Reputation: 3781
I have the following code, which continuously fetches all the frames from a video by using VideoCapture library in opencv in python:
import cv2
def frame_capture:
cap = cv2.VideoCapture("video.mp4")
while not cap.isOpened():
cap = cv2.VideoCapture("video.mp4")
cv2.waitKey(1000)
print "Wait for the header"
pos_frame = cap.get(cv2.cv.CV_CAP_PROP_POS_FRAMES)
while True:
flag, frame = cap.read()
if flag:
# The frame is ready and already captured
cv2.imshow('video', frame)
pos_frame = cap.get(cv2.cv.CV_CAP_PROP_POS_FRAMES)
print str(pos_frame)+" frames"
else:
# The next frame is not ready, so we try to read it again
cap.set(cv2.cv.CV_CAP_PROP_POS_FRAMES, pos_frame-1)
print "frame is not ready"
# It is better to wait for a while for the next frame to be ready
cv2.waitKey(1000)
if cv2.waitKey(10) == 27:
break
if cap.get(cv2.cv.CV_CAP_PROP_POS_FRAMES) == cap.get(cv2.cv.CV_CAP_PROP_FRAME_COUNT):
# If the number of captured frames is equal to the total number of frames,
# we stop
break
But I want to grab a specific frame in a specific timestamp in the video.
How can I achieve this?
Upvotes: 19
Views: 52096
Reputation: 81
this is my first post so please don't rip into me if I don't follow protocol completely. I just wanted to respond to June Wang just in case she didn't figure out how to set the number of frames to be extracted, or in case anyone else stumbles upon this thread with that question:
The solution is the good ol' for loop:
vid = cv2.VideoCapture(video_path)
for i in range(start_frame, start_frame+how_many_frames_you_want):
vid.set(1, i)
ret, still = vid.read()
cv2.imwrite(f'{video_path}_frame{i}.jpg', still)
Upvotes: 8
Reputation: 995
You can use set() function of VideoCapture.
You can calculate total frames:
cap = cv2.VideoCapture("video.mp4")
total_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
Here 7 is the prop-Id. You can find more here http://docs.opencv.org/2.4/modules/highgui/doc/reading_and_writing_images_and_video.html
After that you can set the frame number, suppose i want to extract 100th frame
cap.set(cv2.CAP_PROP_FRAME_COUNT, 100)
ret, frame = cap.read()
cv2.imwrite("path_where_to_save_image", frame)
Upvotes: 41