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Merge pull request #18604 from vrabaud:master
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commit
c84d2cb32a
@ -82,7 +82,7 @@ struct index_creator
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nnIndex = new LshIndex<Distance>(dataset, params, distance);
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break;
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default:
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throw FLANNException("Unknown index type");
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FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
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}
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return nnIndex;
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@ -111,7 +111,7 @@ struct index_creator<False,VectorSpace,Distance>
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nnIndex = new LshIndex<Distance>(dataset, params, distance);
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break;
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default:
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throw FLANNException("Unknown index type");
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FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
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}
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return nnIndex;
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@ -140,7 +140,7 @@ struct index_creator<False,False,Distance>
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nnIndex = new LshIndex<Distance>(dataset, params, distance);
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break;
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default:
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throw FLANNException("Unknown index type");
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FLANN_THROW(cv::Error::StsBadArg, "Unknown index type");
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}
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return nnIndex;
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@ -34,7 +34,6 @@
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#include <sstream>
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#include "general.h"
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#include "nn_index.h"
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#include "ground_truth.h"
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#include "index_testing.h"
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@ -33,7 +33,6 @@
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//! @cond IGNORED
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#include "general.h"
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#include "nn_index.h"
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#include "kdtree_index.h"
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#include "kmeans_index.h"
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@ -82,11 +82,11 @@ NNIndex<Distance>* load_saved_index(const Matrix<typename Distance::ElementType>
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IndexHeader header = load_header(fin);
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if (header.data_type != Datatype<ElementType>::type()) {
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fclose(fin);
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throw FLANNException("Datatype of saved index is different than of the one to be created.");
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FLANN_THROW(cv::Error::StsError, "Datatype of saved index is different than of the one to be created.");
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}
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if ((size_t(header.rows) != dataset.rows)||(size_t(header.cols) != dataset.cols)) {
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fclose(fin);
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throw FLANNException("The index saved belongs to a different dataset");
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FLANN_THROW(cv::Error::StsError, "The index saved belongs to a different dataset");
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}
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IndexParams params;
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@ -140,7 +140,7 @@ public:
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{
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FILE* fout = fopen(filename.c_str(), "wb");
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if (fout == NULL) {
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throw FLANNException("Cannot open file");
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FLANN_THROW(cv::Error::StsError, "Cannot open file");
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}
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save_header(fout, *nnIndex_);
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saveIndex(fout);
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@ -31,6 +31,8 @@
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#ifndef OPENCV_FLANN_GENERAL_H_
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#define OPENCV_FLANN_GENERAL_H_
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#if CV_VERSION_MAJOR <= 4
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//! @cond IGNORED
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#include "opencv2/core.hpp"
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@ -48,6 +50,14 @@ public:
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}
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#define FLANN_THROW(TYPE, STR) throw FLANNException(STR)
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#else
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#define FLANN_THROW(TYPE, STR) CV_Error(TYPE, STR)
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#endif
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//! @endcond
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#endif /* OPENCV_FLANN_GENERAL_H_ */
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@ -382,7 +382,7 @@ public:
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chooseCenters = &HierarchicalClusteringIndex::GroupWiseCenterChooser;
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}
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else {
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throw FLANNException("Unknown algorithm for choosing initial centers.");
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FLANN_THROW(cv::Error::StsError, "Unknown algorithm for choosing initial centers.");
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}
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root = new NodePtr[trees_];
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@ -446,7 +446,7 @@ public:
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void buildIndex() CV_OVERRIDE
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{
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if (branching_<2) {
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throw FLANNException("Branching factor must be at least 2");
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FLANN_THROW(cv::Error::StsError, "Branching factor must be at least 2");
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}
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free_indices();
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@ -93,7 +93,7 @@ float search_with_ground_truth(NNIndex<Distance>& index, const Matrix<typename D
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if (matches.cols<size_t(nn)) {
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Logger::info("matches.cols=%d, nn=%d\n",matches.cols,nn);
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throw FLANNException("Ground truth is not computed for as many neighbors as requested");
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FLANN_THROW(cv::Error::StsError, "Ground truth is not computed for as many neighbors as requested");
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}
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KNNResultSet<DistanceType> resultSet(nn+skipMatches);
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@ -37,7 +37,6 @@
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#include <map>
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#include <cstring>
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#include "general.h"
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#include "nn_index.h"
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#include "dynamic_bitset.h"
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#include "matrix.h"
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@ -37,7 +37,6 @@
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#include <map>
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#include <cstring>
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#include "general.h"
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#include "nn_index.h"
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#include "matrix.h"
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#include "result_set.h"
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@ -381,7 +381,7 @@ public:
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chooseCenters = &KMeansIndex::chooseCentersKMeanspp;
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}
