Created
January 16, 2017 05:40
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OpenCV Thresholding Sliders
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import cv2 as cv | |
import sys | |
minHue = 0 | |
maxHue = 255 | |
if (len(sys.argv) == 3): | |
print("Usage: " + str(sys.argv[1]) + " <imgpath>") | |
sys.exit() | |
img = cv.imread(sys.argv[1]) | |
img = cv.GaussianBlur(img, (3,3), 1, 1) | |
cvted = cv.cvtColor(img, cv.COLOR_BGR2HSV) | |
seperated = cv.split(cvted) | |
hue = seperated[0] | |
def thresh(): | |
a, lower = cv.threshold(hue, minHue, 255, cv.THRESH_BINARY) | |
b, upper = cv.threshold(hue, maxHue, 255, cv.THRESH_BINARY_INV) | |
result = lower & upper | |
cv.destroyWindow("Thresholded") | |
cv.imshow("Thresholded", result) | |
def changeLower(num): | |
minHue = num | |
print("Min Hue: " + str(minHue)) | |
thresh() | |
def changeUpper(num): | |
maxHue = num | |
print("Max Hue: " + str(maxHue)) | |
thresh() | |
cv.namedWindow("Threshold Controls", cv.WINDOW_NORMAL) | |
cv.createTrackbar("hueMin", "Threshold Controls", minHue, 255, changeLower) | |
cv.createTrackbar("hueMax", "Threshold Controls", maxHue, 255, changeUpper) | |
#cv.namedWindow("Thresholded", cv.WINDOW_NORMAL) | |
thresh() | |
cv.waitKey(0) | |
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