Cvitek provides TDL integration algorithms to reduce the time required for application development.
This architecture realizes the algorithm required by TDL, including its pre and post processing, and provides a unified and convenient programming interface.
At present, TDL SDK includes motion detection, face detection, face recognition, face tracking, pedestrian detection, semantic segmentation, license plate recognition, license plate detection, live recognition, IR live recognition, infant detection, cry detection, attitude detection, gesture detection, Gesture Recognition and other algorithms.
|TDL SDK Software Development Guide
|YOLO Development Guide
tar xvf host-tools.tar.gz
git clone https://github.com/milkv-duo/cvitek-tdl-sdk-cv180x.git
Duo256M and DuoS:
git clone https://github.com/milkv-duo/cvitek-tdl-sdk-sg200x.git
The generated program is in the corresponding subdirectory in the sample directory. For example, the face detection example
sample_vi_fdis located in
For detailed descriptions and running methods of each example, please refer to the following chapters.