'boost::archive::archive_exception' what(): unsupported version - serialization

Question

I cloned this repository:
https://github.com/srianant/computer_vision
built and ran,got this error:
OpenPose/DLIB Gesture, Action and Face Recognition.
resolution: 640x480
net_resolution: 656x368
handNetInputSize: 368x368
face_net_resolution: 368x368
cCamera Resolution set to: 640x480
Push following keys:
p for pause sample generation
f for generating face samples
t for train samples
c for continue camera feed
h for display key commands
q for quit program
terminate called after throwing an instance of 'boost::archive::archive_exception'
what(): unsupported version
And this exception thrown from this file:line:32
https://github.com/srianant/computer_vision/blob/master/openpose/src/openpose/user_code/pose_model.cpp
I think it is trying to deserialized this file:
https://github.com/srianant/computer_vision/blob/master/openpose/train_data/pose/pose.model

Answer 1

You're probably doing something wrong: have you checked your boost version? It could just be (very) old.
I can deserialize all the input archives that use boost.
The only use of boost is in openpose_recognition.cpp, and the only archives being read are text archives from the training data.
It is easy to create a standalone program to verify that these file can be deserialized.
Creating The Minimal Declarations
Extracted from pose_model.hpp:
// Timesteps per samples
const int timesteps = 5; // 5 frames per sample
// 2-dim data to store different postures
const int max_pose_count = 10;
const int max_pose_score_pair = 36; // 34 pairs for pose + 2 padding for multiples of 4
typedef std::array<std::string, max_pose_count> pose;
typedef std::array<double,max_pose_score_pair*timesteps> pose_sample_type;
// 2-dim data to store different hand actions
const int max_hand_count = 10;
const int max_hand_score_pair = 40; // 40 pairs for hand
typedef std::array<std::string,max_hand_count> hand;
typedef std::array<double,max_hand_score_pair*timesteps> hand_sample_type;
// 2-dim data to store different faces
const int max_face_count = 10;
const int max_face_score_pair = 96; // 96 pairs (94 + 2 pairs for padding for multiples of 4)
typedef std::array<std::string,max_face_count> face;
typedef std::array<double,max_face_score_pair*timesteps> face_sample_type;
Test Method:
All extractions follow the same pattern, let's add a debug_print method later:
template <typename T>
void read_and_verify(std::string name, T& into) {
std::ifstream ifs("/tmp/so/computer_vision/openpose/train_data/" + name);
boost::archive::text_iarchive ia(ifs);
ia >> into;
debug_print(name, into);
}
Note: Adjust the path to match your file locations
Reading All The Archives:
int main() {
{
pose pose_names;
std::vector<pose_sample_type> pose_samples; // vector of m_pose_sample vectors
std::vector<double> pose_labels; // vector of pose labels (eg. 1,2,3...)
read_and_verify("pose/pose_names.txt", pose_names);
read_and_verify("pose/pose_samples.txt", pose_samples);
read_and_verify("pose/pose_labels.txt", pose_labels);
}
{
face face_names; // vector of face emotions names (eg. normal, sad, happy...)
std::vector<face_sample_type> face_samples; // vector of m_face_sample vectors
std::vector<double> face_labels; // vector of face emotions labels (eg. 1,2,3...)
read_and_verify("face/face_names.txt", face_names);
read_and_verify("face/face_samples.txt", face_samples);
read_and_verify("face/face_labels.txt", face_labels);
}
{
hand hand_names; // vector of hand gesture names (eg. fist, victory, stop...);
std::vector<hand_sample_type> left_hand_samples; // vector of m_left_hand_sample vectors
std::vector<hand_sample_type> right_hand_samples; // vector of m_right_hand_sample vectors
std::vector<double> left_hand_labels; // vector of left hand labels (eg. 1,2,3...)
std::vector<double> right_hand_labels; // vector of right hand labels (eg. 1,2,3...)
read_and_verify("hand/hand_names.txt", hand_names);
read_and_verify("hand/left_hand_samples.txt", left_hand_samples);
read_and_verify("hand/right_hand_samples.txt", right_hand_samples);
read_and_verify("hand/left_hand_labels.txt", left_hand_labels);
read_and_verify("hand/right_hand_labels.txt", right_hand_labels);
}
}
Printing Debug Info:
We need only three different debug_print overloads, for names, samples and labels:
template <size_t N> // names
void debug_print(std::string name, std::array<std::string, N> const& data) {
std::cout << name << ": ";
for (auto& n : data)
if (!n.empty())
std::cout << n << " ";
std::cout << "\n";
}
// labels
void debug_print(std::string name, std::vector<double> const& data) {
std::cout << name << ": ";
for (auto& a : data)
std::cout << a << " ";
std::cout << "\n";
}
template <size_t N> // samples
void debug_print(std::string name, std::vector<std::array<double, N> > const& data) {
std::cout << name << ": ";
for (auto& a : data)
std::cout << "{" << a[0] << "...} ";
std::cout << "\n";
}
DEMO TIME
The complete program is here:
Live On Coliru
#include <boost/archive/text_iarchive.hpp>
#include <boost/archive/text_oarchive.hpp>
#include <boost/serialization/array.hpp>
