pyvision

1 # PyVision License 2 # 3 # Copyright (c) 2006-2011 David S. Bolme 4 # All rights reserved. 5 # 6 # Redistribution and use in source and binary forms, with or without 7 # modification, are permitted provided that the following conditions 8 # are met: 9 # 10 # 1. Redistributions of source code must retain the above copyright 11 # notice, this list of conditions and the following disclaimer. 12 # 13 # 2. Redistributions in binary form must reproduce the above copyright 14 # notice, this list of conditions and the following disclaimer in the 15 # documentation and/or other materials provided with the distribution. 16 # 17 # 3. Neither name of copyright holders nor the names of its contributors 18 # may be used to endorse or promote products derived from this software 19 # without specific prior written permission. 20 # 21 # 22 # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 23 # ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 24 # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR 25 # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR 26 # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 27 # EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 28 # PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 29 # PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 30 # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 31 # NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 32 # SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 33 34 ''' 35 The top level of this package contains some basic types used throughout 36 PyVision. Subpackages some of the more advanced functionality of the 37 PyVision library. These include: 38 39 * Image Processing 40 * Detection 41 * Machine Learning 42 * Optimization/Search 43 * Face Recognition 44 * Analysis 45 46 Typically, all these types are used in a program. A good convention is to 47 import the pyvision library as "pv" and then prefix all function names with "pv." 48 This will avoid possible namespace conflicts. For example:: 49 50 import pyvision as pv 51 im = pv.Image(filename) 52 im.annotateLabel(pv.Point(10,10),"Hello, World!") 53 im.show() 54 ''' 55 56 ''' 57 ----------------------------------------------------------------------------- 58 ALGORITHM DIRECTORY 59 Algorithm Name Problem Module 60 ----------------------------------------------------------------------------- 61 Support Vector Mach. classify/regression pyvision.vector.SVM 62 PCA 63 64 Cascade Classifier face/object detect pyvision.face.CascadeClassifier 65 PCA (Face) face recognition pyvision.face.PCA 66 67 Genetic Algorithm optimization pyvision.optimize.GeneticAlgorithm 68 ''' 69 70 import unittest 71 import sys 72 import cPickle as pkl 73 74 __version__ = "0.9.0 $Rev: 446 $" 75 __info__ = "$Id: __init__.py 446 2012-10-25 03:24:15Z bolme $" 76 __license__= ''' 77 PyVision License 78 79 Copyright (c) 2006-2010 David S. Bolme 80 All rights reserved. 81 82 Redistribution and use in source and binary forms, with or without 83 modification, are permitted provided that the following conditions 84 are met: 85 86 1. Redistributions of source code must retain the above copyright 87 notice, this list of conditions and the following disclaimer. 88 89 2. Redistributions in binary form must reproduce the above copyright 90 notice, this list of conditions and the following disclaimer in the 91 documentation and/or other materials provided with the distribution. 92 93 3. Neither name of copyright holders nor the names of its contributors 94 may be used to endorse or promote products derived from this software 95 without specific prior written permission. 96 97 98 THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS 99 ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT 100 LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR 101 A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR 102 CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, 103 EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, 104 PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR 105 PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF 106 LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING 107 NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS 108 SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. 109 110 Warning: Some parts of PyVision may link to libraries using more 111 restrictive licenses and some algorithms in PyVision by be covered 112 under patents. In these cases PyVision should display a warning 113 for commercial use. If you believe this a warning should be added 114 for any algorithm or interface please contact me at 115 bolme@cs.colostate.edu 116 ''' 117 118 __all__ = ['analysis','edge','face','optimize','other','point','types','vector'] 119 120 WARN_COMMERCIAL_USE = True 121

122 -def disableCommercialUseWarnings():

123 ''' 124 Most of PyVision is released under the BSD license and 125 can therefore be used free of charge in commercial 126 projects. In some limited cases PyVision uses algorithms 127 that are covered by patents or source code released under 128 copy left open source licenses such as GPL which may make 129 software produced using those components unsuitable for 130 commercial distribution. 131 132 When a PyVision module contains or links to non-commercial 133 code a warning message will be printed to stdout. If you 134 would like to disable these warning simply call this function 135 before importing the offending module. The users PyVision are 136 responsible for determining if their use of those components 137 respects all applicable licenses and patents. 138 139 If you believe this a warning should be added for any algorithm 140 or interface please contact me at bolme@cs.colostate.edu 141 ''' 142 global WARN_COMMERCIAL_USE 143 WARN_COMMERCIAL_USE = False

