KaneAI - World’s First E2E Software Testing Agent.Book a Demo 
How to use bbox method in fMBT
Best Python code snippet using fMBT_python
BBoxTest.py
Source:BBoxTest.py 
1#!/usr/bin/env python234"""5Test code for the BBox Object67"""89import unittest1011from BBox import *1213class testCreator(unittest.TestCase):14 def testCreates(self):15 B = BBox(((0,0),(5,5)))16 self.failUnless(isinstance(B, BBox))1718 def testType(self):19 B = N.array(((0,0),(5,5)))20 self.failIf(isinstance(B, BBox))2122 def testDataType(self):23 B = BBox(((0,0),(5,5)))24 self.failUnless(B.dtype == N.float)2526 def testShape(self):27 B = BBox((0,0,5,5))28 self.failUnless(B.shape == (2,2))29 30 def testShape2(self):31 self.failUnlessRaises(ValueError, BBox, (0,0,5) )32 33 def testShape3(self):34 self.failUnlessRaises(ValueError, BBox, (0,0,5,6,7) )3536 def testArrayConstruction(self):37 A = N.array(((4,5),(10,12)), N.float_)38 B = BBox(A)39 self.failUnless(isinstance(B, BBox))40 41 def testMinMax(self):42 self.failUnlessRaises(ValueError, BBox, (0,0,-1,6) )4344 def testMinMax2(self):45 self.failUnlessRaises(ValueError, BBox, (0,0,1,-6) )4647 def testMinMax(self):48 # OK to have a zero-sized BB49 B = BBox(((0,0),(0,5)))50 self.failUnless(isinstance(B, BBox))5152 def testMinMax2(self):53 # OK to have a zero-sized BB54 B = BBox(((10.0,-34),(10.0,-34.0)))55 self.failUnless(isinstance(B, BBox))5657 def testMinMax3(self):58 # OK to have a tiny BB59 B = BBox(((0,0),(1e-20,5)))60 self.failUnless(isinstance(B, BBox))6162 def testMinMax4(self):63 # Should catch tiny difference64 self.failUnlessRaises(ValueError, BBox, ((0,0), (-1e-20,5)) )6566class testAsBBox(unittest.TestCase):6768 def testPassThrough(self):69 B = BBox(((0,0),(5,5)))70 C = asBBox(B)71 self.failUnless(B is C)7273 def testPassThrough2(self):74 B = (((0,0),(5,5)))75 C = asBBox(B)76 self.failIf(B is C)77 78 def testPassArray(self):79 # Different data type80 A = N.array( (((0,0),(5,5))) )81 C = asBBox(A)82 self.failIf(A is C)83 84 def testPassArray2(self):85 # same data type -- should be a view86 A = N.array( (((0,0),(5,5))), N.float_ )87 C = asBBox(A)88 A[0,0] = -1089 self.failUnless(C[0,0] == A[0,0])90 91class testIntersect(unittest.TestCase):9293 def testSame(self):94 B = BBox(((-23.5, 456),(56, 532.0)))95 C = BBox(((-23.5, 456),(56, 532.0)))96 self.failUnless(B.Overlaps(C) )97 98 def testUpperLeft(self):99 B = BBox( ( (5, 10),(15, 25) ) )100 C = BBox( ( (0, 12),(10, 32.0) ) )101 self.failUnless(B.Overlaps(C) )102 103 def testUpperRight(self):104 B = BBox( ( (5, 10),(15, 25) ) )105 C = BBox( ( (12, 12),(25, 32.0) ) )106 self.failUnless(B.Overlaps(C) )107 108 def testLowerRight(self):109 B = BBox( ( (5, 10),(15, 25) ) )110 C = BBox( ( (12, 5),(25, 15) ) )111 self.failUnless(B.Overlaps(C) )112 113 def testLowerLeft(self):114 B = BBox( ( (5, 10),(15, 25) ) )115 C = BBox( ( (-10, 5),(8.5, 15) ) )116 self.failUnless(B.Overlaps(C) )117 118 def testBelow(self):119 B = BBox( ( (5, 10),(15, 25) ) )120 C = BBox( ( (-10, 5),(8.5, 9.2) ) )121 self.failIf(B.Overlaps(C) )122 123 def testAbove(self):124 B = BBox( ( (5, 10),(15, 25) ) )125 C = BBox( ( (-10, 25.001),(8.5, 32) ) )126 self.failIf(B.Overlaps(C) )127 128 def testLeft(self):129 B = BBox( ( (5, 10),(15, 