object_ptr interpreter::make_text (parameters &command) {
TRACE ('f', command);
string first = shift(command);
string font = "";
double size = 12.0; //Default size is 12 for text
//If conversion succeeds, then next string on list is the fontname,
//otherwise the string that couldn't be converted to a double is
//the fontname.
try{
size = from_string<double>(first);
font = shift(command);
}
catch (runtime_error &error){
font = first;
}
//At this point, the rest of the words are text to be printed.
string textdata{};
parameters::const_iterator itor = command.begin();
parameters::const_iterator end = command.end();
--end;
for(; itor != end; ++itor){
textdata += *itor + ' ';
}textdata += *itor;//remove trailing space
return make_shared<text> (font, points(size), textdata);
}
datasource_ptr datasource_cache::create(const parameters& params, bool bind)
{
boost::optional<std::string> type = params.get<std::string>("type");
if ( ! type)
{
throw config_error(std::string("Could not create datasource. Required ") +
"parameter 'type' is missing");
}
#ifdef MAPNIK_THREADSAFE
mutex::scoped_lock lock(mutex_);
#endif
datasource_ptr ds;
std::map<std::string,boost::shared_ptr<PluginInfo> >::iterator itr=plugins_.find(*type);
if ( itr == plugins_.end() )
{
throw config_error(std::string("Could not create datasource. No plugin ") +
"found for type '" + * type + "' (searched in: " + plugin_directories() + ")");
}
if ( ! itr->second->handle())
{
throw std::runtime_error(std::string("Cannot load library: ") +
lt_dlerror());
}
// http://www.mr-edd.co.uk/blog/supressing_gcc_warnings
#ifdef __GNUC__
__extension__
#endif
create_ds* create_datasource =
reinterpret_cast<create_ds*>(lt_dlsym(itr->second->handle(), "create"));
if (! create_datasource)
{
throw std::runtime_error(std::string("Cannot load symbols: ") +
lt_dlerror());
}
#ifdef MAPNIK_LOG
MAPNIK_LOG_DEBUG(datasource_cache) << "datasource_cache: Size=" << params.size();
parameters::const_iterator i = params.begin();
for (; i != params.end(); ++i)
{
MAPNIK_LOG_DEBUG(datasource_cache) << "datasource_cache: -- " << i->first << "=" << i->second;
}
#endif
ds = datasource_ptr(create_datasource(params, bind), datasource_deleter());
MAPNIK_LOG_DEBUG(datasource_cache) << "datasource_cache: Datasource=" << ds << " type=" << type;
return ds;
}
static return_type extract(parameters const& params,
std::string const& name,
boost::optional<T> const& default_opt_value)
{
boost::optional<T> result(default_opt_value);
parameters::const_iterator itr = params.find(name);
if (itr != params.end())
{
util::apply_visitor(value_extractor_visitor<T>(result),itr->second);
}
return result;
}
static boost::python::tuple
getstate(const parameters& p)
{
using namespace boost::python;
dict d;
parameters::const_iterator pos=p.begin();
while(pos!=p.end())
{
d[pos->first] = pos->second;
++pos;
}
return boost::python::make_tuple(d);
}
boost::python::list list_params(parameters& p)
{
boost::python::list l;
parameters::const_iterator pos=p.begin();
while(pos!=p.end())
{
boost::python::list vals;
pickle_value serializer( vals );
mapnik::value_holder val = pos->second;
boost::apply_visitor( serializer, val );
l.append(boost::python::make_tuple(pos->first,vals[0]));
++pos;
}
return l;
}
boost::python::dict dict_params(parameters& p)
{
boost::python::dict d;
parameters::const_iterator pos=p.begin();
while(pos!=p.end())
{
boost::python::list vals;
pickle_value serializer( vals );
mapnik::value_holder val = pos->second;
boost::apply_visitor( serializer, val );
d[pos->first] = vals[0];
++pos;
}
return d;
}
