Computer Vision
The Computer Vision module provides algorithms that can be grouped into two categories:
Signal processing algorithms used to transform the events stream (e.g. noise filters, ROI masks, transpose, rotation…)
Signal analysis algorithms used to extract information from the events stream (e.g. counting events, frequency estimation, optical flow computation…)
In addition to those algorithms, the Computer Vision module also provides utility classes and functions useful in Computer Vision (e.g. camera models, non-linear solvers, etc).
- Samples
- Data Rate Viewer using Python
- Data Rate Viewer using C++
- Sparse Optical Flow Sample using Python
- Sparse Optical Flow Sample using C++
- Dense Optical Flow Sample using Python
- Dense Optical Flow Sample using C++
- Noise Filtering using Python
- Noise Filtering using C++
- Undistortion Sample using C++
- XYT Application
- Tutorials
- C++ Headers
- SDK CV C++ API
- SDK CV Python API