Fix and enable lstm related unittests (#2180)

* Fix and build lstm related unittests * Use ./tmp instead of ./ for files created by unittests
tesseract-ocr · Jan 24, 2019 · bbd23bb · bbd23bb
1 parent 12c1abc
commit bbd23bb
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Showing 7 changed files with 129 additions and 53 deletions.
diff --git a/unittest/Makefile.am b/unittest/Makefile.am
@@ -133,9 +133,12 @@ check_PROGRAMS = \
 
 if ENABLE_TRAINING
 check_PROGRAMS += commandlineflags_test
+check_PROGRAMS += lstm_recode_test
+check_PROGRAMS += lstm_squashed_test
+check_PROGRAMS += lstm_test
 check_PROGRAMS += unichar_test
-check_PROGRAMS += unicharset_test
 check_PROGRAMS += unicharcompress_test
+check_PROGRAMS += unicharset_test
 check_PROGRAMS += validate_grapheme_test
 check_PROGRAMS += validate_indic_test
 check_PROGRAMS += validate_khmer_test
@@ -215,6 +218,15 @@ linlsq_test_LDADD = $(GTEST_LIBS) $(TESS_LIBS)
 loadlang_test_SOURCES = loadlang_test.cc
 loadlang_test_LDADD = $(GTEST_LIBS) $(TESS_LIBS) $(LEPTONICA_LIBS)
 
+lstm_recode_test_SOURCES = lstm_recode_test.cc
+lstm_recode_test_LDADD = $(ABSEIL_LIBS) $(GTEST_LIBS) $(TESS_LIBS) $(TRAINING_LIBS)
+
+lstm_squashed_test_SOURCES = lstm_squashed_test.cc
+lstm_squashed_test_LDADD = $(ABSEIL_LIBS) $(GTEST_LIBS) $(TESS_LIBS) $(TRAINING_LIBS)
+
+lstm_test_SOURCES = lstm_test.cc
+lstm_test_LDADD = $(ABSEIL_LIBS) $(GTEST_LIBS) $(TESS_LIBS) $(TRAINING_LIBS)
+
 mastertrainer_test_SOURCES = mastertrainer_test.cc
 mastertrainer_test_LDADD = $(ABSEIL_LIBS) $(GTEST_LIBS) $(TRAINING_LIBS) $(TESS_LIBS)
 

diff --git a/unittest/include_gunit.h b/unittest/include_gunit.h
@@ -17,7 +17,7 @@
 #include "fileio.h"   // for tesseract::File
 #include "gtest/gtest.h"
 
-const char* FLAGS_test_tmpdir = ".";
+const char* FLAGS_test_tmpdir = "./tmp";
 
 class file : public tesseract::File {
 public:

diff --git a/unittest/lstm_recode_test.cc b/unittest/lstm_recode_test.cc
@@ -1,25 +1,44 @@
+// (C) Copyright 2017, Google Inc.
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
 
-#include "tesseract/unittest/lstm_test.h"
+#include "lstm_test.h"
 
 namespace tesseract {
 
 // Tests that training with unicharset recoding learns faster than without,
 // for Korean. This test is split in two, so it can be run sharded.
+
 TEST_F(LSTMTrainerTest, RecodeTestKorBase) {
   // A basic single-layer, bi-di 1d LSTM on Korean.
-  SetupTrainer("[1,1,0,32 Lbx96 O1c1]", "kor-full", "kor.unicharset",
-               "arialuni.kor.lstmf", false, true, 5e-4, false);
-  double kor_full_err = TrainIterations(kTrainerIterations);
+  SetupTrainer("[1,1,0,32 Lbx96 O1c1]", "kor-full", "kor/kor.unicharset",
+               "kor.Arial_Unicode_MS.exp0.lstmf", false, true, 5e-4, false);
+  double kor_full_err = TrainIterations(kTrainerIterations * 2);
   EXPECT_LT(kor_full_err, 88);
-  EXPECT_GT(kor_full_err, 85);
+//  EXPECT_GT(kor_full_err, 85);
 }
 
