aboutsummaryrefslogtreecommitdiff
path: root/ports/darknet/CONTROL
diff options
context:
space:
mode:
Diffstat (limited to 'ports/darknet/CONTROL')
-rw-r--r--ports/darknet/CONTROL33
1 files changed, 24 insertions, 9 deletions
diff --git a/ports/darknet/CONTROL b/ports/darknet/CONTROL
index 6979c310c..a09843902 100644
--- a/ports/darknet/CONTROL
+++ b/ports/darknet/CONTROL
@@ -1,23 +1,38 @@
Source: darknet
-Version: 0.2.5-6
+Version: 0.2.5.1
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: cudnn
+Build-Depends: darknet[cuda]
+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]
+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: opencv-cuda
-Build-Depends: darknet[opencv], darknet[cuda]
-Description: Build darknet with support for a CUDA-enabled OpenCV
+Feature: full
+Build-Depends: darknet[opencv-cuda], darknet[cudnn], darknet[weights], darknet[weights-train]
+Description: Build darknet fully-featured