OpenCV Error!

[KeeganRen]

Ubuntu 14.04.4 LTS
opencv 2.4.12
compile caffe is ok, but when i compile ssd, it will ....

./include/caffe/layers/video_data_layer.hpp:52:3: error: ‘VideoCapture’ in namespace ‘cv’ does not name a type
cv::VideoCapture cap_;
^
src/caffe/layers/video_data_layer.cpp: In destructor ‘virtual caffe::VideoDataLayer::~VideoDataLayer()’:
src/caffe/layers/video_data_layer.cpp:28:7: error: ‘cap_’ was not declared in this scope
if (cap_.isOpened()) {
^
src/caffe/layers/video_data_layer.cpp: In member function ‘virtual void caffe::VideoDataLayer::DataLayerSetUp(const std::vectorcaffe::Blob<Dtype_>&, const std::vectorcaffe::Blob<Dtype_>&)’:
src/caffe/layers/video_data_layer.cpp:45:10: error: ‘cap_’ was not declared in this scope
if (!cap_.open(device_id)) {
^
src/caffe/layers/video_data_layer.cpp:48:5: error: ‘cap_’ was not declared in this scope
cap_ >> cv_img;
^
src/caffe/layers/video_data_layer.cpp:52:10: error: ‘cap_’ was not declared in this scope
if (!cap_.open(video_file)) {
^
src/caffe/layers/video_data_layer.cpp:55:21: error: ‘cap_’ was not declared in this scope
total_frames_ = cap_.get(CV_CAP_PROP_FRAME_COUNT);
^
src/caffe/layers/video_data_layer.cpp:55:30: error: ‘CV_CAP_PROP_FRAME_COUNT’ was not declared in this scope
total_frames_ = cap_.get(CV_CAP_PROP_FRAME_COUNT);
^
src/caffe/layers/video_data_layer.cpp:60:14: error: ‘CV_CAP_PROP_POS_FRAMES’ was not declared in this scope
cap_.set(CV_CAP_PROP_POS_FRAMES, 0);
^
In file included from ./include/caffe/common.hpp:6:0,
from ./include/caffe/blob.hpp:8,
from ./include/caffe/data_transformer.hpp:8,
from src/caffe/layers/video_data_layer.cpp:14:
src/caffe/layers/video_data_layer.cpp:64:15: error: invalid use of incomplete type ‘class cv::Mat’
CHECK(cv_img.data) << "Could not load image!";
^
In file included from ./include/caffe/blob.hpp:8:0,
from ./include/caffe/data_transformer.hpp:8,
from src/caffe/layers/video_data_layer.cpp:14:
./include/caffe/common.hpp:73:22: error: forward declaration of ‘class cv::Mat’
namespace cv { class Mat; }
^
src/caffe/layers/video_data_layer.cpp: In member function ‘virtual void caffe::VideoDataLayer::load_batch(caffe::Batch)’:
src/caffe/layers/video_data_layer.cpp:116:7: error: ‘cap’ was not declared in this scope
cap_ >> cv_img;
^
src/caffe/layers/video_data_layer.cpp:123:7: error: ‘cap_’ was not declared in this scope
cap_ >> cv_img;
^
In file included from ./include/caffe/common.hpp:6:0,
from ./include/caffe/blob.hpp:8,
from ./include/caffe/data_transformer.hpp:8,
from src/caffe/layers/video_data_layer.cpp:14:
src/caffe/layers/video_data_layer.cpp:127:17: error: invalid use of incomplete type ‘class cv::Mat’
CHECK(cv_img.data) << "Could not load image!";
^
In file included from ./include/caffe/blob.hpp:8:0,
from ./include/caffe/data_transformer.hpp:8,
from src/caffe/layers/video_data_layer.cpp:14:
./include/caffe/common.hpp:73:22: error: forward declaration of ‘class cv::Mat’
namespace cv { class Mat; }
^
src/caffe/layers/video_data_layer.cpp: In instantiation of ‘void caffe::VideoDataLayer::DataLayerSetUp(const std::vectorcaffe::Blob<Dtype_>&, const std::vectorcaffe::Blob<Dtype_>&) [with Dtype = float]’:
src/caffe/layers/video_data_layer.cpp:146:1: required from here
src/caffe/layers/video_data_layer.cpp:42:11: error: ‘cv::Mat cv_img’ has incomplete type
cv::Mat cv_img;
^
src/caffe/layers/video_data_layer.cpp: In instantiation of ‘void caffe::VideoDataLayer::load_batch(caffe::Batch) [with Dtype = float]’:
src/caffe/layers/video_data_layer.cpp:146:1: required from here
src/caffe/layers/video_data_layer.cpp:114:13: error: ‘cv::Mat cv_img’ has incomplete type
cv::Mat cv_img;
^
src/caffe/layers/video_data_layer.cpp: In instantiation of ‘void caffe::VideoDataLayer::DataLayerSetUp(const std::vectorcaffe::Blob<Dtype>&, const std::vectorcaffe::Blob<Dtype_>&) [with Dtype = double]’:
src/caffe/layers/video_data_layer.cpp:146:1: required from here
src/caffe/layers/video_data_layer.cpp:42:11: error: ‘cv::Mat cv_img’ has incomplete type
cv::Mat cv_img;
^
src/caffe/layers/video_data_layer.cpp: In instantiation of ‘void caffe::VideoDataLayer::load_batch(caffe::Batch) [with Dtype = double]’:
src/caffe/layers/video_data_layer.cpp:146:1: required from here
src/caffe/layers/video_data_layer.cpp:114:13: error: ‘cv::Mat cv_img’ has incomplete type
cv::Mat cv_img;
^
make: ** [.build_release/src/caffe/layers/video_data_layer.o] Error 1
make: *** Waiting for unfinished jobs....