144 145 #Import basic pyvision types 146 147 #================================== Imports ===================================== 148 149 150 from pyvision.types.img import Image,OpenCVToNumpy,NumpyToOpenCV 151 152 from pyvision.types.Video import Video, Webcam, VideoFromImages, VideoFromFileList, VideoFromImageStack, FFMPEGVideo, VideoFromDirectory 153 154 from pyvision.types.Point import Point,readPointsFile 155 156 from pyvision.types.Rect import Rect,BoundingRect,CenteredRect 157 158 from pyvision.types.Affine import AffineNormalizePoints, AffineTranslate, AffineScale, AffineNonUniformScale, AffineRotate, AffineFromRect, AffineFromTile, AffineFromPoints, AffineFromPointsLS, AffineFromPointsRANSAC, AffineFromPointsLMeDs, AffinePerturb, AffineTransform 159 160 from pyvision.types.Perspective import PerspectiveTransform, PerspectiveFromPoints 161 162 from pyvision.analysis.ImageLog import ImageLog 163 164 from pyvision.analysis.Montage import ImageMontage, VideoMontage 165 166 try: 167 from pyvision.analysis.plot import Plot 168 except: 169 print "Warning: could not load plotting library." 170 171 from pyvision.analysis.Table import Table 172 173 from pyvision.analysis.Timer import Timer 174 175 from pyvision.analysis.roc import ROC,ROC_LOG_SAMPLED,ROC_MATCH_SAMPLED 176 177 from pyvision.types.ImageBuffer import ImageBuffer 178 179 from pyvision.surveillance.BackgroundSubtraction import AbstractBGModel, FrameDifferencer, MedianFilter, ApproximateMedianFilter, MotionCompensatedFrameDifferencer, BG_SUBTRACT_FD, BG_SUBTRACT_MCFD, BG_SUBTRACT_MF, BG_SUBTRACT_AMF 180 181 from pyvision.surveillance.MotionDetector import MotionDetector,BOUNDING_RECTS,STANDARDIZED_RECTS 182 183 from pyvision.surveillance.optical_flow import OpticalFlow 184 185 from pyvision.other.normalize import clipRange, meanStd, meanUnit, unit, selfQuotientImage, lowPassFilter, highPassFilter, bandPassFilter, gaussianFilter 186 187 from pyvision.other.distance import boolToUbyte, ubyteToBool, hamming, hamming_table 188 189 from pyvision.ml.knn import RobustPNorm,PNorm,correlation,chisquared,KNearestNeighbors,FLANNTree,FLANN_IMPORTED 190 191 try: 192 from pyvision.util.fast_util import LocalMaximumDetector 193 except: 194 print "Warning: could not import fast_util." 195 196 from pyvision.util.windows import cosineWindow, hammingWindow, hannWindow 197 198 from pyvision.analysis.stats import pbinom, qbinom, cibinom, mcnemar_test, SummaryStats, cor, cov, cov2cor 199 200 from pyvision.point.GaborJets import GaborFilters, GaborImage, GaborJet, FilterBank, GaborWavelet 201 202 from pyvision.other.color import Histogram, hsBackProjectHist, rgbBackProjectHist, RGBHist, HSHist, HIST_HS, HIST_RGB 203 204 from pyvision.ml.pca import prcomp, pca 205 206 from pyvision.ml.lda import lda 207 208 from pyvision.ml.regression import LogisticRegression 209 210 from pyvision.other.surf import surf 211 212 from pyvision.other.texture import lbp,LBP_CLASSIC,LBP_RAD1,LBP_RAD2,LBP_RAD3,LBP_RAD4,LBP_RAD8 213 214 from pyvision.analysis.bee import parseSigSet,saveSigset,computeMaskMatrix,BEE_CODE_MAP,BEE_DONTCARE,BEE_MATCH,BEE_NONMATCH,BEEDistanceMatrix 215 216 try: 217 from pyvision.data import AIRPLANE,BABOON,FRUITS,LENA,LOGO,TAZ_IMAGE,TAZ_VIDEO,FONT_ARIAL,BUGS_VIDEO,CAR_VIDEO, IRIS_DATA, IRIS_LABELS 218 except: 219 print "Warning: could not import data." 220 from pyvision.surveillance.VideoStreamProcessor import * 221 222 from analysis.progress_bar import ProgressBar 223 224 from analysis.gui_tools import capturePointsFromMouse 225 226 from pyvision.face import REDUCED_LEYE, REDUCED_REYE, REDUCED_SIZE 227 228 from pyvision.types.kinect import Kinect 229 230 from pyvision.surveillance.kalman import KalmanFilter 231 232 from pyvision.ml.opencv_ml import svc_linear, svc_rbf, svr_linear, svr_rbf, random_forest, boost, gbtrees 233 234 from pyvision.beta.vtm import VideoTaskManager, VideoTask, _VideoDataItem 235 236 from pyvision.analysis.html_report import HtmlReport 237 # Import the beta components 238 import beta 239 240 IMAGE_EXTENSIONS = ['.JPG','.JPEG','.GIF','.TIF','.TIFF','.PNG','.BMP','.PGM','.PPM',] 241 VIDEO_EXTENSIONS = ['.MOV','.M4V','.FLV','.AVI','.MPEG','.MJPEG','.MP4','.MPG','.WMV',] 242 243 #================================== Misc Functions ===================================== 244 245

