## <span class="fa fa-question-circle"></span>&nbsp; Frequently Asked Questions

#### How can I fix `ImportError: No module named cv2`?

You need to install OpenCV for PySceneDetect to properly work.  If you're using `pip`, you can install it as follows:

```md
pip install scenedetect[opencv]
```

Note that you may need to use a different/older version depending on your Python version.  You can also use the headless package if you're running a server:


```md
pip install scenedetect[opencv-headless]
```

Unlike calling `pip install opencv-python`, the above commands will download and install the correct OpenCV version based on the Python version you are running.


#### How can I enable video splitting support?

To enable video splitting support, you will also need to have `mkvmerge` or `ffmpeg` installed on your system. See the documentation on [Video Splitting Support](https://scenedetect.com/en/latest/examples/video-splitting/) after installation for details.


#### How can I fix the error `Cannot split video due to too many scenes`?

This error occurs on Windows platforms specifically when the number of detected scenes is too large.  This is because PySceneDetect internally invokes other commands, such as those used for the `split-video` command.

You can get around this issue by simply invoking those tools manually, using a smaller sub-set of scenes (or splitting the scene list into multiple parts).  You can obtain a comma-separated list of timecodes by using the `list-scenes` command.

See [Issue #164](https://github.com/Breakthrough/PySceneDetect/issues/164) for details, or if you have any further questions.

#### How can I fix the error `Failed to read any frames from video file`?

Unfortunately, the underlying library used to perform video I/O was unable to open the file. Try using a different backend by installing PyAV (`pip install av`) and see if the problem persists.

This can also happen due to videos having multiple audio tracks (as per [#179](https://github.com/Breakthrough/PySceneDetect/issues/179)).  If the PyAV backend does not succeed in processing the video, as a workaround you can remove the audio track using either `ffmpeg` or `mkvmerge`:

```md
ffmpeg -i input.mp4 -c copy -an output.mp4
```

Or:

```md
mkvmerge -o output.mkv input.mp4
```