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95 lines
4.1 KiB
C++
95 lines
4.1 KiB
C++
///////////////////////////////////////////////////////////////////////
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// File: lstmtester.h
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// Description: Top-level line evaluation class for LSTM-based networks.
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// Author: Ray Smith
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// Created: Wed Nov 23 11:05:06 PST 2016
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//
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// (C) Copyright 2016, 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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///////////////////////////////////////////////////////////////////////
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#ifndef TESSERACT_TRAINING_LSTMTESTER_H_
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#define TESSERACT_TRAINING_LSTMTESTER_H_
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#include "genericvector.h"
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#include "lstmtrainer.h"
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#include "strngs.h"
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#include "svutil.h"
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namespace tesseract {
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class LSTMTester {
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public:
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LSTMTester(inT64 max_memory);
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// Loads a set of lstmf files that were created using the lstm.train config to
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// tesseract into memory ready for testing. Returns false if nothing was
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// loaded. The arg is a filename of a file that lists the filenames, with one
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// name per line. Conveniently, tesstrain.sh generates such a file, along
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// with the files themselves.
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bool LoadAllEvalData(const STRING& filenames_file);
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// Loads a set of lstmf files that were created using the lstm.train config to
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// tesseract into memory ready for testing. Returns false if nothing was
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// loaded.
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bool LoadAllEvalData(const GenericVector<STRING>& filenames);
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// Runs an evaluation asynchronously on the stored eval data and returns a
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// string describing the results of the previous test. Args match TestCallback
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// declared in lstmtrainer.h:
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// iteration: Current learning iteration number.
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// training_errors: If not null, is an array of size ET_COUNT, indexed by
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// the ErrorTypes enum and indicates the current errors measured by the
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// trainer, and this is a serious request to run an evaluation. If null,
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// then the caller is just polling for the results of the previous eval.
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// model_data: is the model to evaluate, which should be a serialized
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// LSTMTrainer.
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// training_stage: an arbitrary number on the progress of training.
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STRING RunEvalAsync(int iteration, const double* training_errors,
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const GenericVector<char>& model_data,
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int training_stage);
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// Runs an evaluation synchronously on the stored eval data and returns a
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// string describing the results. Args as RunEvalAsync.
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STRING RunEvalSync(int iteration, const double* training_errors,
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const GenericVector<char>& model_data, int training_stage);
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private:
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// Static helper thread function for RunEvalAsync, with a specific signature
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// required by SVSync::StartThread. Actually a member function pretending to
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// be static, its arg is a this pointer that it will cast back to LSTMTester*
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// to call RunEvalSync using the stored args that RunEvalAsync saves in *this.
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// LockIfNotRunning must have returned true before calling ThreadFunc, and
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// it will call UnlockRunning to release the lock after RunEvalSync completes.
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static void* ThreadFunc(void* lstmtester_void);
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// Returns true if there is currently nothing running, and takes the lock
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// if there is nothing running.
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bool LockIfNotRunning();
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// Releases the running lock.
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void UnlockRunning();
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// The data to test with.
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DocumentCache test_data_;
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int total_pages_;
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// Flag that indicates an asynchronous test is currently running.
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// Protected by running_mutex_.
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bool async_running_;
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SVMutex running_mutex_;
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// Stored copies of the args for use while running asynchronously.
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int test_iteration_;
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const double* test_training_errors_;
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GenericVector<char> test_model_data_;
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int test_training_stage_;
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STRING test_result_;
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};
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} // namespace tesseract
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#endif // TESSERACT_TRAINING_LSTMTESTER_H_
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