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{
"name" : "darknet" ,
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"version-date" : "2021-04-16" ,
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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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"homepage" : "https://github.com/alexeyab/darknet" ,
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"dependencies" : [
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"pthreads" ,
"stb"
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] ,
"features" : {
"cuda" : {
"description" : "Build darknet with support for CUDA" ,
"dependencies" : [
"cuda"
]
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} ,
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"cudnn" : {
"description" : "Build darknet with support for cuDNN" ,
"dependencies" : [
"cuda" ,
"cudnn"
]
} ,
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"full" : {
"description" : "Build darknet fully featured" ,
"dependencies" : [
{
"name" : "darknet" ,
"features" : [
"cuda" ,
"cudnn" ,
"opencv-cuda"
]
}
]
} ,
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"opencv-base" : {
"description" : "Build darknet with support for latest version of OpenCV" ,
"dependencies" : [
{
"name" : "opencv" ,
"features" : [
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"contrib" ,
"dnn" ,
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"ffmpeg"
]
}
]
} ,
"opencv-cuda" : {
"description" : "Build darknet with support for latest version of CUDA-enabled OpenCV" ,
"dependencies" : [
{
"name" : "opencv" ,
"features" : [
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"contrib" ,
"cuda" ,
"dnn" ,
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"ffmpeg"
]
}
]
} ,
"opencv2-base" : {
"description" : "Build darknet with support for OpenCV2" ,
"dependencies" : [
{
"name" : "opencv2" ,
"features" : [
"ffmpeg"
]
}
]
} ,
"opencv2-cuda" : {
"description" : "Build darknet with support for CUDA-enabled OpenCV2" ,
"dependencies" : [
{
"name" : "opencv2" ,
"features" : [
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"cuda" ,
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"ffmpeg"
]
}
]
} ,
"opencv3-base" : {
"description" : "Build darknet with support for OpenCV3" ,
"dependencies" : [
{
"name" : "opencv3" ,
"features" : [
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"contrib" ,
"dnn" ,
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"ffmpeg"
]
}
]
} ,
"opencv3-cuda" : {
"description" : "Build darknet with support for CUDA-enabled OpenCV3" ,
"dependencies" : [
{
"name" : "opencv3" ,
"features" : [
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"contrib" ,
"cuda" ,
"dnn" ,
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"ffmpeg"
]
}
]
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}
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}
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}