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3532a7cf3c
* [cudnn] add port and enable it in darknet * [OpenCV4] fix ffmpeg feature on uwp * [darknet] enable integration with cuda/cudnn also with opencv3 * [darknet] update to latest revision
39 lines
1.2 KiB
Plaintext
39 lines
1.2 KiB
Plaintext
Source: darknet
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Version: 0.2.5.1
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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.
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Build-Depends: pthreads (windows), stb
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Feature: cuda
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Build-Depends: cuda
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Description: Build darknet with support for CUDA
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Feature: cudnn
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Build-Depends: darknet[cuda]
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Description: Build darknet with support for CUDNN
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Feature: opencv-base
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Build-Depends: opencv[ffmpeg]
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Description: Build darknet with support for OpenCV
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Feature: opencv-cuda
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Build-Depends: opencv[ffmpeg], opencv[cuda]
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Description: Build darknet with support for a CUDA-enabled OpenCV
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Feature: opencv3-base
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Build-Depends: opencv3[ffmpeg]
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Description: Build darknet with support for OpenCV3
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Feature: opencv3-cuda
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Build-Depends: opencv3[ffmpeg], opencv3[cuda]
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Description: Build darknet with support for a CUDA-enabled OpenCV3
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Feature: weights
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Description: Download pre-built weights for test
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Feature: weights-train
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Description: Download pre-built weights for training
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Feature: full
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Build-Depends: darknet[opencv-cuda], darknet[cudnn], darknet[weights], darknet[weights-train]
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Description: Build darknet fully-featured
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