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cdbfdcc363
It's not an error if some OpenCL platform has no devices. This makes
OpenCL device detection work correctly in the following scenario:
$ OPENCV_OPENCL_DEVICE=:GPU: ./opencv_test_dnn
OpenCV version: 4.1.2-dev
OpenCV VCS version: 4.1.2-80-g467748ee98-dirty
Build type: Debug
Compiler: /usr/bin/g++ (ver 7.4.0)
Parallel framework: pthreads
CPU features: SSE SSE2 SSE3 *SSE4.1 *SSE4.2 *FP16 *AVX *AVX2 *AVX512-SKX?
Intel(R) IPP version: ippIP AVX2 (l9) 2019.0.0 Gold (-) Jul 24 2018
OpenCL Platforms:
AMD Accelerated Parallel Processing
Portable Computing Language
CPU: pthread-AMD Ryzen 7 2700X Eight-Core Processor (OpenCL 1.2 pocl HSTR: pthread-x86_64-pc-linux-gnu-znver1)
NVIDIA CUDA
dGPU: GeForce GTX 1080 (OpenCL 1.2 CUDA)
Current OpenCL device:
Type = dGPU
Name = GeForce GTX 1080
Version = OpenCL 1.2 CUDA
Driver version = 430.26
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| calib3d | ||
| core | ||
| cudaarithm | ||
| cudabgsegm | ||
| cudacodec | ||
| cudafeatures2d | ||
| cudafilters | ||
| cudaimgproc | ||
| cudalegacy | ||
| cudaobjdetect | ||
| cudaoptflow | ||
| cudastereo | ||
| cudawarping | ||
| cudev | ||
| dnn | ||
| features2d | ||
| flann | ||
| highgui | ||
| imgcodecs | ||
| imgproc | ||
| java | ||
| js | ||
| ml | ||
| objdetect | ||
| photo | ||
| python | ||
| shape | ||
| stitching | ||
| superres | ||
| ts | ||
| video | ||
| videoio | ||
| videostab | ||
| viz | ||
| world | ||
| CMakeLists.txt | ||