I'm trying to use OpenCV to analyze a 10 min video for green in the top right corner and printing out the time stamps every time there is green. I've used meanshift and tried splitting it into frames but a 10 minute long video would require a lot of frames -- especially since I'm trying to be accurate.
I was thinking of masking over the green, but there isn't a way to print the time stamps... any tips on what packages or tools I should use?
Here's what I have, and I've tried basically everything in OpenCV but I've never used it before so I'm lost...
import cv2
import numpy as np
cap = cv2.VideoCapture('video.mp4')
# This drives the program into an infinite loop.
while(1):
# Captures the live stream frame-by-frame
_, frame = cap.read()
# Converts images from BGR to HSV
hsv = cv2.cvtColor(frame, cv2.COLOR_BGR2HSV)
lower_red = np.array([121, 240, 9]) # darker green
upper_red = np.array([254,255,255]) # white green
# Defining range of green color in HSV
# This creates a mask
mask = cv2.inRange(hsv, lower_red, upper_red)
# that only the green coloured objects are highlighted
res = cv2.bitwise_and(frame,frame, mask= mask)
cv2.imshow('frame',frame)
cv2.imshow('mask',mask)
cv2.imshow('res',res)
k = cv2.waitKey(5) & 0xFF
# if k == 27: break
# Destroys all of the HighGUI windows.
cv2.destroyAllWindows()
# release the captured frame
cap.release()
Splitting the frames gives me thousands of images and just reading the video doesn't give me time stamps, which is what I want it to print out. Thanks!
