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https://github.com/tesseract-ocr/tesseract.git
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94 lines
2.6 KiB
C++
94 lines
2.6 KiB
C++
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/**********************************************************************
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* File: callnet.cpp (Formerly callnet.c)
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* Description: Interface to Neural Net matcher
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* Author: Phil Cheatle
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* Created: Wed Nov 18 10:35:00 GMT 1992
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*
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* (C) Copyright 1992, Hewlett-Packard Ltd.
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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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**********************************************************************/
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#include "mfcpch.h"
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#include "errcode.h"
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//#include "nmatch.h"
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#include "globals.h"
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#define OUTPUT_NODES 94
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const ERRCODE NETINIT = "NN init error";
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//extern "C"
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//{
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//extern char* demodir; /* where program lives */
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void init_net() { /* Initialise net */
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#ifdef ASPIRIN_INCLUDED
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char wts_filename[256];
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if (nmatch_init_network () != 0) {
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NETINIT.error ("Init_net", EXIT, "Errcode %s", nmatch_error_string ());
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}
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strcpy(wts_filename, demodir);
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strcat (wts_filename, "tessdata/netwts");
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if (nmatch_load_network (wts_filename) != 0) {
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NETINIT.error ("Init_net", EXIT, "Weights failed, Errcode %s",
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nmatch_error_string ());
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}
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#endif
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}
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void callnet( /* Apply image to net */
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float *input_vector,
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char *top,
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float *top_score,
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char *next,
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float *next_score) {
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#ifdef ASPIRIN_INCLUDED
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float *output_vector;
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int i;
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int max_out_i = 0;
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int next_max_out_i = 0;
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float max_out = -9;
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float next_max_out = -9;
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nmatch_set_input(input_vector);
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nmatch_propagate_forward();
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output_vector = nmatch_get_output ();
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/* Now find top two choices */
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for (i = 0; i < OUTPUT_NODES; i++) {
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if (output_vector[i] > max_out) {
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next_max_out = max_out;
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max_out = output_vector[i];
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next_max_out_i = max_out_i;
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max_out_i = i;
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}
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else {
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if (output_vector[i] > next_max_out) {
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next_max_out = output_vector[i];
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next_max_out_i = i;
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}
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}
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}
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*top = max_out_i + '!';
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*next = next_max_out_i + '!';
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*top_score = max_out;
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*next_score = next_max_out;
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#endif
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}
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//};
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