Summary
Use the Post-Training Optimization Tool (POT) to accelerate the inference of deep learning models.
Description
Resolution
The Post-Training Optimization Tool (POT) is designed to accelerate the inference of deep learning models by applying special methods without model retraining or fine-tuning.
- Apply post-training algorithms from the POT.
- Refer to Use Post-Training Optimization Tool Command-Line Interface.
Additional information
Refer to Training on non-square images and Rectangular Inference for how to implement non-square trained images on YOLO model.