I’ve been using the following configuration:
Initially, I did not have OpenCV built properly so it could not use the GPU and it ran on the CPU instead. This was running on an AWS instance with an Nvidia V100 attached.
Now I’ve tried to test my Python script again in another environment in a container. This environment does not have access to any GPU.
It now has the following error:
cv2.error: OpenCV(4.5.1) /opencv_compile/opencv-4.5.1/modules/dnn/src/cuda4dnn/csl/memory.hpp:54: error: (-217:Gpu API call) no CUDA-capable device is detected in function ‘ManagedPtr’
So, I’ve had to force it to use the following:
Please can anyone help me to understand why it worked previously and switched to using CPU but now does not?