mirror/opencv
1
0
Fork 0
mirror of https://github.com/opencv/opencv.git synced 2025-01-18 06:03:15 +08:00
Code Issues Actions Packages Projects Releases Wiki Activity

fixed build issue (MSVC2010, x64)

Browse Source
This commit is contained in:
Vladimir Dudnik 2011-04-15 19:46:45 +00:00
parent a811a08d0d
commit 26d348a5b7
1 changed files with 17 additions and 13 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
samples/cpp/letter_recog.cpp
View File

@ -519,9 +519,9 @@ int build_knearest_classifier( char* data_filename, int K )
CvKNearest knearest(&train_data, train_resp);
CvMat* nearests = cvCreateMat( (nsamples_all - ntrain_samples), K, CV_32FC1);
float _sample[var_count * (nsamples_all - ntrain_samples)];
float* _sample = new float[var_count * (nsamples_all - ntrain_samples)];
CvMat sample = cvMat( nsamples_all - ntrain_samples, 16, CV_32FC1, _sample );
float true_results[nsamples_all - ntrain_samples];
float* true_results = new float[nsamples_all - ntrain_samples];
for (int j = ntrain_samples; j < nsamples_all; j++)
{
float *s = data->data.fl + j * var_count;
@ -550,6 +550,8 @@ int build_knearest_classifier( char* data_filename, int K )
printf("true_resp = %f%%\tavg accuracy = %f%%\n", (float)true_resp / (nsamples_all - ntrain_samples) * 100,
(float)accuracy / (nsamples_all - ntrain_samples) / K * 100);
delete[] true_results;
delete[] _sample;
cvReleaseMat( &train_resp );
cvReleaseMat( &nearests );
cvReleaseMat( &result );
@ -593,9 +595,9 @@ int build_nbayes_classifier( char* data_filename )
train_resp->data.fl[i] = responses->data.fl[i];
CvNormalBayesClassifier nbayes(&train_data, train_resp);
float _sample[var_count * (nsamples_all - ntrain_samples)];
float* _sample = new float[var_count * (nsamples_all - ntrain_samples)];
CvMat sample = cvMat( nsamples_all - ntrain_samples, 16, CV_32FC1, _sample );
float true_results[nsamples_all - ntrain_samples];
float* true_results = new float[nsamples_all - ntrain_samples];
for (int j = ntrain_samples; j < nsamples_all; j++)
{
float *s = data->data.fl + j * var_count;
@ -618,6 +620,8 @@ int build_nbayes_classifier( char* data_filename )
printf("true_resp = %f%%\n", (float)true_resp / (nsamples_all - ntrain_samples) * 100);
delete[] true_results;
delete[] _sample;
cvReleaseMat( &train_resp );
cvReleaseMat( &result );
cvReleaseMat( &data );