Python Skelenonizer Examples

Example #1

File: tools_Ellipse.py Project: dryabokon/tools

    def __init__(self, folder_out=None):
        self.folder_out = folder_out

        if folder_out is not None:
            self.folder_cache = self.folder_out + 'cache/'
        else:
            self.folder_cache = None

        self.name = "Ellipse processor"

        self.Ske = tools_Skeletone.Skelenonizer(folder_out)
        return

Example #2

    def __init__(self, folder_out):
        self.name = "detector_Zebra"
        self.folder_out = folder_out
        self.th = 200
        self.W_min = 3
        self.W_max = 27

        self.L = 10
        self.pad = 2
        self.zebra_rotations = 3
        self.gray_prev = None

        self.Skelenonizer = tools_Skeletone.Skelenonizer()
        return

Example #3

File: ex27_vanishing_point.py Project: dryabokon/geometry

#https://github.com/WolfgangFahl/play-chess-with-a-webcam/blob/master/examples/opencv/warp.py
import cv2
import numpy
import tools_Hough
import tools_Skeletone
import tools_render_CV
# ---------------------------------------------------------------------------------------------------------------------
folder_out = './images/output/'
Ske = tools_Skeletone.Skelenonizer(folder_out)
Hough = tools_Hough.Hough()
# ---------------------------------------------------------------------------------------------------------------------


def example_01():
    image = cv2.imread('./images/ex_lines/chessboard10.jpg')
    #p_src = numpy.array([(432, 103), (1380, 94), (1659, 1029), (138, 1052)], dtype=numpy.float32)
    p_src = numpy.array([(1659, 1029), (432, 103), (1380, 94), (138, 1052)],
                        dtype=numpy.float32)
    image_wrapped = tools_render_CV.four_point_transform(image, p_src)
    cv2.imwrite(folder_out + 'wrapped.png', image_wrapped)
    return


# ---------------------------------------------------------------------------------------------------------------------
def example_02():
    image = cv2.imread('./images/ex_lines/frame000000.jpg')
    image_wrapped = tools_render_CV.inverce_perspective_mapping(
        image, (628, 88), (0, 275, 1280, 275))
    cv2.imwrite(folder_out + 'wrapped.png', image_wrapped)
    return

Example #4

import cv2
import math
import numpy
from scipy.special import ellipeinc
from scipy import optimize
# ----------------------------------------------------------------------------------------------------------------------
import tools_IO
import tools_image
import tools_Fornaciari
import tools_Skeletone
import tools_render_CV
# ----------------------------------------------------------------------------------------------------------------
folder_out = './images/output/'
filename_in = './images/ex_ellipses/original.png'
# ----------------------------------------------------------------------------------------------------------------
Ske = tools_Skeletone.Skelenonizer()
F = tools_Fornaciari.Fornaciari(folder_out)


# ----------------------------------------------------------------------------------------------------------------
def match_segment_ellipse_slow(points, ellipse, tol=10):

    for point in points:
        dst = tools_render_CV.distance_point_ellipse(point, ellipse)
        if numpy.isnan(dst) or dst > tol:
            return False
    return True


# ----------------------------------------------------------------------------------------------------------------
def generate_ellipse_points(