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import math

class Vec(object):
    def __init__(self, x, y, z):
        self.x = x
        self.y = y
        self.z = z

    @staticmethod
    def dot(v1, v2):

tatsy

import math
import numpy as np
import matplotlib.pyplot as plt

class Color(object):
    def __init__(self, r = 0.0, g = 0.0, b = 0.0):
        if not isinstance(r, float) or \
           not isinstance(g, float) or \
           not isinstance(b, float):
            raise Exception('Bad arguments!!')

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import os
import sys
import re
import argparse
import urllib.parse
import urllib.request

import requests
from bs4 import BeautifulSoup

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BasedOnStyle: Google

IndentWidth: 4
AccessModifierOffset: -4
IndentCaseLabels: false

AlignConsecutiveAssignments: false
AlignTrailingComments: true
BinPackArguments: true
DerivePointerAlignment: false

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Calculate edge orientation for digital images.

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#!/usr/bin/python

import os
import argparse
import cv2

def is_image_file(filename):
    """ Check whether the file name sounds like an image """
    image_extensions = ['.jpg', '.jpeg', '.png', '.bmp', '.tiff', '.tif']
    _, ext = os.path.splitext(filename)

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import os
import sys
import argparse

import numpy as np
import open3d as o3d

sys.path.append('./tools/python_toolbox/evaluation')

# Tau value for each scene in Table 1 of the paper.

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