Classes
class	DataScale
class	FiducialPicker
class	ImagePublisher
class	InterestPointDataset
class	NarrowTextureFeatureExtractor
class	PCAIntensities
class	Recognize3DParam
class	ScanLabeler
class	SVM
class	SVMPCA_ActiveLearner
Functions
def	confusion_matrix
def	dataset_to_libsvm
def	draw_dataset
def	draw_labeled_points
def	draw_points
def	find_max_in_density
def	insert_folder_name
def	instance_to_image
def	instances_to_image
def	inverse_indices
def	load_data_from_file2
def	make_point_exclusion_test_set
def	preprocess_data_in_dir
def	preprocess_scan_extract_features
Variables
tuple	current_scan_pred = InterestPointDataset(xs, results, locs2d, locs3d, None)
tuple	dataset = ut.load_pickle(fname)
string	dest = 'mode'
list	dset = locations['data']
tuple	fname = raw_input('pick a file name')
tuple	fp = FiducialPicker(args[0])
tuple	fpfh = rospy.ServiceProxy('fpfh', fsrv.FPFHCalc)
string	help = 'fiducialpicker, preprocess, or label'
tuple	histogram = np.matrix(res.hist.histograms)
tuple	img = cv.CloneMat(cdisp['cv'])
tuple	ip = ImagePublisher('active_learn')
list	keys = locations['data']
tuple	kfe = KinectFeatureExtractor()
tuple	learner = SVMPCA_ActiveLearner(use_pca=True)
tuple	locations = ut.load_pickle(opt.locations)
	mode = opt.mode
tuple	neg_to_pos_ratio = float(nneg)
int	NEGATIVE = 0
tuple	nneg = np.sum(dataset.outputs == NEGATIVE)
tuple	npos = np.sum(dataset.outputs == POSITIVE)
tuple	p = optparse.OptionParser()
tuple	picked_i = int(raw_input('pick a key to use'))
tuple	points3d = np.matrix(res.hist.points3d)
float	POSITIVE = 1.0
tuple	req = fsrv.FPFHCalcRequest()
tuple	res = fpfh(req)
tuple	results = np.matrix(learner.classify(sdset))
tuple	s
list	seed_dset = keys[i]
	trained = False
float	UNLABELED = 2.0
string	weight_balance = ' -w0 1 -w1 %.2f'

Function Documentation

def hai_sandbox.recognize_3d.confusion_matrix	(	true_labels,
		predicted
	)

Definition at line 44 of file recognize_3d.py.

def hai_sandbox.recognize_3d.dataset_to_libsvm	(	dataset,
		filename
	)

Definition at line 125 of file recognize_3d.py.

def hai_sandbox.recognize_3d.draw_dataset	(	dataset,
		img,
		scale = `1.`,
		size = `2`,
		scan_id = `None`
	)

Definition at line 153 of file recognize_3d.py.

def hai_sandbox.recognize_3d.draw_labeled_points	(	image,
		dataset,
		pos_color = `[255`,
		neg_color = `[0`,
		scale = `1.`
	)

Definition at line 140 of file recognize_3d.py.

def hai_sandbox.recognize_3d.draw_points	(	img,
		img_pts,
		color,
		size = `1`,
		thickness = `-1`
	)

Definition at line 148 of file recognize_3d.py.

def hai_sandbox.recognize_3d.find_max_in_density ( locs2d )

Definition at line 700 of file recognize_3d.py.

def hai_sandbox.recognize_3d.insert_folder_name	(	apath,
		folder_name
	)

Definition at line 98 of file recognize_3d.py.

def hai_sandbox.recognize_3d.instance_to_image	(	win_size,
		instance,
		min_val,
		max_val
	)

Definition at line 79 of file recognize_3d.py.

def hai_sandbox.recognize_3d.instances_to_image	(	win_size,
		instances,
		min_val,
		max_val
	)

Definition at line 73 of file recognize_3d.py.

def hai_sandbox.recognize_3d.inverse_indices	(	indices_exclude,
		num_elements
	)

Definition at line 170 of file recognize_3d.py.