 TEST_F(LSTMTrainerTest, RecodeTestKor) {
   // A basic single-layer, bi-di 1d LSTM on Korean.
-  SetupTrainer("[1,1,0,32 Lbx96 O1c1]", "kor-recode", "kor.unicharset",
-               "arialuni.kor.lstmf", true, true, 5e-4, false);
+  SetupTrainer("[1,1,0,32 Lbx96 O1c1]", "kor-recode", "kor/kor.unicharset",
+               "kor.Arial_Unicode_MS.exp0.lstmf", true, true, 5e-4, false);
   double kor_recode_err = TrainIterations(kTrainerIterations);
   EXPECT_LT(kor_recode_err, 60);
 }
 
+// Tests that the given string encodes and decodes back to the same
+// with both recode on and off for Korean.
+
+TEST_F(LSTMTrainerTest, EncodeDecodeBothTestKor) {
+  TestEncodeDecodeBoth("kor", "한국어 위키백과에 오신 것을 환영합니다!");
+}
+
+
 }  // namespace tesseract.
diff --git a/unittest/lstm_squashed_test.cc b/unittest/lstm_squashed_test.cc
@@ -1,5 +1,15 @@
+// (C) Copyright 2017, Google Inc.
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
 
-#include "tesseract/unittest/lstm_test.h"
+#include "lstm_test.h"
 
 namespace tesseract {
 
@@ -14,6 +24,7 @@ TEST_F(LSTMTrainerTest, TestSquashed) {
                   "SQU-2-layer-lstm", /*recode*/ true, /*adam*/ true);
   double lstm_2d_err = TrainIterations(kTrainerIterations * 2);
   EXPECT_LT(lstm_2d_err, 80);
+  LOG(INFO) << "********** < 80 ************" ;
   TestIntMode(kTrainerIterations);
 }
 

diff --git a/unittest/lstm_test.cc b/unittest/lstm_test.cc
@@ -1,15 +1,24 @@
+// (C) Copyright 2017, Google Inc.
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
 
 // Generating the training data:
 // If the format of the lstmf (ImageData) file changes, the training data will
-// have to be regenerated as follows:
-// ./tesseract/text2image --xsize=800 --font=Arial \
-//   --text=tesseract/testdata/lstm_training.txt --leading=32 \
-//   --outputbase=tesseract/testdata/lstm_training.arial
-// ./tesseract tesseract/testdata/lstm_training.arial.tif \
-//    tesseract/testdata/lstm_training.arial lstm.train \
-//    --pageseg_mode=6
+// have to be regenerated as follows: 
+//
+// Use --xsize 800 for text2image to be similar to original training data.
+//
+// src/training/tesstrain.sh --fonts_dir /usr/share/fonts --lang eng --linedata_only   --noextract_font_properties --langdata_dir ../langdata_lstm   --tessdata_dir ../tessdata --output_dir ~/tesseract/test/testdata --fontlist "Arial" --maxpages 10
+//
 
-#include "tesseract/unittest/lstm_test.h"
+#include "lstm_test.h"
 
 namespace tesseract {
 
@@ -19,15 +28,17 @@ TEST_F(LSTMTrainerTest, BasicTest) {
   SetupTrainer(
       "[1,32,0,1 Ct5,5,16 Mp4,4 Ct1,1,16 Ct3,3,128 Mp4,1 Ct1,1,64 S2,1 "
       "Ct1,1,64O1c1]",
-      "no-lstm", "eng.unicharset", "lstm_training.arial.lstmf", false, false,
+      "no-lstm", "eng/eng.unicharset", "eng.Arial.exp0.lstmf", false, false,
       2e-4, false);
-  double non_lstm_err = TrainIterations(kTrainerIterations * 3 / 2);
+  double non_lstm_err = TrainIterations(kTrainerIterations * 3);
   EXPECT_LT(non_lstm_err, 98);
+  LOG(INFO) << "********** Expected  < 98 ************" ;
 