246 -def searchNames(text,item):

247 '''Search dir(object) for patterns matching text''' 248 for name in dir(item): 249 if text.upper() in name.upper(): 250 print name

251

252 -def getTypeName(item):

253 ''' 254 Return a short name describing the type. 255 ''' 256 try: 257 if isinstance(item,list): 258 type_list = set([getTypeName(each) for each in item]) 259 type_name = 'list:%d('%len(item) 260 for each in type_list: 261 type_name += each+"," 262 type_name = type_name[:-1] 263 type_name += ")" 264 elif isinstance(item,tuple): 265 type_list = set([getTypeName(each) for each in item]) 266 type_name = 'tuple:%d('%len(item) 267 for each in type_list: 268 type_name += each+"," 269 type_name = type_name[:-1] 270 type_name += ")" 271 elif isinstance(item,dict): 272 type_list = set([getTypeName(each) for key,each in item.iteritems()]) 273 type_name = 'dict:%d('%len(item) 274 for each in type_list: 275 type_name += each+"," 276 type_name = type_name[:-1] 277 type_name += ")" 278 elif isinstance(item,str): 279 type_name = 'str' 280 elif isinstance(item,int): 281 type_name = 'int' 282 elif isinstance(item,float): 283 type_name = 'float' 284 elif 'instance' in repr(type(item)): 285 type_name = 'instance' 286 else: 287 type_name = str(type(item)) 288 if type_name.startswith('<class'): 289 type_name = type_name[8:-2] 290 type_name = type_name.split('.')[-1] 291 if type_name.startswith('<type'): 292 type_name = type_name[7:-2] 293 type_name = type_name.split('.')[-1] 294 295 if type_name == 'ndarray': 296 type_name += ":%s:%s"%(item.shape,item.dtype) 297 type_name = "".join(type_name.split()) 298 except: 299 type_name = 'unknown' 300 301 return type_name

302 303

304 -def inspectObject(item,name='<top>',max_depth=5,verbose=False,print_depth=0,info=None):

