def object_landmark_features(self, agent, f_prism, r_words, l_prism): result_dict = {} assert not isnan(l_prism.points_xy[0][0]) assert not isnan(f_prism.points_xy[0][0]) prism_dict = compute_fdict(sf.sfe_f_prism_l_prism_names(), sf.sfe_f_prism_l_prism(f_prism, l_prism, normalize=True)) result_dict = merge(result_dict, prism_dict) ax, ay, agent_theta = agent.path.points_xytheta for name, theta in [("avs_theta_start", agent_theta[0]), ("avs_theta_end", agent_theta[-1]), ("avs_theta_avg", na.mean(agent_theta))]: avs_dict = compute_fdict(sf.spatial_features_names_avs_polygon_polygon(), sf.spatial_features_avs_polygon_polygon(f_prism.points_xy, l_prism.points_xy, theta)) result_dict = merge(result_dict, add_prefix(name, avs_dict)) #print "******************" #theta = agent_theta[0] theta = agent_theta[0] #print "agent theta", degrees(theta) #print "f_centroid", f_prism.centroid2d() #print "l_centroid", l_prism.centroid2d() if not array_equal(f_prism.centroid2d(), l_prism.centroid2d()): angle_btwn_points = sf.math2d_angle(na.array(f_prism.centroid2d()) - na.array(l_prism.centroid2d())) #print "angle between points", degrees(angle_btwn_points) angle = theta - angle_btwn_points - math.pi/4 #print "angle", degrees(angle) quadrant = sf.math2d_angle_to_quadrant(angle) octant = sf.math2d_angle_to_octant(angle + math.pi/8) #print "quadrant", quadrant #print "******************" else: quadrant = -1 octant = -1 #result_dict["f_in_l_quadrant_%d" % quadrant] = 1 result_dict["f_in_l_quadrant"] = quadrant for i in range(-1, 8): result_dict["f_in_l_octant_%d" % i] = 0 result_dict["f_in_l_octant_%d" % octant] = 1 result_dict = dict((f, v) for f, v in result_dict.iteritems() if (("avsg" not in f) and ("avsHeightExp" not in f) and ("avsResult" not in f))) result_dict = add_word_features(result_dict, r_words) return result_dict
def testSupports2(self): f_prism = Prism.from_points_xy( array([[12.40321594, 11.89190306, 10.48174026, 10.99305313], [50.60192082, 52.01208363, 51.50077075, 50.09060794]]), 0.0, 2.0) l_prism = Prism.from_points_xy( array([[10.77335704, 10.26535702, 11.3045877, 11.81258772], [51.37659439, 52.25647628, 52.85647637, 51.97659448]]), 0.30952800960131738, 1.3382280096013166) mpl.gca().clear() mpl.gca().set_aspect("equal") #mpl.show() features = compute_fdict( sfe_f_prism_l_prism_names(), sfe_f_prism_l_prism(f_prism, l_prism, normalize=True)) self.assertEqual(features["F_3dSupportsLandmarkFigure"], 0) self.assertEqual(features["F_3dSupportsFigureLandmark"], 1) self.assertEqual(features["F_3dIntersectsFigureLandmark"], 1) self.assertEqual(features["F_3dEndsHigherThanLandmarkFigure"], 0) self.assertEqual(features["F_3dEndsHigherThanFigureLandmark"], 1) self.assertEqual(features["F_3dStartsHigherThanLandmarkFigure"], 1) self.assertEqual(features["F_3dStartsHigherThanFigureLandmark"], 0)
def testSupports1(self): f_prism = Prism.from_points_xy( array([[16.26972295, 17.58320551, 16.85879986, 15.5453173], [47.84974226, 48.57414791, 49.88763048, 49.16322482]]), 0.0, 2.0) l_prism = Prism.from_points_xy( array([[17.28494274, 16.78494273, 17.82417321, 18.32417321], [48.70261888, 49.56864429, 50.16864428, 49.30261887]]), 0.27844635713715404, 0.98183174233715431) mpl.gca().clear() mpl.gca().set_aspect("equal") #mpl.show() features = compute_fdict( sfe_f_prism_l_prism_names(), sfe_f_prism_l_prism(f_prism, l_prism, normalize=True)) self.assertEqual(features["F_3dSupportsLandmarkFigure"], 0) self.assertEqual(features["F_3dSupportsFigureLandmark"], 1) self.assertEqual(features["F_3dIntersectsFigureLandmark"], 1) self.assertEqual(features["F_3dEndsHigherThanLandmarkFigure"], 0) self.assertEqual(features["F_3dEndsHigherThanFigureLandmark"], 1) self.assertEqual(features["F_3dStartsHigherThanLandmarkFigure"], 1) self.assertEqual(features["F_3dStartsHigherThanFigureLandmark"], 0)
def destFromCorpus(self): f_prism = Prism( array([[8.20976285, 7.35040178, 12.13996339, 12.99932446], [52.3373722, 54.04890265, 56.4537461, 54.74221565]]), 0.44360731519999963, 0.8500074167999998) l_prism = Prism( array([[19.08576266, 20.43434719, 19.77759778, 18.42901326], [34.78776701, 35.44451641, 36.79310093, 36.13635153]]), 0.0, 2.0) agent_theta = [ 0.45318688, 0.44080626, 0.39198138, 0.26087461, 0.02694216, 0.04905031 ] features = compute_fdict( spatial_features_names_avs_polygon_polygon(), spatial_features_avs_polygon_polygon(f_prism.points_xy, l_prism.points_xy, agent_theta[0])) mpl.gca().set_aspect("equal") #mpl.show() for key, value in sorted(features.iteritems()): print key, value assert allclose(features["F_avsHeight_-1_0"], -1.2797392167521806) assert allclose(features["F_avsHeight_0_-1"], 0.96482147016613318) assert allclose(features["F_avsHeight_0_1"], 0.99831498193067569) assert allclose(features["F_avsHeight_1_0"], 1.3390039512081222)