def hai_sandbox.recognize_3d.load_data_from_file2	(	fname,
		rec_param
	)

Definition at line 102 of file recognize_3d.py.

def hai_sandbox.recognize_3d.make_point_exclusion_test_set	(	training_dataset,
		all_data_dir,
		ext
	)

Definition at line 217 of file recognize_3d.py.

def hai_sandbox.recognize_3d.preprocess_data_in_dir	(	dirname,
		ext
	)

Definition at line 205 of file recognize_3d.py.

def hai_sandbox.recognize_3d.preprocess_scan_extract_features	(	raw_data_fname,
		ext
	)

Definition at line 176 of file recognize_3d.py.

Variable Documentation

tuple hai_sandbox::recognize_3d::current_scan_pred = InterestPointDataset(xs, results, locs2d, locs3d, None)

Definition at line 2108 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::dataset = ut.load_pickle(fname)

Definition at line 2085 of file recognize_3d.py.

string hai_sandbox::recognize_3d::dest = 'mode'

Definition at line 1962 of file recognize_3d.py.

list hai_sandbox::recognize_3d::dset = locations['data']

Definition at line 2010 of file recognize_3d.py.

list hai_sandbox::recognize_3d::fname = raw_input('pick a file name')

Definition at line 2009 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::fp = FiducialPicker(args[0])

Definition at line 1983 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::fpfh = rospy.ServiceProxy('fpfh', fsrv.FPFHCalc)

Definition at line 2054 of file recognize_3d.py.

string hai_sandbox::recognize_3d::help = 'fiducialpicker, preprocess, or label'

Definition at line 1963 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::histogram = np.matrix(res.hist.histograms)

Definition at line 2069 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::img = cv.CloneMat(cdisp['cv'])

Definition at line 2111 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::ip = ImagePublisher('active_learn')

Definition at line 2096 of file recognize_3d.py.

list hai_sandbox::recognize_3d::keys = locations['data']

Definition at line 2004 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::kfe = KinectFeatureExtractor()

Definition at line 2082 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::learner = SVMPCA_ActiveLearner(use_pca=True)

Definition at line 2094 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::locations = ut.load_pickle(opt.locations)

Definition at line 2003 of file recognize_3d.py.

hai_sandbox::recognize_3d::mode = opt.mode

Definition at line 1975 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::neg_to_pos_ratio = float(nneg)

Definition at line 2092 of file recognize_3d.py.

int hai_sandbox::recognize_3d::NEGATIVE = 0

Definition at line 42 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::nneg = np.sum(dataset.outputs == NEGATIVE)

Definition at line 2086 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::npos = np.sum(dataset.outputs == POSITIVE)

Definition at line 2087 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::p = optparse.OptionParser()

Definition at line 1960 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::picked_i = int(raw_input('pick a key to use'))

Definition at line 2007 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::points3d = np.matrix(res.hist.points3d)

Definition at line 2070 of file recognize_3d.py.

float hai_sandbox::recognize_3d::POSITIVE = 1.0

Definition at line 41 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::req = fsrv.FPFHCalcRequest()

Definition at line 2059 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::res = fpfh(req)

Definition at line 2064 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::results = np.matrix(learner.classify(sdset))

Definition at line 2107 of file recognize_3d.py.

tuple hai_sandbox::recognize_3d::s

Initial value:

00001 ScanLabeler(args[0], ext='_features_df2_dict.pkl', scan_to_train_on=opt.train, 
00002                 seed_dset=opt.seed, features_to_use=opt.feature)

Definition at line 2020 of file recognize_3d.py.

list hai_sandbox::recognize_3d::seed_dset = keys[i]

Definition at line 2008 of file recognize_3d.py.

hai_sandbox::recognize_3d::trained = False

Definition at line 2095 of file recognize_3d.py.

float hai_sandbox::recognize_3d::UNLABELED = 2.0

Definition at line 40 of file recognize_3d.py.

string hai_sandbox::recognize_3d::weight_balance = ' -w0 1 -w1 %.2f'

Definition at line 2093 of file recognize_3d.py.

Classes

Functions

Variables

Function Documentation

Variable Documentation