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CMU-Perceptual-Computing-Lab / caffe_rtpose

Realtime C++ code for multi-person pose estimation
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Error compiling and linking rtpose.cpp on OSX #31

Closed orgicus closed 7 years ago

orgicus commented 7 years ago

Hi,

I've started compiling the project on OSX 10.11.5 with CUDA 7.5 installed and got this error:

examples/rtpose/rtpose.cpp:1088:22: error: variable length array of non-POD element type 'Frame'
    Frame frame_batch[BATCH_SIZE];

Additionally I'm getting a linking error against GOMP:

ld: library not found for -lgomp

It's confusing to see LD -o .build_release/lib/libcaffe.so.1.0.0-rc3 instead of something like LD -o .build_release/lib/libcaffe.dylib.1.0.0-rc3, even though ./build_releases/lib only contains libcaffe.a

What should I tweak to successfully link and compile?

This is the more verbose output:

------------------------- Compiling Caffe & CPM -------------------------
LD -o .build_release/lib/libcaffe.so.1.0.0-rc3
/usr/bin/clang++ -shared -o .build_release/lib/libcaffe.so.1.0.0-rc3 .build_release/src/caffe/proto/caffe.pb.o .build_release/src/caffe/blob.o .build_release/src/caffe/common.o .build_release/src/caffe/cpm/layers/imresize_layer.o .build_release/src/caffe/cpm/layers/nms_layer.o .build_release/src/caffe/cpm/util/math_functions.o .build_release/src/caffe/data_reader.o .build_release/src/caffe/data_transformer.o .build_release/src/caffe/internal_thread.o .build_release/src/caffe/layer.o .build_release/src/caffe/layer_factory.o .build_release/src/caffe/layers/absval_layer.o .build_release/src/caffe/layers/accuracy_layer.o .build_release/src/caffe/layers/argmax_layer.o .build_release/src/caffe/layers/base_conv_layer.o .build_release/src/caffe/layers/base_data_layer.o .build_release/src/caffe/layers/batch_norm_layer.o .build_release/src/caffe/layers/batch_reindex_layer.o .build_release/src/caffe/layers/bias_layer.o .build_release/src/caffe/layers/bnll_layer.o .build_release/src/caffe/layers/concat_layer.o .build_release/src/caffe/layers/contrastive_loss_layer.o .build_release/src/caffe/layers/conv_layer.o .build_release/src/caffe/layers/crop_layer.o .build_release/src/caffe/layers/cudnn_conv_layer.o .build_release/src/caffe/layers/cudnn_lcn_layer.o .build_release/src/caffe/layers/cudnn_lrn_layer.o .build_release/src/caffe/layers/cudnn_pooling_layer.o .build_release/src/caffe/layers/cudnn_relu_layer.o .build_release/src/caffe/layers/cudnn_sigmoid_layer.o .build_release/src/caffe/layers/cudnn_softmax_layer.o .build_release/src/caffe/layers/cudnn_tanh_layer.o .build_release/src/caffe/layers/data_layer.o .build_release/src/caffe/layers/deconv_layer.o .build_release/src/caffe/layers/dropout_layer.o .build_release/src/caffe/layers/dummy_data_layer.o .build_release/src/caffe/layers/eltwise_layer.o .build_release/src/caffe/layers/elu_layer.o .build_release/src/caffe/layers/embed_layer.o .build_release/src/caffe/layers/euclidean_loss_layer.o .build_release/src/caffe/layers/euclideanmask_loss_layer.o .build_release/src/caffe/layers/exp_layer.o .build_release/src/caffe/layers/filter_layer.o .build_release/src/caffe/layers/flatten_layer.o .build_release/src/caffe/layers/hdf5_data_layer.o .build_release/src/caffe/layers/hdf5_output_layer.o .build_release/src/caffe/layers/hinge_loss_layer.o .build_release/src/caffe/layers/im2col_layer.o .build_release/src/caffe/layers/image_data_layer.o .build_release/src/caffe/layers/infogain_loss_layer.o .build_release/src/caffe/layers/inner_product_layer.o .build_release/src/caffe/layers/input_layer.o .build_release/src/caffe/layers/log_layer.o .build_release/src/caffe/layers/loss_layer.o .build_release/src/caffe/layers/lrn_layer.o .build_release/src/caffe/layers/lstm_layer.o .build_release/src/caffe/layers/lstm_unit_layer.o .build_release/src/caffe/layers/maximum_layer.o .build_release/src/caffe/layers/memory_data_layer.o .build_release/src/caffe/layers/multinomial_logistic_loss_layer.o .build_release/src/caffe/layers/mvn_layer.o .build_release/src/caffe/layers/neuron_layer.o .build_release/src/caffe/layers/parameter_layer.o .build_release/src/caffe/layers/pooling_layer.o .build_release/src/caffe/layers/power_layer.o .build_release/src/caffe/layers/prelu_layer.o .build_release/src/caffe/layers/recurrent_layer.o .build_release/src/caffe/layers/reduction_layer.o .build_release/src/caffe/layers/relu_layer.o .build_release/src/caffe/layers/reshape_layer.o .build_release/src/caffe/layers/rnn_layer.o .build_release/src/caffe/layers/scale_layer.o .build_release/src/caffe/layers/sigmoid_cross_entropy_loss_layer.o .build_release/src/caffe/layers/sigmoid_layer.o .build_release/src/caffe/layers/silence_layer.o .build_release/src/caffe/layers/slice_layer.o .build_release/src/caffe/layers/softmax_layer.o .build_release/src/caffe/layers/softmax_loss_layer.o .build_release/src/caffe/layers/split_layer.o .build_release/src/caffe/layers/spp_layer.o .build_release/src/caffe/layers/tanh_layer.o .build_release/src/caffe/layers/threshold_layer.o .build_release/src/caffe/layers/tile_layer.o .build_release/src/caffe/layers/window_data_layer.o .build_release/src/caffe/net.o .build_release/src/caffe/parallel.o .build_release/src/caffe/solver.o .build_release/src/caffe/solvers/adadelta_solver.o .build_release/src/caffe/solvers/adagrad_solver.o .build_release/src/caffe/solvers/adam_solver.o .build_release/src/caffe/solvers/nesterov_solver.o .build_release/src/caffe/solvers/rmsprop_solver.o .build_release/src/caffe/solvers/sgd_solver.o .build_release/src/caffe/syncedmem.o .build_release/src/caffe/util/benchmark.o .build_release/src/caffe/util/blocking_queue.o .build_release/src/caffe/util/cudnn.o .build_release/src/caffe/util/db.o .build_release/src/caffe/util/db_leveldb.o .build_release/src/caffe/util/db_lmdb.o .build_release/src/caffe/util/hdf5.o .build_release/src/caffe/util/im2col.o .build_release/src/caffe/util/insert_splits.o .build_release/src/caffe/util/io.o .build_release/src/caffe/util/math_functions.o .build_release/src/caffe/util/signal_handler.o .build_release/src/caffe/util/upgrade_proto.o .build_release/src/gtest/gtest-all.o .build_release/src/rtpose/modelDescriptor.o .build_release/src/rtpose/modelDescriptorFactory.o .build_release/cuda/src/caffe/cpm/layers/imresize_layer.o .build_release/cuda/src/caffe/cpm/layers/nms_layer.o .build_release/cuda/src/caffe/cpm/util/math_functions.o .build_release/cuda/src/caffe/layers/absval_layer.o .build_release/cuda/src/caffe/layers/base_data_layer.o .build_release/cuda/src/caffe/layers/batch_norm_layer.o .build_release/cuda/src/caffe/layers/batch_reindex_layer.o .build_release/cuda/src/caffe/layers/bias_layer.o .build_release/cuda/src/caffe/layers/bnll_layer.o .build_release/cuda/src/caffe/layers/concat_layer.o .build_release/cuda/src/caffe/layers/contrastive_loss_layer.o .build_release/cuda/src/caffe/layers/conv_layer.o .build_release/cuda/src/caffe/layers/crop_layer.o .build_release/cuda/src/caffe/layers/cudnn_conv_layer.o .build_release/cuda/src/caffe/layers/cudnn_lcn_layer.o .build_release/cuda/src/caffe/layers/cudnn_lrn_layer.o .build_release/cuda/src/caffe/layers/cudnn_pooling_layer.o .build_release/cuda/src/caffe/layers/cudnn_relu_layer.o .build_release/cuda/src/caffe/layers/cudnn_sigmoid_layer.o .build_release/cuda/src/caffe/layers/cudnn_softmax_layer.o .build_release/cuda/src/caffe/layers/cudnn_tanh_layer.o .build_release/cuda/src/caffe/layers/deconv_layer.o .build_release/cuda/src/caffe/layers/dropout_layer.o .build_release/cuda/src/caffe/layers/eltwise_layer.o .build_release/cuda/src/caffe/layers/elu_layer.o .build_release/cuda/src/caffe/layers/embed_layer.o .build_release/cuda/src/caffe/layers/euclidean_loss_layer.o .build_release/cuda/src/caffe/layers/euclideanmask_loss_layer.o .build_release/cuda/src/caffe/layers/exp_layer.o .build_release/cuda/src/caffe/layers/filter_layer.o .build_release/cuda/src/caffe/layers/hdf5_data_layer.o .build_release/cuda/src/caffe/layers/hdf5_output_layer.o .build_release/cuda/src/caffe/layers/im2col_layer.o .build_release/cuda/src/caffe/layers/inner_product_layer.o .build_release/cuda/src/caffe/layers/log_layer.o .build_release/cuda/src/caffe/layerCXX examples/rtpose/rtpose.cpp
