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System used:

OpenCV = 4.1.1 (through opencv-python)
Operating System / Platform => Windows 10 64 Bit and Linux Mint 19.1

Detailed description:

Properties and frame indexes from videos recorded by the Logitech Webcam C920 are not properly read by OpenCV:

cv2.CAP_PROP_POS_MSEC returns 0.0 for a video that lasts 10.14 minutes.

cv2.CAP_PROP_FOURCC returns code 844516695.

cv2.CAP_PROP_FPS returns 1000 fps for videos that were recorded at 30 fps.

cv2.CAP_PROP_FRAME_COUNT returns 614126 frames. When decoding and counting them one by one gives 18416, a value that agrees with expected number of frames for a video of 10 minutes recorded at 30 fps.

Moreover, indexing frames by frame number results in wrong frame: for example, using this code you can display the frame number 60000, which doesnt exist:

import cv2

stream = cv2.VideoCapture('video.wmv')
frame_number = 60000
stream.set(0, frame_number)
ret, frame = stream.read()
cv2.imshow('', frame)
cv2.waitKey()
stream.release()
cv2.destroyAllWindows()

So in summary, apparently metadata from wmv videos recorded by Logitech webcam C920 cannot properly read (if it exists) by OpenCV.

Use following code and file to reproduce:

import cv2

stream = cv2.VideoCapture('video.wmv')
fps = stream.get(cv2.CAP_PROP_FPS)
total_frames = int(stream.get(cv2.CAP_PROP_FRAME_COUNT))
duration = stream.get(cv2.CAP_PROP_POS_MSEC)
fourcc = int(stream.get(cv2.CAP_PROP_FOURCC))

count = 0
while(True):
      ret, frame = stream.read()
        if not ret:
            break
        count += 1

stream.release()
cv2.destroyAllWindows()

Any ideas how to solve this?