diff options
Diffstat (limited to 'meta-openembedded/meta-oe/recipes-support/opencv/opencv/already-exists.patch')
-rw-r--r-- | meta-openembedded/meta-oe/recipes-support/opencv/opencv/already-exists.patch | 394 |
1 files changed, 394 insertions, 0 deletions
diff --git a/meta-openembedded/meta-oe/recipes-support/opencv/opencv/already-exists.patch b/meta-openembedded/meta-oe/recipes-support/opencv/opencv/already-exists.patch new file mode 100644 index 000000000..6e24f2de8 --- /dev/null +++ b/meta-openembedded/meta-oe/recipes-support/opencv/opencv/already-exists.patch @@ -0,0 +1,394 @@ +From e4bf148cddf277834e57c9afeec8daff8378a655 Mon Sep 17 00:00:00 2001 +From: Ricardo Ribalda Delgado <ricardo.ribalda@gmail.com> +Date: Wed, 22 Nov 2017 15:27:07 +0100 +Subject: [PATCH] Fix: File already exists in database: caffe.proto + +Fixes error when importing python cv + +Upstream-status: Backport https://github.com/opencv/opencv/pull/10092 +Signed-off-by: Ricardo Ribalda Delgado <ricardo.ribalda@gmail.com> +--- + modules/dnn/CMakeLists.txt | 6 +++--- + modules/dnn/src/caffe/caffe_importer.cpp | 1 - + modules/dnn/src/caffe/caffe_io.cpp | 1 - + modules/dnn/src/caffe/caffe_io.hpp | 2 +- + modules/dnn/src/caffe/{caffe.proto => opencv-caffe.proto} | 0 + 5 files changed, 4 insertions(+), 6 deletions(-) + rename modules/dnn/src/caffe/{caffe.proto => opencv-caffe.proto} (100%) + +diff --git a/modules/dnn/CMakeLists.txt b/modules/dnn/CMakeLists.txt +index c6329a742263..8ef00ef983ff 100644 +--- a/modules/dnn/CMakeLists.txt ++++ b/modules/dnn/CMakeLists.txt +@@ -55,13 +55,13 @@ ocv_warnings_disable(CMAKE_CXX_FLAGS + + if(PROTOBUF_UPDATE_FILES) + file(GLOB proto_files src/tensorflow/*.proto) +- list(APPEND proto_files src/caffe/caffe.proto) ++ list(APPEND proto_files src/caffe/opencv-caffe.proto) + PROTOBUF_GENERATE_CPP(Protobuf_HDRS Protobuf_SRCS ${proto_files}) + else() + file(GLOB fw_srcs ${CMAKE_CURRENT_SOURCE_DIR}/misc/tensorflow/*.cc) + file(GLOB fw_hdrs ${CMAKE_CURRENT_SOURCE_DIR}/misc/tensorflow/*.h) +- list(APPEND fw_srcs ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe/caffe.pb.cc) +- list(APPEND fw_hdrs ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe/caffe.pb.h) ++ list(APPEND fw_srcs ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe/opencv-caffe.pb.cc) ++ list(APPEND fw_hdrs ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe/opencv-caffe.pb.h) + list(APPEND Protobuf_SRCS ${fw_srcs}) + list(APPEND Protobuf_HDRS ${fw_hdrs}) + list(APPEND Protobuf_INCLUDE_DIRS ${CMAKE_CURRENT_SOURCE_DIR}/misc/caffe) +diff --git a/modules/dnn/src/caffe/caffe_importer.cpp b/modules/dnn/src/caffe/caffe_importer.cpp +index c075651b95b3..2c977c84b0f4 100644 +--- a/modules/dnn/src/caffe/caffe_importer.cpp ++++ b/modules/dnn/src/caffe/caffe_importer.cpp +@@ -42,7 +42,6 @@ + #include "../precomp.hpp" + + #ifdef HAVE_PROTOBUF +-#include "caffe.pb.h" + + #include <iostream> + #include <fstream> +diff --git a/modules/dnn/src/caffe/caffe_io.cpp b/modules/dnn/src/caffe/caffe_io.cpp +index 0f46ea77df9a..1d3c518f1328 100644 +--- a/modules/dnn/src/caffe/caffe_io.cpp ++++ b/modules/dnn/src/caffe/caffe_io.cpp +@@ -99,7 +99,6 @@ + #include <fstream> + #include <vector> + +-#include "caffe.pb.h" + #include "caffe_io.hpp" + #include "glog_emulator.hpp" + +diff --git a/modules/dnn/src/caffe/caffe_io.hpp b/modules/dnn/src/caffe/caffe_io.hpp +index 09bc5709a24e..f5912c3bcec1 100644 +--- a/modules/dnn/src/caffe/caffe_io.hpp ++++ b/modules/dnn/src/caffe/caffe_io.hpp +@@ -91,7 +91,7 @@ + #define __OPENCV_DNN_CAFFE_IO_HPP__ + #ifdef HAVE_PROTOBUF + +-#include "caffe.pb.h" ++#include "opencv-caffe.pb.h" + + namespace cv { + namespace dnn { +diff --git a/modules/dnn/src/caffe/caffe.proto b/modules/dnn/src/caffe/opencv-caffe.proto +similarity index 100% +rename from modules/dnn/src/caffe/caffe.proto +rename to modules/dnn/src/caffe/opencv-caffe.proto +diff --git a/modules/dnn/src/layers/detection_output_layer.cpp b/modules/dnn/src/layers/detection_output_layer.cpp +index 0b72326f7e7d..f413bad5b81a 100644 +--- a/modules/dnn/src/layers/detection_output_layer.cpp ++++ b/modules/dnn/src/layers/detection_output_layer.cpp +@@ -44,7 +44,7 @@ + #include "layers_common.hpp" + #include <float.h> + #include <string> +-#include <caffe.pb.h> ++#include <opencv-caffe.pb.h> + + namespace cv + { +diff --git a/modules/dnn/src/caffe/caffe_importer.cpp b/modules/dnn/src/caffe/caffe_importer.cpp +index 2c977c84b0f4..a1827a381117 100644 +--- a/modules/dnn/src/caffe/caffe_importer.cpp ++++ b/modules/dnn/src/caffe/caffe_importer.cpp +@@ -78,8 +78,8 @@ static cv::String toString(const T &v) + + class CaffeImporter : public Importer + { +- caffe::NetParameter net; +- caffe::NetParameter netBinary; ++ opencvcaffe::NetParameter net; ++ opencvcaffe::NetParameter netBinary; + + public: + +@@ -197,7 +197,7 @@ public: + } + } + +- void blobShapeFromProto(const caffe::BlobProto &pbBlob, MatShape& shape) ++ void blobShapeFromProto(const opencvcaffe::BlobProto &pbBlob, MatShape& shape) + { + shape.clear(); + if (pbBlob.has_num() || pbBlob.has_channels() || pbBlob.has_height() || pbBlob.has_width()) +@@ -209,7 +209,7 @@ public: + } + else if (pbBlob.has_shape()) + { +- const caffe::BlobShape &_shape = pbBlob.shape(); ++ const opencvcaffe::BlobShape &_shape = pbBlob.shape(); + + for (int i = 0; i < _shape.dim_size(); i++) + shape.push_back((int)_shape.dim(i)); +@@ -218,7 +218,7 @@ public: + CV_Error(Error::StsError, "Unknown shape of input blob"); + } + +- void blobFromProto(const caffe::BlobProto &pbBlob, cv::Mat &dstBlob) ++ void blobFromProto(const opencvcaffe::BlobProto &pbBlob, cv::Mat &dstBlob) + { + MatShape shape; + blobShapeFromProto(pbBlob, shape); +@@ -233,7 +233,7 @@ public: + dstData[i] = pbBlob.data(i); + } + +- void extractBinaryLayerParms(const caffe::LayerParameter& layer, LayerParams& layerParams) ++ void extractBinaryLayerParms(const opencvcaffe::LayerParameter& layer, LayerParams& layerParams) + { + const std::string &name = layer.name(); + +@@ -247,7 +247,7 @@ public: + if (li == netBinary.layer_size() || netBinary.layer(li).blobs_size() == 0) + return; + +- const caffe::LayerParameter &binLayer = netBinary.layer(li); ++ const opencvcaffe::LayerParameter &binLayer = netBinary.layer(li); + layerParams.blobs.resize(binLayer.blobs_size()); + for (int bi = 0; bi < binLayer.blobs_size(); bi++) + { +@@ -289,7 +289,7 @@ public: + + for (int li = 0; li < layersSize; li++) + { +- const caffe::LayerParameter &layer = net.layer(li); ++ const opencvcaffe::LayerParameter &layer = net.layer(li); + String