I trained my own dataset for yolov2 in darknet. I am using ubuntu 18.04 and has no GPU. When I play a video(which i have taken in my smart phone) for testing, it is too slow. Is it because i don't have a GPU? Or is it because of some other reasons?
Can someone reply me.
Without a gpu, yolov2 is going to be very slow and if you have a modern smart phone it's likely that video is high resolution with a high frame rate. I'm not sure of your implementation but it's likely you're processing every frame in the video instead of skipping every other frame or only processing every 10th frame.
If you don't have a gpu available (and aren't going to) another way to get gpu type performance is using Intel's Openvino if you have a recent I-series processor. You'd be able to convert your yolov2 model to open vino and run it on a cpu with really fast inference times (likely <100ms per frame). I will say I ran yolov3 off of Openvino though and it was really slow compared to other object detectors and especially compared to a mobilenet.
I also have some demo's set up to test between yolov3 on a cpu and open vino on a cpu, you can check those out on SugarKubes