I use Google Cloud Compute Engine machine: 2x CPU, 13Gb memory, 1x NVIDIA Tesla K80 12Gb, on Linux.
A video 1024x576, 18 seconds @ 30 fps with up to 40 people takes AlphaPose about 73 mins in total to process (generate alpha-pose-results.json):
./run.sh --video input/8.mp4 --outdir output/8_mp4
It loads CPU up to 80% and GPU up to 89% (though sometimes it's down to 24-50%)
That is, 18 seconds video takes 73 mins (4380 secs) with AlphaPose. Real-time?
There's another library for human body detection, OpenPose, and it is mentioned here in AlphaPose readme as a slower solution.
OpenPose does the same task with about 1sec-1sec speed with similar pose finding quality, 18sec video takes around 24sec. Real-time.
18s - 4380s (AP)
18s - 24s (OP)
Can you comment on this?
Why is there such a drastic difference? Is there an issue with my configuration\run parameters, else?
AlphaPose is called "real-time system".
I use Google Cloud Compute Engine machine: 2x CPU, 13Gb memory, 1x NVIDIA Tesla K80 12Gb, on Linux. A video 1024x576, 18 seconds @ 30 fps with up to 40 people takes AlphaPose about 73 mins in total to process (generate alpha-pose-results.json): ./run.sh --video input/8.mp4 --outdir output/8_mp4
21:47:29
23:00:26
It loads CPU up to 80% and GPU up to 89% (though sometimes it's down to 24-50%) That is, 18 seconds video takes 73 mins (4380 secs) with AlphaPose. Real-time?
There's another library for human body detection, OpenPose, and it is mentioned here in AlphaPose readme as a slower solution. OpenPose does the same task with about 1sec-1sec speed with similar pose finding quality, 18sec video takes around 24sec. Real-time.
18s - 4380s (AP) 18s - 24s (OP)
Can you comment on this? Why is there such a drastic difference? Is there an issue with my configuration\run parameters, else?