Camera tracking seems to be very slow about yolov7_package HOT 7 CLOSED

• Which version of pytorch are you using (cpu/cuda)? [you can check it with "torch.cuda.is_available()"]
• If you are trying to perform camera tracking without gpu, you can try setting the 'tiny' parameter to use a smaller model with less accuracy but faster execution speed, e.g. det = Yolov7Detector(traced=False, weights='yolov7-tiny.pt')

from yolov7_package.

i dont know if i have cuda

from yolov7_package.

nope, no cuda

from yolov7_package.

tiny is still pretty slow i have an i5-9300H with a gtx 1650 and intel uhd 630

from yolov7_package.

Try to install pytorch with cuda enabled, it will greatly increase your performance. To do this, you need to install the СUDA toolkit and CUDNN library from the NVidia official website.Then, reinstall pytorch to achieve torch.cuda.is_available() == True

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How long does it take to perform image processing with det.detect(img) call? E.g. in Apple M1 Pro cpu it takes ~150 ms, that is not realtime. If you want to have fast processing, use CUDA support.

from yolov7_package.

Also, you can try python mpire/multiprocessing library to parallel processing task

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