Or is it necessary to use C++ OpenCV?

No, there is no necessity whatsoever. You can use any interface you like and you think you are good with it (OpenCV offers C, C++, Python interfaces).

For your problem about imwrite() and imread() :

For color images the order channel is normally Blue, Green, Red , this is what imshow() , imread() and imwrite() expect

Quoted from there

Answer from Seçkin Savaşçı on Stack Overflow
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OpenCV
opencv.org › home › news › reading and writing videos using opencv
Reading and Writing Videos using OpenCV
March 28, 2025 - Reading a video file requires processing each frame individually, and then displaying or storing it as needed. OpenCV provides the VideoCapture() function for this purpose, allowing users to load video files and access webcam streams in real-time.
Discussions

How to process images of a video, frame by frame, in video streaming using OpenCV and Python - Stack Overflow
Learn more about Collectives ... Bring the best of human thought and AI automation together at your work. Explore Stack Internal ... Save this question. Show activity on this post. I am a beginner in OpenCV. I want to do some image processing on the frames of a video which is being uploaded ... More on stackoverflow.com
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OpenCV. How do you catch a real time frame from OpenCV Video Capture - Uncategorized - OpenCV
Hello, I have a question about the following OpenCV code for reading videos. I’m working on a project that involves processing frames from a video using this code. From what I understand, when the video capture input is a video file, it processes the first frame before moving to the next ... More on forum.opencv.org
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0
October 16, 2023
C++ in Video/Data Processing
Learn about shared ownership of data(essentially shared_ptr). It makes passing around large amounts of data way easier. We do use OpenCV extensively. So maybe create an application that reads data from camera/mp4 and apply some filters? If this feels a bit too basic you could also do this GPU accelerated with CUDA or OpenGL. Visualizing you steps is helpful for debugging your process. If you are doing object detection on a video maybe show multiple streams showing the outputs of your steps. Also I would look up some concurrency models. For example we do use Qt and different objects living in different threads that create an image processing pipeline that communicate via signals. More on reddit.com
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12
25
January 11, 2025
[QUESTION] difficulty with simple video processing tutorial
Do you have previous programming experience? If not, I suggest that you get comfortable with that first. More on reddit.com
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5
2
December 30, 2020
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Educative
educative.io › answers › video-processing-using-opencv
Video processing using OpenCV
Line 1: Imports cv2 library. Line 48: Stores input video (named "input.mp4") in input_video_path variable. Line 49: Stores output video (named "output.mp4") in output_video_path variable. Line 51: Both video paths are passed to the process_video() function.
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YouTube
youtube.com › watch
Live Video Processing with OpenCV - YouTube
This Introduction to the Live Video Processing with OpenCV training video explains how to capture live video, perform face detection in real time using OpenC...
Published: March 12, 2019
Views: 49K
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Medium
medium.com › @Ralabs › the-beginners-guide-for-video-processing-with-opencv-aa744ec04abb
The Beginners Guide for Video Processing with OpenCV | by Ralabs | Medium
March 4, 2019 - OpenCV is an open source library which provides us with the tools to perform almost any kind of image and video processing. OpenCV is written in C++ and its primary interface is in C++.
Top answer
1 of 7
68

After reading the documentation of VideoCapture. I figured out that you can tell VideoCapture, which frame to process next time we call VideoCapture.read() (or VideoCapture.grab()).

The problem is that when you want to read() a frame which is not ready, the VideoCapture object stuck on that frame and never proceed. So you have to force it to start again from the previous frame.

Here is the code

import cv2

cap = cv2.VideoCapture("./out.mp4")
while not cap.isOpened():
    cap = cv2.VideoCapture("./out.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
2 of 7
31

Use this:

import cv2
cap = cv2.VideoCapture('path to video file')
count = 0
while cap.isOpened():
    ret,frame = cap.read()
    cv2.imshow('window-name', frame)
    cv2.imwrite("frame%d.jpg" % count, frame)
    count = count + 1
    if cv2.waitKey(10) & 0xFF == ord('q'):
        break

