Key solutions for smooth operation of low-power devices
For 2D avatar animation at 30fps in low-power environments such as mobile devices or older computers, LiteAvatar offers a complete solution:
- Choosing a CPU optimization solution: LiteAvatar uses the CPU version of PyTorch by default and runs without a GPU. Make sure to use the
pip install torch --cpuonlyInstall the CPU-only version - Model Lightweight Processing: Using the project's pre-built lightweight models, for mobile deployments, the
export.pyScripts converted to ONNX format to run in mobile inference frameworks such as NCNN - Adjustment of operating parameters: Reduce the computational complexity appropriately when the frame rate is insufficient:
- Modify the config.json in the
frame_rateparameters - Reducing the Feature Dimension of Mouth Prediction Algorithms
- Turn off non-essential emoji detail generation
- Modify the config.json in the
- Audio pre-processing optimization: The use of 16kHz mono audio significantly reduces the computational burden on the ASR module, and is recommended to be pre-processed with a tool such as Audacity first.
Note: On ARM-architecture mobile devices, it is recommended to use a compiled and optimized version of the Android NDK for best performance.
This answer comes from the articleLiteAvatar: Audio-driven 2D portraits of real-time interactive digital people running at 30fps on the CPUThe
May not be reproduced without permission:AI productivity tools " How to realize 30fps 2D avatar animation on low-power devices?