305 ''' 306 Produce a pv.Table describing this object and its members. 307 ''' 308 if max_depth < 0: 309 return 310 311 if not verbose and name[:2] == '__': 312 return 313 if 'function' in str(type(item)): 314 return 315 if 'method' in str(type(item)): 316 return 317 318 if info == None: 319 info = pv.Table() 320 info.setColumnFormat('name','%s') 321 print dir(info) 322 i = info.nRows() 323 324 info[i,'name'] = (' '*print_depth) + name 325 try: 326 327 # Add info about the type 328 type_name = getTypeName(item) 329 info[i,'type'] = type_name 330 331 value = " ".join(repr(item).split()) 332 if len(value) > 30: 333 value = value[:27]+'...' 334 info[i,'value'] = value 335 336 try: 337 item_size = len(pkl.dumps(item, protocol=2)) 338 except: 339 item_size = 'error' 340 341 info[i,'pickle size'] = item_size 342 343 if type_name in ['int','float','str']: 344 return info 345 if type_name.startswith('ndarray'): 346 return info 347 348 for each in dir(item): 349 inspectObject(getattr(item,each),name=each,max_depth=max_depth-1,verbose=verbose,print_depth=print_depth+1,info=info) 350 351 352 if isinstance(item,list) or isinstance(item,tuple): 353 processed_types = set() 354 for each in item: 355 if type(each) in processed_types: 356 continue 357 processed_types.add(type(each)) 358 inspectObject(each,name='<sample item>',max_depth=max_depth-1,verbose=verbose,print_depth=print_depth+1,info=info) 359 360 if isinstance(item,dict): 361 processed_types = set() 362 for key,each in item.iteritems(): 363 if type(each) in processed_types: 364 continue 365 processed_types.add(type(each)) 366 inspectObject(each,name='<sample item>',max_depth=max_depth-1,verbose=verbose,print_depth=print_depth+1,info=info) 367 except: 368 info[i,'error'] = "Could not process this object." 369 return info

370

371 -def isImage(filename):

372 ''' 373 Determines if the filename corresponds to a known image extension. 374 ''' 375 for ext in IMAGE_EXTENSIONS: 376 if filename.upper().endswith(ext): 377 return True 378 return False

379

380 -def isVideo(filename):

381 ''' 382 Determines if the filename corresponds to a known image extension. 383 ''' 384 for ext in VIDEO_EXTENSIONS: 385 if filename.upper().endswith(ext): 386 return True 387 return False

388 389

390 -def runningInNotebook():

391 ''' 392 @return: True if python interpreter is running in an iPython HTML Notebook. 393 (This may not work on all platforms.) 394 ''' 395 # Check that the type of ipython instance is consistent with the notebook. 396 try: 397 import IPython 398 gui = IPython.core.pylabtools.find_gui_and_backend() #@UndefinedVariable 399 if 'inline' not in gui: 400 #print 'missing inline' 401 return False 402 except: 403 #print "error importing" 404 return False 405 406 #print "success in notebook" 407 return True

408 409 410 411 # TODO: Features to be included in the initial release. 412 # analysis: 413 # FaceRec(FERET,BioID) 414 # FaceDetection(perdue,FERET,BioID) 415 # EyeFinding (FERET,BioID) 416 # AutoFace(FERET,BioID) 417 # Support: ImageLog, Stats, ROC, RegressionEval, ClassifierEval, HomographyEval 418 # edge: 419 # Algorithms: canny, sobel, prewitt, hough transform 420 # face: 421 # Algorithms: CascadeDetect, SVM Eye Localization, Normalization, PCA Recognition, LDA Recognition, SVM Recognition 422 # Cascade Training 423 # gui: 424 # PointSelector (eye_coords) 425 # CovariateTool 426 # other: 427 # ChangeDetection 428 # Normalization 429 # point: 430 # DetectorCorner 431 # DetectorDog 432 # PhaseCorrelation 433 # SVMPointLocator 434 # transform: 435 # Affine(least squares) 436 # Perspective(least squares/homography) 437 # AutoHomography 438 # types: 439 # Image, Point, Rect 440 # vector: 441 # PCA 442 # LDA 443 # SVM 444 # ID3 445 # LinearRegression 446 # 2DPoly 447 # VectorClassifier 448 449 450 # TODO: Features ideas for future releases 451 # OpenCV Webcam Support 452 # Animation Support 453 # Interactive 3D Visualization 454 # Live Demo Support 455 # EBGM 456 # Object Recognition 457 # Neural Networks 458 # Fundamental Matrix and 3D Reconstruction 459 # LBP - Texture analysis and face recognition. 460

461 -class _VersionTest(unittest.TestCase):

