GPU cuda programming for face detection and identification
Budget: $2 – $8 USD
The project is an AI computational vision , it need to be transferred from CPU pipe line C++ program to GPU parallel programing code , in order to be able to distribute the computational load of multicamera streams such that have min frame rate per second not less than 30 fps.
Thus we can determine the limitation of each GPU device towards number of streams within corresponding AI processing features.
Thus we can determine the limitation of each GPU device towards number of streams within corresponding AI processing features.