#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 | |
Aligner * | NEW () |
Static Public Attributes | |
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.
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Implements EMAN::Aligner. Definition at line 180 of file aligner.h. References align(). 00181 { 00182 return align(this_img, to_img, "dot", Dict()); 00183 }
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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.
Implements EMAN::Aligner. Definition at line 123 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(), CudaPeakInfo::px, CudaPeakInfo::py, CudaPeakInfo::pz, EMAN::EMData::set_attr(), EMAN::Dict::set_default(), EMAN::Transform::set_trans(), t, UnexpectedBehaviorException, EMAN::EMData::update(), EMAN::Vec3f, and EMAN::EMData::zero_corner_circulant(). 00125 { 00126 if (!this_img) { 00127 return 0; 00128 } 00129 00130 if (to && !EMUtil::is_same_size(this_img, to)) 00131 throw ImageDimensionException("Images must be the same size to perform translational alignment"); 00132 00133 EMData *cf = 0; 00134 int nx = this_img->get_xsize(); 00135 int ny = this_img->get_ysize(); 00136 int nz = this_img->get_zsize(); 00137 00138 int masked = params.set_default("masked",0); 00139 int useflcf = params.set_default("useflcf",0); 00140 bool use_cpu = true; 00141 00142 #ifdef EMAN2_USING_CUDA 00143 if(EMData::usecuda == 1) { 00144 //if(!this_img->getcudarwdata()) this_img->copy_to_cuda(); 00145 //if(to && !to->getcudarwdata()) to->copy_to_cuda(); 00146 //if (masked) throw UnexpectedBehaviorException("Masked is not yet supported in CUDA"); 00147 //if (useflcf) throw UnexpectedBehaviorException("Useflcf is not yet supported in CUDA"); 00148 //cout << "Translate on GPU" << endl; 00149 //use_cpu = false; 00150 //cf = this_img->calc_ccf(to); 00151 } 00152 #endif // EMAN2_USING_CUDA 00153 00154 if (use_cpu) { 00155 if (useflcf) cf = this_img->calc_flcf(to); 00156 else cf = this_img->calc_ccf(to); 00157 } 00158 //return cf; 00159 // This is too expensive, esp for CUDA(we we can fix later 00160 if (masked) { 00161 EMData *msk=this_img->process("threshold.notzero"); 00162 EMData *sqr=to->process("math.squared"); 00163 EMData *cfn=msk->calc_ccf(sqr); 00164 cfn->process_inplace("math.sqrt"); 00165 float *d1=cf->get_data(); 00166 float *d2=cfn->get_data(); 00167 for (size_t i=0; i<(size_t)nx*ny*nz; ++i) { 00168 if (d2[i]!=0) d1[i]/=d2[i]; 00169 } 00170 cf->update(); 00171 delete msk; 00172 delete sqr; 00173 delete cfn; 00174 } 00175 00176 int maxshiftx = params.set_default("maxshift",-1); 00177 int maxshifty = params["maxshift"]; 00178 int maxshiftz = params["maxshift"]; 00179 int nozero = params["nozero"]; 00180 00181 if (maxshiftx <= 0) { 00182 maxshiftx = nx / 4; 00183 maxshifty = ny / 4; 00184 maxshiftz = nz / 4; 00185 } 00186 00187 if (maxshiftx > nx / 2 - 1) maxshiftx = nx / 2 - 1; 00188 if (maxshifty > ny / 2 - 1) maxshifty = ny / 2 - 1; 00189 if (maxshiftz > nz / 2 - 1) maxshiftz = nz / 2 - 1; 00190 00191 if (nx == 1) maxshiftx = 0; // This is justhere for completeness really... plus it saves errors 00192 if (ny == 1) maxshifty = 0; 00193 if (nz == 1) maxshiftz = 0; 00194 00195 // If nozero the portion of the image in the center (and its 8-connected neighborhood) is zeroed 00196 if (nozero) { 00197 cf->zero_corner_circulant(1); 00198 } 00199 00200 IntPoint peak; 00201 #ifdef EMAN2_USING_CUDA 00202 if (!use_cpu) { 00203 cout << "USe CUDA TA 2" << endl; 00204 if (nozero) throw UnexpectedBehaviorException("Nozero is not yet supported in CUDA"); 00205 CudaPeakInfo* data = calc_max_location_wrap_cuda(cf->getcudarwdata(), cf->get_xsize(), cf->get_ysize(), cf->get_zsize(), maxshiftx, maxshifty, maxshiftz); 00206 peak = IntPoint(data->px,data->py,data->pz); 00207 free(data); 00208 } 00209 #endif // EMAN2_USING_CUDA 00210 00211 if (use_cpu) { 00212 peak = cf->calc_max_location_wrap(maxshiftx, maxshifty, maxshiftz); 00213 } 00214 //cout << -peak[0] << " " << -peak[1] << " " << -peak[2] << endl; 00215 Vec3f cur_trans = Vec3f ( (float)-peak[0], (float)-peak[1], (float)-peak[2]); 00216 //cout << peak[0] << " " << peak[1] << endl; 00217 00218 if (!to) { 00219 cur_trans /= 2.0f; // If aligning theimage to itself then only go half way - 00220 int intonly = params.set_default("intonly",false); 00221 if (intonly) { 00222 cur_trans[0] = floor(cur_trans[0] + 0.5f); 00223 cur_trans[1] = floor(cur_trans[1] + 0.5f); 00224 cur_trans[2] = floor(cur_trans[2] + 0.5f); 00225 } 00226 } 00227 00228 if( cf ){ 00229 delete cf; 00230 cf = 0; 00231 } 00232 00233 Dict params("trans",static_cast< vector<int> >(cur_trans)); 00234 if (use_cpu){ 00235 cf=this_img->process("math.translate.int",params); 00236 } 00237 Transform t; 00238 t.set_trans(cur_trans); 00239 00240 #ifdef EMAN2_USING_CUDA 00241 if (!use_cpu) { 00242 cout << "USe CUDA TA 3" << endl; 00243 //this will work just fine.... 00244 cf = this_img->process("xform",Dict("transform",&t)); 00245 } 00246 #endif // EMAN2_USING_CUDA 00247 00248 if ( nz != 1 ) { 00249 // Transform* t = get_set_align_attr("xform.align3d",cf,this_img); 00250 // t->set_trans(cur_trans); 00251 cf->set_attr("xform.align3d",&t); 00252 } else if ( ny != 1 ) { 00253 //Transform* t = get_set_align_attr("xform.align2d",cf,this_img); 00254 cur_trans[2] = 0; // just make sure of it 00255 t.set_trans(cur_trans); 00256 cf->set_attr("xform.align2d",&t); 00257 } 00258 return cf; 00259 }
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Implements EMAN::Aligner. Definition at line 190 of file aligner.h. 00191 { 00192 return "Translational 2D and 3D alignment by cross-correlation"; 00193 }
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Get the Aligner's name. Each Aligner is identified by a unique name.
Implements EMAN::Aligner. Definition at line 185 of file aligner.h. 00186 {
00187 return NAME;
00188 }
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Implements EMAN::Aligner. Definition at line 200 of file aligner.h. References 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 }
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Definition at line 195 of file aligner.h. 00196 { 00197 return new TranslationalAligner(); 00198 }
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Definition at line 59 of file aligner.cpp. |