462 ''' Check the installed versions of the dependencies ''' 463

464 - def test_python_version(self):

465 major,minor,sub = sys.version.split(' ')[0].split('.')[:3] 466 rmajor,rminor,rsub = 2,3,0 # 2008/03/20 467 major,minor,sub = int(major),int(minor),int(sub) 468 print >> sys.stderr, "%d.%d.%d >= %d.%d.%d "%(major,minor,sub,rmajor,rminor,rsub), 469 sys.stderr.flush() 470 self.assert_(major > rmajor 471 or major == rmajor and minor >= rminor 472 or major == rmajor and minor == rminor and sub >= sub)

473

474 - def test_pil_version(self):

475 import PIL.Image 476 major,minor,sub = PIL.Image.VERSION.split('.')[:3] 477 rmajor,rminor,rsub = 1,1,5 # 2008/03/20 478 major,minor,sub = int(major),int(minor),int(sub) 479 print >> sys.stderr, "%d.%d.%d >= %d.%d.%d "%(major,minor,sub,rmajor,rminor,rsub), 480 sys.stderr.flush() 481 self.assert_(major > rmajor 482 or major == rmajor and minor >= rminor 483 or major == rmajor and minor == rminor and sub >= sub)

484

485 - def test_opencv_version(self):

486 import cv2 487 major,minor,sub = cv2.__version__.split('.')[:3] 488 rmajor,rminor,rsub = 2,4,2 # 2008/03/20 489 major,minor,sub = int(major),int(minor),int(sub) 490 print >> sys.stderr, "%d.%d.%d >= %d.%d.%d "%(major,minor,sub,rmajor,rminor,rsub), 491 sys.stderr.flush() 492 self.assert_(major > rmajor 493 or major == rmajor and minor >= rminor 494 or major == rmajor and minor == rminor and sub >= sub)

495

496 - def test_scipy__version(self):

497 import scipy 498 major,minor,sub = scipy.__version__.split('.')[:3] 499 rmajor,rminor,rsub = 0,7,0 # 2008/03/20 500 major,minor,sub = int(major),int(minor),int(sub) 501 print >> sys.stderr, "%d.%d.%d >= %d.%d.%d "%(major,minor,sub,rmajor,rminor,rsub), 502 sys.stderr.flush() 503 self.assert_(major > rmajor 504 or major == rmajor and minor >= rminor 505 or major == rmajor and minor == rminor and sub >= sub)

506

507 - def test_numpy__version(self):

508 import numpy 509 major,minor,sub = numpy.__version__.split('.')[:3] 510 rmajor,rminor,rsub = 1,0,4 # 2008/03/20 511 major,minor,sub = int(major),int(minor),int(sub) 512 print >> sys.stderr, "%d.%d.%d >= %d.%d.%d "%(major,minor,sub,rmajor,rminor,rsub), 513 sys.stderr.flush() 514 self.assert_(major > rmajor 515 or major == rmajor and minor >= rminor 516 or major == rmajor and minor == rminor and sub >= sub)

517

518 - def test_libsvm_version(self):

519 import svm 520 #major,minor,sub = svm.__version__.split('.')[:3] 521 rmajor,rminor,_ = 2,86,0 # 2008/03/20 522 #major,minor,sub = int(major),int(minor),int(sub) 523 #print "%d.%d.%d >= %d.%d.%d "%(major,minor,sub,rmajor,rminor,rsub), 524 print >> sys.stderr, "No way to get version numbers >= %d.%d "%(rmajor,rminor), 525 sys.stderr.flush() 526 #self.assert_(major > rmajor 527 # or major == rmajor and minor >= rminor 528 # or major == rmajor and minor == rminor and sub >= sub) 529 self.assert_(True)

530

531 -def test():

