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detectbeacon.py
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detectbeacon.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Feb 14 04:01:57 2022
@author: cosmi
Load the video
Extract an image from the video in order to elect region of interest (ROI)
by drawing a circle and locking around it
Go through the entire video to detect pixel changes in the ROI
Log/plot the time when the changes exceed a threshold
"""
import cv2
import numpy as np
import warnings
warnings.filterwarnings("ignore")
cap = cv2.VideoCapture('video_test2.mp4')
while True:
ret, frame = cap.read()
if ret == True:
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
#lower_yellow = np.array([20, 0, 0])
#upper_yellow = np.array([40, 255, 255])
#lower_red = np.array([160, 105, 84])
#upper_red = np.array([179, 255, 255])
lower_blue = np.array([100, 60, 60])
upper_blue = np.array([150, 255, 255])
mask = cv2.inRange(hsv, lower_blue, upper_blue)
res = cv2.bitwise_and(frame, frame, mask=mask)
src_height, src_width, src_channels = frame.shape
max_value = src_height * src_width * 255
(minVal, maxVal, minLoc, maxLoc) = cv2.minMaxLoc(mask)
img = cv2.medianBlur(res, 5)
ccimg = cv2.cvtColor(img, cv2.COLOR_HSV2BGR)
cimg = cv2.cvtColor(ccimg, cv2.COLOR_BGR2GRAY)
#circles = cv2.HoughCircles(cimg, cv2.HOUGH_GRADIENT, 1, 20, param1=50, param2=30, minRadius=20, maxRadius=30)
# Find changes in the masked grayscale image
ret, contours = cv2.findContours(cimg, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
if contours is not None:
print("beacon is found")
contours = np.uint16(np.around(contours))
blueVal = float(mask.sum()) / float(max_value)
print(blueVal)
for i in contours[0, :]:
cv2.circle(cimg, (i[0], i[1]), i[2], (0, 255, 0), 2)
cv2.circle(cimg, (i[0], i[1]), 2, (0, 0, 255), 3)
cv2.circle(res, maxLoc, 50, (0, 0, 255), 2, cv2.LINE_AA)
cv2.imshow('flash', frame)
cv2.imshow('detected circles', cimg)
cv2.imshow('res', res)
else:
print("Read Failed")
#wait for q key to quit
if cv2.waitKey(1) & 0xFF == ord("q"):
break
cv2.destroyAllWindows()