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https://github.com/opencv/opencv_contrib.git
synced 2025-10-19 02:16:34 +08:00
Removed some asserts
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@@ -236,10 +236,10 @@ class CV_EXPORTS_W BinaryDescriptor : public Algorithm
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int OctaveKeyLines( cv::Mat& image, ScaleLines &keyLines );
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/* the local gaussian coefficient applied to the orthogonal line direction within each band */
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std::vector<float> gaussCoefL_;
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std::vector<double> gaussCoefL_;
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/* the global gaussian coefficient applied to each row within line support region */
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std::vector<float> gaussCoefG_;
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std::vector<double> gaussCoefG_;
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/* descriptor parameters */
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Params params;
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@@ -209,7 +209,7 @@ void BinaryDescriptor::operator()( InputArray image, InputArray mask, CV_OUT std
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maskMat = mask.getMat();
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/* initialize output matrix */
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descriptors.create( Size( 32, keylines.size() ), CV_8UC1 );
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descriptors.create( Size( 32, (int) keylines.size() ), CV_8UC1 );
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/* store reference to output matrix */
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descrMat = descriptors.getMat();
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@@ -260,12 +260,11 @@ int BinaryDescriptor::descriptorSize() const
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static inline int get2Pow( int i )
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{
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if( i >= 0 && i <= 7 )
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return pow( 2, (double) i );
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return (int) pow( 2, (double) i );
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else
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{
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CV_Assert( false );
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return -1;
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throw std::runtime_error( "Invalid power argument" );
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}
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}
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@@ -276,7 +275,7 @@ unsigned char BinaryDescriptor::binaryConversion( float* f1, float* f2 )
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for ( int i = 0; i < 8; i++ )
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{
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if( f1[i] > f2[i] )
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result += get2Pow( i );
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result += (uchar) get2Pow( i );
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}
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return result;
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@@ -287,12 +286,7 @@ unsigned char BinaryDescriptor::binaryConversion( float* f1, float* f2 )
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void BinaryDescriptor::detect( const Mat& image, CV_OUT std::vector<KeyLine>& keylines, const Mat& mask )
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{
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if( mask.data != NULL && ( mask.size() != image.size() || mask.type() != CV_8UC1 ) )
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{
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std::cout << "Mask error while detecting lines: " << "please check its dimensions and that data type is CV_8UC1" << std::endl;
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CV_Assert( false );
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}
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throw std::runtime_error( "Mask error while detecting lines: please check its dimensions and that data type is CV_8UC1" );
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else
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detectImpl( image, keylines, mask );
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@@ -305,14 +299,10 @@ void BinaryDescriptor::detect( const std::vector<Mat>& images, std::vector<std::
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for ( size_t counter = 0; counter < images.size(); counter++ )
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{
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if( masks[counter].data != NULL && ( masks[counter].size() != images[counter].size() || masks[counter].type() != CV_8UC1 ) )
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{
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throw std::runtime_error( "Masks error while detecting lines: please check their dimensions and that data types are CV_8UC1" );
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std::cout << "Masks error while detecting lines: " << "please check their dimensions and that data types are CV_8UC1" << std::endl;
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CV_Assert( false );
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}
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detectImpl( images[counter], keylines[counter], masks[counter] );
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else
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detectImpl( images[counter], keylines[counter], masks[counter] );
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}
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}
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@@ -327,10 +317,7 @@ void BinaryDescriptor::detectImpl( const Mat& imageSrc, std::vector<KeyLine>& ke
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/*check whether image depth is different from 0 */
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if( image.depth() != 0 )
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{
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std::cout << "Warning, depth image!= 0" << std::endl;
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CV_Assert( false );
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}
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throw std::runtime_error( "Warning, depth image!= 0" );
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/* create a pointer to self */
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BinaryDescriptor *bn = const_cast<BinaryDescriptor*>( this );
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@@ -415,10 +402,7 @@ void BinaryDescriptor::computeImpl( const Mat& imageSrc, std::vector<KeyLine>& k
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/*check whether image's depth is different from 0 */
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if( image.depth() != 0 )
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{
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std::cout << "Error, depth of image != 0" << std::endl;
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CV_Assert( false );
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}
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throw std::runtime_error( "Error, depth of image != 0" );
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/* keypoints list can't be empty */
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if( keylines.size() == 0 )
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@@ -60,6 +60,7 @@
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#include <algorithm>
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#include <bitset>
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#include <time.h>
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#include <stdexcept>
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#include "opencv2/line_descriptor.hpp"
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