532 disableCommercialUseWarnings() 533 534 version_suite = unittest.TestLoader().loadTestsFromTestCase(_VersionTest) 535 536 from pyvision.types.Affine import _AffineTest 537 affine_suite = unittest.TestLoader().loadTestsFromTestCase(_AffineTest) 538 539 from pyvision.types.testsuite import _TestImage 540 image_suite = unittest.TestLoader().loadTestsFromTestCase(_TestImage) 541 542 from pyvision.vector.VectorClassifier import _TestVectorClassifier 543 vc_suite = unittest.TestLoader().loadTestsFromTestCase(_TestVectorClassifier) 544 545 #from pyvision.vector.SVM import _TestSVM 546 #svm_suite = unittest.TestLoader().loadTestsFromTestCase(_TestSVM) 547 548 from pyvision.vector.Polynomial import _PolyTest 549 poly_suite = unittest.TestLoader().loadTestsFromTestCase(_PolyTest) 550 551 from pyvision.point.DetectorCorner import _CornerTest 552 corner_suite = unittest.TestLoader().loadTestsFromTestCase(_CornerTest) 553 554 from pyvision.point.DetectorDOG import _DetectorDOGTestCase 555 dog_suite = unittest.TestLoader().loadTestsFromTestCase(_DetectorDOGTestCase) 556 557 from pyvision.point.DetectorHarris import _HarrisTest 558 harris_suite = unittest.TestLoader().loadTestsFromTestCase(_HarrisTest) 559 560 from pyvision.point.PhaseCorrelation import _TestPhaseCorrelation 561 pc_suite = unittest.TestLoader().loadTestsFromTestCase(_TestPhaseCorrelation) 562 563 from pyvision.optimize.testsuite import GeneticAlgorithmTest 564 ga_suite = unittest.TestLoader().loadTestsFromTestCase(GeneticAlgorithmTest) 565 566 from pyvision.face.CascadeDetector import _TestCascadeDetector 567 cd_suite = unittest.TestLoader().loadTestsFromTestCase(_TestCascadeDetector) 568 569 from pyvision.face.PCA import _TestFacePCA 570 fpca_suite = unittest.TestLoader().loadTestsFromTestCase(_TestFacePCA) 571 572 from pyvision.face.FilterEyeLocator import _TestFilterEyeLocator 573 asefed_suite = unittest.TestLoader().loadTestsFromTestCase(_TestFilterEyeLocator) 574 575 # Replaced by ASEF work 576 # from pyvision.face.SVMEyeDetector import _TestSVMEyeDetector 577 # svmed_suite = unittest.TestLoader().loadTestsFromTestCase(_TestSVMEyeDetector) 578 579 from pyvision.edge.canny import _TestCanny 580 canny_suite = unittest.TestLoader().loadTestsFromTestCase(_TestCanny) 581 582 from pyvision.analysis.stats import _TestStats 583 stats_suite = unittest.TestLoader().loadTestsFromTestCase(_TestStats) 584 585 from pyvision.analysis.Table import _TestTable 586 table_suite = unittest.TestLoader().loadTestsFromTestCase(_TestTable) 587 588 from pyvision.analysis.classifier.ConfusionMatrix import _TestConfusionMatrix 589 cm_suite = unittest.TestLoader().loadTestsFromTestCase(_TestConfusionMatrix) 590 591 from pyvision.other.testsuite import _TestDistance 592 dist_suite = unittest.TestLoader().loadTestsFromTestCase(_TestDistance) 593 594 from pyvision.other.testsuite import _TestNormalize 595 norm_suite = unittest.TestLoader().loadTestsFromTestCase(_TestNormalize) 596 597 from pyvision.other.testsuite import _TestSURF 598 surf_suite = unittest.TestLoader().loadTestsFromTestCase(_TestSURF) 599 600 601 test_suites = [ 602 version_suite, 603 affine_suite, 604 image_suite, 605 vc_suite, 606 #svm_suite, #TODO: uncomment 607 poly_suite, 608 corner_suite, 609 dog_suite, 610 harris_suite, 611 pc_suite, 612 ga_suite, 613 cd_suite, 614 fpca_suite, 615 asefed_suite, 616 #svmed_suite, 617 canny_suite, 618 stats_suite, 619 table_suite, 620 cm_suite, 621 dist_suite, 622 norm_suite, 623 surf_suite, 624 ] 625 626 pyvision_suite = unittest.TestSuite(test_suites) 627 628 unittest.TextTestRunner(verbosity=2).run(pyvision_suite)

629 630 631 if __name__ == '__main__': 632 test() 633

Source Code for Package pyvision