The maximum number of streams and number of faces depends on
The power of your CPU and whether it supports the AVX2 instruction set.
The power of your NVidia GPU, typically measured by the number of CUDA Cores.
The resolution of the video streams you wish to analyse.
As a quick guide though, take the following hardware
Intel E3-1515M v5 @ 2.80 GHz. This has a CPU Benchmark of 10093.
GeForce GTX 1050 Ti. This has 768 CUDA Cores and 4Gb VRAM.
8 GByte Ram.
256 SSD Hard Disk.
Running Linux Identifier.
This hardware is powerful to support the analysis of
Two Full HD Streams (1900x1080). This will analyse video at the required rate of 8 frames-per-second.
Up-to 10 faces per stream (i.e. 20 in total across both streams). When a full 20 faces are in the video scene we would expect to utilise about 90% of CPU power and 70% of GPU power.
Note,
Identifier will still work on more faces-per-stream, however the frame-rate of the video processed will drop.
To analyse multiple streams, you a licence that supports it. The demo licence provided with Identifier will analyse upto 2 concurrent streams.
These figures releate to using FaceDetector2 as the main face-detector engine. In Identifier 1.1 this is the default face-detector.