The following pages link to X-LINUX-AI Starter package:
Displayed 21 items.
- How to compile model and run inference on Coral Edge TPU (← links)
- How to run Coral Edge TPU inference using Python TensorFlow Lite API (← links)
- TFLite Cpp face recognition (← links)
- How to measure performance of your NN models using the Coral Edge TPU (← links)
- How to measure performance of your NN models using TensorFlow Lite runtime (← links)
- How to build an example using libcoral API (← links)
- How to reproduce an example using PyCoral API (← links)
- How to measure the performance of your models using ONNX Runtime (← links)
- X-LINUX-AI OpenSTLinux Expansion Package (← links)
- How to measure performance of your NN models using TVM runtime (← links)
- TVM Python image classification (← links)
- TVM Cpp image classification (← links)
- How to measure the performance of NBG-based models (← links)
- How to benchmark your NN model on STM32MPU (← links)
- Image classification (← links)
- Object detection (← links)
- Pose estimation (← links)
- Semantic segmentation (← links)
- How to run inference using the STAI MPU Cpp API (← links)
- How to run inference using the STAI MPU Python API (← links)
- Category:X-LINUX-AI expansion package (← links)