longcw

import itertools
from collections import defaultdict

import numpy as np
from cvxopt import glpk, matrix, spmatrix

glpk.options = {"msg_lev": "GLP_MSG_ERR"}


FROZEN_POS_EDGE = -1

IAmSuyogJadhav

import cv2

image = cv2.imread('test.jpg')
overlay = image.copy()

x, y, w, h = 10, 10, 10, 10  # Rectangle parameters
cv2.rectangle(overlay, (x, y), (x+w, y+h), (0, 200, 0), -1)  # A filled rectangle

alpha = 0.4  # Transparency factor.

tterb

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kastnerkyle

# (C) Kyle Kastner, June 2014
# License: BSD 3 clause

import scipy.stats as st
import numpy as np

class gmmhmm:
    #This class converted with modifications from https://code.google.com/p/hmm-speech-recognition/source/browse/Word.m
    def __init__(self, n_states):
        self.n_states = n_states

vkotovv

def clear_data(session):
    meta = db.metadata
    for table in reversed(meta.sorted_tables):
        print 'Clear table %s' % table
        session.execute(table.delete())
    session.commit()