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4a9ba44b113aabbc8b0bf162da61c67d45b851b3
meta-openembedded/meta-oe/recipes-support/opencv/opencv/already-exists.patch
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Ricardo Ribalda Delgado 4a9ba44b11 opencv: Fix error when dynamic link 
If opencv was imported in python or dynamic linked in gstreamer it was
producing this output and dying:

 [libprotobuf ERROR google/protobuf/descriptor_database.cc:58] File already
 exists in database: caffe.proto
 [libprotobuf FATAL google/protobuf/descriptor.cc:1315] CHECK failed:
 generated_database_->Add(encoded_file_descriptor, size):
 terminate called after throwing an instance of
 'google::protobuf::FatalException'

This patch backports a patch that fixes this issue.

Signed-off-by: Ricardo Ribalda Delgado <ricardo.ribalda@gmail.com>
Signed-off-by: Armin Kuster <akuster808@gmail.com>
2017-11-30 09:13:32 -08:00

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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 &params,
const std::string &parameterName,
@@ -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 &params)
@@ -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;
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