CameraImages.cpp
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1 /*
2 Copyright (c) 2010-2016, Mathieu Labbe - IntRoLab - Universite de Sherbrooke
3 All rights reserved.
4 
5 Redistribution and use in source and binary forms, with or without
6 modification, are permitted provided that the following conditions are met:
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8  notice, this list of conditions and the following disclaimer.
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15 
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27 
28 #include <rtabmap/core/camera/CameraImages.h>
29 #include <rtabmap/utilite/UConversion.h>
30 #include <rtabmap/utilite/UDirectory.h>
31 #include <rtabmap/utilite/UStl.h>
32 #include <rtabmap/utilite/UFile.h>
33 #include <rtabmap/utilite/UThreadC.h>
34 #include <rtabmap/core/util3d.h>
35 #include <rtabmap/core/util3d_filtering.h>
36 #include <rtabmap/core/Graph.h>
37 #include <opencv2/imgproc/types_c.h>
38 #include <fstream>
39 
40 namespace rtabmap
41 {
42 
43 CameraImages::CameraImages() :
44  _startAt(0),
45  _maxFrames(0),
46  _refreshDir(false),
47  _rectifyImages(false),
48  _bayerMode(-1),
49  _isDepth(false),
50  _depthScaleFactor(1.0f),
51  _count(0),
52  _framesPublished(0),
53  _dir(0),
54  _countScan(0),
55  _scanDir(0),
56  _scanLocalTransform(Transform::getIdentity()),
57  _scanMaxPts(0),
58  _depthFromScan(false),
59  _depthFromScanFillHoles(1),
60  _depthFromScanFillHolesFromBorder(false),
61  _filenamesAreTimestamps(false),
62  _hasConfigForEachFrame(false),
63  _syncImageRateWithStamps(true),
64  _odometryFormat(0),
65  _groundTruthFormat(0),
66  _maxPoseTimeDiff(0.02),
67  _captureDelay(0.0)
68  {}
69 CameraImages::CameraImages(const std::string & path,
70  float imageRate,
71  const Transform & localTransform) :
72  Camera(imageRate, localTransform),
73  _path(path),
74  _startAt(0),
75  _maxFrames(0),
76  _refreshDir(false),
77  _rectifyImages(false),
78  _bayerMode(-1),
79  _isDepth(false),
80  _depthScaleFactor(1.0f),
81  _count(0),
82  _framesPublished(0),
83  _dir(0),
84  _countScan(0),
85  _scanDir(0),
86  _scanLocalTransform(Transform::getIdentity()),
87  _scanMaxPts(0),
88  _depthFromScan(false),
89  _depthFromScanFillHoles(1),
90  _depthFromScanFillHolesFromBorder(false),
91  _filenamesAreTimestamps(false),
92  _hasConfigForEachFrame(false),
93  _syncImageRateWithStamps(true),
94  _odometryFormat(0),
95  _groundTruthFormat(0),
96  _maxPoseTimeDiff(0.02),
97  _captureDelay(0.0)
98 {
99 
100 }
101 
102 CameraImages::~CameraImages()
103 {
104  UDEBUG("");
105  delete _dir;
106  delete _scanDir;
107 }
108 
109 bool CameraImages::init(const std::string & calibrationFolder, const std::string & cameraName)
110 {
111  _lastFileName.clear();
112  _lastScanFileName.clear();
113  _count = 0;
114  _countScan = 0;
115  _captureDelay = 0.0;
116  _framesPublished=0;
117  _model = cameraModel();
118  _models.clear();
119  covariances_.clear();
120 
121  UDEBUG("");
122  if(_dir)
123  {
124  delete _dir;
125  _dir = 0;
126  }
127  if(!_path.empty())
128  {
129  _dir = new UDirectory(_path, "jpg ppm png bmp pnm tiff pgm");
130  if(_path[_path.size()-1] != '\\' && _path[_path.size()-1] != '/')
131  {
132  _path.append("/");
133  }
134  if(!_dir->isValid())
135  {
136  ULOGGER_ERROR("Directory path is not valid \"%s\"", _path.c_str());
137  delete _dir;
138  _dir = 0;
139  }
140  else if(_dir->getFileNames().size() == 0)
141  {
142  UWARN("Directory is empty \"%s\"", _path.c_str());
143  delete _dir;
144  _dir = 0;
145  }
146  else
147  {
148  UINFO("path=%s images=%d", _path.c_str(), (int)this->imagesCount());
149  }
150  }
151 
