I am on Windows 10, using Python 3.9.6 and my cv2 version is 4.4.0. I built OpenCV with Cuda successfully and after calling cv2.cuda.getCudaEnabledDeviceCount(), it returns 1 as expected. The following lines also work fine.
net = cv2.dnn.readNetFromCaffe(proto_file, weights_file)
net.setPreferableBackend(cv2.dnn.DNN_BACKEND_CUDA)
net.setPreferableTarget(cv2.dnn.DNN_TARGET_CUDA)
# multiple lines
# processing frame
# and setting input blob
net.setInput(in_blob)
However, executing the following line throws an exception.
output = net.forward()
The exception:
cv2.error: OpenCV(4.4.0) G:\opencv-4.4.0\opencv-4.4.0\modules\dnn\src\dnn.cpp:2353: error: (-216:No CUDA support) OpenCV was not built to work with the selected device. Please check CUDA_ARCH_PTX or CUDA_ARCH_BIN in your build configuration. in function 'cv::dnn::dnn4_v20200609::Net::Impl::initCUDABackend'
The message says that my Cuda was not built to work with the selected device (which I'm guessing is my GPU). It seems to have encountered a conflict with CUDA_ARCH_BIN and/or CUDA_ARCH_PTX. My GPU model is NVIDIA Geforce MX130 whose CUDA_ARCH_BIN value is what I found to be 6.1 and I set it according on CMake. How can I resolve these issues? Let me know if I need to provide any more information.
CodePudding user response：
"Sources say" the MX130 has a Maxwell core, not a Pascal core. Maxwell is the predecessor of Pascal.
Hence, you only have CUDA compute capability 5.0.
You should check that with an appropriate tool such as GPU-Z that does its best to query the hardware instead of going by specs.
Sources:
- https://en.wikipedia.org/wiki/GeForce_10_series#GeForce_10_(10xx)_series_for_notebooks (notice how the Fab (nm) is different and the code name is GM108, not GPxxx)
- https://www.techpowerup.com/gpu-specs/geforce-mx130.c3043