fderue / slic_cuda Goto Github PK
View Code? Open in Web Editor NEWSuperpixel SLIC for GPU (CUDA)
License: MIT License
Superpixel SLIC for GPU (CUDA)
License: MIT License
Maybe it is not a good idea to set CUDA_COMPUTE_CAPABILITY manually, which may lead to some unexpected errors.
I change the code in CMake from
### CUDA CHECK
find_package(CUDA REQUIRED)
set(CUDA_COMPUTE_CAPABILITY "52")
set(CUDA_GENERATE_CODE "arch=compute_${CUDA_COMPUTE_CAPABILITY},code=sm_${CUDA_COMPUTE_CAPABILITY}" CACHE STRING "Which GPU architectures to generate code for (each arch/code pair will be passed as --generate-code option to nvcc, separate multiple pairs by ;)")
set(CUDA_NVCC_FLAGS ${CUDA_NVCC_FLAGS} -arch compute_${CUDA_COMPUTE_CAPABILITY})
to
find_package(CUDA REQUIRED)
I tested this code and works.
the opencv SLIC function returns labels running from 0 to the number of labels, which is extremely convenient for processing the superpixels after the fact. This version just seems to use arbitrary values for each label. Also it lacks a numSuperPixels() function like the opencv version has. might make a contribution at some point to fix this.
Hi, is the slic_zero
version of the algorithm available, and if not, is that due to some cuda limitations?
Thanks!
When compiling the code I received the error
CMake Error at CMakeLists.txt:39 (check_function_exists):
Unknown CMake command "check_function_exists".
I added
include(CheckFunctionExists)
below the project name and this fixed the issue.
Is there any paper related to this work ?
I use your codes in my paper and want to cite your paper.
Thanks.
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