#include <aligner.h>
Inheritance diagram for EMAN::TranslationalAligner:
Public Member Functions | |
virtual EMData * | align (EMData *this_img, EMData *to_img, const string &cmp_name="dot", const Dict &cmp_params=Dict()) const |
To align 'this_img' with another image passed in through its parameters. | |
virtual EMData * | align (EMData *this_img, EMData *to_img) const |
virtual string | get_name () const |
Get the Aligner's name. | |
virtual string | get_desc () const |
virtual TypeDict | get_param_types () const |
Static Public Member Functions | |
static Aligner * | NEW () |
Static Public Attributes | |
static const string | NAME = "translational" |
It calculates the shift for a translational alignment, then do the translation.
intonly | Integer pixel translations only | |
maxshift | Maximum translation in pixels | |
nozero | Zero translation not permitted (useful for CCD images) |
Definition at line 174 of file aligner.h.
virtual EMData* EMAN::TranslationalAligner::align | ( | EMData * | this_img, | |
EMData * | to_img | |||
) | const [inline, virtual] |
Implements EMAN::Aligner.
Definition at line 180 of file aligner.h.
References align().
00181 { 00182 return align(this_img, to_img, "dot", Dict()); 00183 }
EMData * TranslationalAligner::align | ( | EMData * | this_img, | |
EMData * | to_img, | |||
const string & | cmp_name = "dot" , |
|||
const Dict & | cmp_params = Dict() | |||
) | const [virtual] |
To align 'this_img' with another image passed in through its parameters.
The alignment uses a user-given comparison method to compare the two images. If none is given, a default one is used.
this_img | The image to be compared. | |
to_img | 'this_img" is aligned with 'to_img'. | |
cmp_name | The comparison method to compare the two images. | |
cmp_params | The parameter dictionary for comparison method. |
Implements EMAN::Aligner.
Definition at line 118 of file aligner.cpp.
References EMAN::EMData::calc_ccf(), EMAN::EMData::calc_flcf(), EMAN::EMData::calc_max_location_wrap(), calc_max_location_wrap_cuda(), data, EMAN::EMData::get_data(), EMAN::EMData::get_xsize(), EMAN::EMData::get_ysize(), EMAN::EMData::get_zsize(), ImageDimensionException, EMAN::EMUtil::is_same_size(), nx, ny, EMAN::Aligner::params, EMAN::EMData::process(), EMAN::EMData::process_inplace(), EMAN::EMData::set_attr(), EMAN::Dict::set_default(), t, UnexpectedBehaviorException, EMAN::EMData::update(), and EMAN::EMData::zero_corner_circulant().
Referenced by align().
00120 { 00121 if (!this_img) { 00122 return 0; 00123 } 00124 00125 if (to && !EMUtil::is_same_size(this_img, to)) 00126 throw ImageDimensionException("Images must be the same size to perform translational alignment"); 00127 00128 EMData *cf = 0; 00129 int nx = this_img->get_xsize(); 00130 int ny = this_img->get_ysize(); 00131 int nz = this_img->get_zsize(); 00132 00133 int masked = params.set_default("masked",0); 00134 int useflcf = params.set_default("useflcf",0); 00135 bool use_cpu = true; 00136 00137 #ifdef EMAN2_USING_CUDA 00138 if(EMData::usecuda == 1) { 00139 //if(!this_img->getcudarwdata()) this_img->copy_to_cuda(); 00140 //if(to && !to->getcudarwdata()) to->copy_to_cuda(); 00141 //if (masked) throw UnexpectedBehaviorException("Masked is not yet supported in CUDA"); 00142 //if (useflcf) throw UnexpectedBehaviorException("Useflcf is not yet supported in CUDA"); 00143 //cout << "Translate on GPU" << endl; 00144 //use_cpu = false; 00145 //cf = this_img->calc_ccf(to); 00146 } 00147 #endif // EMAN2_USING_CUDA 00148 00149 if (use_cpu) { 00150 if (useflcf) cf = this_img->calc_flcf(to); 00151 else cf = this_img->calc_ccf(to); 00152 } 00153 //return cf; 00154 // This is too expensive, esp for CUDA(we we can fix later 00155 if (masked) { 00156 EMData *msk=this_img->process("threshold.notzero"); 00157 EMData *sqr=to->process("math.squared"); 00158 EMData *cfn=msk->calc_ccf(sqr); 00159 cfn->process_inplace("math.sqrt"); 00160 float *d1=cf->get_data(); 00161 float *d2=cfn->get_data(); 00162 for (size_t i=0; i<(size_t)nx*ny*nz; ++i) { 00163 if (d2[i]!