BEAR Applications

n2v 0.1.11-fosscuda-2019b-Python-3.7.4

Noise2Void - Learning Denoising from Single Noisy Images.

Accessing n2v 0.1.11-fosscuda-2019b-Python-3.7.4

To load the module for n2v 0.1.11-fosscuda-2019b-Python-3.7.4 please use this command on the BEAR systems (BlueBEAR, BEAR Cloud VMs, and CaStLeS VMs):

module load n2v/0.1.11-fosscuda-2019b-Python-3.7.4

There is a CPU version of this module: n2v 0.1.11-foss-2019b-Python-3.7.4

BEAR Apps Version

2020h

Extensions

• csbdeep 0.4.1
• Keras 2.2.5
• n2v 0.1.11

More Information

For more information visit the n2v website.

Dependencies

This version of n2v has a direct dependency on: fosscuda/2019b matplotlib/3.1.1-fosscuda-2019b-Python-3.7.4 Pillow/6.2.1-GCCcore-8.3.0 Python/3.7.4-GCCcore-8.3.0 PyYAML/5.1.2-GCCcore-8.3.0 TensorFlow/1.15.0-fosscuda-2019b-Python-3.7.4 tifffile/2019.7.26.2-fosscuda-2019b-Python-3.7.4 tqdm/4.41.1-GCCcore-8.3.0

Other Versions

These versions of n2v 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.

Last modified on 5th May 2020