Solve AttributeError: module cv2.cv2 has no attribute CV_CAP_PROP_FPS and CV_CAP_PROP_FRAME_WIDTH

Solution

The way to resolve these errors is to make appropriate changes based on the version of OpenCV you are using.

1. Check OpenCV version

First, determine which version of OpenCV you are using. You can use the following code to check the OpenCV version:

pythonCopy codeimport cv2
print(cv2.__version__)

The version number output will tell you which version of OpenCV you are using. If your version is OpenCV 3.x or earlier, you need to make the following changes.

2. Replace attribute name

For OpenCV 3.x or earlier, replace ??CV_CAP_PROP_FPS?? with ??cv2.cv.CV_CAP_PROP_FPS?? and ??CV_CAP_PROP_FRAME_WIDTH ?? is replaced with ??cv2.cv.CV_CAP_PROP_FRAME_WIDTH??. Here is a sample code:

pythonCopy codeimport cv2
#Open video file
cap = cv2.VideoCapture('input.mp4')
# Get video frame rate
fps = cap.get(cv2.cv.CV_CAP_PROP_FPS) # Replace with cv2.CV_CAP_PROP_FPS for OpenCV 4.x
# Get the width and height of the video frame
width = cap.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH) # Replace with cv2.CV_CAP_PROP_FRAME_WIDTH for OpenCV 4.x
height = cap.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT) # Replace with cv2.CV_CAP_PROP_FRAME_HEIGHT for OpenCV 4.x
# print results
print('Frame rate:', fps)
print('width:', width)
print('Height:', height)
# Close video file
cap.release()

The above code will open a video file and get the frame rate, width and height of the video. Be sure to replace ??CV_CAP_PROP_FPS?? and ??CV_CAP_PROP_FRAME_WIDTH?? with the appropriate property names.

3. Upgrade to new version

If your version of OpenCV is an older version, I recommend you upgrade to the latest version (OpenCV 4.x). The new version provides more features and improvements, and may resolve these property name errors. Upgrade to the latest version of OpenCV using the installation method appropriate for your operating system and environment. After the upgrade, you can use the following code to get the frame rate, width, and height of the video:

pythonCopy codeimport cv2
#Open video file
cap = cv2.VideoCapture('input.mp4')
# Get video frame rate
fps = cap.get(cv2.CAP_PROP_FPS)
# Get the width and height of the video frame
width = cap.get(cv2.CAP_PROP_FRAME_WIDTH)
height = cap.get(cv2.CAP_PROP_FRAME_HEIGHT)
# print results
print('Frame rate:', fps)
print('width:', width)
print('Height:', height)
# Close video file
cap.release()

Make sure you have installed OpenCV for your version and change the property names to ??CAP_PROP_FPS?? and ??CAP_PROP_FRAME_WIDTH??.

Summary

When encountering ??AttributeError: module 'cv2.cv2' has no attribute 'CV_CAP_PROP_FPS'?? and ??AttributeError: module 'cv2.cv2' has no attribute 'CV_CAP_PROP_FRAME_WIDTH'?? error, first determine the version of OpenCV you are using. If you are using OpenCV 3.x or earlier, replace the property names with ??cv2.cv.CV_CAP_PROP_FPS?? and ??cv2.cv.CV_CAP_PROP_FRAME_WIDTH??. If possible, it is recommended that you upgrade to the latest version of OpenCV and replace the property names with ??cv2.CAP_PROP_FPS?? and ??cv2.CAP_PROP_FRAME_WIDTH??. Hopefully this article will help you resolve these errors and be on your way to image and video processing with OpenCV!

Code sample: Read video frame rate and size

The following code example is a practical application scenario for video processing using OpenCV 4.x. We will open a video file, read its frame rate and dimensions, and display each frame. Please make sure you have OpenCV 4.x installed for your operating system and environment.

pythonCopy codeimport cv2
def main():
    #Open video file
    cap = cv2.VideoCapture('input.mp4')
    # Get video frame rate
    fps = cap.get(cv2.CAP_PROP_FPS)
    print("Frame rate: {:.2f}".format(fps))
    # Get video size
    width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
    height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
    print("Video width: {}, height: {}".format(width, height))
    while cap.isOpened():
        # Read a frame
        ret, frame = cap.read()
        if not ret:
            break
        # Display the current frame in the window
        cv2.imshow("Video Player", frame)
        # Press 'q' key to exit the loop
        if cv2.waitKey(1) & 0xFF == ord('q'):
            break
    # Release video files and window resources
    cap.release()
    cv2.destroyAllWindows()
if __name__ == "__main__":
    main()

This code first opens the specified video file and gets the frame rate and dimensions. It then reads the video frame by frame and displays the current frame in a window. You can stop the loop and exit the program by pressing the ‘q’ key. I hope this sample code can help you read the frame rate and size of the video in practical applications, and perform corresponding processing operations. If you are using OpenCV 3.x or earlier, please make the corresponding changes according to the property replacement method provided previously.

In the cv2 module of OpenCV, CV_CAP_PROP_FPS and CV_CAP_PROP_FRAME_WIDTH are used to obtain the frame rate and frame width attributes of the video file.

CV_CAP_PROP_FPS

CV_CAP_PROP_FPS is a video property used to obtain the frame rate of the video. The frame rate indicates the number of frames played per second in the video, usually in fps (Frames Per Second). The higher the frame rate, the smoother the video playback. After opening the video file using the cv2.VideoCapture class, you can use the cap.get(CV_CAP_PROP_FPS) method to get the frame rate of the video. The return value is a floating point type, indicating the frame rate of the video.

CV_CAP_PROP_FRAME_WIDTH

CV_CAP_PROP_FRAME_WIDTH is another video property used to get the width of the video frame. It represents the width of each frame of the image, usually in pixels. After opening the video file using the cv2.VideoCapture class, you can use the cap.get(CV_CAP_PROP_FRAME_WIDTH) method to get the width of the video frame. The return value is an integer, indicating the width of the video frame.

Explanation of sample code

pythonCopy code# Open video file
cap = cv2.VideoCapture('input.mp4')
# Get video frame rate
fps = cap.get(cv2.CAP_PROP_FPS)
print("Frame rate: {:.2f}".format(fps))
# Get video size
width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
print("Video width: {}, height: {}".format(width, height))

The above example code first opens a video file named ‘input.mp4’, and then obtains the frame rate and size of the video through the cap.get() method. Among them, cap.get(cv2.CAP_PROP_FPS) is used to obtain the frame rate, and the return value is stored in the fps variable; cap.get(cv2.CAP_PROP_FRAME_WIDTH) is used to obtain the width of the frame, and the return value is stored in the width variable. Finally, print it out through the print statement. These properties are very useful for processing video files. They can handle different video playback speeds and timelines based on the frame rate, and adjust the display size of the video screen based on the width of the frame.

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