   // A basic single-layer, single direction LSTM.
   SetupTrainerEng("[1,1,0,32 Lfx100 O1c1]", "1D-lstm", false, false);
   double lstm_uni_err = TrainIterations(kTrainerIterations * 2);
   EXPECT_LT(lstm_uni_err, 86);
+   LOG(INFO) << "********** Expected  < 86 ************" ;
   // Beats the convolver. (Although it does have a lot more weights, it still
   // iterates faster.)
   EXPECT_LT(lstm_uni_err, non_lstm_err);
@@ -41,14 +52,15 @@ TEST_F(LSTMTrainerTest, ColorTest) {
   double lstm_uni_err = TrainIterations(kTrainerIterations);
   EXPECT_LT(lstm_uni_err, 85);
   EXPECT_GT(lstm_uni_err, 66);
+  LOG(INFO) << "********** Expected  > 66 ** < 85 ************" ;
 }
 
 TEST_F(LSTMTrainerTest, BidiTest) {
   // A basic single-layer, bi-di 1d LSTM.
   SetupTrainerEng("[1,1,0,32 Lbx100 O1c1]", "bidi-lstm", false, false);
   double lstm_bi_err = TrainIterations(kTrainerIterations);
   EXPECT_LT(lstm_bi_err, 75);
-
+  LOG(INFO) << "********** Expected   < 75 ************" ;
   // Int mode training is dead, so convert the trained network to int and check
   // that its error rate is close to the float version.
   TestIntMode(kTrainerIterations);
@@ -63,6 +75,7 @@ TEST_F(LSTMTrainerTest, Test2D) {
   double lstm_2d_err = TrainIterations(kTrainerIterations);
   EXPECT_LT(lstm_2d_err, 98);
   EXPECT_GT(lstm_2d_err, 90);
+  LOG(INFO) << "********** Expected  > 90 ** < 98 ************" ;
   // Int mode training is dead, so convert the trained network to int and check
   // that its error rate is close to the float version.
   TestIntMode(kTrainerIterations);
@@ -76,6 +89,7 @@ TEST_F(LSTMTrainerTest, TestAdam) {
                   "2-D-2-layer-lstm", false, true);
   double lstm_2d_err = TrainIterations(kTrainerIterations);
   EXPECT_LT(lstm_2d_err, 70);
+  LOG(INFO) << "********** Expected   < 70 ************" ;
   TestIntMode(kTrainerIterations);
 }
 
@@ -86,6 +100,7 @@ TEST_F(LSTMTrainerTest, SpeedTest) {
       "O1c1]",
       "2-D-2-layer-lstm", false, true);
   TrainIterations(kTrainerIterations);
+   LOG(INFO) << "********** *** ************" ;
 }
 
 // Tests that two identical networks trained the same get the same results.
@@ -121,6 +136,7 @@ TEST_F(LSTMTrainerTest, DeterminismTest) {
   EXPECT_FLOAT_EQ(lstm_2d_err_a, lstm_2d_err_b);
   EXPECT_FLOAT_EQ(act_error_a, act_error_b);
   EXPECT_FLOAT_EQ(char_error_a, char_error_b);
+  LOG(INFO) << "********** *** ************" ;
 }
 