152  // check for scan directory
153  if(_scanDir)
154  {
155  delete _scanDir;
156  _scanDir = 0;
157  }
158  if(!_scanPath.empty())
159  {
160  UINFO("scan path=%s", _scanPath.c_str());
161  _scanDir = new UDirectory(_scanPath, "pcd bin ply"); // "bin" is for KITTI format
162  if(_scanPath[_scanPath.size()-1] != '\\' && _scanPath[_scanPath.size()-1] != '/')
163  {
164  _scanPath.append("/");
165  }
166  if(!_scanDir->isValid())
167  {
168  UERROR("Scan directory path is not valid \"%s\"", _scanPath.c_str());
169  delete _scanDir;
170  _scanDir = 0;
171  }
172  else if(_scanDir->getFileNames().size() == 0)
173  {
174  UWARN("Scan directory is empty \"%s\"", _scanPath.c_str());
175  delete _scanDir;
176  _scanDir = 0;
177  }
178  else if(_dir && _scanDir->getFileNames().size() != _dir->getFileNames().size())
179  {
180  UERROR("Scan and image directories should be the same size \"%s\"(%d) vs \"%s\"(%d)",
181  _scanPath.c_str(),
182  (int)_scanDir->getFileNames().size(),
183  _path.c_str(),
184  (int)_dir->getFileNames().size());
185  delete _scanDir;
186  _scanDir = 0;
187  }
188  else
189  {
190  UINFO("path=%s scans=%d", _scanPath.c_str(), (int)this->imagesCount());
191  }
192  }
193 
194  if(_dir==0 && _scanDir == 0)
195  {
196  ULOGGER_ERROR("Images path or scans path should be set!");
197  return false;
198  }
199 
200  if(_dir)
201  {
202  // look for calibration files
203  UINFO("calibration folder=%s name=%s", calibrationFolder.c_str(), cameraName.c_str());
204  if(!calibrationFolder.empty() && !cameraName.empty())
205  {
206  if(!_model.load(calibrationFolder, cameraName))
207  {
208  UWARN("Missing calibration files for camera \"%s\" in \"%s\" folder, you should calibrate the camera!",
209  cameraName.c_str(), calibrationFolder.c_str());
210  }
211  else
212  {
213  UINFO("Camera parameters: fx=%f fy=%f cx=%f cy=%f",
214  _model.fx(),
215  _model.fy(),
216  _model.cx(),
217  _model.cy());
218 
219  cv::FileStorage fs(calibrationFolder+"/"+cameraName+".yaml", 0);
220  cv::FileNode poseNode = fs["local_transform"];
221  if(!poseNode.isNone())
222  {
223  UWARN("Using local transform from calibration file (%s) instead of the parameter one (%s).",
224  _model.localTransform().prettyPrint().c_str(),
225  this->getLocalTransform().prettyPrint().c_str());
226  this->setLocalTransform(_model.localTransform());
227  }
228  }
229  }
230  _model.setName(cameraName);
231 
232  _model.setLocalTransform(this->getLocalTransform());
233  if(_rectifyImages && !_model.isValidForRectification())
234  {
235  UERROR("Parameter \"rectifyImages\" is set, but no camera model is loaded or valid.");
236  return false;
237  }
238  }
239 
240  bool success = _dir|| _scanDir;
241  _stamps.clear();
242  odometry_.clear();
243  groundTruth_.clear();
244  if(success)
245  {
246  if(_dir && _hasConfigForEachFrame)
247  {
248 #if CV_MAJOR_VERSION < 3 || (CV_MAJOR_VERSION == 3 && CV_MAJOR_VERSION < 2)
249  UDirectory dirJson(_path, "yaml xml");
250 #else
251  UDirectory dirJson(_path, "yaml xml json");
252 #endif
253  if(dirJson.getFileNames().size() == _dir->getFileNames().size())
254  {
255  bool modelsWarned = false;
256  bool localTWarned = false;
257  for(std::list<std::string>::const_iterator iter=dirJson.getFileNames().begin(); iter!=dirJson.getFileNames().end() && success; ++iter)
258  {
259  std::string filePath = _path+"/"+*iter;
260  cv::FileStorage fs(filePath, 0);
261  cv::FileNode poseNode = fs["cameraPoseARFrame"]; // Check if it is 3DScannerApp(iOS) format
262  if(poseNode.isNone())
263  {
264  cv::FileNode n = fs["local_transform"];
265  bool hasLocalTransform = !n.isNone();
266 
267  fs.release();
