Video description generation instructions
Below are the detailed steps for generating high-quality video descriptions using Tarsier:
preliminary
- Ensure that the Tarsier model and environment have been installed correctly
- Prepare the video file (supports MP4, GIF and many other formats)
- Understanding basic command line usage
Implementation steps
- Preparing the video file: Ensure that video files are accessible and paths do not contain special characters
- Run command::
python3 -m tasks.inference_quick_start --model_name_or_path path/to/Tarsier2-7b --instruction "Describe the video in detail." --input_path your/video.mp4 - View Results: the description will be displayed on the terminal, containing details of the actions, scenes, etc. in the video
Optimization Recommendations
- For excessively long videos, adjust the
configs/tarser2_default_config.yamlThe frame rate parameter in - First time users are advised to test with a short video first (5-10 seconds)
- The level of detail of the description can be adjusted by modifying the instruction.
- Reduces the number of frames processed simultaneously when memory is low
This answer comes from the articleTarsier: an open source video comprehension model for generating high-quality video descriptionsThe
May not be reproduced without permission:AI productivity tools " What are the exact steps for video description generation using the Tarsier model?
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