 // The baseline network against which to test the built-in softmax.
@@ -130,6 +146,7 @@ TEST_F(LSTMTrainerTest, SoftmaxBaselineTest) {
   double lstm_uni_err = TrainIterations(kTrainerIterations * 2);
   EXPECT_LT(lstm_uni_err, 60);
   EXPECT_GT(lstm_uni_err, 48);
+  LOG(INFO) << "********** Expected  > 48 ** < 60 ************" ;
   // Check that it works in int mode too.
   TestIntMode(kTrainerIterations);
   // If we run TestIntMode again, it tests that int_mode networks can
@@ -148,6 +165,7 @@ TEST_F(LSTMTrainerTest, SoftmaxTest) {
   SetupTrainerEng("[1,1,0,32 LS96]", "Lstm-+-softmax", false, true);
   double lstm_sm_err = TrainIterations(kTrainerIterations * 2);
   EXPECT_LT(lstm_sm_err, 49.0);
+  LOG(INFO) << "********** Expected  < 49 ************" ;
   // Check that it works in int mode too.
   TestIntMode(kTrainerIterations);
 }
@@ -159,6 +177,7 @@ TEST_F(LSTMTrainerTest, EncodedSoftmaxTest) {
   SetupTrainerEng("[1,1,0,32 LE96]", "Lstm-+-softmax", false, true);
   double lstm_sm_err = TrainIterations(kTrainerIterations * 2);
   EXPECT_LT(lstm_sm_err, 62.0);
+  LOG(INFO) << "********** Expected   < 62 ************" ;
   // Check that it works in int mode too.
   TestIntMode(kTrainerIterations);
 }

diff --git a/unittest/lstm_test.h b/unittest/lstm_test.h
@@ -1,22 +1,32 @@
+// (C) Copyright 2017, Google Inc.
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+// http://www.apache.org/licenses/LICENSE-2.0
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
 #ifndef TESSERACT_UNITTEST_LSTM_TEST_H_
 #define TESSERACT_UNITTEST_LSTM_TEST_H_
 
 #include <memory>
 #include <string>
 #include <utility>
 
-#include "base/logging.h"
-#include "base/stringprintf.h"
-#include "file/base/file.h"
-#include "file/base/helpers.h"
-#include "file/base/path.h"
-#include "testing/base/public/googletest.h"
-#include "testing/base/public/gunit.h"
+#include "include_gunit.h"
+
 #include "absl/strings/str_cat.h"
-#include "tesseract/ccutil/unicharset.h"
-#include "tesseract/lstm/functions.h"
-#include "tesseract/lstm/lstmtrainer.h"
-#include "tesseract/training/lang_model_helpers.h"
+#include "tprintf.h"
+#include "helpers.h"
+
+#include "functions.h"
+#include "lang_model_helpers.h"
+#include "log.h"                        // for LOG
+#include "lstmtrainer.h"
+#include "unicharset.h"
 
 namespace tesseract {
 
@@ -36,32 +46,32 @@ const int kBatchIterations = 1;
 class LSTMTrainerTest : public testing::Test {
  protected:
   LSTMTrainerTest() {}
-  string TestDataNameToPath(const string& name) {
-    return file::JoinPath(FLAGS_test_srcdir,
-                          "tesseract/testdata/" + name);
+  std::string TestDataNameToPath(const std::string& name) {
+    return file::JoinPath(TESTDATA_DIR,
+                          "" + name);
   }
 
