Practical ways to optimize CPU operating efficiency
MatAnyone requires GPU acceleration by default, but performance in CPU environments can be significantly improved by..:
- Reduced processing resolution: Add
--resolution 480Parameters reduce the amount of computation - segmentation video: Cut long videos into segments of 30 seconds or less and process them separately.
- Streamline dependency libraries: Installation only
requirements.txtDependencies on the core part of the - Enable Multi-Threading: Modification
config.yamlcenternum_workersThe parameter is the number of CPU cores - Optimize memory configuration: Use
conda clean --allReleasing the cache
It is recommended to close other applications that consume CPU resources at the same time, and for videos longer than 5 minutes it is recommended to use cloud GPU services.
This answer comes from the articleMatAnyone: Extract video to specify the target portrait of the open-source tool to generate the target portrait videoThe
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