s/lrn_layer.o .build_release/cuda/src/caffe/layers/lstm_unit_layer.o .build_release/cuda/src/caffe/layers/maximum_layer.o .build_release/cuda/src/caffe/layers/mvn_layer.o .build_release/cuda/src/caffe/layers/pooling_layer.o .build_release/cuda/src/caffe/layers/power_layer.o .build_release/cuda/src/caffe/layers/prelu_layer.o .build_release/cuda/src/caffe/layers/recurrent_layer.o .build_release/cuda/src/caffe/layers/reduction_layer.o .build_release/cuda/src/caffe/layers/relu_layer.o .build_release/cuda/src/caffe/layers/scale_layer.o .build_release/cuda/src/caffe/layers/sigmoid_cross_entropy_loss_layer.o .build_release/cuda/src/caffe/layers/sigmoid_layer.o .build_release/cuda/src/caffe/layers/silence_layer.o .build_release/cuda/src/caffe/layers/slice_layer.o .build_release/cuda/src/caffe/layers/softmax_layer.o .build_release/cuda/src/caffe/layers/softmax_loss_layer.o .build_release/cuda/src/caffe/layers/split_layer.o .build_release/cuda/src/caffe/layers/tanh_layer.o .build_release/cuda/src/caffe/layers/threshold_layer.o .build_release/cuda/src/caffe/layers/tile_layer.o .build_release/cuda/src/caffe/solvers/adadelta_solver.o .build_release/cuda/src/caffe/solvers/adagrad_solver.o .build_release/cuda/src/caffe/solvers/adam_solver.o .build_release/cuda/src/caffe/solvers/nesterov_solver.o .build_release/cuda/src/caffe/solvers/rmsprop_solver.o .build_release/cuda/src/caffe/solvers/sgd_solver.o .build_release/cuda/src/caffe/util/im2col.o .build_release/cuda/src/caffe/util/math_functions.o .build_release/cuda/src/rtpose/renderFunctions.o -Wl,-install_name,@rpath/libcaffe.so.1.0.0-rc3 -Wl,-rpath,@loader_path/../../build/lib -pthread -fPIC -DCAFFE_VERSION=1.0.0-rc3 -DGTEST_USE_OWN_TR1_TUPLE=1 -DNDEBUG -O3 -DUSE_CUDNN -DUSE_OPENCV -DUSE_LEVELDB -DUSE_LMDB -I/usr/include/python2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/include -I.build_release/src -I./src -I./include -I/usr/local/cuda/include -I/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers/ -Wall -Wno-sign-compare -Wno-unneeded-internal-declaration -fopenmp -Wl,-rpath, /usr/local/cuda/lib -framework Accelerate -L/usr/lib -L/usr/local/lib -L/usr/lib -L/usr/local/cuda/lib -L/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A -L.build_release/lib  -lcudart -lcublas -lcurand -lglog -lgflags -lprotobuf -lboost_system -lboost_filesystem -lm -lhdf5_hl -lhdf5 -lleveldb -lsnappy -llmdb -lopencv_core -lopencv_highgui -lopencv_imgproc -lopencv_contrib -lboost_thread-mt -lcudnn -lcblas
/usr/bin/clang++ examples/rtpose/rtpose.cpp -MMD -MP -march=native -pthread -fPIC -DCAFFE_VERSION=1.0.0-rc3 -DGTEST_USE_OWN_TR1_TUPLE=1 -DNDEBUG -O3 -DUSE_CUDNN -DUSE_OPENCV -DUSE_LEVELDB -DUSE_LMDB -I/usr/include/python2.7 -I/usr/lib/python2.7/dist-packages/numpy/core/include -I/usr/local/include -I.build_release/src -I./src -I./include -I/usr/local/cuda/include -I/System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers/ -Wall -Wno-sign-compare -Wno-unneeded-internal-declaration -std=c++11 -fopenmp -c -o .build_release/examples/rtpose/rtpose.o 2> .build_release/examples/rtpose/rtpose.o.warnings.txt \
        || (cat .build_release/examples/rtpose/rtpose.o.warnings.txt; exit 1)
clang: warning: argument unused during compilation: '-pthread'
ld: library not found for -lgomp
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [.build_release/lib/libcaffe.so.1.0.0-rc3] Error 1
make: *** Waiting for unfinished jobs....
examples/rtpose/rtpose.cpp:1088:22: error: variable length array of non-POD element type 'Frame'
    Frame frame_batch[BATCH_SIZE];
                     ^
1 error generated.
make: *** [.build_release/examples/rtpose/rtpose.o] Error 1