name = layer.name(); + String type = layer.type(); + LayerParams layerParams; +@@ -313,7 +313,7 @@ public: + addedBlobs.clear(); + } + +- void addOutput(const caffe::LayerParameter &layer, int layerId, int outNum) ++ void addOutput(const opencvcaffe::LayerParameter &layer, int layerId, int outNum) + { + const std::string &name = layer.top(outNum); + +diff --git a/modules/dnn/src/caffe/caffe_io.hpp b/modules/dnn/src/caffe/caffe_io.hpp +index f5912c3bcec1..24cd5fa254eb 100644 +--- a/modules/dnn/src/caffe/caffe_io.hpp ++++ b/modules/dnn/src/caffe/caffe_io.hpp +@@ -98,9 +98,9 @@ namespace dnn { + + // Read parameters from a file into a NetParameter proto message. + void ReadNetParamsFromTextFileOrDie(const char* param_file, +- caffe::NetParameter* param); ++ opencvcaffe::NetParameter* param); + void ReadNetParamsFromBinaryFileOrDie(const char* param_file, +- caffe::NetParameter* param); ++ opencvcaffe::NetParameter* param); + + } + } +diff --git a/modules/dnn/src/caffe/opencv-caffe.proto b/modules/dnn/src/caffe/opencv-caffe.proto +index 3d23fb48ea6a..df4e1d3269ae 100644 +--- a/modules/dnn/src/caffe/opencv-caffe.proto ++++ b/modules/dnn/src/caffe/opencv-caffe.proto +@@ -48,7 +48,7 @@ + + syntax = "proto2"; + +-package caffe; ++package opencvcaffe; + + // Specifies the shape (dimensions) of a Blob. + message BlobShape { +diff --git a/modules/dnn/src/layers/detection_output_layer.cpp b/modules/dnn/src/layers/detection_output_layer.cpp +index f413bad5b81a..832c257eebf9 100644 +--- a/modules/dnn/src/layers/detection_output_layer.cpp ++++ b/modules/dnn/src/layers/detection_output_layer.cpp +@@ -72,7 +72,7 @@ public: + + int _backgroundLabelId; + +- typedef caffe::PriorBoxParameter_CodeType CodeType; ++ typedef opencvcaffe::PriorBoxParameter_CodeType CodeType; + CodeType _codeType; + + bool _varianceEncodedInTarget; +@@ -85,7 +85,7 @@ public: + enum { _numAxes = 4 }; + static const std::string _layerName; + +- typedef std::map<int, std::vector<caffe::NormalizedBBox> > LabelBBox; ++ typedef std::map<int, std::vector<opencvcaffe::NormalizedBBox> > LabelBBox; + + bool getParameterDict(const LayerParams ¶ms, + const std::string ¶meterName, +@@ -131,11 +131,11 @@ public: + { + String codeTypeString = params.get<String>("code_type").toLowerCase(); + if (codeTypeString == "corner") +- _codeType = caffe::PriorBoxParameter_CodeType_CORNER; ++ _codeType = opencvcaffe::PriorBoxParameter_CodeType_CORNER; + else if (codeTypeString == "center_size") +- _codeType = caffe::PriorBoxParameter_CodeType_CENTER_SIZE; ++ _codeType = opencvcaffe::PriorBoxParameter_CodeType_CENTER_SIZE; + else +- _codeType = caffe::PriorBoxParameter_CodeType_CORNER; ++ _codeType = opencvcaffe::PriorBoxParameter_CodeType_CORNER; + } + + DetectionOutputLayerImpl(const LayerParams ¶ms) +@@ -215,7 +215,7 @@ public: + GetConfidenceScores(confidenceData, num, numPriors, _numClasses, allConfidenceScores); + + // Retrieve all prior bboxes +- std::vector<caffe::NormalizedBBox> priorBBoxes; ++ std::vector<opencvcaffe::NormalizedBBox> priorBBoxes; + std::vector<std::vector<float> > priorVariances; + GetPriorBBoxes(priorData, numPriors, priorBBoxes, priorVariances); + +@@ -272,7 +272,7 @@ public: + for (size_t j = 0; j < indices.size(); ++j, ++count) + { + int idx = indices[j]; +- const caffe::NormalizedBBox& decode_bbox = label_bboxes->second[idx]; ++ const opencvcaffe::NormalizedBBox& decode_bbox = label_bboxes->second[idx]; + outputsData[count * 7] = i; + outputsData[count * 7 + 1] = label; + outputsData[count * 7 + 2] = scores[idx]; +@@ -355,7 +355,7 @@ public: + + // Compute bbox size + template<bool normalized> +- static float BBoxSize(const caffe::NormalizedBBox& bbox) ++ static float BBoxSize(const opencvcaffe::NormalizedBBox& bbox) + { + if (bbox.xmax() < bbox.xmin() || bbox.ymax() < bbox.ymin()) + { +@@ -388,10 +388,10 @@ public: + // Decode a bbox according to a prior bbox + template<bool variance_encoded_in_target> + static void DecodeBBox( +- const caffe::NormalizedBBox& prior_bbox, const std::vector<float>& prior_variance, ++ const opencvcaffe::NormalizedBBox& prior_bbox, const std::vector<float>& prior_variance, + const CodeType code_type, +- const bool clip_bbox, const caffe::NormalizedBBox& bbox, +- caffe::NormalizedBBox& decode_bbox) ++ const bool clip_bbox, const opencvcaffe::NormalizedBBox& bbox, ++ opencvcaffe::NormalizedBBox& decode_bbox) + { + float bbox_xmin = variance_encoded_in_target ? bbox.xmin() : prior_variance[0] * bbox.xmin(); + float bbox_ymin = variance_encoded_in_target ? bbox.ymin() : prior_variance[1] * bbox.ymin(); +@@ -399,13 +399,13 @@ public: + float bbox_ymax = variance_encoded_in_target ? bbox.ymax() : prior_variance[3] * bbox.ymax(); + switch(code_type) + { +- case caffe::PriorBoxParameter_CodeType_CORNER: ++ case opencvcaffe::PriorBoxParameter_CodeType_CORNER: + decode_bbox.set_xmin(prior_bbox.xmin() + bbox_xmin); + decode_bbox.set_ymin(prior_bbox.ymin() + bbox_ymin); + decode_bbox.set_xmax(prior_bbox.xmax() + bbox_xmax); + decode_bbox.set_ymax(prior_bbox.ymax() + bbox_ymax); + break; +- case caffe::PriorBoxParameter_CodeType_CENTER_SIZE: ++ case opencvcaffe::PriorBoxParameter_CodeType_CENTER_SIZE: + { + float prior_width = prior_bbox.xmax() - prior_bbox.xmin(); + CV_Assert(prior_width > 0); +@@ -431,7 +431,7 @@ public: + }; + if (clip_bbox) + { +- // Clip the caffe::NormalizedBBox such that the range for each corner is [0, 1] ++ // Clip the opencvcaffe::NormalizedBBox such that the range for each corner is [0, 1] + decode_bbox.set_xmin(std::max(std::min(decode_bbox.xmin(), 1.f), 0.f)); + decode_bbox.set_ymin(std::max(std::min(decode_bbox.ymin(), 1.f), 0.f)); + decode_bbox.set_xmax(std::max(std::min(decode_bbox.xmax(), 1.f), 0.f)); +@@ -443,11 +443,11 @@ public: + + // Decode a set of bboxes according to a set of prior bboxes + static void DecodeBBoxes( +- const std::vector<caffe::NormalizedBBox>& prior_bboxes, ++ const std::vector<opencvcaffe::NormalizedBBox>& prior_bboxes, + const std::vector<std::vector<float> >& prior_variances, + const CodeType code_type, const bool variance_encoded_in_target, +- const bool clip_bbox, const std::vector<caffe::NormalizedBBox>& bboxes, +- std::vector<caffe::NormalizedBBox>& decode_bboxes) ++ const bool clip_bbox, const std::vector<opencvcaffe::NormalizedBBox>& bboxes, ++ std::vector<opencvcaffe::NormalizedBBox>& decode_bboxes) + { + CV_Assert(prior_bboxes.size() == prior_variances.size()); + CV_Assert(prior_bboxes.size() == bboxes.size()); +@@ -470,7 +470,7 @@ public: + + // Decode all bboxes in a batch + static void DecodeBBoxesAll(const std::vector<LabelBBox>& all_loc_preds, +- const std::vector<caffe::NormalizedBBox>& prior_bboxes, ++ const std::vector<opencvcaffe::NormalizedBBox>& prior_bboxes, + const std::vector<std::vector<float> >& prior_variances, + const int num, const bool share_location, + const int num_loc_classes, const int background_label_id, +@@ -503,10 +503,10 @@ public: + // Get prior bounding boxes from prior_data + // prior_data: 1 x 2 x num_priors * 4 x 1 blob. + // num_priors: number of priors. +- // prior_bboxes: stores all the prior bboxes in the format of caffe::NormalizedBBox. ++ // prior_bboxes: stores all the prior bboxes in the format of opencvcaffe::NormalizedBBox. + // prior_variances: stores all the variances needed by prior bboxes. + static void GetPriorBBoxes(const float* priorData, const int& numPriors, +- std::vector<caffe::NormalizedBBox>& priorBBoxes, ++ std::vector<opencvcaffe::NormalizedBBox>& priorBBoxes, + std::vector<std::vector<float> >& priorVariances) + { + priorBBoxes.clear(); priorBBoxes.resize(numPriors); +@@ -514,7 +514,7 @@ public: + for (int i = 0; i < numPriors; ++i) + { + int startIdx = i * 4; +- caffe::NormalizedBBox& bbox = priorBBoxes[i]; ++ opencvcaffe::NormalizedBBox& bbox = priorBBoxes[i]; + bbox.set_xmin(priorData[startIdx]); + bbox.set_ymin(priorData[startIdx + 1]); + bbox.set_xmax(priorData[startIdx + 2]); +@@ -565,7 +565,7 @@ public: + { + labelBBox[label].resize(numPredsPerClass); + } +- caffe::NormalizedBBox& bbox = labelBBox[label][p]; ++ opencvcaffe::NormalizedBBox& bbox = labelBBox[label][p]; + bbox.set_xmin(locData[startIdx + c * 4]); + bbox.set_ymin(locData[startIdx + c * 4 + 1]); + bbox.set_xmax(locData[startIdx + c * 4 + 2]); +@@ -612,7 +612,7 @@ public: + // nms_threshold: a threshold used in non maximum suppression. + // top_k: if not -1, keep at most top_k picked indices. + // indices: the kept indices of bboxes after nms. +- static void ApplyNMSFast(const std::vector<caffe::NormalizedBBox>& bboxes, ++ static void ApplyNMSFast(const std::vector<opencvcaffe::NormalizedBBox>& bboxes, + const std::vector<float>& scores, const float score_threshold, + const float nms_threshold, const float eta, const int top_k, + std::vector<int>& indices) +@@ -674,10 +674,10 @@ public: + + // Compute the jaccard (intersection over union IoU) overlap between two bboxes. + template<bool normalized> +- static float JaccardOverlap(const caffe::NormalizedBBox& bbox1, +- const caffe::NormalizedBBox& bbox2) ++ static float JaccardOverlap(const opencvcaffe::NormalizedBBox& bbox1, ++ const opencvcaffe::NormalizedBBox& bbox2) + { +- caffe::NormalizedBBox intersect_bbox; ++ opencvcaffe::NormalizedBBox intersect_bbox; + if (bbox2.xmin() > bbox1.xmax() || bbox2.xmax() < bbox1.xmin() || + bbox2.ymin() > bbox1.ymax() || bbox2.ymax() < bbox1.ymin()) + { +diff --git a/modules/dnn/src/caffe/caffe_io.cpp b/modules/dnn/src/caffe/caffe_io.cpp +index 1d3c518f1328..3cf6e255aa60 100644 +--- a/modules/dnn/src/caffe/caffe_io.cpp ++++ b/modules/dnn/src/caffe/caffe_io.cpp +@@ -107,7 +107,7 @@ namespace dnn { + + using std::string; + using std::map; +-using namespace caffe; ++using namespace opencvcaffe; + using namespace ::google::protobuf; + using namespace ::google::protobuf::io; + |