--- deeplabcut: last_content_updated: '2025-06-30' last_metadata_updated: '2026-03-06' ignore: false visibility: online status: viable recommendation: move notes: As mentioned on other beginner-guides/ docs, this should be part of the GUI section. --- (file:video-analysis-gui)= # Video analysis in the GUI DLC LIVE! After training and evaluating your model, the next step is to apply it to your videos. ## Analyzing videos with your trained model ### Step-by-step 1. **Navigate to the 'Analyze Videos' Tab:** Begin applying your trained model to video data here. 1. **Select Your Video Format and Files:** - **Choose Video Format:** Pick the format of your video (`.mp4`, `.avi`, `.mkv`, or `.mov`). - **Select Videos:** Click **`Select Videos`** to find and open your video file. 1. **Start Analysis:** Click **`Analyze`**. The analysis time depends on video length and resolution. Track progress in the terminal or Anaconda prompt. ### Reviewing analysis results - **Find Results in Your Project Folder:** After analysis, go to your project's video folder. - **Analysis Files:** Look also for a `.metapickle`, an `.h5`, and possibly a `.csv` file for detailed analysis data. - **Review the "plot-poses" subfolder:** This contains visual outputs of the video analysis. ![Plot poses](https://images.squarespace-cdn.com/content/v1/57f6d51c9f74566f55ecf271/1717779600836-YOWM5T2MBY0JN1LB537B/plot-poses.png?format=500w) ## Generating labeled videos ### Create a labeled video 1. **Go to 'Create Labeled Video' Tab:** The previously analyzed video should be selected. 1. If not already selected, choose your video. 1. Click **`Create Videos`**. ### View the labeled video - Your labeled video will be in your video folder, named after the original video plus model details and 'labeled'. - Use it in your results, or perform downstream analyses with it! ## Next steps Check our more advanced guides, and consider reading more about models, augmentations and other parameters to further optimize your model and analysis!