268  if(_model.isValidForProjection() && !modelsWarned)
269  {
270  UWARN("Camera model loaded for each frame is overridden by "
271  "general calibration file provided. Remove general calibration "
272  "file to use camera model of each frame. This warning will "
273  "be shown only one time.");
274  modelsWarned = true;
275  }
276  else
277  {
278  CameraModel model;
279  model.load(filePath);
280 
281  if(!hasLocalTransform)
282  {
283  if(!localTWarned)
284  {
285  UWARN("Loaded calibration file doesn't have local_transform field, "
286  "the global local_transform parameter is used by default (%s).",
287  this->getLocalTransform().prettyPrint().c_str());
288  localTWarned = true;
289  }
290  model.setLocalTransform(this->getLocalTransform());
291  }
292 
293  _models.push_back(model);
294  }
295  }
296  else
297  {
298  cv::FileNode timeNode = fs["time"];
299  cv::FileNode intrinsicsNode = fs["intrinsics"];
300  if(poseNode.isNone() || poseNode.size() != 16)
301  {
302  UERROR("Failed reading \"cameraPoseARFrame\" parameter, it should have 16 values (file=%s)", filePath.c_str());
303  success = false;
304  break;
305  }
306  else if(timeNode.isNone() || !timeNode.isReal())
307  {
308  UERROR("Failed reading \"time\" parameter (file=%s)", filePath.c_str());
309  success = false;
310  break;
311  }
312  else if(intrinsicsNode.isNone() || intrinsicsNode.size()!=9)
313  {
314  UERROR("Failed reading \"intrinsics\" parameter (file=%s)", filePath.c_str());
315  success = false;
316  break;
317  }
318  else
319  {
320  _stamps.push_back((double)timeNode);
321  if(_model.isValidForProjection() && !modelsWarned)
322  {
323  UWARN("Camera model loaded for each frame is overridden by "
324  "general calibration file provided. Remove general calibration "
325  "file to use camera model of each frame. This warning will "
326  "be shown only one time.");
327  modelsWarned = true;
328  }
329  else
330  {
331  _models.push_back(CameraModel(
332  (double)intrinsicsNode[0], //fx
333  (double)intrinsicsNode[4], //fy
334  (double)intrinsicsNode[2], //cx
335  (double)intrinsicsNode[5], //cy
336  CameraModel::opticalRotation()));
337  }
338  // we need to rotate from opengl world to rtabmap world
339  Transform pose(
340  (float)poseNode[0], (float)poseNode[1], (float)poseNode[2], (float)poseNode[3],
341  (float)poseNode[4], (float)poseNode[5], (float)poseNode[6], (float)poseNode[7],
342  (float)poseNode[8], (float)poseNode[9], (float)poseNode[10], (float)poseNode[11]);
343  pose = Transform::rtabmap_T_opengl() * pose * Transform::opengl_T_rtabmap();
344  odometry_.push_back(pose);
345  }
346  }
347  }
348  if(!success)
349  {
350  odometry_.clear();
351  _stamps.clear();
352  _models.clear();
353  }
354  }
355  else
356  {
357  std::string opencv32warn;
358 #if CV_MAJOR_VERSION < 3 || (CV_MAJOR_VERSION == 3 && CV_MAJOR_VERSION < 2)
359  opencv32warn = " RTAB-Map is currently built with OpenCV < 3.2, only xml and yaml files are supported (not json).";
360 #endif
361  UERROR("Parameter \"Config for each frame\" is true, but the "
362  "number of config files (%d) is not equal to number "
363  "of images (%d) in this directory \"%s\".%s",
364  (int)dirJson.getFileNames().size(),
365  (int)_dir->getFileNames().size(),
366  _path.c_str(),
367  opencv32warn.c_str());
368  success = false;
369  }
370  }
371 
372  if(_stamps.empty())
373  {
374  if(_filenamesAreTimestamps)
375  {
376  std::list<std::string> filenames = _dir?_dir->getFileNames():_scanDir->getFileNames();
377  for(std::list<std::string>::const_iterator iter=filenames.begin(); iter!=filenames.end(); ++iter)
378  {
379  // format is text_1223445645.12334_text.png or text_122344564512334_text.png
