fps really low about yolo3-4-py HOT 6 CLOSED

Hi, i would assume that one will need to use nvidia-docker to fully leverage GPU in docker environment.
I did manage to install and use successfully yolo34py-gpu on a nvidia/cuda/cudnn local environment.

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hi could you please give me more details about fps in your local environment. And did you install using pip or build from source?

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@maylad31 For the GPU version to work in a stand-alone machine, you will need CUDA SDK installed. Also, you will need a Nvidia Cuda enabled GPU. If you are running on docker, nvidia-docker would be required.

Do you have a Cuda enabled GPU?
Are you running in Docker?
Do you have CUDA installed?

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thanks sorry for the late reply you may close this issue yes i solved the problem i had cuda installed and path and everything was set but still it wasn't working so i updated my nvidia driver reinstalled cuda and it worked thanks i would like to ask why the darknet fps is more than python wrapper i understand it would be slow in python but with darknet i get 18 fps and with python wrapper it drops to around 11-12 fps

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Hi @maylad31,
There is a drop in fps caused by conversion of python images (numpy arrays) to darknet images. The drop depends on the resolution of images.

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