janni
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janni [2019/07/09 11:16] twagner [Installation] |
janni [2019/07/10 09:42] twagner [Installation] |
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| JANNI can be used a command line tool but also provides an simple interface to integrate into other programs (see [[janni_tutorial# | JANNI can be used a command line tool but also provides an simple interface to integrate into other programs (see [[janni_tutorial# | ||
| + | < | ||
| * **License**: | * **License**: | ||
| * **GitHub repository**: | * **GitHub repository**: | ||
| + | </ | ||
| This is an example where we applied JANNI: | This is an example where we applied JANNI: | ||
| Line 33: | Line 33: | ||
| ==== Installation ==== | ==== Installation ==== | ||
| - | The following instructions assume that pip and anaconda or miniconda are available. In case you have crYOLO installed, you can also install it into the crYOLO environment. In this case you can skip step 1-3. | + | The following instructions assume that pip and anaconda or miniconda are available. |
| 1. In case you have a old JANNI environment installed, you might want to remove the old one with: | 1. In case you have a old JANNI environment installed, you might want to remove the old one with: | ||
| Line 50: | Line 50: | ||
| </ | </ | ||
| - | 4. Install JANNI form PyPi: | + | Now can install JANNI either for GPUs or for CPUs: |
| + | |||
| + | **For GPU:** | ||
| + | 4a. Install JANNI form PyPi for a GPU machine: | ||
| < | < | ||
| pip install janni[gpu] | pip install janni[gpu] | ||
| + | </ | ||
| + | |||
| + | **For CPU:** | ||
| + | 4b. Install JANNI form PyPi for a CPU machine: | ||
| + | < | ||
| + | pip install janni[cpu] | ||
| </ | </ | ||
| ==== Getting started ==== | ==== Getting started ==== | ||
| [[janni_tutorial|Here you can find a tutorial how to denoise your microgragh with JANNI]] | [[janni_tutorial|Here you can find a tutorial how to denoise your microgragh with JANNI]] | ||
janni.txt · Last modified: 2022/07/25 11:19 by twagner
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