diff options
Diffstat (limited to 'ports/darknet/CONTROL')
| -rw-r--r-- | ports/darknet/CONTROL | 36 |
1 files changed, 27 insertions, 9 deletions
diff --git a/ports/darknet/CONTROL b/ports/darknet/CONTROL index 88b4cdb7b..3665fa069 100644 --- a/ports/darknet/CONTROL +++ b/ports/darknet/CONTROL @@ -1,20 +1,38 @@ Source: darknet -Version: 0.2.5-1 +Version: 0.2.5.1-1 Description: Darknet is an open source neural network framework written in C and CUDA. You only look once (YOLO) is a state-of-the-art, real-time object detection system, best example of darknet functionalities. Build-Depends: pthreads (windows), stb -Default-Features: weights - -Feature: opencv -Build-Depends: opencv[ffmpeg] -Description: Build darknet with support for OpenCV Feature: cuda Build-Depends: cuda Description: Build darknet with support for CUDA -Feature: weights -Description: Download common weights from official websites, using vcpkg proxy-enabled functions +Feature: cudnn +Build-Depends: darknet[cuda], cudnn +Description: Build darknet with support for CUDNN + +Feature: opencv-base +Build-Depends: opencv[ffmpeg] +Description: Build darknet with support for OpenCV Feature: opencv-cuda -Build-Depends: opencv[ffmpeg],opencv[cuda] +Build-Depends: opencv[ffmpeg], opencv[cuda] Description: Build darknet with support for a CUDA-enabled OpenCV + +Feature: opencv3-base +Build-Depends: opencv3[ffmpeg] +Description: Build darknet with support for OpenCV3 + +Feature: opencv3-cuda +Build-Depends: opencv3[ffmpeg], opencv3[cuda] +Description: Build darknet with support for a CUDA-enabled OpenCV3 + +Feature: weights +Description: Download pre-built weights for test + +Feature: weights-train +Description: Download pre-built weights for training + +Feature: full +Build-Depends: darknet[opencv-cuda], darknet[cudnn], darknet[weights], darknet[weights-train] +Description: Build darknet fully-featured |