How can I remove text from video without blur?

Using MMEditing to remove text from a video is technically possible but not straightforward. MMEditing is an open-source toolbox that supports various video editing tasks, including video inpainting, which is the process of filling in removed areas with generated background content. However, it's not a simple "one-click" solution and requires significant technical effort.

How to Remove Text from Video If You Want to Use MMEditing

If you are comfortable with a command-line interface and Python, here are the general steps to get started with the toolbox:

1. Install the Framework: Follow the official installation guide. This involves setting up a conda environment, installing PyTorch, and installing mmcv-full and MMEditing from source.
2. Understand the Demos: Study the provided demo scripts, especially restoration_video_demo.py, which shows how to apply pre-trained models to a folder of video frames.
3. Prepare Your Data: You will likely need to convert your video into a sequence of images (frames) before processing.
4. Select an Appropriate Model: Research which pre-trained model in the MMEditing model zoo is best for inpainting or restoration on your specific type of video.

In short, using MMEditing to learn how to remove text from video means choosing a complex, research-oriented toolbox over a user-friendly application. It is a powerful open-source solution for those willing to invest the time in setup and learning, but it is far from an easy way to remove text from video. If your primary goal is simply how to remove text from video without the steep learning curve, MMEditing may not be the most practical choice.