25) ) )130 C = BBox( ( (4, 8),(4.95, 32) ) )131 self.failIf(B.Overlaps(C) )132 133 def testRight(self):134 B = BBox( ( (5, 10),(15, 25) ) )135 C = BBox( ( (17.1, 8),(17.95, 32) ) )136 self.failIf(B.Overlaps(C) )137138 def testInside(self):139 B = BBox( ( (-15, -25),(-5, -10) ) )140 C = BBox( ( (-12, -22), (-6, -8) ) )141 self.failUnless(B.Overlaps(C) )142 143 def testOutside(self):144 B = BBox( ( (-15, -25),(-5, -10) ) )145 C = BBox( ( (-17, -26), (3, 0) ) )146 self.failUnless(B.Overlaps(C) )147 148 def testTouch(self):149 B = BBox( ( (5, 10),(15, 25) ) )150 C = BBox( ( (15, 8),(17.95, 32) ) )151 self.failUnless(B.Overlaps(C) )152 153 def testCorner(self):154 B = BBox( ( (5, 10),(15, 25) ) )155 C = BBox( ( (15, 25),(17.95, 32) ) )156 self.failUnless(B.Overlaps(C) )157 158 def testZeroSize(self):159 B = BBox( ( (5, 10),(15, 25) ) )160 C = BBox( ( (15, 25),(15, 25) ) )161 self.failUnless(B.Overlaps(C) )162 163 def testZeroSize2(self):164 B = BBox( ( (5, 10),(5, 10) ) )165 C = BBox( ( (15, 25),(15, 25) ) )166 self.failIf(B.Overlaps(C) )167 168 def testZeroSize3(self):169 B = BBox( ( (5, 10),(5, 10) ) )170 C = BBox( ( (0, 8),(10, 12) ) )171 self.failUnless(B.Overlaps(C) )172173 def testZeroSize4(self):174 B = BBox( ( (5, 1),(10, 25) ) )175 C = BBox( ( (8, 8),(8, 8) ) )176 self.failUnless(B.Overlaps(C) )177178179180class testEquality(unittest.TestCase):181 def testSame(self):182 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )183 C = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )184 self.failUnless(B == C)185 186 def testIdentical(self):187 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )188 self.failUnless(B == B)189 190 def testNotSame(self):191 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )192 C = BBox( ( (1.0, 2.0), (5.0, 10.1) ) )193 self.failIf(B == C)194 195 def testWithArray(self):196 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )197 C = N.array( ( (1.0, 2.0), (5.0, 10.0) ) )198 self.failUnless(B == C)199 200 def testWithArray2(self):201 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )202 C = N.array( ( (1.0, 2.0), (5.0, 10.0) ) )203 self.failUnless(C == B)204 205 def testWithArray2(self):206 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )207 C = N.array( ( (1.01, 2.0), (5.0, 10.0) ) )208 self.failIf(C == B)209 210class testInside(unittest.TestCase):211 def testSame(self):212 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )213 C = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )214 self.failUnless(B.Inside(C))215216 def testPoint(self):217 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )218 C = BBox( ( (3.0, 4.0), (3.0, 4.0) ) )219 self.failUnless(B.Inside(C))220221 def testPointOutside(self):222 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )223 C = BBox( ( (-3.0, 4.0), (0.10, 4.0) ) )224 self.failIf(B.Inside(C))225226 def testUpperLeft(self):227 B = BBox( ( (5, 10),(15, 25) ) )228 C = BBox( ( (0, 12),(10, 32.0) ) )229 self.failIf(B.Inside(C) )230 231 def testUpperRight(self):232 B = BBox( ( (5, 10),(15, 25) ) )233 C = BBox( ( (12, 12),(25, 32.0) ) )234 self.failIf(B.Inside(C) )235 236 def testLowerRight(self):237 B = BBox( ( (5, 10),(15, 25) ) )238 C = BBox( ( (12, 5),(25, 15) ) )239 self.failIf(B.Inside(C) )240 