std::regex_search(
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result, std::regex{"<span class='ocr_line'[^>]* baseline [-.0-9]+ [-.0-9]+"}));
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delete[] result;
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pixDestroy(&src_pix);
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}
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// Tests that Tesseract gets exactly the right answer on some page numbers.
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TEST_F(TesseractTest, AdaptToWordStrTest) {
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#ifdef DISABLED_LEGACY_ENGINE
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// Skip test because TessBaseAPI::AdaptToWordStr is missing.
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GTEST_SKIP();
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#else
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static const char *kTrainingPages[] = {"136.tif", "256.tif", "410.tif", "432.tif", "540.tif",
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"692.tif", "779.tif", "793.tif", "808.tif", "815.tif",
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"12.tif", "12.tif", nullptr};
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static const char *kTrainingText[] = {"1 3 6", "2 5 6", "4 1 0", "4 3 2", "5 4 0",
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"6 9 2", "7 7 9", "7 9 3", "8 0 8", "8 1 5",
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"1 2", "1 2", nullptr};
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static const char *kTestPages[] = {"324.tif", "433.tif", "12.tif", nullptr};
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static const char *kTestText[] = {"324", "433", "12", nullptr};
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tesseract::TessBaseAPI api;
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std::string truth_text;
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std::string ocr_text;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_TESSERACT_ONLY) == -1) {
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// eng.traineddata not found.
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GTEST_SKIP();
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return;
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}
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api.SetVariable("matcher_sufficient_examples_for_prototyping", "1");
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api.SetVariable("classify_class_pruner_threshold", "220");
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// Train on the training text.
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for (int i = 0; kTrainingPages[i] != nullptr; ++i) {
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std::string image_file = TestDataNameToPath(kTrainingPages[i]);
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Pix *src_pix = pixRead(image_file.c_str());
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CHECK(src_pix);
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api.SetImage(src_pix);
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EXPECT_TRUE(api.AdaptToWordStr(tesseract::PSM_SINGLE_WORD, kTrainingText[i]))
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<< "Failed to adapt to text \"" << kTrainingText[i] << "\" on image " << image_file;
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pixDestroy(&src_pix);
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}
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// Test the test text.
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api.SetVariable("tess_bn_matching", "1");
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api.SetPageSegMode(tesseract::PSM_SINGLE_WORD);
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for (int i = 0; kTestPages[i] != nullptr; ++i) {
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Pix *src_pix = pixRead(TestDataNameToPath(kTestPages[i]).c_str());
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CHECK(src_pix);
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ocr_text = GetCleanedTextResult(&api, src_pix);
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absl::StripAsciiWhitespace(&truth_text);
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EXPECT_STREQ(kTestText[i], ocr_text.c_str());
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pixDestroy(&src_pix);
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}
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#endif
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}
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// Tests that LSTM gets exactly the right answer on phototest.
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TEST_F(TesseractTest, BasicLSTMTest) {
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tesseract::TessBaseAPI api;
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std::string truth_text;
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std::string ocr_text;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_LSTM_ONLY) == -1) {
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// eng.traineddata not found.
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GTEST_SKIP();
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return;
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}
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Pix *src_pix = pixRead(TestDataNameToPath("phototest_2.tif").c_str());
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CHECK(src_pix);
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ocr_text = GetCleanedTextResult(&api, src_pix);
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CHECK_OK(
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file::GetContents(TestDataNameToPath("phototest.gold.txt"), &truth_text, file::Defaults()));
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absl::StripAsciiWhitespace(&truth_text);
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EXPECT_STREQ(truth_text.c_str(), ocr_text.c_str());
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pixDestroy(&src_pix);
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}
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// Test that LSTM's character bounding boxes are properly converted to
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// Tesseract structures. Note that we can't guarantee that LSTM's
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// character boxes fall completely within Tesseract's word box because
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// the baseline denormalization/normalization transforms may introduce
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// errors due to float/int conversions (e.g., see OUTLINE::move() in
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// ccstruct/poutline.h) Instead, we do a loose check.