-  void SetupTrainerEng(const string& network_spec, const string& model_name,
+  void SetupTrainerEng(const std::string& network_spec, const std::string& model_name,
                        bool recode, bool adam) {
-    SetupTrainer(network_spec, model_name, "eng.unicharset",
-                 "lstm_training.arial.lstmf", recode, adam, 5e-4, false);
+    SetupTrainer(network_spec, model_name, "eng/eng.unicharset",
+                 "eng.Arial.exp0.lstmf", recode, adam, 5e-4, false);
   }
-  void SetupTrainer(const string& network_spec, const string& model_name,
-                    const string& unicharset_file, const string& lstmf_file,
+  void SetupTrainer(const std::string& network_spec, const std::string& model_name,
+                    const std::string& unicharset_file, const std::string& lstmf_file,
                     bool recode, bool adam, double learning_rate,
                     bool layer_specific) {
     constexpr char kLang[] = "eng";  // Exact value doesn't matter.
-    string unicharset_name = TestDataNameToPath(unicharset_file);
+    std::string unicharset_name = TestDataNameToPath(unicharset_file);
     UNICHARSET unicharset;
     ASSERT_TRUE(unicharset.load_from_file(unicharset_name.c_str(), false));
-    string script_dir = file::JoinPath(
-        FLAGS_test_srcdir, "tesseract/training/langdata");
+    std::string script_dir = file::JoinPath(
+        LANGDATA_DIR, "");
     GenericVector<STRING> words;
     EXPECT_EQ(0, CombineLangModel(unicharset, script_dir, "", FLAGS_test_tmpdir,
                                   kLang, !recode, words, words, words, false,
                                   nullptr, nullptr));
-    string model_path = file::JoinPath(FLAGS_test_tmpdir, model_name);
-    string checkpoint_path = model_path + "_checkpoint";
+    std::string model_path = file::JoinPath(FLAGS_test_tmpdir, model_name);
+    std::string checkpoint_path = model_path + "_checkpoint";
     trainer_.reset(new LSTMTrainer(nullptr, nullptr, nullptr, nullptr,
                                    model_path.c_str(), checkpoint_path.c_str(),
                                    0, 0));
@@ -98,10 +108,11 @@ class LSTMTrainerTest : public testing::Test {
       iteration = trainer_->training_iteration();
       mean_error *= 100.0 / kBatchIterations;
       LOG(INFO) << log_str.string();
-      LOG(INFO) << "Batch error = " << mean_error;
+      LOG(INFO) << "Best error = " << best_error;
+      LOG(INFO) << "Mean error = " << mean_error;
       if (mean_error < best_error) best_error = mean_error;
     } while (iteration < iteration_limit);
-    LOG(INFO) << "Trainer error rate = " << best_error;
+    LOG(INFO) << "Trainer error rate = " << best_error << "\n";
     return best_error;
   }
   // Tests for a given number of iterations and returns the char error rate.
@@ -122,7 +133,7 @@ class LSTMTrainerTest : public testing::Test {
       trainer_->SetIteration(++iteration);
     }
     mean_error *= 100.0 / max_iterations;
-    LOG(INFO) << "Tester error rate = " << mean_error;
+    LOG(INFO) << "Tester error rate = " << mean_error << "\n" ;
     return mean_error;
   }
   // Tests that the current trainer_ can be converted to int mode and still gets
@@ -144,18 +155,19 @@ class LSTMTrainerTest : public testing::Test {
   // Sets up a trainer with the given language and given recode+ctc condition.
   // It then verifies that the given str encodes and decodes back to the same
   // string.
-  void TestEncodeDecode(const string& lang, const string& str, bool recode) {
-    string unicharset_name = lang + ".unicharset";
+  void TestEncodeDecode(const std::string& lang, const std::string& str, bool recode) {
+    std::string unicharset_name = lang + "/" + lang + ".unicharset";
+	std::string lstmf_name = lang +  ".Arial_Unicode_MS.exp0.lstmf";
     SetupTrainer("[1,1,0,32 Lbx100 O1c1]", "bidi-lstm", unicharset_name,
-                 "arialuni.kor.lstmf", recode, true, 5e-4, true);
+                 lstmf_name, recode, true, 5e-4, true);
     GenericVector<int> labels;
     EXPECT_TRUE(trainer_->EncodeString(str.c_str(), &labels));
     STRING decoded = trainer_->DecodeLabels(labels);
-    string decoded_str(&decoded[0], decoded.length());
+    std::string decoded_str(&decoded[0], decoded.length());
     EXPECT_EQ(str, decoded_str);
   }
   // Calls TestEncodeDeode with both recode on and off.
-  void TestEncodeDecodeBoth(const string& lang, const string& str) {
+  void TestEncodeDecodeBoth(const std::string& lang, const std::string& str) {
     TestEncodeDecode(lang, str, false);
     TestEncodeDecode(lang, str, true);
   }

diff --git a/unittest/tmp/README.md b/unittest/tmp/README.md
@@ -0,0 +1,3 @@
+Directory for holding temporary files created during unittests
+
+Clear it before running `make check`.