def np_features(self, f_words, object_grounding): """ Compute features for a noun phrase, given a grounding. """ assert not isnan(object_grounding.points_xy[0][0]) result_dict = {} polygon_dict = compute_fdict(sf.flu_polygon_names(vectors(f_words)), sf.flu_polygon(vectors(f_words), object_grounding.points_xy, True)) figure_i = self.add_landmark(object_grounding) result_dict = merge(result_dict, polygon_dict) if hasattr(object_grounding, "tags"): visible_objects = self._get_landmark_context(figure_i) lo_dict = language_object(f_words, visible_objects, object_grounding.tags) result_dict = merge(result_dict, lo_dict) return result_dict
def path_landmark_features(self, f_path, r_words, l_grounding): fdict = compute_fdict(sf.sfe_f_path_l_polygon_names(), sf.sfe_extract_f_path_l_polygon(f_path.points_xytheta, l_grounding.points_xy, normalize=True)) fdict = add_word_features(fdict, r_words) return fdict
def test_features(self): from spatial_feature_expected_results import results for result in results: fig_xyth = result["args"]["fig_xyth"] gnd_xy = result["args"]["gnd_xy"] result_dict = result["result"] feats_C = sfe_extract_f_path_l_polygon(fig_xyth, gnd_xy, normalize=True) names_C = sfe_f_path_l_polygon_names() fdict = compute_fdict(names_C, feats_C) for key, value in fdict.iteritems(): expected_value = result_dict[key] assert_sorta_eq(value, expected_value)
def testFunkyArguments(self): """ Test that it returns the same values. """ otheta = 1.1752771158 of_points_xy = [[ 19.08576266, 20.43434719, 19.77759778, 18.42901326, ], [ 34.78776701, 35.44451641, 36.79310093, 36.13635153, ]] ol_points_xy = [[ 19.08576266, 20.43434719, 19.77759778, 18.42901326, ], [ 34.78776701, 35.44451641, 36.79310093, 36.13635153, ]] result = None for i in range(0, 20): print "i", i fvec = compute_fdict( spatial_features_names_avs_polygon_polygon(), spatial_features_avs_polygon_polygon(of_points_xy, ol_points_xy, otheta)) if result == None: result = fvec else: for key in result.keys(): print key self.assertEqual(result[key], fvec[key])
def testSupports(self): f_prism = Prism.from_points_xy( array([[12.19116674, 11.65687213, 10.8115738, 11.34586841], [49.87727769, 50.72257602, 50.18828141, 49.34298308]]), 0.0, 2.0) l_prism = Prism.from_points_xy( array([[10.61577541, 10.11577543, 11.15500591, 11.6550059], [50.24525845, 51.11128387, 51.71128384, 50.84525842]]), 0.30936596999170651, 1.0127513551917064) mpl.gca().clear() mpl.gca().set_aspect("equal") #mpl.show() features = compute_fdict( sfe_f_prism_l_prism_names(), sfe_f_prism_l_prism(f_prism, l_prism, normalize=True)) self.assertEqual(features["F_3dSupportsLandmarkFigure"], 0) self.assertEqual(features["F_3dSupportsFigureLandmark"], 0) self.assertEqual(features["F_3dIntersectsFigureLandmark"], 0)
def testSameFigureAndLandmark(self): f_prism = Prism.from_points_xy( array([[21.72099827, 21.22099828, 22.26022877, 22.76022875], [40.789814, 41.65583942, 42.25583939, 41.38981397]]), 3.3273999996559184e-06, 0.70338871259999969) l_prism = Prism.from_points_xy( array([[21.72099827, 21.22099828, 22.26022877, 22.76022875], [40.789814, 41.65583942, 42.25583939, 41.38981397]]), 3.3273999996559184e-06, 0.70338871259999969) features = compute_fdict( sfe_f_prism_l_prism_names(), sfe_f_prism_l_prism(f_prism, l_prism, normalize=True)) #mpl.show() self.assertEqual(features["F_3dSupportsLandmarkFigure"], 0) self.assertEqual(features["F_3dSupportsFigureLandmark"], 0) self.assertEqual(features["F_3dIntersectsFigureLandmark"], 1)
def testNotOverlapping(self): fend = Prism.from_points_xy( array([[11.38086607, 11.11520079, 10.6916185, 10.95728378], [50.18213065, 50.60571294, 50.34004767, 49.91646537]]), 0.0, 2.0) lend = Prism.from_points_xy( array([[8.81022941, 8.31022943, 9.34945991, 9.8494599], [52.6054371, 53.47146252, 54.07146249, 53.20543707]]), 0.81463427695147927, 1.5180196621514792) features = compute_fdict( sfe_f_prism_l_prism_names(), sfe_f_prism_l_prism(fend, lend, normalize=True)) self.assertEqual(math3d_higher_than(fend, lend), True) self.assertEqual(math3d_higher_than(lend, fend), False) self.assertEqual(math2d_overlaps(fend.points_xy, lend.points_xy), False) self.assertEqual(math3d_intersect_prisms(fend, fend), True) self.assertEqual(features["F_3dSupportsLandmarkFigure"], 0) self.assertEqual(features["F_3dSupportsFigureLandmark"], 0)