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
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.
Version | BEAR Apps Version |
---|---|
0.1.11-foss-2019b-Python-3.7.4 | 2019b |
Last modified on 5th May 2020