The Vitis™ AI Library contains the following neural network libraries based on the Caffe framework:
The Vitis™ AI contains the following neural network libraries based on the TensorFlow framework:
The Vitis™ AI supports the following type of neural network libraries based on the PyTorch framework.
- ReID Detection
- Face Recognition
- Semantic Segmentation
- Medical Segmentation
- 3D Segmentation
- Pointpillars_nuscenes: Surround-view
- Centerpoint: 4D radar based 3D detection
- PointPainting: Image-lidar sensor fusion
- Depth Estimation
- Bayesian Crowd Counting
- Multi-task V3
The related libraries are open source and can be modified as needed. The open source codes are available on GitHub.
The Vitis™ AI Library provides image test samples and video test samples for all the above networks. In addition, the kit provides the corresponding performance test program. For video based testing, we recommend to use raw video for evaluation. Decoding by software libraries on Arm® processors may have inconsistent decoding time, which may affect the accuracy of evaluation.