chained_datasource::chained_datasource(const parameters& params, bool _bind) :
datasource(params)
{
// Iterate over params and populate m_source_params
// from all parameters that start with "src_"
for (parameters::const_iterator iter=params.begin(); iter!=params.end(); iter++) {
const std::string &name(iter->first);
if (!boost::starts_with(name, "src_")) continue;
const std::string sub_name(name.substr(4));
source_params_[sub_name]=iter->second;
}
if (_bind) {
bind();
}
}
static boost::python::tuple
getstate(const parameters& p)
{
using namespace boost::python;
dict d;
parameters::const_iterator pos=p.begin();
while(pos!=p.end())
{
boost::python::list vals;
pickle_value serializer( vals );
mapnik::value_holder val = pos->second;
boost::apply_visitor( serializer, val );
d[pos->first] = vals[0];
++pos;
}
return boost::python::make_tuple(d);
}
matches im_utility::diff(const std::string &im_file1, const std::string &im_file2, const parameters ¶ms, key_points *im1_kps, key_points *im2_kps)
{
using namespace cv;
matches mt;
std::vector<KeyPoint> im1_key_points, im2_key_points;
std::vector<DMatch> matches;
std::vector<DMatch> good_matches;
double min_hessian = 400.0;
if (params.find(key_hessian_threshold) != params.end()) min_hessian = params.at(key_hessian_threshold);
double sigma = 2.0;
if (params.find(key_match_threshold) != params.end()) sigma = params.at(key_match_threshold);
int speedup = speedup_default;
if (params.find(key_speedup) != params.end())
speedup = params.at(key_speedup);
//auto info = getBuildInformation();
if (speedup == speedup_use_cuda)
{
using namespace gpu;
DeviceInfo dev;
auto name = dev.name();
GpuMat img1, img2;
// upload data
img1.upload(imread(im_file1, CV_LOAD_IMAGE_GRAYSCALE));
img2.upload(imread(im_file2, CV_LOAD_IMAGE_GRAYSCALE));
// detect keypoints & computing descriptors
SURF_GPU surf;
GpuMat kps_gpu1, kps_gpu2;
GpuMat desc_gpu1, desc_gpu2;
surf(img1, GpuMat(), kps_gpu1, desc_gpu1);
surf(img2, GpuMat(), kps_gpu2, desc_gpu2);
// matching descriptors
BFMatcher_GPU matcher_gpu(NORM_L2);
GpuMat trainIdx, distance;
matcher_gpu.matchSingle(desc_gpu1, desc_gpu2, trainIdx, distance);
// download results
std::vector<float> desc1, desc2;
surf.downloadKeypoints(kps_gpu1, im1_key_points);
surf.downloadKeypoints(kps_gpu2, im2_key_points);
surf.downloadDescriptors(desc_gpu1, desc1);
surf.downloadDescriptors(desc_gpu2, desc2);
BFMatcher_GPU::matchDownload(trainIdx, distance, matches);
good_matches = matches;
}
else if (speedup == speedup_use_ocl)
{
using namespace ocl;
DevicesInfo devs;
getOpenCLDevices(devs, CVCL_DEVICE_TYPE_GPU);
int dev = 0;
if (params.find(key_ocl_dev) != params.end())
dev = params.at(key_ocl_dev);
if (dev < 0 || dev >= devs.size()) dev = 0;
setDevice(devs[dev]);
SURF_OCL surf(800.0);
BFMatcher_OCL matcher(NORM_L2);
oclMat desc1, desc2;
oclMat im1, im2;
im1 = imread(im_file1, CV_LOAD_IMAGE_GRAYSCALE);
im2 = imread(im_file2, CV_LOAD_IMAGE_GRAYSCALE);
surf(im1, oclMat(), im1_key_points, desc1);
surf(im2, oclMat(), im2_key_points, desc2);
matcher.match(desc1, desc2, matches);
double max_dist = 0;
double min_dist = 100;
for (int i = 0; i < desc1.rows; i++)
{
double dist = matches[i].distance;
if (dist < min_dist) min_dist = dist;
if (dist > max_dist) max_dist = dist;
}
for (int i = 0; i < desc1.rows; i++)
{
if (matches[i].distance <= max(sigma * min_dist, 0.02))
{
good_matches.push_back(matches[i]);
}
}
}
else
{
auto get_file_desc = [](const std::string &filename, double min_hessian, std::vector<cv::KeyPoint> *out_key_points)
{
using namespace cv;
Mat desc;
