SDK ML Samples

Metavision SDK ML includes the following samples:

Training:

• Convert Bbox from a Sequential Text to NPY
• Generate HDF5 Tensor Files
• Training of EB Classification Model
• Training of Object Detection model
• Training of Optical Flow model
• Evaluation of Detection and Tracking Result with COCO KPIs

Export:

• Export trained PyTorch classification model to TorchScript model
• Export trained PyTorch classification model to ONNX model
• Export trained PyTorch detection model to TorchScript model
• Export trained PyTorch flow model to TorchScript model

Inference:

• Inference Pipeline of Detection and Tracking using Python
• Inference Pipeline of Detection and Tracking using C++
• Inference Pipeline of Detection using C++
• Inference Pipeline of Optical Flow using Python
• Inference Pipeline of Optical Flow using C++
• Inference Pipeline of Gesture Classification in Python
• Inference Pipeline of Gesture Classification in C++

Visualization:

• Flow File Visualization
• Visualization of the Detection Results together with the Ground-truth
• Visualization of Preprocessed HDF5 Tensor Files
• Visualization of Moving MNIST Dataset