=0) d1[i]/=d2[i]; 00164 } 00165 cf->update(); 00166 delete msk; 00167 delete sqr; 00168 delete cfn; 00169 } 00170 00171 int maxshiftx = params.set_default("maxshift",-1); 00172 int maxshifty = params["maxshift"]; 00173 int maxshiftz = params["maxshift"]; 00174 int nozero = params["nozero"]; 00175 00176 if (maxshiftx <= 0) { 00177 maxshiftx = nx / 4; 00178 maxshifty = ny / 4; 00179 maxshiftz = nz / 4; 00180 } 00181 00182 if (maxshiftx > nx / 2 - 1) maxshiftx = nx / 2 - 1; 00183 if (maxshifty > ny / 2 - 1) maxshifty = ny / 2 - 1; 00184 if (maxshiftz > nz / 2 - 1) maxshiftz = nz / 2 - 1; 00185 00186 if (nx == 1) maxshiftx = 0; // This is justhere for completeness really... plus it saves errors 00187 if (ny == 1) maxshifty = 0; 00188 if (nz == 1) maxshiftz = 0; 00189 00190 // If nozero the portion of the image in the center (and its 8-connected neighborhood) is zeroed 00191 if (nozero) { 00192 cf->zero_corner_circulant(1); 00193 } 00194 00195 IntPoint peak; 00196 #ifdef EMAN2_USING_CUDA 00197 if (!use_cpu) { 00198 cout << "USe CUDA TA 2" << endl; 00199 if (nozero) throw UnexpectedBehaviorException("Nozero is not yet supported in CUDA"); 00200 CudaPeakInfo* data = calc_max_location_wrap_cuda(cf->getcudarwdata(), cf->get_xsize(), cf->get_ysize(), cf->get_zsize(), maxshiftx, maxshifty, maxshiftz); 00201 peak = IntPoint(data->px,data->py,data->pz); 00202 free(data); 00203 } 00204 #endif // EMAN2_USING_CUDA 00205 00206 if (use_cpu) { 00207 peak = cf->calc_max_location_wrap(maxshiftx, maxshifty, maxshiftz); 00208 } 00209 //cout << -peak[0] << " " << -peak[1] << " " << -peak[2] << endl; 00210 Vec3f cur_trans = Vec3f ( (float)-peak[0], (float)-peak[1], (float)-peak[2]); 00211 //cout << peak[0] << " " << peak[1] << endl; 00212 00213 if (!to) { 00214 cur_trans /= 2.0f; // If aligning theimage to itself then only go half way - 00215 int intonly = params.set_default("intonly",false); 00216 if (intonly) { 00217 cur_trans[0] = floor(cur_trans[0] + 0.5f); 00218 cur_trans[1] = floor(cur_trans[1] + 0.5f); 00219 cur_trans[2] = floor(cur_trans[2] + 0.5f); 00220 } 00221 } 00222 00223 if( cf ){ 00224 delete cf; 00225 cf = 0; 00226 } 00227 00228 Dict params("trans",static_cast< vector<int> >(cur_trans)); 00229 if (use_cpu){ 00230 cf=this_img->process("math.translate.int",params); 00231 } 00232 Transform t; 00233 t.set_trans(cur_trans); 00234 00235 #ifdef EMAN2_USING_CUDA 00236 if (!use_cpu) { 00237 cout << "USe CUDA TA 3" << endl; 00238 //this will work just fine.... 00239 cf = this_img->process("xform",Dict("transform",&t)); 00240 } 00241 #endif // EMAN2_USING_CUDA 00242 00243 if ( nz != 1 ) { 00244 // Transform* t = get_set_align_attr("xform.align3d",cf,this_img); 00245 // t->set_trans(cur_trans); 00246 cf->set_attr("xform.align3d",&t); 00247 } else if ( ny != 1 ) { 00248 //Transform* t = get_set_align_attr("xform.align2d",cf,this_img); 00249 cur_trans[2] = 0; // just make sure of it 00250 t.set_trans(cur_trans); 00251 cf->set_attr("xform.align2d",&t); 00252 } 00253 return cf; 00254 }
virtual string EMAN::TranslationalAligner::get_desc | ( | ) | const [inline, virtual] |
virtual string EMAN::TranslationalAligner::get_name | ( | ) | const [inline, virtual] |
virtual TypeDict EMAN::TranslationalAligner::get_param_types | ( | ) | const [inline, virtual] |
Implements EMAN::Aligner.
Definition at line 200 of file aligner.h.
References EMAN::EMObject::INT, and EMAN::TypeDict::put().
00201 { 00202 TypeDict d; 00203 d.put("intonly", EMObject::INT,"Integer pixel translations only"); 00204 d.put("useflcf", EMObject::INT,"Use Fast Local Correlation Function rather than CCF"); 00205 d.put("maxshift", EMObject::INT,"Maximum translation in pixels"); 00206 d.put("masked", EMObject::INT,"Treat zero pixels in 'this' as a mask for normalization (default false)"); 00207 d.put("nozero", EMObject::INT,"Zero translation not permitted (useful for CCD images)"); 00208 return d; 00209 }
static Aligner* EMAN::TranslationalAligner::NEW | ( | ) | [inline, static] |
const string TranslationalAligner::NAME = "translational" [static] |