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
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
#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
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(