241 def testLowerLeft(self):242 B = BBox( ( (5, 10),(15, 25) ) )243 C = BBox( ( (-10, 5),(8.5, 15) ) )244 self.failIf(B.Inside(C) )245 246 def testBelow(self):247 B = BBox( ( (5, 10),(15, 25) ) )248 C = BBox( ( (-10, 5),(8.5, 9.2) ) )249 self.failIf(B.Inside(C) )250 251 def testAbove(self):252 B = BBox( ( (5, 10),(15, 25) ) )253 C = BBox( ( (-10, 25.001),(8.5, 32) ) )254 self.failIf(B.Inside(C) )255 256 def testLeft(self):257 B = BBox( ( (5, 10),(15, 25) ) )258 C = BBox( ( (4, 8),(4.95, 32) ) )259 self.failIf(B.Inside(C) )260 261 def testRight(self):262 B = BBox( ( (5, 10),(15, 25) ) )263 C = BBox( ( (17.1, 8),(17.95, 32) ) )264 self.failIf(B.Inside(C) )265266class testPointInside(unittest.TestCase):267 def testPointIn(self):268 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )269 P = (3.0, 4.0)270 self.failUnless(B.PointInside(P))271272 def testUpperLeft(self):273 B = BBox( ( (5, 10),(15, 25) ) )274 P = (4, 30)275 self.failIf(B.PointInside(P))276 277 def testUpperRight(self):278 B = BBox( ( (5, 10),(15, 25) ) )279 P = (16, 30)280 self.failIf(B.PointInside(P))281 282 def testLowerRight(self):283 B = BBox( ( (5, 10),(15, 25) ) )284 P = (16, 4)285 self.failIf(B.PointInside(P))286 287 def testLowerLeft(self):288 B = BBox( ( (5, 10),(15, 25) ) )289 P = (-10, 5)290 self.failIf(B.PointInside(P))291 292 def testBelow(self):293 B = BBox( ( (5, 10),(15, 25) ) )294 P = (10, 5)295 self.failIf(B.PointInside(P))296 297 def testAbove(self):298 B = BBox( ( (5, 10),(15, 25) ) )299 P = ( 10, 25.001)300 self.failIf(B.PointInside(P))301 302 def testLeft(self):303 B = BBox( ( (5, 10),(15, 25) ) )304 P = (4, 12)305 self.failIf(B.PointInside(P))306 307 def testRight(self):308 B = BBox( ( (5, 10),(15, 25) ) )309 P = (17.1, 12.3)310 self.failIf(B.PointInside(P))311312 def testPointOnTopLine(self):313 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )314 P = (3.0, 10.0)315 self.failUnless(B.PointInside(P))316317 def testPointLeftTopLine(self):318 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )319 P = (-3.0, 10.0)320 self.failIf(B.PointInside(P))321322 def testPointOnBottomLine(self):323 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )324 P = (3.0, 5.0)325 self.failUnless(B.PointInside(P))326327 def testPointOnLeft(self):328 B = BBox( ( (-10.0, -10.0), (-1.0, -1.0) ) )329 P = (-10, -5.0)330 self.failUnless(B.PointInside(P))331332 def testPointOnRight(self):333 B = BBox( ( (-10.0, -10.0), (-1.0, -1.0) ) )334 P = (-1, -5.0)335 self.failUnless(B.PointInside(P))336337 def testPointOnBottomRight(self):338 B = BBox( ( (-10.0, -10.0), (-1.0, -1.0) ) )339 P = (-1, -10.0)340 self.failUnless(B.PointInside(P))341342class testFromPoints(unittest.TestCase):343344 def testCreate(self):345 Pts = N.array( ((5,2),346 (3,4),347 (1,6),348 ), N.float_ )349 B = fromPoints(Pts)350 #B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )351 self.failUnless(B[0,0] == 1.0 and352 B[0,1] == 2.0 and353 B[1,0] == 5.0 and354 B[1,1] == 6.0355 )356 def testCreateInts(self):357 Pts = N.array( ((5,2),358 (3,4),359 (1,6),360 ) )361 B = fromPoints(Pts)362 self.failUnless(B[0,0] == 1.0 and363 B[0,1] == 2.0 and364 B[1,0] == 5.0 and365 B[1,1] == 6.0366 )367368 def testSinglePoint(self):369 Pts = N.array( (5,2), N.float_ )370 B = fromPoints(Pts)371 self.failUnless(B[0,0] == 5.0 and372 B[0,1] == 2.0 and373 B[1,0] == 5.0 and374 B[1,1] == 2.0375 )376377 def testListTuples(self):378 Pts = [ (3, 6.5),379 (13, 43.2),380 (-4.32, -4),381 (65, -23),382 (-0.0001, 23.432),383 ]384 B = fromPoints(Pts) 385 self.failUnless(B[0,0] == -4.32 and386 B[0,1] == -23.0 and387 B[1,0] == 65.0 and388 B[1,1] == 43.2389 )390class testMerge(unittest.TestCase):391 A = BBox( ((-23.5, 456), (56, 532.0)) )392 B = BBox( ((-20.3, 460), (54, 465 )) )# B should be completely inside A393 C = BBox( ((-23.5, 456), (58, 540.0)) )# up and to the right or A394 D = BBox( ((-26.5, 12), (56, 532.0)) )395396 def testInside(self):397 C = self.A.copy()398 C.Merge(self.B)399 self.failUnless(C == self.A)400401 def testFullOutside(self):402 C = self.B.copy()403 C.Merge(self.A)404 self.failUnless(C == self.A)405406 def testUpRight(self):407 A = self.A.copy()408 A.Merge(self.C)409 self.failUnless(A[0] == self.A[0] and A[1] == self.C[1])410411 def testDownLeft(self):412 A = self.A.copy()413 A.Merge(self.D)414 self.failUnless(A[0] == self.D[0] and A[1] == self.A[1])415416class testWidthHeight(unittest.TestCase):417 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )418 def testWidth(self):419 self.failUnless(self.B.Width == 4.0)420421 def testWidth(self):422 self.failUnless(self.B.Height == 8.0)423424 def attemptSetWidth(self):425 self.B.Width = 6426427 def attemptSetHeight(self):428 self.B.Height = 6429430 def testSetW(self):431 self.failUnlessRaises(AttributeError, self.attemptSetWidth)432 433 def testSetH(self):434 self.failUnlessRaises(AttributeError, self.attemptSetHeight)435 436class testCenter(unittest.TestCase):437 B = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )438 def testCenter(self):439 self.failUnless( (self.B.Center == (3.0, 6.0)).all() )440441 def attemptSetCenter(self):442 self.B.Center = (6, 5)443444 def testSetCenter(self):445 self.failUnlessRaises(AttributeError, self.attemptSetCenter)446 447448class testBBarray(unittest.TestCase):449 BBarray = N.array( ( ((-23.5, 456), (56, 532.0)),450 ((-20.3, 460), (54, 465 )),451 ((-23.5, 456), (58, 540.0)),452 ((-26.5, 12), (56, 532.0)),453 ),454 dtype=N.float)455 BB = asBBox( ((-26.5, 12.), ( 58. , 540.)) )456457 def testJoin(self):458 BB = fromBBArray(self.BBarray)459 self.failUnless(BB == self.BB, "Wrong BB was created. It was:\n%s \nit should have been:\n%s"%(BB, self.BB))460461class testNullBBox(unittest.TestCase):462 B1 = NullBBox()463 B2 = NullBBox()464 B3 = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )465466 def testValues(self):467 self.failUnless( N.alltrue(N.isnan(self.B1)) )468 469 def testIsNull(self):470 self.failUnless( self.B1.IsNull )471472 def testEquals(self):473 self.failUnless( (self.B1 == self.B2) == True )474 475 def testNotEquals(self):476 self.failUnless ( (self.B1 == self.B3) == False,477 "NotEquals failed for\n%s,\n %s:%s"%(self.B1, self.B3, (self.B1 == self.B3)) ) 478479 def testNotEquals2(self):480 self.failUnless ( (self.B3 == self.B1) == False,481 "NotEquals failed for\n%s,\n %s:%s"%(self.B3, self.B1, (self.B3 == self.B1)) ) 482 483 def testMerge(self):484 C = self.B1.copy()485 C.Merge(self.B3)486 self.failUnless( C == self.B3,487 "merge failed, got: %s"%C )488 489 def testOverlaps(self):490 self.failUnless( self.B1.Overlaps(self.B3) == False)491492 def testOverlaps2(self):493 self.failUnless( self.B3.Overlaps(self.B1) == False)494495496class testInfBBox(unittest.TestCase):497 B1 = InfBBox()498 B2 = InfBBox()499 B3 = BBox( ( (1.0, 2.0), (5.0, 10.0) ) )500 NB = NullBBox()501502 def testValues(self):503 self.failUnless( N.alltrue(N.isinf(self.B1)) )504 505# def testIsNull(self):506# self.failUnless( self.B1.IsNull )507508 def testEquals(self):509 self.failUnless( (self.B1 == self.B2) == True )510 511 def testNotEquals(self):512 print (self.B1 == self.B3) == False513 self.failUnless ( (self.B1 == self.B3) == False,514 "NotEquals failed for\n%s,\n %s:%s"%(self.B1, self.B3, (self.B1 == self.B3)) ) 515516 def testNotEquals2(self):517 self.failUnless ( (self.B3 == self.B1) == False,518 "NotEquals failed for\n%s,\n %s:%s"%(self.B3, self.B1, (self.B3 == self.B1)) ) 519 520 def testMerge(self):521 C = self.B1.copy()522 C.Merge(self.B3)523 self.failUnless( C == self.B2,524 "merge failed, got: %s"%C )525526 def testMerge2(self):527 C = self.B3.copy()528 C.Merge(self.B1)529 self.failUnless( C == self.B1,530 "merge failed, got: %s"%C )531532 def testOverlaps(self):533 self.failUnless( self.B1.Overlaps(self.B2) == True)534535 def testOverlaps2(self):536 self.failUnless( self.B3.Overlaps(self.B1) == True)537 538 def testOverlaps3(self):539 self.failUnless( self.B1.Overlaps(self.B3) == True)540541 def testOverlaps4(self):542 self.failUnless( self.B1.Overlaps(self.NB) == True)543544 def testOverlaps5(self):545 self.failUnless( self.NB.Overlaps(self.B1) == True)546 547 548549if __name__ == "__main__":
...
object_detection_helper.py
Source:object_detection_helper.py
...54 for i, bbox in enumerate(boxes):55 bb = bbox.numpy()56 rect = [bb[1]-bb[3]/2, bb[0]-bb[2]/2, bb[3], bb[2]]57 draw_rect(ax, rect)58def activ_to_bbox(acts, anchors, flatten=True):59 "Extrapolate bounding boxes on anchors from the model activations."60 if flatten:61 acts.mul_(acts.new_tensor([[0.1, 0.1, 0.2, 0.2]]))62 centers = anchors[...,2:] * acts[...,:2] + anchors[...,:2]63 sizes = anchors[...,2:] * torch.exp(acts[...,:2])64 return torch.cat([centers, sizes], -1)65 else: return [activ_to_bbox(act,anc) for act,anc in zip(acts, anchors)]66 return res67def cthw2tlbr(boxes):68 "Convert center/size format `boxes` to top/left bottom/right corners."69 top_left = boxes[:,:2] - boxes[:,2:]/270 bot_right = boxes[:,:2] + boxes[:,2:]/271 return torch.cat([top_left, bot_right], 1)72def intersection(anchors, targets):73 "Compute the sizes of the intersections of `anchors` by `targets`."74 ancs, tgts = cthw2tlbr(anchors), cthw2tlbr(targets)75 a, t = ancs.size(0), tgts.size(0)76 ancs, tgts = ancs.unsqueeze(1).expand(a,t,4), tgts.unsqueeze(0).expand(a,t,4)77 top_left_i = torch.max(ancs[...,:2], tgts[...,:2])78 bot_right_i = torch.min(ancs[...,2:], tgts[...,2:])79 sizes = torch.clamp(bot_right_i - top_left_i, min=0)80 return sizes[...,0] * sizes[...,1]81def IoU_values(anchors, targets):82 "Compute the IoU values of `anchors` by `targets`."83 inter = intersection(anchors, targets)84 anc_sz, tgt_sz = anchors[:,2] * anchors[:,3], targets[:,2] * targets[:,3]85 union = anc_sz.unsqueeze(1) + tgt_sz.unsqueeze(0) - inter86 return inter/(union+1e-8)87def match_anchors(anchors, targets, match_thr=0.5, bkg_thr=0.4):88 "Match `anchors` to targets. -1 is match to background, -2 is ignore."89 ious = IoU_values(anchors, targets)90 matches = anchors.new(anchors.size(0)).zero_().long() - 291 if ious.shape[1] > 0:92 vals,idxs = torch.max(ious,1)93 matches[vals < bkg_thr] = -194 matches[vals > match_thr] = idxs[vals > match_thr]95 #Overwrite matches with each target getting the anchor that has the max IoU.96 #vals,idxs = torch.max(ious,0)97 #If idxs contains repetition, this doesn't bug and only the last is considered.98 #matches[idxs] = targets.new_tensor(list(range(targets.size(0)))).long()99 return matches100def bbox_to_activ(bboxes, anchors, flatten=True):101 "Return the target of the model on `anchors` for the `bboxes`."102 if flatten:103 t_centers = (bboxes[...,:2] - anchors[...,:2]) / anchors[...,2:]104 t_sizes = torch.log(bboxes[...,2:] / anchors[...,2:] + 1e-8)105 return torch.cat([t_centers, t_sizes], -1).div_(bboxes.new_tensor([[0.1, 0.1, 0.2, 0.2]]))106 else: return [activ_to_bbox(act,anc) for act,anc in zip(acts, anchors)]107 return res108def _draw_outline(o:Patch, lw:int):109 "Outline bounding box onto image `Patch`."110 o.set_path_effects([patheffects.Stroke(111 linewidth=lw, foreground='black'), patheffects.Normal()])112def draw_rect(ax:plt.Axes, b:Collection[int], color:str='white', text=None, text_size=14):113 "Draw bounding box on `ax`."114 patch = ax.add_patch(patches.Rectangle(b[:2], *b[-2:], fill=False, edgecolor=color, lw=2))115 _draw_outline(patch, 4)116 if text is not None:117 patch = ax.text(*b[:2], text, verticalalignment='top', color=color, fontsize=text_size, weight='bold')118 _draw_outline(patch,1)119def nms(boxes, scores, thresh=0.5):120 idx_sort = scores.argsort(descending=True)121 boxes, scores = boxes[idx_sort], scores[idx_sort]122 to_keep, indexes = [], torch.LongTensor(range_of(scores))123 while len(scores) > 0:124 #pdb.set_trace()125 to_keep.append(idx_sort[indexes[0]])126 iou_vals = IoU_values(boxes, boxes[:1]).squeeze()127 mask_keep = iou_vals <= thresh128 if len(mask_keep.nonzero()) == 0: break129 idx_first = mask_keep.nonzero().min().item()130 boxes, scores, indexes = boxes[mask_keep], scores[mask_keep], indexes[mask_keep]131 return LongTensor(to_keep)132def show_preds(img, bbox_pred, preds, scores, classes, figsize=(5,5)):133 _, ax = plt.subplots(1, 1, figsize=figsize)134 for bbox, c, scr in zip(bbox_pred, preds, scores):135 img.show(ax=ax)136 txt = str(c.item()) if classes is None else classes[c.item()+1]137 draw_rect(ax, [bbox[1],bbox[0],bbox[3],bbox[2]], text=f'{txt} {scr:.2f}')138def show_results_side_by_side(learn: Learner, anchors, detect_thresh:float=0.2, nms_thresh: float=0.3, image_count: int=5):139 with torch.no_grad():140 img_batch, target_batch = learn.data.one_batch(DatasetType.Valid, False, False, False)141 prediction_batch = learn.model(img_batch[:image_count])142 class_pred_batch, bbox_pred_batch = prediction_batch[:2]143 bbox_gt_batch, class_gt_batch = target_batch[0][:image_count], target_batch[1][:image_count]144 for img, bbox_gt, class_gt, clas_pred, bbox_pred in list(145 