["python","opencv"]
OpenCV/Python: read specific frame using VideoCapture

Is there a way to get a specific frame using VideoCapture() method? My current code is: import numpy as np import cv2 cap = cv2.VideoCapture('video.avi') This is my reference tutorial.
Thank you GPPK. The video parameters should be given as integers. Each flag has its own value. See here for the code. The correct solution is: import numpy as np import cv2 #Get video name from user #Ginen video name must be in quotes, e.g. "pirkagia.avi" or "plaque.avi" video_name = input("Please give the video name including its extension. E.g. \"pirkagia.avi\":\n") #Open the video file cap = cv2.VideoCapture(video_name) #Set frame_no in range 0.0-1.0 #In this example we have a video of 30 seconds having 25 frames per seconds, thus we have 750 frames. #The examined frame must get a value from 0 to 749. #For more info about the video flags see here: https://stackoverflow.com/questions/11420748/setting-camera-parameters-in-opencv-python #Here we select the last frame as frame sequence=749. In case you want to select other frame change value 749. #BE CAREFUL! Each video has different time length and frame rate. #So make sure that you have the right parameters for the right video! time_length = 30.0 fps=25 frame_seq = 749 frame_no = (frame_seq /(time_length*fps)) #The first argument of cap.set(), number 2 defines that parameter for setting the frame selection. #Number 2 defines flag CV_CAP_PROP_POS_FRAMES which is a 0-based index of the frame to be decoded/captured next. #The second argument defines the frame number in range 0.0-1.0 cap.set(2,frame_no); #Read the next frame from the video. If you set frame 749 above then the code will return the last frame. ret, frame = cap.read() #Set grayscale colorspace for the frame. gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) #Cut the video extension to have the name of the video my_video_name = video_name.split(".")[0] #Display the resulting frame cv2.imshow(my_video_name+' frame '+ str(frame_seq),gray) #Set waitKey cv2.waitKey() #Store this frame to an image cv2.imwrite(my_video_name+'_frame_'+str(frame_seq)+'.jpg',gray) # When everything done, release the capture cap.release() cv2.destroyAllWindows()