#include <boost/serialization/vector.hpp>
#include <fstream>
#include <iostream>
///////////////// from pose_model.hpp
//
// Timesteps per samples
const int timesteps = 5; // 5 frames per sample
// 2-dim data to store different postures
const int max_pose_count = 10;
const int max_pose_score_pair = 36; // 34 pairs for pose + 2 padding for multiples of 4
typedef std::array<std::string, max_pose_count> pose;
typedef std::array<double,max_pose_score_pair*timesteps> pose_sample_type;
// 2-dim data to store different hand actions
const int max_hand_count = 10;
const int max_hand_score_pair = 40; // 40 pairs for hand
typedef std::array<std::string,max_hand_count> hand;
typedef std::array<double,max_hand_score_pair*timesteps> hand_sample_type;
// 2-dim data to store different faces
const int max_face_count = 10;
const int max_face_score_pair = 96; // 96 pairs (94 + 2 pairs for padding for multiples of 4)
typedef std::array<std::string,max_face_count> face;
typedef std::array<double,max_face_score_pair*timesteps> face_sample_type;
//
///////////////// end pose_model.hpp
template <size_t N> // names
void debug_print(std::string name, std::array<std::string, N> const& data) {
std::cout << name << ": ";
for (auto& n : data)
if (!n.empty())
std::cout << n << " ";
std::cout << "\n";
}
// labels
void debug_print(std::string name, std::vector<double> const& data) {
std::cout << name << ": ";
for (auto& a : data)
std::cout << a << " ";
std::cout << "\n";
}
template <size_t N> // samples
void debug_print(std::string name, std::vector<std::array<double, N> > const& data) {
std::cout << name << ": ";
for (auto& a : data)
std::cout << "{" << a[0] << "...} ";
std::cout << "\n";
}
template <typename T>
void read_and_verify(std::string name, T& into) {
std::ifstream ifs("/tmp/so/computer_vision/openpose/train_data/" + name);
boost::archive::text_iarchive ia(ifs);
ia >> into;
debug_print(name, into);
}
int main() {
{
pose pose_names;
std::vector<pose_sample_type> pose_samples; // vector of m_pose_sample vectors
std::vector<double> pose_labels; // vector of pose labels (eg. 1,2,3...)
read_and_verify("pose/pose_names.txt", pose_names);
read_and_verify("pose/pose_samples.txt", pose_samples);
read_and_verify("pose/pose_labels.txt", pose_labels);
}
{
face face_names; // vector of face emotions names (eg. normal, sad, happy...)
std::vector<face_sample_type> face_samples; // vector of m_face_sample vectors
std::vector<double> face_labels; // vector of face emotions labels (eg. 1,2,3...)
read_and_verify("face/face_names.txt", face_names);
read_and_verify("face/face_samples.txt", face_samples);
read_and_verify("face/face_labels.txt", face_labels);
}
{
hand hand_names; // vector of hand gesture names (eg. fist, victory, stop...);
std::vector<hand_sample_type> left_hand_samples; // vector of m_left_hand_sample vectors
std::vector<hand_sample_type> right_hand_samples; // vector of m_right_hand_sample vectors
std::vector<double> left_hand_labels; // vector of left hand labels (eg. 1,2,3...)
std::vector<double> right_hand_labels; // vector of right hand labels (eg. 1,2,3...)
read_and_verify("hand/hand_names.txt", hand_names);
read_and_verify("hand/left_hand_samples.txt", left_hand_samples);
read_and_verify("hand/right_hand_samples.txt", right_hand_samples);
read_and_verify("hand/left_hand_labels.txt", left_hand_labels);
read_and_verify("hand/right_hand_labels.txt", right_hand_labels);
}
}
Printing (lines truncated at 100 characters):
pose/pose_names.txt: unknown close_to_camera standing sitting
pose/pose_samples.txt: {204.658...} {196.314...} {210.322...} {191.529...} {192.8...} {187.155...} {...
pose/pose_labels.txt: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...
face/face_names.txt: unknown normal happy sad surprise
face/face_samples.txt: {89.5967...} {93.7026...} {97.6529...} {91.7247...} {91.8048...} {91.3076...}...
face/face_labels.txt: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...
hand/hand_names.txt: unknown fist pinch wave victory stop thumbsup
hand/left_hand_samples.txt: {0...} {0.000524104...} {0...} {0...} {0...} {0...} {0...} {0...} {0...}...
hand/right_hand_samples.txt: {0...} {0.00166845...} {0.00161618...} {0.00176376...} {0.00167096...} ...
hand/left_hand_labels.txt: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1...
hand/right_hand_labels.txt: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 ...
BONUS:
I had to use a hack to circumvent the file-size limit on Coliru: I changed to code to read bzip2 compressed files:
#include <boost/iostreams/filter/bzip2.hpp>
#include <boost/iostreams/filtering_stream.hpp>
template <typename T>
void read_and_verify(std::string name, T& into) {
std::ifstream compressed("/tmp/so/computer_vision/openpose/train_data/" + name + ".bz2");
boost::iostreams::filtering_istream fs;
fs.push(boost::iostreams::bzip2_decompressor{});
fs.push(compressed);
boost::archive::text_iarchive ia(fs);
ia >> into;
debug_print(name, into);
}
Now you can actually see the output Live On Coliru

Answer 2

After replacing ::archive 14 with ::archive 12 in all txt files,this problem gone,#sehe thanks very much