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else {
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throw FLANNException("Unknown algorithm for choosing initial centers.");
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FLANN_THROW(cv::Error::StsBadArg, "Unknown algorithm for choosing initial centers.");
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}
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cb_index_ = 0.4f;
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@ -453,7 +453,7 @@ public:
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void buildIndex() CV_OVERRIDE
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{
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if (branching_<2) {
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throw FLANNException("Branching factor must be at least 2");
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FLANN_THROW(cv::Error::StsError, "Branching factor must be at least 2");
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}
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free_indices();
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@ -570,7 +570,7 @@ public:
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{
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int numClusters = centers.rows;
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if (numClusters<1) {
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throw FLANNException("Number of clusters must be at least 1");
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FLANN_THROW(cv::Error::StsBadArg, "Number of clusters must be at least 1");
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}
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DistanceType variance;
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@ -33,7 +33,6 @@
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//! @cond IGNORED
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#include "general.h"
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#include "nn_index.h"
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namespace cvflann
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@ -42,7 +42,6 @@
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#include <map>
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#include <vector>
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#include "general.h"
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#include "nn_index.h"
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#include "matrix.h"
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#include "result_set.h"
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@ -35,8 +35,6 @@
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#include <stdio.h>
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#include "general.h"
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namespace cvflann
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{
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@ -31,7 +31,6 @@
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#ifndef OPENCV_FLANN_NNINDEX_H
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#define OPENCV_FLANN_NNINDEX_H
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#include "general.h"
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#include "matrix.h"
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#include "result_set.h"
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#include "params.h"
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@ -77,7 +77,7 @@ T get_param(const IndexParams& params, cv::String name)
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return it->second.cast<T>();
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}
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else {
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throw FLANNException(cv::String("Missing parameter '")+name+cv::String("' in the parameters given"));
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FLANN_THROW(cv::Error::StsBadArg, cv::String("Missing parameter '")+name+cv::String("' in the parameters given"));
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}
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}
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@ -37,8 +37,6 @@
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#include <cstdlib>
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#include <vector>
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#include "general.h"
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namespace cvflann
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{
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@ -112,11 +112,11 @@ inline IndexHeader load_header(FILE* stream)
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size_t read_size = fread(&header,sizeof(header),1,stream);
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if (read_size!=(size_t)1) {
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throw FLANNException("Invalid index file, cannot read");
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FLANN_THROW(cv::Error::StsError, "Invalid index file, cannot read");
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}
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if (strcmp(header.signature,FLANN_SIGNATURE_)!=0) {
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throw FLANNException("Invalid index file, wrong signature");
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FLANN_THROW(cv::Error::StsError, "Invalid index file, wrong signature");
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}
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return header;
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@ -150,7 +150,7 @@ void load_value(FILE* stream, T& value, size_t count = 1)
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{
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size_t read_cnt = fread(&value, sizeof(value), count, stream);
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if (read_cnt != count) {
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throw FLANNException("Cannot read from file");
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FLANN_THROW(cv::Error::StsParseError, "Cannot read from file");
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}
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}
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@ -159,12 +159,12 @@ void load_value(FILE* stream, cvflann::Matrix<T>& value)
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{
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size_t read_cnt = fread(&value, sizeof(value), 1, stream);
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if (read_cnt != 1) {
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throw FLANNException("Cannot read from file");
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FLANN_THROW(cv::Error::StsParseError, "Cannot read from file");
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}
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value.data = new T[value.rows*value.cols];
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read_cnt = fread(value.data, sizeof(T), value.rows*value.cols, stream);
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if (read_cnt != (size_t)(value.rows*value.cols)) {
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throw FLANNException("Cannot read from file");
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FLANN_THROW(cv::Error::StsParseError, "Cannot read from file");
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}
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}
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@ -175,12 +175,12 @@ void load_value(FILE* stream, std::vector<T>& value)
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size_t size;
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size_t read_cnt = fread(&size, sizeof(size_t), 1, stream);
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if (read_cnt!=1) {
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throw FLANNException("Cannot read from file");
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FLANN_THROW(cv::Error::StsError, "Cannot read from file");
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}
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value.resize(size);
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read_cnt = fread(&value[0], sizeof(T), size, stream);
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if (read_cnt != size) {
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throw FLANNException("Cannot read from file");
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FLANN_THROW(cv::Error::StsError, "Cannot read from file");
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}
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}
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@ -13,7 +13,6 @@
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#include "opencv2/flann/index_testing.h"
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#include "opencv2/flann/params.h"
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#include "opencv2/flann/saving.h"
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#include "opencv2/flann/general.h"
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// index types
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#include "opencv2/flann/all_indices.h"
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