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Package Details: darknet-hankai-git 4.0-1
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Git Clone URL: | https://aur.archlinux.org/darknet-hankai-git.git (read-only, click to copy) |
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Package Base: | darknet-hankai-git |
Description: | Darknet: neural network framework for object detection |
Upstream URL: | https://github.com/hank-ai/darknet |
Licenses: | Apache-2.0 |
Submitter: | Seed |
Maintainer: | Seed |
Last Packager: | Seed |
Votes: | 1 |
Popularity: | 0.47 |
First Submitted: | 2025-02-26 06:47 (UTC) |
Last Updated: | 2025-03-18 21:07 (UTC) |
Dependencies (8)
- opencv (opencv-cuda)
- cmake (cmake-gitAUR, cmake3AUR) (make)
- git (git-gitAUR, git-glAUR) (make)
- cuda (cuda11.1AUR, cuda-12.2AUR, cuda12.0AUR, cuda11.4AUR, cuda11.4-versionedAUR, cuda12.0-versionedAUR) (optional)
- cudnn (optional)
- rocm-hip-runtime (opencl-amdAUR) (optional)
- rocm-hip-sdk (opencl-amd-devAUR) (optional)
- rocm-opencl-runtime (opencl-amdAUR) (optional)
Latest Comments
trougnouf commented on 2025-03-24 16:06 (UTC)
For AMD, I was able to get the compilation to detect HIP and go much farther with
-DCMAKE_HIP_COMPILER=/opt/rocm/lib/llvm/bin/clang-18 -DCMAKE_HIP_COMPILER_ROCM_ROOT=/opt/rocm
, and installingamdsmi
which should be added to the optional dependencies.Unfortunately the built stopped due to an incompatible target (?)
trougnouf commented on 2025-03-21 12:44 (UTC) (edited on 2025-03-24 16:21 (UTC) by trougnouf)
No luck there. Tried on two computers (NVidia / AMD),
For NVidia it seems only nvcc matters (works with
-DCMAKE_CUDA_COMPILER=/opt/cuda/bin/nvcc
).Seed commented on 2025-03-18 21:08 (UTC)
Can you try again? I can't test NVIDIA or AMD at the moment, but that issue should be fixed and ROCM and CPU building should also work.
trougnouf commented on 2025-03-18 14:59 (UTC)
Probably the same issue with ROCm
trougnouf commented on 2025-03-18 10:23 (UTC)
CUDA is not detected, please change the cmake line to
cmake -DCMAKE_BUILD_TYPE=Release -DCMAKE_INSTALL_PREFIX=/usr -DCMAKE_CUDA_COMPILER=/opt/cuda/bin/nvcc ..