zip(img_batch, bbox_gt_batch, class_gt_batch, class_pred_batch, bbox_pred_batch)):146 if hasattr(learn.data, 'stats'):147 img = Image(learn.data.denorm(img))148 else:149 img = Image(img)150 bbox_pred, scores, preds = process_output(clas_pred, bbox_pred, anchors, detect_thresh)151 if bbox_pred is not None:152 to_keep = nms(bbox_pred, scores, nms_thresh)153 bbox_pred, preds, scores = bbox_pred[to_keep].cpu(), preds[to_keep].cpu(), scores[to_keep].cpu()154 t_sz = torch.Tensor([*img.size])[None].cpu()155 bbox_gt = bbox_gt[np.nonzero(class_gt)].squeeze(dim=1).cpu()156 class_gt = class_gt[class_gt > 0] - 1157 # change gt from x,y,x2,y2 -> x,y,w,h158 bbox_gt[:, 2:] = bbox_gt[:, 2:] - bbox_gt[:, :2]159 bbox_gt = to_np(rescale_boxes(bbox_gt, t_sz))160 if bbox_pred is not None:161 bbox_pred = to_np(rescale_boxes(bbox_pred, t_sz))162 # change from center to top left163 bbox_pred[:, :2] = bbox_pred[:, :2] - bbox_pred[:, 2:] / 2164 show_results(img, bbox_pred, preds, scores, learn.data.train_ds.classes[1:] , bbox_gt, class_gt, (15, 15), titleA="GT", titleB="Prediction")165def show_results(img, bbox_pred, preds, scores, classes, bbox_gt, preds_gt, figsize=(5,5)166 , titleA: str="", titleB: str=""):167 _, ax = plt.subplots(nrows=1, ncols=2, figsize=figsize)168 ax[0].set_title(titleA)169 ax[1].set_title(titleB)170 # show prediction171 img.show(ax=ax[1])172 if bbox_pred is not None:173 for bbox, c, scr in zip(bbox_pred, preds, scores):174 txt = str(c.item()) if classes is None else classes[c.item()]175 draw_rect(ax[1], [bbox[1],bbox[0],bbox[3],bbox[2]], text=f'{txt} {scr:.2f}')176 # show gt177 img.show(ax=ax[0])178 for bbox, c in zip(bbox_gt, preds_gt):179 txt = str(c.item()) if classes is None else classes[c.item()]180 draw_rect(ax[0], [bbox[1],bbox[0],bbox[3],bbox[2]], text=f'{txt}')181def process_output(clas_pred, bbox_pred, anchors, detect_thresh=0.25):182 bbox_pred = activ_to_bbox(bbox_pred, anchors.to(clas_pred.device))183 clas_pred = torch.sigmoid(clas_pred)184 detect_mask = clas_pred.max(1)[0] > detect_thresh185 if np.array(detect_mask).max() == 0:186 return None, None, None187 bbox_pred, clas_pred = bbox_pred[detect_mask], clas_pred[detect_mask]188 bbox_pred = tlbr2cthw(torch.clamp(cthw2tlbr(bbox_pred), min=-1, max=1))189 scores, preds = clas_pred.max(1)190 return bbox_pred, scores, preds191def rescale_boxes(bboxes, t_sz: Tensor):192 bboxes[:, 2:] = bboxes[:, 2:] * t_sz / 2193 bboxes[:, :2] = (bboxes[:, :2] + 1) * t_sz / 2194 return bboxes195def show_anchors_on_images(data, anchors, figsize=(15,15)):196 all_boxes = []...
Automation Testing Tutorials
Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.
LambdaTest Learning Hubs:
- JUnit Tutorial
- TestNG Tutorial
- Webdriver Tutorial
- WebDriverIO Tutorial
- Protractor Tutorial
- Selenium 4 Tutorial
- Jenkins Tutorial
- NUnit Tutorial
- Jest Tutorial
- Playwright Tutorial
- Cypress Tutorial
- PyTest Tutorial
YouTube
You could also refer to video tutorials over LambdaTest YouTube channel to get step by step demonstration from industry experts.
Run fMBT automation tests on LambdaTest cloud grid
Perform automation testing on 3000+ real desktop and mobile devices online.
Try LambdaTest Now !!
Get 100 minutes of automation test minutes FREE!!
Was this article helpful?
