Comments (2)
griwodz
commented on September 17, 2024
1
I would be ok with Xenial.
The loss of older CUDA SDKs is not very important if we don't cut off older hardware in the process. The newer SDKs are still all supporting CUDA Compute Capability 3.5 cards, which is the minimum for PopSift. It is relatively easy to install a new SDK and a new driver.
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simogasp
commented on September 17, 2024
closed by #78
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Related Issues (20)
- Could not get current device ID initialization error HOT 5
- [bug] Runtime HOT 6
- How to retrieve matches [question] HOT 3
- [question]how to get the xpos and ypos on the input image？ HOT 2
- [question]how can I set config to extract the same features for same images? HOT 2
- [bug] s_filtergrid.cu does not compile missing thrust/host_vector.h header HOT 2
- [bug]cannot use thread_local specifier for a __constant__ variable ConsoleApplication1 E:\Desktop\VS-Test\09\ConsoleApplication1\popsift\gauss_filter.cu 21 HOT 2
- [request] using exception for error handling HOT 2
- Memory leak when running enqueue, job->get() in while loop HOT 9
- Doesn't build with cuda 12 HOT 1
- job->get() takes a long time(~200ms with default settings on a small image HOT 1
- [request] Support CUDA SDK 12.X HOT 1
- [ci] move ci to github actions HOT 1
- [request] Bringing PopSift implementation into OpenCV
- How to use popsift as API? HOT 3
- Cannot Reproduce OpenCV Descriptors
- [bug] PopSift build failure for CUDA >= 12.0 HOT 1
- [ci] Continuous integration for both Linux and Windows must be updated
- runtime error: cudaMemcpyToSymbol failed for Gauss kernel initialization HOT 7
- [bug] Cannot built in vcpkg - MSVS2022 + Cuda 12.6 HOT 4
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