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from __future__ import print_function
from __future__ import division
import cv2 as cv
import numpy as np
import argparse
def Hist_and_Backproj(val):
## [initialize]
bins = val
histSize = max(bins, 2)
ranges = [0, 180] # hue_range
## [initialize]
## [Get the Histogram and normalize it]
hist = cv.calcHist([hue], [0], None, [histSize], ranges, accumulate=False)
cv.normalize(hist, hist, alpha=0, beta=255, norm_type=cv.NORM_MINMAX)
## [Get the Histogram and normalize it]
## [Get Backprojection]
backproj = cv.calcBackProject([hue], [0], hist, ranges, scale=1)
## [Get Backprojection]
## [Draw the backproj]
cv.imshow('BackProj', backproj)
## [Draw the backproj]
## [Draw the histogram]
w = 400
h = 400
bin_w = int(round(w / histSize))
histImg = np.zeros((h, w, 3), dtype=np.uint8)
for i in range(bins):
cv.rectangle(histImg, (i*bin_w, h), ( (i+1)*bin_w, h - int(np.round( hist[i]*h/255.0 )) ), (0, 0, 255), cv.FILLED)
cv.imshow('Histogram', histImg)
## [Draw the histogram]
## [Read the image]
parser = argparse.ArgumentParser(description='Code for Back Projection tutorial.')
parser.add_argument('--input', help='Path to input image.')
args = parser.parse_args()
src = cv.imread(args.input)
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
## [Read the image]
## [Transform it to HSV]
hsv = cv.cvtColor(src, cv.COLOR_BGR2HSV)
## [Transform it to HSV]
## [Use only the Hue value]
ch = (0, 0)
hue = np.empty(hsv.shape, hsv.dtype)
cv.mixChannels([hsv], [hue], ch)
## [Use only the Hue value]
## [Create Trackbar to enter the number of bins]
window_image = 'Source image'
cv.namedWindow(window_image)
bins = 25
cv.createTrackbar('* Hue bins: ', window_image, bins, 180, Hist_and_Backproj )
Hist_and_Backproj(bins)
## [Create Trackbar to enter the number of bins]
## [Show the image]
cv.imshow(window_image, src)
cv.waitKey()
## [Show the image]
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