stsvetanov

import cv2
import numpy as np
import poly_point_isect as bot


img = cv2.imread('parking.png')
gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)

kernel_size = 5
blur_gray = cv2.GaussianBlur(gray,(kernel_size, kernel_size),0)

stsvetanov

# https://www.geeksforgeeks.org/arithmetic-operations-on-images-using-opencv-set-2-bitwise-operations-on-binary-images/

# Python program to illustrate
# arithmetic operation of
# bitwise AND of two images

# organizing imports
import cv2
import numpy as np

stsvetanov

import cv2


def track_object(thresh_image):
    # findcontours
    cnts = cv2.findContours(thresh_image, cv2.RETR_LIST,
                            cv2.CHAIN_APPROX_SIMPLE)[0]

    # filter by area
    xcnts = []

stsvetanov

import cv2
from scipy.spatial import distance as dist

scale = 0.23

def midpoint(ptA, ptB):
    return (int((ptA[0] + ptB[0]) * 0.5), int((ptA[1] + ptB[1]) * 0.5))


def track_object(thresh_image):

stsvetanov

import cv2

img = cv2.imread('images/input1.png', cv2.IMREAD_UNCHANGED)

print('Original Dimensions : ', img.shape)

scale_percent = 60  # percent of original size
width = int(img.shape[1] * scale_percent / 100)
height = int(img.shape[0] * scale_percent / 100)
dim = (width, height)

stsvetanov

import cv2

# capture frames from a camera with device index=0
cap = cv2.VideoCapture(0)

print(cap.isOpened())

if not cap.isOpened():
    print("Can`t open the video file!\n")
    exit()

stsvetanov

import cv2

path = "images/multiple-blob.png"

img = cv2.imread(path, cv2.IMREAD_COLOR)
# convert the image to grayscale
gray_image = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

# convert the grayscale image to binary image
ret, thresh = cv2.threshold(gray_image, 127, 255, 0)

stsvetanov

import cv2

# Load an color image in grayscale
# img = cv2.imread('images/multiple-blob.png', 0)

# Load an color image in color
img = cv2.imread('images/multiple-blob.png', cv2.IMREAD_COLOR)
# img = cv2.imread('images/plate.jpg', cv2.IMREAD_COLOR)
# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

stsvetanov

import cv2

# Load an color image in grayscale
# img = cv2.imread('images/multiple-blob.png', 0)

# Load an color image in color
img = cv2.imread('images/multiple-blob.png', cv2.IMREAD_COLOR)
# Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)