Mat img = imread(filename, CV_LOAD_IMAGE_GRAYSCALE);
if (!img.data) return desc;
SurfFeatureDetector detecter(min_hessian);
std::vector<KeyPoint> key_points;
detecter.detect(img, key_points);
if (out_key_points) *out_key_points = key_points;
if (key_points.empty())
{
std::cout << "no feature detected: " << filename << std::endl;
return desc;
}
SurfDescriptorExtractor extractor;
extractor.compute(img, key_points, desc);
return desc;
};
auto im1_desc = get_file_desc(im_file1, min_hessian, &im1_key_points);
auto im2_desc = get_file_desc(im_file2, min_hessian, &im2_key_points);
FlannBasedMatcher matcher;
matcher.match(im1_desc, im2_desc, matches);
double max_dist = 0;
double min_dist = 100;
for (int i = 0; i < im1_desc.rows; i++)
{
double dist = matches[i].distance;
if (dist < min_dist) min_dist = dist;
if (dist > max_dist) max_dist = dist;
}
for (int i = 0; i < im1_desc.rows; i++)
{
if (matches[i].distance <= max(sigma * min_dist, 0.02))
{
good_matches.push_back(matches[i]);
}
}
}
auto conv_keypoint = [](const std::vector<KeyPoint> &kps)
{
key_points out;
std::transform(kps.begin(), kps.end(), std::back_inserter(out), [](const KeyPoint &kp){
//return key_point{ kp.pt.x, kp.pt.y, kp.size, kp.angle };
key_point p;
p.x = kp.pt.x;
p.y = kp.pt.y;
p.size = kp.size;
p.angle = kp.angle;
return p;
});
return out;
};
auto kps1 = conv_keypoint(im1_key_points);
auto kps2 = conv_keypoint(im2_key_points);
if (im1_kps)
*im1_kps = kps1;
if (im2_kps)
*im2_kps = kps2;
std::transform(good_matches.begin(), good_matches.end(), std::back_inserter(mt), [&](const DMatch &m)
{
//return match{ kps1[m.queryIdx] , kps2[m.trainIdx] , m.distance };
match ma;
ma.pt1 = kps1[m.queryIdx];
ma.pt2 = kps2[m.trainIdx];
ma.distance = m.distance;
return ma;
});
return mt;
}
datasource_ptr datasource_cache::create(parameters const& params)
{
boost::optional<std::string> type = params.get<std::string>("type");
if ( ! type)
{
throw config_error(std::string("Could not create datasource. Required ") +
"parameter 'type' is missing");
}
datasource_ptr ds;
#ifdef MAPNIK_STATIC_PLUGINS
// return if it's created, raise otherwise
ds = create_static_datasource(params);
if (ds)
{
return ds;
}
#endif
#ifdef MAPNIK_THREADSAFE
mapnik::scoped_lock lock(mutex_);
#endif
std::map<std::string,std::shared_ptr<PluginInfo> >::iterator itr=plugins_.find(*type);
if (itr == plugins_.end())
{
std::string s("Could not create datasource for type: '");
s += *type + "'";
if (plugin_directories_.empty())
{
s += " (no datasource plugin directories have been successfully registered)";
}
else
{
s += " (searched for datasource plugins in '" + plugin_directories() + "')";
}
throw config_error(s);
}
if (! itr->second->valid())
{
throw std::runtime_error(std::string("Cannot load library: ") +
itr->second->get_error());
}
// http://www.mr-edd.co.uk/blog/supressing_gcc_warnings
#ifdef __GNUC__
__extension__
#endif
create_ds* create_datasource = reinterpret_cast<create_ds*>(itr->second->get_symbol("create"));
if (! create_datasource)
{
throw std::runtime_error(std::string("Cannot load symbols: ") +
itr->second->get_error());
}
ds = datasource_ptr(create_datasource(params), datasource_deleter());
#ifdef MAPNIK_LOG
MAPNIK_LOG_DEBUG(datasource_cache)
<< "datasource_cache: Datasource="
<< ds << " type=" << type;
MAPNIK_LOG_DEBUG(datasource_cache)
<< "datasource_cache: Size="
<< params.size();
parameters::const_iterator i = params.begin();
for (; i != params.end(); ++i)
{
MAPNIK_LOG_DEBUG(datasource_cache)
<< "datasource_cache: -- "
<< i->first << "=" << i->second;
}
#endif
return ds;
}