[weiliu89]

It seems to be an OpenCV issue. According to here, you only need to have #include "opencv2/opencv.hpp". I have specified the different header file at here.

I am guessing you have uncommented this line in your Makefile.config. You shouldn't since you are not using OpenCV 3.

[KeeganRen]

``## Refer to http://caffe.berkeleyvision.org/installation.html

Contributions simplifying and improving our build system are welcome!

cuDNN acceleration switch (uncomment to build with cuDNN).

USE_CUDNN := 1

CPU-only switch (uncomment to build without GPU support).

CPU_ONLY := 1

uncomment to disable IO dependencies and corresponding data layers

USE_OPENCV := 0

USE_LEVELDB := 0

USE_LMDB := 0

uncomment to allow MDB_NOLOCK when reading LMDB files (only if necessary)

You should not set this flag if you will be reading LMDBs with any

possibility of simultaneous read and write

ALLOW_LMDB_NOLOCK := 1

Uncomment if you're using OpenCV 3

OPENCV_VERSION := 3

To customize your choice of compiler, uncomment and set the following.

N.B. the default for Linux is g++ and the default for OSX is clang++

CUSTOM_CXX := g++

CUDA directory contains bin/ and lib/ directories that we need.

CUDA_DIR := /usr/local/cuda

On Ubuntu 14.04, if cuda tools are installed via

"sudo apt-get install nvidia-cuda-toolkit" then use this instead:

CUDA_DIR := /usr

CUDA architecture setting: going with all of them.

For CUDA < 6.0, comment the *_50 lines for compatibility.

CUDA_ARCH := -gencode arch=compute_20,code=sm_20
-gencode arch=compute_20,code=sm_21
-gencode arch=compute_30,code=sm_30
-gencode arch=compute_35,code=sm_35
-gencode arch=compute_50,code=sm_50
-gencode arch=compute_50,code=compute_50

BLAS choice:

atlas for ATLAS (default)

mkl for MKL

open for OpenBlas

BLAS := mkl

Custom (MKL/ATLAS/OpenBLAS) include and lib directories.

