IKT450 group.ai repository
Microsoft Windows 10 Pro or Education
PyCharm version 2020.x or newer.
Pip version 20.x or newer.
Pipenv version 2020.x or newer.
Download and install Visual Studio 2015, 2017 and 2019 (x64: vc_redist.x64.exe).
Download and install Python 3.7.9 64-bit (Windows x86-64 executable installer).
Try to match the images below. If "py launcher" options are grayed out, ignore them.
Check "Add Python 3.7 to PATH". Click "Custom Installation".
Check "Install for all users".
Make sure python, pip and pipenv are added to System Properties -> Advanced -> Environment Varaibles -> System variables -> Path:
C:\Program Files\Python37\
C:\Program Files\Python37\Scripts\
C:\Users\BromTeque\AppData\Roaming\Python\Python37\Scripts
Clone the repository:
git clone git@github.com:aleksl17/IKT450.git
Open PyCharm, and create a new project with the following attributes.
Change "C:\BromTeque\IKT450" to your own username.
Click "Create from Existing Sources" if you get the following pop-up.
Open "Terminal" in PyCharm and write:
pipenv install
This might take a while. Be patient.
Download and install CUDA 10.1 (Feb 2019).
Download Nvidia CuDNN SDK 7.6 (November 5th, 2019), for CUDA 10.1 (Nvidia Developer Account Required).
Exctract the unzipped CuDNN files to their repsective locations:
CuDNN7.zip -> cuda\bin\cudnn64_7.dll to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\bin\
CuDNN7.zip -> cuda\include\cudnn.h to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\include\
CuDNN7.zip -> cuda\lib\x64\cudnn.lib to C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v10.1\lib\x64\\
Important that these are correct. Please dobble check them.
(OPTIONAL - Not needed) Install TensorRT 6.0.1