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TEST_F(TesseractTest, LSTMGeometryTest) {
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Pix *src_pix = pixRead(TestDataNameToPath("deslant.tif").c_str());
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FriendlyTessBaseAPI api;
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if (api.Init(TessdataPath().c_str(), "eng", tesseract::OEM_LSTM_ONLY) == -1) {
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// eng.traineddata not found.
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GTEST_SKIP();
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return;
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}
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api.SetImage(src_pix);
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ASSERT_EQ(api.Recognize(nullptr), 0);
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const PAGE_RES *page_res = api.GetPageRes();
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PAGE_RES_IT page_res_it(const_cast<PAGE_RES *>(page_res));
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page_res_it.restart_page();
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BLOCK *block = page_res_it.block()->block;
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CHECK(block);
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// extract word and character boxes for each word
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for (page_res_it.restart_page(); page_res_it.word() != nullptr; page_res_it.forward()) {
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WERD_RES *word = page_res_it.word();
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CHECK(word);
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CHECK(word->best_choice);
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CHECK_GT(word->best_choice->length(), 0);
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CHECK(word->word);
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CHECK(word->box_word);
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// tesseract's word box
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TBOX tess_blob_box;
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tess_blob_box = word->word->bounding_box();
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tess_blob_box.rotate(block->re_rotation());
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// verify that each of LSTM's character boxes lies close to within
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// tesseract's word box
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for (int i = 0; i < word->box_word->length(); ++i) {
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TBOX lstm_blob_box = word->box_word->BlobBox(i);
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// LSTM character box should not spill out of tesseract word box
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// by more than a few pixels in any direction
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EXPECT_LT(tess_blob_box.left() - lstm_blob_box.left(), 5);
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EXPECT_LT(lstm_blob_box.right() - tess_blob_box.right(), 5);
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EXPECT_LT(tess_blob_box.bottom() - lstm_blob_box.bottom(), 5);
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EXPECT_LT(lstm_blob_box.top() - tess_blob_box.top(), 5);
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}
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}
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pixDestroy(&src_pix);
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}
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TEST_F(TesseractTest, InitConfigOnlyTest) {
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// Languages for testing initialization.
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const char *langs[] = {"eng", "chi_tra", "jpn", "vie"};
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std::unique_ptr<tesseract::TessBaseAPI> api;
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CycleTimer timer;
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for (size_t i = 0; i < countof(langs); ++i) {
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api = std::make_unique<tesseract::TessBaseAPI>();
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timer.Restart();
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EXPECT_EQ(0, api->Init(TessdataPath().c_str(), langs[i], tesseract::OEM_TESSERACT_ONLY));
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timer.Stop();
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LOG(INFO) << "Lang " << langs[i] << " took " << timer.GetInMs() << "ms in regular init";
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}
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// Init variables to set for config-only initialization.
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std::vector<std::string> vars_vec, vars_values;
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vars_vec.push_back("tessedit_init_config_only");
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vars_values.push_back("1");
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LOG(INFO) << "Switching to config only initialization:";
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for (size_t i = 0; i < countof(langs); ++i) {
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api = std::make_unique<tesseract::TessBaseAPI>();
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timer.Restart();
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EXPECT_EQ(0, api->Init(TessdataPath().c_str(), langs[i], tesseract::OEM_TESSERACT_ONLY, nullptr,
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0, &vars_vec, &vars_values, false));
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timer.Stop();
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LOG(INFO) << "Lang " << langs[i] << " took " << timer.GetInMs() << "ms in config-only init";
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}
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}
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// Tests if two instances of Tesseract/LSTM can co-exist in the same thread.
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// NOTE: This is not an exhaustive test and current support for multiple
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// instances in Tesseract is fragile. This test is intended largely as a means
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// of detecting and guarding against the existing support being possibly broken
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// by future CLs. TessBaseAPI instances are initialized using the default
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// OEM_DEFAULT mode.
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TEST(TesseractInstanceTest, TestMultipleTessInstances) {
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int num_langs = 0;
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while (langs[num_langs] != nullptr)
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++num_langs;
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const std::string kTessdataPath = TESSDATA_DIR;
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// Preload images and verify that OCR is correct on them individually.