Leave commented to accept the defaults for your choice of BLAS

(which should work)!

BLAS_INCLUDE := /path/to/your/blas

BLAS_LIB := /path/to/your/blas

BLAS_INCLUDE := /opt/intel/composer_xe_2013_sp1.3.174/mkl/include
BLAS_LIB := /opt/intel/composer_xe_2013_sp1.3.174/mkl/lib /opt/intel/composer_xe_2013_sp1.3.174/mkl/lib/intel64

Homebrew puts openblas in a directory that is not on the standard search path

BLAS_INCLUDE := $(shell brew --prefix openblas)/include

BLAS_LIB := $(shell brew --prefix openblas)/lib

This is required only if you will compile the matlab interface.

MATLAB directory should contain the mex binary in /bin.

MATLAB_DIR := /usr/local

MATLAB_DIR := /Applications/MATLAB_R2012b.app

MATLAB_DIR :=/usr/local/MATLAB/R2014a

NOTE: this is required only if you will compile the python interface.

We need to be able to find Python.h and numpy/arrayobject.h.

PYTHON_INCLUDE := /usr/include/python2.7
/usr/lib/python2.7/dist-packages/numpy/core/include

Anaconda Python distribution is quite popular. Include path:

Verify anaconda location, sometimes it's in root.

ANACONDA_HOME := $(HOME)/anaconda

PYTHON_INCLUDE := $(ANACONDA_HOME)/include \

    # $(ANACONDA_HOME)/include/python2.7 \
    # $(ANACONDA_HOME)/lib/python2.7/site-packages/numpy/core/include \

Uncomment to use Python 3 (default is Python 2)

PYTHON_LIBRARIES := boost_python3 python3.5m

PYTHON_INCLUDE := /usr/include/python3.5m \

/usr/lib/python3.5/dist-packages/numpy/core/include

We need to be able to find libpythonX.X.so or .dylib.

PYTHON_LIB := /usr/lib

PYTHON_LIB := $(ANACONDA_HOME)/lib

Homebrew installs numpy in a non standard path (keg only)

PYTHON_INCLUDE += $(dir $(shell python -c 'import numpy.core; print(numpy.core.file)'))/include

PYTHON_LIB += $(shell brew --prefix numpy)/lib

Uncomment to support layers written in Python (will link against Python libs)

WITH_PYTHON_LAYER := 1

Whatever else you find you need goes here.

INCLUDE_DIRS := $(PYTHON_INCLUDE) /usr/local/include /usr/local/hdf5/include
LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/local/hdf5/lib

If Homebrew is installed at a non standard location (for example your home directory) and you use it for general dependencies

INCLUDE_DIRS += $(shell brew --prefix)/include

LIBRARY_DIRS += $(shell brew --prefix)/lib

Uncomment to use pkg-config to specify OpenCV library paths.

(Usually not necessary -- OpenCV libraries are normally installed in one of the above $LIBRARY_DIRS.)

USE_PKG_CONFIG := 1

N.B. both build and distribute dirs are cleared on make clean

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

Uncomment for debugging. Does not work on OSX due to BVLC#171

DEBUG := 1

The ID of the GPU that 'make runtest' will use to run unit tests.

TEST_GPUID := 0

enable pretty build (comment to see full commands)

Q ?= @``

[KeeganRen]

我把这几句话注释掉就好了
USE_OPENCV := 0
USE_LEVELDB := 0
USE_LMDB := 0
但是我直接下载下来的caffe是没问题的

[AndrewZhao]

@KeeganRen if you comment these code, the caffe will not be compiled with opencv and lmdb...the minist test would not passed..

[KeeganRen]

@AndrewZhao oh no, the minist not passed ...., but if I uncomment these code, it will error on opencv, but it's include & libs are added.

[AndrewZhao]

@KeeganRen because the type of the minist file is lmdb.do you have followed the weiliu89's suggest？if the caffe still has errors, i think you may try to reinstall the opencv