nikgens

# python dynamic_color_tracking.py --filter HSV --webcam

import cv2
import argparse
import numpy as np


def callback(value):
    pass

nikgens

#!/usr/bin/env python
# import the necessary packages
from __future__ import division
from scipy.spatial import distance as dist
import numpy as np
import time
import dlib
import cv2
from collections import OrderedDict

nikgens

#!/usr/bin/python
from __future__ import division
import dlib
import cv2
import numpy as np

def resize(img, width=None, height=None, interpolation=cv2.INTER_AREA):
    global ratio
    w, h = img.shape

nikgens

from __future__ import division
import cv2
import numpy as np
import matplotlib.pyplot as plt
import os

os.chdir('C:/Users/gennady.nikitin/Dropbox/Coding/OpenCV')

# define variable for resize tratio
ratio = 1

nikgens

import cv2
import numpy as np
import imutils

def nothing(x):
    pass

# Load an image
img = cv2.imread('ellipse.jpg')

nikgens

import cv2
import numpy as np
import imutils

img = cv2.imread('circle1.jpg')
if img.shape[1] > 600:
    img = imutils.resize(img, width=600)
clone = img.copy()
gray = cv2.cvtColor(clone, cv2.COLOR_BGR2GRAY)

nikgens

# import the necessary packages
import numpy as np
import imutils
import cv2

# initialize the list of reference points and boolean indicating
# whether cropping is being performed or not
x_start, y_start, x_end, y_end = 0, 0, 0, 0
cropping = False
getROI = False

nikgens

# usage $ python click_and_crop.py --image sample.jpg
# import the necessary packages
import argparse
import cv2
import numpy as np
 
# initialize the list of reference points and boolean indicating
# whether cropping is being performed or not
x_start, y_start, x_end, y_end = 0, 0, 0, 0
cropping = False