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std::vector<Pix *> pix(num_langs);
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for (int i = 0; i < num_langs; ++i) {
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SCOPED_TRACE(absl::StrCat("Single instance test with lang = ", langs[i]));
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std::string path = file::JoinPath(TESTING_DIR, image_files[i]);
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pix[i] = pixRead(path.c_str());
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QCHECK(pix[i] != nullptr) << "Could not read " << path;
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tesseract::TessBaseAPI tess;
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EXPECT_EQ(0, tess.Init(kTessdataPath.c_str(), langs[i]));
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std::string ocr_result = GetCleanedTextResult(&tess, pix[i]);
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EXPECT_STREQ(gt_text[i], ocr_result.c_str());
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}
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// Process the images in all pairwise combinations of associated languages.
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std::string ocr_result[2];
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for (int i = 0; i < num_langs; ++i) {
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for (int j = i + 1; j < num_langs; ++j) {
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tesseract::TessBaseAPI tess1, tess2;
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tess1.Init(kTessdataPath.c_str(), langs[i]);
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tess2.Init(kTessdataPath.c_str(), langs[j]);
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ocr_result[0] = GetCleanedTextResult(&tess1, pix[i]);
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ocr_result[1] = GetCleanedTextResult(&tess2, pix[j]);
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EXPECT_FALSE(strcmp(gt_text[i], ocr_result[0].c_str()) ||
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strcmp(gt_text[j], ocr_result[1].c_str()))
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<< "OCR failed on language pair " << langs[i] << "-" << langs[j];
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}
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}
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for (int i = 0; i < num_langs; ++i)
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pixDestroy(&pix[i]);
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}
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// Tests whether Tesseract parameters are correctly set for the two instances.
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TEST(TesseractInstanceTest, TestMultipleTessInstanceVariables) {
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std::string illegal_name = "an_illegal_name";
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std::string langs[2] = {"eng", "hin"};
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std::string int_param_name = "tessedit_pageseg_mode";
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int int_param[2] = {1, 2};
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std::string int_param_str[2] = {"1", "2"};
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std::string bool_param_name = "tessedit_ambigs_training";
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bool bool_param[2] = {false, true};
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std::string bool_param_str[2] = {"F", "T"};
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std::string str_param_name = "tessedit_char_blacklist";
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std::string str_param[2] = {"abc", "def"};
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std::string double_param_name = "segment_penalty_dict_frequent_word";
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std::string double_param_str[2] = {"0.01", "2"};
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double double_param[2] = {0.01, 2};
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const std::string kTessdataPath = TESSDATA_DIR;
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tesseract::TessBaseAPI tess1, tess2;
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for (int i = 0; i < 2; ++i) {
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tesseract::TessBaseAPI *api = (i == 0) ? &tess1 : &tess2;
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api->Init(kTessdataPath.c_str(), langs[i].c_str());
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api->SetVariable(illegal_name.c_str(), "none");
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api->SetVariable(int_param_name.c_str(), int_param_str[i].c_str());
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api->SetVariable(bool_param_name.c_str(), bool_param_str[i].c_str());
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api->SetVariable(str_param_name.c_str(), str_param[i].c_str());
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api->SetVariable(double_param_name.c_str(), double_param_str[i].c_str());
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}
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for (int i = 0; i < 2; ++i) {
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tesseract::TessBaseAPI *api = (i == 0) ? &tess1 : &tess2;
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EXPECT_FALSE(api->GetStringVariable(illegal_name.c_str()));
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int intvar;
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EXPECT_TRUE(api->GetIntVariable(int_param_name.c_str(), &intvar));
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EXPECT_EQ(int_param[i], intvar);
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bool boolvar;
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EXPECT_TRUE(api->GetBoolVariable(bool_param_name.c_str(), &boolvar));
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EXPECT_EQ(bool_param[i], boolvar);
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EXPECT_STREQ(str_param[i].c_str(), api->GetStringVariable(str_param_name.c_str()));
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double doublevar;
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EXPECT_TRUE(api->GetDoubleVariable(double_param_name.c_str(), &doublevar));
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EXPECT_EQ(double_param[i], doublevar);
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}
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}
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} // namespace tesseract
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