OFA_YOLO is a neural network used to detect objects. The input is a
640x640 picture with one or more objects and the output is a vector of the result struct
which is composed of the detected information. The following image shows the result of
OFA_YOLO detection.
Figure 1. OFA_YOLO Detection Example
The following table lists the OFA_YOLO detection models supported by the Vitis AI Library.
| No | Model Name | Framework |
|---|---|---|
| 1 | ofa_yolo_pt | PyTorch |
| 2 | ofa_yolo_pruned_0_30_pt | |
| 3 | ofa_yolo_pruned_0_50_pt |