380  // If no decimals, 10 first number are the seconds
381  std::list<std::string> list = uSplit(*iter, '.');
382  if(list.size() == 3 || list.size() == 2)
383  {
384  list.pop_back(); // remove extension
385  double stamp = 0.0;
386  if(list.size() == 1)
387  {
388  std::list<std::string> numberList = uSplitNumChar(list.front());
389  for(std::list<std::string>::iterator iter=numberList.begin(); iter!=numberList.end(); ++iter)
390  {
391  if(uIsNumber(*iter))
392  {
393  std::string decimals;
394  std::string sec;
395  if(iter->length()>10)
396  {
397  decimals = iter->substr(10, iter->size()-10);
398  sec = iter->substr(0, 10);
399  }
400  else
401  {
402  sec = *iter;
403  }
404  stamp = uStr2Double(sec + "." + decimals);
405  break;
406  }
407  }
408  }
409  else
410  {
411  std::string decimals = uSplitNumChar(list.back()).front();
412  list.pop_back();
413  std::string sec = uSplitNumChar(list.back()).back();
414  stamp = uStr2Double(sec + "." + decimals);
415  }
416  if(stamp > 0.0)
417  {
418  _stamps.push_back(stamp);
419  }
420  else
421  {
422  UERROR("Conversion filename to timestamp failed! (filename=%s)", iter->c_str());
423  }
424  }
425  }
426  if(_stamps.size() != this->imagesCount())
427  {
428  UERROR("The stamps count is not the same as the images (%d vs %d)! "
429  "Converting filenames to timestamps is activated.",
430  (int)_stamps.size(), this->imagesCount());
431  _stamps.clear();
432  success = false;
433  }
434  }
435  else if(_timestampsPath.size())
436  {
437  std::ifstream file;
438  file.open(_timestampsPath.c_str(), std::ifstream::in);
439  while(file.good())
440  {
441  std::string str;
442  std::getline(file, str);
443 
444  if(str.empty() || str.at(0) == '#' || str.at(0) == '%')
445  {
446  continue;
447  }
448 
449  std::list<std::string> strList = uSplit(str, ' ');
450  std::string stampStr = strList.front();
451  if(strList.size() == 2)
452  {
453  // format "seconds millisec"
454  // the millisec str needs 0-padding if size < 6
455  std::string millisecStr = strList.back();
456  while(millisecStr.size() < 6)
457  {
458  millisecStr = "0" + millisecStr;
459  }
460  stampStr = stampStr+'.'+millisecStr;
461  }
462  _stamps.push_back(uStr2Double(stampStr));
463  }
464 
465  file.close();
466 
467  if(_stamps.size() != this->imagesCount())
468  {
469  UERROR("The stamps count (%d) is not the same as the images (%d)! Please remove "
470  "the timestamps file path if you don't want to use them (current file path=%s).",
471  (int)_stamps.size(), this->imagesCount(), _timestampsPath.c_str());
472  _stamps.clear();
473  success = false;
474  }
475  }
476  }
477 
478  if(success && _odometryPath.size() && odometry_.empty())
479  {
480  success = readPoses(odometry_, _stamps, _odometryPath, _odometryFormat, _maxPoseTimeDiff);
481  }
482 
483  if(success && _groundTruthPath.size())
484  {
485  success = readPoses(groundTruth_, _stamps, _groundTruthPath, _groundTruthFormat, _maxPoseTimeDiff);
486  }
487 
488  if(!odometry_.empty())
489  {
490  for(size_t i=0; i<odometry_.size(); ++i)
491  {
492  // linear cov = 0.0001
493  cv::Mat covariance = cv::Mat::eye(6,6,CV_64FC1) * (i==0?9999.0:0.0001);
494  if(i!=0)
495  {
496  // angular cov = 0.000001
497  covariance.at<double>(3,3) *= 0.01;
498  covariance.at<double>(4,4) *= 0.01;
499  covariance.at<double>(5,5) *= 0.01;
500  }
501  covariances_.push_back(covariance);
502  }
503  }
504  }
505 
506  _captureTimer.restart();
507 
508  return success;
509 }
510 
511 bool CameraImages::readPoses(
512  std::list<Transform> & outputPoses,
513  std::list<double> & inOutStamps,
514  const std::string & filePath,
