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Merge pull request #17925 from sturkmen72:patch-2
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commit
6697f0ea86
@ -74,9 +74,9 @@ void load_images( const String & dirname, vector< Mat > & img_lst, bool showImag
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for ( size_t i = 0; i < files.size(); ++i )
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for ( size_t i = 0; i < files.size(); ++i )
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{
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{
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Mat img = imread( files[i] ); // load the image
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Mat img = imread( files[i] ); // load the image
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if ( img.empty() ) // invalid image, skip it.
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if ( img.empty() )
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{
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{
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cout << files[i] << " is invalid!" << endl;
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cout << files[i] << " is invalid!" << endl; // invalid image, skip it.
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continue;
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continue;
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}
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}
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@ -95,16 +95,13 @@ void sample_neg( const vector< Mat > & full_neg_lst, vector< Mat > & neg_lst, co
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box.width = size.width;
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box.width = size.width;
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box.height = size.height;
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box.height = size.height;
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const int size_x = box.width;
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const int size_y = box.height;
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srand( (unsigned int)time( NULL ) );
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srand( (unsigned int)time( NULL ) );
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for ( size_t i = 0; i < full_neg_lst.size(); i++ )
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for ( size_t i = 0; i < full_neg_lst.size(); i++ )
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if ( full_neg_lst[i].cols > box.width && full_neg_lst[i].rows > box.height )
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if ( full_neg_lst[i].cols > box.width && full_neg_lst[i].rows > box.height )
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{
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{
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box.x = rand() % ( full_neg_lst[i].cols - size_x );
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box.x = rand() % ( full_neg_lst[i].cols - box.width );
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box.y = rand() % ( full_neg_lst[i].rows - size_y );
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box.y = rand() % ( full_neg_lst[i].rows - box.height );
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Mat roi = full_neg_lst[i]( box );
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Mat roi = full_neg_lst[i]( box );
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neg_lst.push_back( roi.clone() );
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neg_lst.push_back( roi.clone() );
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}
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}
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@ -259,7 +256,7 @@ int main( int argc, char** argv )
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load_images( pos_dir, pos_lst, visualization );
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load_images( pos_dir, pos_lst, visualization );
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if ( pos_lst.size() > 0 )
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if ( pos_lst.size() > 0 )
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{
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{
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clog << "...[done]" << endl;
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clog << "...[done] " << pos_lst.size() << " files." << endl;
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}
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}
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else
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else
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{
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{
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@ -287,22 +284,25 @@ int main( int argc, char** argv )
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}
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}
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clog << "Negative images are being loaded...";
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clog << "Negative images are being loaded...";
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load_images( neg_dir, full_neg_lst, false );
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load_images( neg_dir, full_neg_lst, visualization );
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clog << "...[done] " << full_neg_lst.size() << " files." << endl;
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clog << "Negative images are being processed...";
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sample_neg( full_neg_lst, neg_lst, pos_image_size );
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sample_neg( full_neg_lst, neg_lst, pos_image_size );
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clog << "...[done]" << endl;
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clog << "...[done] " << neg_lst.size() << " files." << endl;
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clog << "Histogram of Gradients are being calculated for positive images...";
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clog << "Histogram of Gradients are being calculated for positive images...";
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computeHOGs( pos_image_size, pos_lst, gradient_lst, flip_samples );
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computeHOGs( pos_image_size, pos_lst, gradient_lst, flip_samples );
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size_t positive_count = gradient_lst.size();
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size_t positive_count = gradient_lst.size();
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labels.assign( positive_count, +1 );
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labels.assign( positive_count, +1 );
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clog << "...[done] ( positive count : " << positive_count << " )" << endl;
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clog << "...[done] ( positive images count : " << positive_count << " )" << endl;
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clog << "Histogram of Gradients are being calculated for negative images...";
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clog << "Histogram of Gradients are being calculated for negative images...";
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computeHOGs( pos_image_size, neg_lst, gradient_lst, flip_samples );
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computeHOGs( pos_image_size, neg_lst, gradient_lst, flip_samples );
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size_t negative_count = gradient_lst.size() - positive_count;
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size_t negative_count = gradient_lst.size() - positive_count;
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labels.insert( labels.end(), negative_count, -1 );
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labels.insert( labels.end(), negative_count, -1 );
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CV_Assert( positive_count < labels.size() );
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CV_Assert( positive_count < labels.size() );
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clog << "...[done] ( negative count : " << negative_count << " )" << endl;
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clog << "...[done] ( negative images count : " << negative_count << " )" << endl;
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Mat train_data;
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Mat train_data;
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convert_to_ml( gradient_lst, train_data );
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convert_to_ml( gradient_lst, train_data );
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@ -324,7 +324,7 @@ int main( int argc, char** argv )
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if ( train_twice )
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if ( train_twice )
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{
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{
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clog << "Testing trained detector on negative images. This may take a few minutes...";
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clog << "Testing trained detector on negative images. This might take a few minutes...";
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HOGDescriptor my_hog;
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HOGDescriptor my_hog;
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my_hog.winSize = pos_image_size;
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my_hog.winSize = pos_image_size;
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