Comments (4)
Thank you for the clarifications and advice! I will mark this as closed for now, and I will let you know if I have any other questions.
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A follow up question - for the UCY dataset, the frame_id starts at 10. Is this 1-indexed (i.e. the 10th frame of the video), or 0-indexed (i.e. the 11th frame of the video)? Apologies if this seems pedantic, but I would like to be as precise as possible.
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Hi @vadeshah
I assume an easy way to do what you want is to use OpenCV VideoCapture.
You can find an example in ui_cv.py.
You can then save each frame using cv2.imwrite()
function.
Regarding your 2nd question (both the annotations and video frame indices) are 0-indexed.
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Hi there!
I'm now trying to perform the same task using the ETH dataset, but I'm running into some inconsistencies with the timestamps and the frame rate of the video. In the seq_eth scenario, according to VLC, the video has been captured at 25 fps; in the dataframe, however, each row is a 0.4-second sample, but the frame_id only increases by 6 (if it were sampled at 25 fps, this should increase by 10). Does this mean that the video is actually 15 fps, or have these frame_ids been assigned incorrectly? Any clarification would be greatly appreciated!
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