515  int format,
516  double maxTimeDiff) const
517 {
518  outputPoses.clear();
519  std::map<int, Transform> poses;
520  std::map<int, double> stamps;
521  if(!graph::importPoses(filePath, format, poses, 0, &stamps))
522  {
523  UERROR("Cannot read pose file \"%s\".", filePath.c_str());
524  return false;
525  }
526  else if((format != 1 && format != 10 && format != 5 && format != 6 && format != 7 && format != 9) && poses.size() != this->imagesCount())
527  {
528  UERROR("The pose count is not the same as the images (%d vs %d)! Please remove "
529  "the pose file path if you don't want to use it (current file path=%s).",
530  (int)poses.size(), this->imagesCount(), filePath.c_str());
531  return false;
532  }
533  else if((format == 1 || format == 10 || format == 5 || format == 6 || format == 7 || format == 9) && (inOutStamps.empty() && stamps.size()!=poses.size()))
534  {
535  UERROR("When using RGBD-SLAM, GPS, MALAGA, ST LUCIA and EuRoC MAV formats, images must have timestamps!");
536  return false;
537  }
538  else if(format == 1 || format == 10 || format == 5 || format == 6 || format == 7 || format == 9)
539  {
540  UDEBUG("");
541  //Match ground truth values with images
542  outputPoses.clear();
543  std::map<double, int> stampsToIds;
544  for(std::map<int, double>::iterator iter=stamps.begin(); iter!=stamps.end(); ++iter)
545  {
546  stampsToIds.insert(std::make_pair(iter->second, iter->first));
547  }
548  std::vector<double> values = uValues(stamps);
549 
550  if(inOutStamps.empty())
551  {
552  inOutStamps = uValuesList(stamps);
553  }
554 
555  int validPoses = 0;
556  for(std::list<double>::iterator ster=inOutStamps.begin(); ster!=inOutStamps.end(); ++ster)
557  {
558  Transform pose; // null transform
559  std::map<double, int>::iterator endIter = stampsToIds.lower_bound(*ster);
560  bool warned = false;
561  if(endIter != stampsToIds.end())
562  {
563  if(endIter->first == *ster)
564  {
565  pose = poses.at(endIter->second);
566  ++validPoses;
567  }
568  else if(endIter != stampsToIds.begin())
569  {
570  //interpolate
571  std::map<double, int>::iterator beginIter = endIter;
572  --beginIter;
573  double stampBeg = beginIter->first;
574  double stampEnd = endIter->first;
575  UASSERT(stampEnd > stampBeg && *ster>stampBeg && *ster < stampEnd);
576  if(fabs(*ster-stampEnd) > maxTimeDiff || fabs(*ster-stampBeg) > maxTimeDiff)
577  {
578  if(!warned)
579  {
580  UWARN("Cannot interpolate pose for stamp %f between %f and %f (> maximum time diff of %f sec)",
581  *ster,
582  stampBeg,
583  stampEnd,
584  maxTimeDiff);
585  }
586  warned=true;
587  }
588  else
589  {
590  warned=false;
591  float t = (*ster - stampBeg) / (stampEnd-stampBeg);
592  Transform & ta = poses.at(beginIter->second);
593  Transform & tb = poses.at(endIter->second);
594  if(!ta.isNull() && !tb.isNull())
595  {
596  ++validPoses;
597  pose = ta.interpolate(t, tb);
598  }
599  }
600  }
601  }
602  if(pose.isNull() && !warned)
603  {
604  UDEBUG("Pose not found for stamp %f", *ster);
605  }
606  outputPoses.push_back(pose);
607  }
608  if(validPoses != (int)inOutStamps.size())
609  {
610  UWARN("%d valid poses of %d stamps", validPoses, (int)inOutStamps.size());
611  }
612  }
613  else
614  {
615  UDEBUG("");
616  outputPoses = uValuesList(poses);
617  if(inOutStamps.size() == 0 && stamps.size() == poses.size())
618  {
619  inOutStamps = uValuesList(stamps);
620  }
621  else if(format==8 && inOutStamps.size() == 0 && stamps.size()>0 && stamps.size() != poses.size())
622  {
623  UERROR("With Karlsruhe format, timestamps (%d) and poses (%d) should match!", (int)stamps.size(), (int)poses.size());
624  return false;
625  }
