Discrepancy Between Frame Count Using OpenCV's cv2.VideoCapture and Manual Counting in Python

I am working on a video processing project using OpenCV in Python, and I've encountered a strange issue related to counting the number of frames in a video. I am using cv2.VideoCapture to read the frames from a video file, but I am getting inconsistent results when counting the total number of frames.

Here's the code snippet I'm using:

import cv2video_path = 'MSP-IMPROV-S01A-F01-P-MF01.avi'cap = cv2.VideoCapture(video_path)fps = cap.get(cv2.CAP_PROP_FPS)print(f"FPS: {fps}")total_frames = int(cap.get(cv2.CAP_PROP_FRAME_COUNT))print("Total frames using cv2.VideoCapture:", total_frames)cap = cv2.VideoCapture(video_path)frame_count = 0while cap.isOpened():    ret, _ = cap.read()    if not ret:        break    frame_count += 1cap.release()print("Manually counted frames:", frame_count)

The output I'm getting is as follows:

FPS: 59.94005994005994Total frames using cv2.VideoCapture: 1187Manually counted frames: 594

Initially, I was puzzled by the discrepancy in the frame counts. However, upon closer inspection of the output frames, I noticed that the frames are being halved, and it seems OpenCV is skipping frames uniformly with a stride of one (i.e., one every two frames).

Could this be an issue with how OpenCV is reading the video file? Here are some additional considerations:

The video file format is AVI. Could this format be influencing how OpenCV reads the frames?Is this a known behavior or limitation in OpenCV's frame reading mechanism?Are there specific settings or parameters in cv2.VideoCapture that I need to adjust to avoid skipping frames?I would greatly appreciate any insights or suggestions on how to ensure that OpenCV reads every frame of the video without skipping.

Thank you for your help!