This is the configuration I've used to compile, tweaked from the repo's Ubuntu 14 one: Makefile.config.OSX.10.11.5.example:

## 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_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 \
        -gencode arch=compute_52,code=sm_52 \
        # -gencode arch=compute_60,code=sm_60 \
        # -gencode arch=compute_61,code=sm_61
# Deprecated
#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 := atlas
# 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

# 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
BLAS_INCLUDE := /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/Headers/
BLAS_LIB := /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A

# 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

# 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 \

# 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/include/hdf5/serial
# LIBRARY_DIRS := $(PYTHON_LIB) /usr/local/lib /usr/lib /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/hdf5/serial

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

BUILD_DIR := build
DISTRIBUTE_DIR := distribute

# Uncomment for debugging. Does not work on OSX due to https://github.com/BVLC/caffe/issues/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 ?= @

and the install_caffe_and_cpm_osx.sh script:

#!/bin/bash

echo "------------------------- INSTALLING CAFFE AND CPM -------------------------"
echo "NOTE: This script assumes that CUDA and cuDNN are already installed on your machine. Otherwise, it might fail."

function exitIfError {
    if [[ $? -ne 0 ]] ; then
        echo ""
        echo "------------------------- -------------------------"
        echo "Errors detected. Exiting script. The software might have not been successfully installed."
        echo "------------------------- -------------------------"
        exit 1
    fi
}

echo "------------------------- Checking Number of Processors -------------------------"
NUM_CORES=$(grep -c ^processor /proc/cpuinfo 2>/dev/null || sysctl -n hw.ncpu)
echo "$NUM_CORES cores"
exitIfError
echo "------------------------- Number of Processors Checked -------------------------"
echo ""