626  else if(!outputPoses.empty() && inOutStamps.empty() && stamps.empty())
627  {
628  UERROR("Timestamps are empty (poses=%d)! Forgot the set a timestamp file?", (int)outputPoses.size());
629  return false;
630  }
631  }
632  UASSERT_MSG(outputPoses.size() == inOutStamps.size(), uFormat("%d vs %d", (int)outputPoses.size(), (int)inOutStamps.size()).c_str());
633  return true;
634 }
635 
636 bool CameraImages::isCalibrated() const
637 {
638  return (_dir && (_model.isValidForProjection() || (_models.size() && _models.front().isValidForProjection()))) ||
639  _scanDir;
640 }
641 
642 std::string CameraImages::getSerial() const
643 {
644  return _model.name();
645 }
646 
647 unsigned int CameraImages::imagesCount() const
648 {
649  if(_dir)
650  {
651  return (unsigned int)_dir->getFileNames().size();
652  }
653  else if(_scanDir)
654  {
655  return (unsigned int)_scanDir->getFileNames().size();
656  }
657  return 0;
658 }
659 
660 std::vector<std::string> CameraImages::filenames() const
661 {
662  if(_dir)
663  {
664  return uListToVector(_dir->getFileNames());
665  }
666  else if(_scanDir)
667  {
668  return uListToVector(_scanDir->getFileNames());
669  }
670  return std::vector<std::string>();
671 }
672 
673 SensorData CameraImages::captureImage(SensorCaptureInfo * info)
674 {
675  if(_syncImageRateWithStamps && _captureDelay>0.0)
676  {
677  int sleepTime = (1000*_captureDelay - 1000.0f*_captureTimer.getElapsedTime());
678  if(sleepTime > 2)
679  {
680  uSleep(sleepTime-2);
681  }
682  else if(sleepTime < 0)
683  {
684  if(this->getImageRate() > 0.0f)
685  {
686  UWARN("CameraImages: Cannot read images as fast as their timestamps (target delay=%fs, capture time=%fs). Disable "
687  "source image rate or disable synchronization of capture time with timestamps.",
688  _captureDelay, _captureTimer.getElapsedTime());
689  }
690  else
691  {
692  UWARN("CameraImages: Cannot read images as fast as their timestamps (target delay=%fs, capture time=%fs).",
693  _captureDelay, _captureTimer.getElapsedTime());
694  }
695  }
696 
697  // Add precision at the cost of a small overhead
698  while(_captureTimer.getElapsedTime() < _captureDelay-0.000001)
699  {
700  //
701  }
702  _captureTimer.start();
703  }
704  _captureDelay = 0.0;
705 
706  cv::Mat img;
707  LaserScan scan(cv::Mat(), _scanMaxPts, 0, LaserScan::kUnknown, _scanLocalTransform);
708  double stamp = UTimer::now();
709  Transform odometryPose;
710  cv::Mat covariance;
711  Transform groundTruthPose;
712  cv::Mat depthFromScan;
713  CameraModel model = _model;
714  UDEBUG("");
715  if(_dir || _scanDir)
716  {
717  if(_refreshDir)
718  {
719  if(_dir)
720  {
721  _dir->update();
722  }
723  if(_scanDir)
724  {
725  _scanDir->update();
726  }
727  }
728  std::string imageFilePath;
729  std::string scanFilePath;
730  if(_startAt < 0)
731  {
732  if(_dir)
733  {
734  const std::list<std::string> & fileNames = _dir->getFileNames();
735  if(fileNames.size())
736  {
737  if(_lastFileName.empty() || uStrNumCmp(_lastFileName,*fileNames.rbegin()) < 0)
738  {
739  _lastFileName = *fileNames.rbegin();
740  imageFilePath = _path + _lastFileName;
741  }
742  }
743  }
744  if(_scanDir)
745  {
746  const std::list<std::string> & scanFileNames = _scanDir->getFileNames();
747  if(scanFileNames.size())
748  {
749  if(_lastScanFileName.empty() || uStrNumCmp(_lastScanFileName,*scanFileNames.rbegin()) < 0)
750  {
751  _lastScanFileName = *scanFileNames.rbegin();
752  scanFilePath = _scanPath + _lastScanFileName;
753  }
754  }
755  }
756 
757  if(_stamps.size())
758  {
759  stamp = _stamps.front();
760  _stamps.pop_front();
761  if(_stamps.size())
762  {
