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authorStefano Sinigardi <stesinigardi@hotmail.com>2019-03-14 22:15:28 +0100
committerVictor Romero <romerosanchezv@gmail.com>2019-03-14 14:15:28 -0700
commitcfdc331b4b8c3ffc5962d7dfdf5c6ec01510db97 (patch)
tree3a54a9d05236ef1b8ae73d50553a9c6e629d0709 /ports/darknet/CONTROL
parenta421f43ed153cf0c86c7e0e01c9790785e7353e6 (diff)
downloadvcpkg-cfdc331b4b8c3ffc5962d7dfdf5c6ec01510db97.tar.gz
vcpkg-cfdc331b4b8c3ffc5962d7dfdf5c6ec01510db97.zip
[darknet/yolo] new port (#5648)
* [darknet/yolo] add draft implementation * [darknet] use official repo * [darknet] use stb from vcpkg * [darknet] Explicit failure on ARM and UWP
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+Source: darknet
+Version: 1.0.0
+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
+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: opencv-cuda
+Build-Depends: darknet[cuda], opencv[cuda]
+Description: Build darknet with support for a CUDA-enabled OpenCV