cap.release()
cv2.destroyAllWindows() # destroy all opened windows
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GeeksforGeeks
geeksforgeeks.org › python › python-process-images-of-a-video-using-opencv
Python - Process images of a video using OpenCV - GeeksforGeeks
June 4, 2024 - Thresh = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY_INV, 11, 2) cv2.imshow('Thresh', Thresh) # define q as the exit button if cv2.waitKey(25) & 0xFF == ord('q'): break # release the video capture object cap.release() # Closes all the windows currently opened.
Find elsewhere
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YouTube
youtube.com › watch
Tutorial - How to Process Video Frames Using OpenCV - YouTube
Access COMPLETE COURSES on Python HERE: https://academy.zenva.com/product/python-programming-mini-degree/?zva_src=youtube-description-securitycamopencvThis c...
Published: May 16, 2017
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ODSC - Open Data Science
odsc.medium.com › the-beginners-guide-for-video-processing-with-opencv-4e39795b942a
The Beginners Guide for Video Processing with OpenCV | by ODSC - Open Data Science | Medium
February 12, 2019 - OpenCV is an open source library which provides us with the tools to perform almost any kind of image and video processing. OpenCV is written in C++ and its primary interface is in C++.
🌐
OpenCV
forum.opencv.org › uncategorized
OpenCV. How do you catch a real time frame from OpenCV Video Capture - Uncategorized - OpenCV
October 16, 2023 - Hello, I have a question about the following OpenCV code for reading videos. I’m working on a project that involves processing frames from a video using this code. From what I understand, when the video capture input is a video file, it processes the first frame before moving to the next ...
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OpenCV
docs.opencv.org › 4.13.0 › d8 › dfe › classcv_1_1VideoCapture.html
OpenCV: cv::VideoCapture Class Reference
In C API the black-box structure CvCapture is used instead of VideoCapture. (C++) A basic sample on using the VideoCapture interface can be found at OPENCV_SOURCE_CODE/samples/cpp/videocapture_starter.cpp
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LearnOpenCV
learnopencv.com › home › image processing › reading and writing videos using opencv
Reading and Writing Videos using OpenCV | LearnOpenCV
October 15, 2025 - Reading a video stream from a web camera is also very similar to the examples discussed above. How’s that possible? It’s all thanks to the flexibility of the video capture class in OpenCV, which has several overloaded functions for convenience that accept different input arguments.
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LearnOpenCV
learnopencv.com › home › read, write and display a video using opencv
Read, Write and Display a video using OpenCV | LearnOpenCV
July 31, 2026 - A tutorial on how to read, write and display a video using OpenCV. OpenCV-Python and OpenCV-C++ Code is provided for practice and understanding.
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Medium
medium.com › @nerdjock › opencv-course-lesson-7-video-processing-and-analysis-cde2e6c1b1ea
OpenCV Course — Lesson 7: Video Processing and Analysis | by Machine Learning in Plain English | Medium
May 13, 2023 - OpenCV’s cv2.VideoCapture() function is your camera, and you can use it to capture video from a file or a live camera feed. The cap.read() method is used to grab individual frames, which are just images that you can process as we've learned ...
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OpenCV
docs.opencv.org › 4.13.0 › dd › d43 › tutorial_py_video_display.html
OpenCV: Getting Started with Videos
To capture a video, you need to create a VideoCapture object. Its argument can be either the device index or the name of a video file. A device index is just the number to specify which camera. Normally one camera will be connected (as in my case). So I simply pass 0 (or -1).
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Reddit
reddit.com › r/cpp › c++ in video/data processing
r/cpp on Reddit: C++ in Video/Data Processing
January 11, 2025 -

I'm going for an interview with a company that does video and data(sensor) processing & analysis. I exclusively have experience in gamedev and was wondering how C++ is typically used in this field? Are there any parallels?

My research has shown me that manual memory management is the number one reason why C++ is used in this industry and I have been brushing up on RAII, move semantics, as well as basics such as references vs pointers, but before I put all my eggs in the wrong basket I wanted to ask here to see if professionals know what type of questions are most likely to come up.

Are there practical uses I can whip out to show that I understand the basics?

Thanks

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MachineLearningMastery
machinelearningmastery.com › home › blog › how to read and display videos using opencv
How to Read and Display Videos Using OpenCV - MachineLearningMastery.com
January 30, 2024 - Digital videos are close relatives ... several methods to work with videos, such as reading video data from different sources and accessing several of their properties....
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LearnOpenCV
learnopencv.com › home › opencv video processing
OpenCV video processing | LearnOpenCV
The domain of video understanding is rapidly evolving, with models capable of interpreting complex actions and interactions within video streams. Meta AI’s VJEPA-2 (Video Joint Embedding Predictive Architecture) stands out as a powerful self-supervised model, demonstrating impressive capabilities in learning nuanced visual representations for video.
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D-Lab
dlab.berkeley.edu › news › processing-videos-python-opencv
Processing Videos in Python with OpenCV | D-Lab
November 28, 2023 - Manually analyzing videos and images ... of data processing. Computer vision is a field of computer science focusing on deriving information from images and videos. Computer vision technologies are used in object recognition and tracking, medical imaging, crop monitoring, autonomous driving, and other rapidly evolving use cases. There are many tools, libraries, platforms, and programming languages for computer vision. OpenCV is one of ...