763  _captureDelay = _stamps.front() - stamp;
764  }
765  }
766  if(odometry_.size())
767  {
768  odometryPose = odometry_.front();
769  odometry_.pop_front();
770  if(covariances_.size())
771  {
772  covariance = covariances_.front();
773  covariances_.pop_front();
774  }
775  }
776  if(groundTruth_.size())
777  {
778  groundTruthPose = groundTruth_.front();
779  groundTruth_.pop_front();
780  }
781  if(_models.size() && !model.isValidForProjection())
782  {
783  model = _models.front();
784  _models.pop_front();
785  }
786  }
787  else
788  {
789  std::string imageFileName = _dir?_dir->getNextFileName():"";
790  std::string scanFileName = _scanDir?_scanDir->getNextFileName():"";
791  if((_dir && !imageFileName.empty()) || (!_dir && !scanFileName.empty()))
792  {
793  imageFilePath = _path + imageFileName;
794  scanFilePath = _scanPath + scanFileName;
795  if(_stamps.size())
796  {
797  stamp = _stamps.front();
798  _stamps.pop_front();
799  if(_stamps.size())
800  {
801  _captureDelay = _stamps.front() - stamp;
802  }
803  }
804  if(odometry_.size())
805  {
806  odometryPose = odometry_.front();
807  odometry_.pop_front();
808  if(covariances_.size())
809  {
810  covariance = covariances_.front();
811  covariances_.pop_front();
812  }
813  }
814  if(groundTruth_.size())
815  {
816  groundTruthPose = groundTruth_.front();
817  groundTruth_.pop_front();
818  }
819  if(_models.size() && !model.isValidForProjection())
820  {
821  model = _models.front();
822  _models.pop_front();
823  }
824 
825  while(_count++ < _startAt)
826  {
827  imageFileName = _dir?_dir->getNextFileName():"";
828  scanFileName = _scanDir?_scanDir->getNextFileName():"";
829 
830  if((_dir && imageFileName.empty()) || (!_dir && scanFileName.empty()))
831  {
832  break;
833  }
834 
835  imageFilePath = _path + imageFileName;
836  scanFilePath = _scanPath + scanFileName;
837  if(_stamps.size())
838  {
839  stamp = _stamps.front();
840  _stamps.pop_front();
841  if(_stamps.size())
842  {
843  _captureDelay = _stamps.front() - stamp;
844  }
845  }
846  if(odometry_.size())
847  {
848  odometryPose = odometry_.front();
849  odometry_.pop_front();
850  if(covariances_.size())
851  {
852  covariance = covariances_.front();
853  covariances_.pop_front();
854  }
855  }
856  if(groundTruth_.size())
857  {
858  groundTruthPose = groundTruth_.front();
859  groundTruth_.pop_front();
860  }
861  if(_models.size() && !model.isValidForProjection())
862  {
863  model = _models.front();
864  _models.pop_front();
865  }
866  }
867  }
868  }
869 
870  if(_maxFrames <=0 || ++_framesPublished <= _maxFrames)
871  {
872 
873  if(!imageFilePath.empty())
874  {
875  ULOGGER_DEBUG("Loading image : %s", imageFilePath.c_str());
876 
877 #if CV_MAJOR_VERSION >2 || (CV_MAJOR_VERSION >=2 && CV_MINOR_VERSION >=4)
878  img = cv::imread(imageFilePath.c_str(), cv::IMREAD_UNCHANGED);
879 #else
880  img = cv::imread(imageFilePath.c_str(), -1);
881 #endif
882  UDEBUG("width=%d, height=%d, channels=%d, elementSize=%d, total=%d",
883  img.cols, img.rows, img.channels(), img.elemSize(), img.total());
884 
885  if(_isDepth)
886  {
887  if(img.type() != CV_16UC1 && img.type() != CV_32FC1)
888  {
889  UERROR("Depth is on and the loaded image has not a format supported (file = \"%s\", type=%d). "
890  "Formats supported are 16 bits 1 channel (mm) and 32 bits 1 channel (m).",
891  imageFilePath.c_str(), img.type());
892  img = cv::Mat();
893  }
894 
895  if(_depthScaleFactor > 1.0f)
896  {
897  img /= _depthScaleFactor;
898  }
899  }
900  else
901  {
902 #if CV_MAJOR_VERSION < 3
903  // FIXME : it seems that some png are incorrectly loaded with opencv c++ interface, where c interface works...
