In my case, I got the LINK Error because in the “additional library directories” section I did not have $(OPENCV_DIR)\圆4\ vc16\lib In the makefile placed in the darknet folder, based on your CPU / GPU version of system make the required changes. Clone the darknet repository using git bash in the directory you want the darknet to be. Now that we have all the dependencies installed we start building the process for DArknet compilation.ĥ. For a CPU version either will work, but I suggest going forward with 2019. install Visual Studio 2017 or 2019 based on the version of CUDA installation for a GPU system.For a GPU system install CUDA ≥ 10.0 and corresponding cuDNN.Install Git for windows : follow instructions here.This Blog is for fellow enthusiasts who don’t want to waste their Time researching any further as to how to get the Darknet Framework up and running on Windows.įollow these instructions in the suggested order only, I have faced multiple challenges, wasted a lot of time on google and realized it wasn’t that difficult afterall. With Linux compiling darknet is pretty much straight forward, editing the makefile and $ make in terminal. All of us working in the domain of computer vision, at some time might have faced the challenge of compiling darknet in Windows.
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