echo "------------------------- Installing some Caffe Dependencies -------------------------"
# Basic
# sudo apt-get --assume-yes update
# sudo apt-get --assume-yes install build-essential
#General dependencies
brew install protobuf leveldb snappy hdf5
# with Python pycaffe needs dependencies built from source - from http://caffe.berkeleyvision.org/install_osx.html
# brew install --build-from-source --with-python -vd protobuf
# brew install --build-from-source -vd boost boost-python
# without Python the usual installation suffices
brew install boost
# sudo apt-get --assume-yes install libprotobuf-dev libleveldb-dev libsnappy-dev libhdf5-serial-dev protobuf-compiler
# sudo apt-get --assume-yes install --no-install-recommends libboost-all-dev
# Remaining dependencies, 14.04
brew install gflags glog lmdb
# if [[ $ubuntu_le_14 == true ]]; then
#     sudo apt-get --assume-yes install libgflags-dev libgoogle-glog-dev liblmdb-dev
# fi
# OpenCV 2.4
# sudo apt-get --assume-yes install libopencv-dev
exitIfError
echo "------------------------- Some Caffe Dependencies Installed -------------------------"
echo ""

echo "------------------------- Compiling Caffe & CPM -------------------------"
cp Makefile.config.OSX.10.11.5.example Makefile.config
make all -j$NUM_CORES
# make test -j$NUM_CORES
# make runtest -j$NUM_CORES
exitIfError
echo "------------------------- Caffe & CPM Compiled -------------------------"
echo ""

# echo "------------------------- Installing CPM -------------------------"
# echo "Compiled"
# exitIfError
# echo "------------------------- CPM Installed -------------------------"
# echo ""

echo "------------------------- Downloading CPM Models -------------------------"
models_folder="./model/"
# COCO
coco_folder="$models_folder"coco/""
coco_model="$coco_folder"pose_iter_440000.caffemodel""
if [ ! -f $coco_model ]; then
    wget http://posefs1.perception.cs.cmu.edu/Users/tsimon/Projects/coco/data/models/coco/pose_iter_440000.caffemodel -P $coco_folder
fi
exitIfError
# MPI
mpi_folder="$models_folder"mpi/""
mpi_model="$mpi_folder"pose_iter_160000.caffemodel""
if [ ! -f $mpi_model ]; then
    wget http://posefs1.perception.cs.cmu.edu/Users/tsimon/Projects/coco/data/models/mpi/pose_iter_160000.caffemodel -P $mpi_folder
fi
exitIfError
echo "Models downloaded"
echo "------------------------- CPM Models Downloaded -------------------------"
echo ""

echo "------------------------- CAFFE AND CPM INSTALLED -------------------------"
echo ""

Thank you, George

orgicus commented 7 years ago

I have managed to compile the example OSX and documented the process on stackoverflow.

I am now getting out of memory GPU runtime errors, but that's unrelated to compiling. F0331 01:47:50.819402 528384 syncedmem.cpp:56] Check failed: error == cudaSuccess (2 vs. 0) out of memory Check failure stack trace: @ 0x110c479da google::LogMessage::Fail() @ 0x110c470d5 google::LogMessage::SendToLog() @ 0x110c4763b google::LogMessage::Flush() @ 0x110c4aa17 google::LogMessageFatal::~LogMessageFatal() @ 0x110c47cc7 google::LogMessageFatal::~LogMessageFatal() @ 0x10bddc1db caffe::SyncedMemory::to_gpu() @ 0x10bddbc9e caffe::SyncedMemory::mutable_gpu_data() @ 0x10be43fba caffe::CuDNNConvolutionLayer<>::Forward_gpu() @ 0x10bcf5331 caffe::Layer<>::Forward() @ 0x10bdac016 caffe::Net<>::ForwardFromTo() @ 0x10bc3f6f1 warmup() @ 0x10bc4911d processFrame() @ 0x7fff8b11899d _pthread_body @ 0x7fff8b11891a _pthread_start @ 0x7fff8b116351 thread_start Abort trap: 6

I did try to dim the settings down as much as possible:

./build/examples/rtpose/rtpose.bin -caffemodel ./model/coco/pose_iter_440000.caffemodel -caffeproto ./model/coco/pose_deploy_linevec.prototxt -camera_resolution "40x30" -camera 0 -resolution "40x30" -start_scale 0.1 -num_scales=0 -no_display true -net_resolution "16x16"

This didn't work, so any tips are more welcome.

Meanwhile, because the compile errors are resolved, this issue is closed