How to install DeepLabCut 2.3 on Windows without Anaconda

How to install DeepLabCut 2.3 on Windows without Anaconda

The coolest way to create a deep learning environment

– Now 27th Oct. 2023
– Japanese is also available from the above switcher.
– This is private suggestion, so I an not responsible for any failures.

Environment

Hardware(You must use Nvidia video card for GPU)

GPU: Nvidia Geforce RTX 3060 (12GB)
OS: Windows 11 64bit
CPU: Intel Core i7, 10th
Memory: 64GB DDR4(More than 32GB)

Package Drivers

DeepLabCut == 2.3.7
Python == 3.10.11
CUDA == 11.7
cuDNN == 8.5
Geforce Experience Studio Driver == 537.58 (Latest version for your video card)
Tensorflow == 2.10.0(Not >2.11 on Windows. You should use WSL to use GPU.)

Install

Python

You can find Python == 3.10.11,
https://www.python.org/downloads/windows/
Download and install: Windows installer (64-bit) if your system is 64 bit.

– Check the box: Add Path.
– I installed for All User.

VS Code (optional)

I recomend to use VS Code for modifying the parameter of DeepLabCut.
https://code.visualstudio.com/

Download and install for Windows version.
– Install Python-extension.
– Check the python version from lower right in python file.

CUDA・cuDNN

Download and install CUDA 11.7.
– Check the PATH.

Download and unzip cuDNN 5.8.
– You can download after registration for developer program.

The folders included in cuDNN copy to “C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7”

Install Everything (optional)

You can find file or folder immediately!!

https://www.voidtools.com/

Add zlibwapi.dll

Find “zlibwapi.dll” on your PC by using a searching tool like Everything.
– If you can’t find the file, for instance, install stable diffusion or something.

Copy “zlibwapi.dll” to “C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v11.7\bin”.

Building a virtual environment for Python

Make C:\Deeplabcut\venv (empty is OK).

Run command prompt,

cd C:\Deeplabcut\venv
python -m venv DEEPLABCUT
.\DEEPLABCUT\Scripts\activate
Install DeepLabCut

In virtual environment, run command prompt,

python.exe -m pip install --upgrade pip
pip install deeplabcut[gui,tf]
Downgrade numpy (Temporary)

On numpy==1.24, the system has the following error.

AttributeError: module 'numpy' has no attribute 'int'.

So I temporary install numpy 1.23.

.\DEEPLABCUT\Scripts\activate
pip install numpy==1.23
Run DeepLabCut
python -m deeplabcut
Batch file to activate DeepLabCut from your Desktop (optional)

Make DeepLabCut.bat file from empty txt file.

Copy and paste the following text,

cd C:\Deeplabcut\venv\DEEPLABCUT
call Scripts\activate
call python -m deeplabcut
cmd /k
GPU Utility Monitoring (optional)

Make nvidia-smi.bat file from empty txt file.

Copy and paste the following text,

cd C:\Windows
call nvidia-smi -l 2
Install ffmpeg (optional)

Download and unzip ffmpeg-master-latest-win64-gpl.zip.

https://github.com/BtbN/FFmpeg-Builds/releases

Move and rename “C:\ffmpeg”.

Add PATH “C:\ffmpeg\bin”.

Troubleshooting

“MLIR V1 optimization pass is not enabled” is no problem to ignore.

The details of its use are in preparation…
Peirates turpis

Peirates turpis

Peirates turpis Walker, 1873

Peirates turpis
Peirates turpis

Gallery

Distribution and habitat

References

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Bischoffitilla ardescens

Bischoffitilla ardescens

Bischoffitilla ardescens Smith, 1873

Female

Bischoffitilla ardescens
Bischoffitilla ardescens
Bischoffitilla ardescens

Male

References

Mamoru Terayama, Hirohisa Suda, Tadao Murota, Yoshio Haneda, Tadashi Tano. (1873). The vervet ants (Mutillidae) of Japan. Gekkan-Mushi, 481, 12-15