904  if(img.depth() != CV_8U)
905  {
906  // The depth should be 8U
907  UWARN("Cannot read the image correctly, falling back to old OpenCV C interface...");
908  IplImage * i = cvLoadImage(imageFilePath.c_str());
909  img = cv::Mat(i, true);
910  cvReleaseImage(&i);
911  }
912 #endif
913  if(img.channels()>3)
914  {
915  UWARN("Conversion from 4 channels to 3 channels (file=%s)", imageFilePath.c_str());
916  cv::Mat out;
917  cv::cvtColor(img, out, CV_BGRA2BGR);
918  img = out;
919  }
920  else if(!img.empty() && _bayerMode >= 0 && _bayerMode <=3)
921  {
922  cv::Mat debayeredImg;
923  try
924  {
925  cv::cvtColor(img, debayeredImg, CV_BayerBG2BGR + _bayerMode);
926  img = debayeredImg;
927  }
928  catch(const cv::Exception & e)
929  {
930  UWARN("Error debayering images: \"%s\". Please set bayer mode to -1 if images are not bayered!", e.what());
931  }
932  }
933  }
934 
935  if(!img.empty() && model.isValidForRectification() && _rectifyImages)
936  {
937  img = model.rectifyImage(img);
938  }
939  }
940 
941  if(!scanFilePath.empty())
942  {
943  // load without filtering
944  scan = util3d::loadScan(scanFilePath);
945  scan = LaserScan(scan.data(), _scanMaxPts, 0.0f, scan.format(), _scanLocalTransform);
946  UDEBUG("Loaded scan=%d points", (int)scan.size());
947  if(_depthFromScan && !img.empty())
948  {
949  UDEBUG("Computing depth from scan...");
950  if(!model.isValidForProjection())
951  {
952  UWARN("Depth from laser scan: Camera model should be valid.");
953  }
954  else if(_isDepth)
955  {
956  UWARN("Depth from laser scan: Loading already a depth image.");
957  }
958  else
959  {
960  pcl::PointCloud<pcl::PointXYZ>::Ptr cloud = util3d::laserScanToPointCloud(scan, scan.localTransform());
961  depthFromScan = util3d::projectCloudToCamera(img.size(), model.K(), cloud, model.localTransform());
962  if(_depthFromScanFillHoles!=0)
963  {
964  util3d::fillProjectedCloudHoles(depthFromScan, _depthFromScanFillHoles>0, _depthFromScanFillHolesFromBorder);
965  }
966  }
967  }
968  }
969  }
970  }
971  else
972  {
973  UWARN("Directory is not set, camera must be initialized.");
974  }
975 
976  if(model.imageHeight() == 0 || model.imageWidth() == 0)
977  {
978  model.setImageSize(img.size());
979  }
980 
981  SensorData data;
982  if(!img.empty() || !scan.empty())
983  {
984  data = SensorData(scan, _isDepth?cv::Mat():img, _isDepth?img:depthFromScan, model, this->getNextSeqID(), stamp);
985  data.setGroundTruth(groundTruthPose);
986  }
987 
988  if(info && !odometryPose.isNull())
989  {
990  info->odomPose = odometryPose;
991  info->odomCovariance = covariance.empty()?cv::Mat::eye(6,6,CV_64FC1):covariance; // Note that with TORO and g2o file formats, we could get the covariance
992  }
993 
994  return data;
995 }
996 
997 } // namespace rtabmap
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rtabmap
Author(s): Mathieu Labbe
autogenerated on Mon Apr 28 2025 02:45:51