DeepLabCut 2.3.6-foss-2022a-CUDA-11.7.0

Unsupported: Use of this version of DeepLabCut is not supported. More information on our Applications Support and Retention Policy.

Markerless tracking of user-defined features with deep learning

Accessing DeepLabCut 2.3.6-foss-2022a-CUDA-11.7.0

To load the module for DeepLabCut 2.3.6-foss-2022a-CUDA-11.7.0 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load bear-apps-unsupported/handbuilt/2019
module load DeepLabCut/2.3.6-foss-2022a-CUDA-11.7.0

There is a CPU version of this module: DeepLabCut 2.3.6-foss-2022a

BEAR Apps Version



  • DeepLabCut 2.3.6
  • dlclibrary 0.0.4
  • filterpy 1.4.5
  • huggingface-hub-0.17.3
  • imageio-ffmpeg-0.4.9
  • msgpack-numpy-0.4.8
  • tensorpack 0.11
  • tf_slim 1.1.0

More Information

For more information visit the DeepLabCut website.


This version of DeepLabCut has a direct dependency on: CUDA/11.7.0 FFmpeg/4.4.2-GCCcore-11.3.0 foss/2022a imageio/2.22.2-foss-2022a imgaug/0.4.0-foss-2022a-CUDA-11.7.0 matplotlib/3.5.2-foss-2022a numba/0.56.4-foss-2022a PyTables/3.8.0-foss-2022a Python/3.10.4-GCCcore-11.3.0 PyTorch/1.12.1-foss-2022a-CUDA-11.7.0 PyZMQ/24.0.1-GCCcore-11.3.0 ruamel.yaml/0.17.21-GCCcore-11.3.0 scikit-image/0.19.3-foss-2022a scikit-learn/1.1.2-foss-2022a statsmodels/0.13.1-foss-2022a TensorFlow/2.11.0-foss-2022a-CUDA-11.7.0 tqdm/4.64.0-GCCcore-11.3.0

Other Versions

These versions of DeepLabCut are available on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs). These will be retained in accordance with our Applications Support and Retention Policy.

Version BEAR Apps Version
2.3.6-foss-2022a 2022a

Last modified on 6th December 2023