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new xplicit file
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dkazanc committed Jun 20, 2022
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12 changes: 6 additions & 6 deletions Readme.md
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* See [INSTALLATION](https://github.com/dkazanc/TomoRec/blob/master/INSTALLATION) for detailed information

### Python conda:
Install ToMoBAR and basic dependencies into a new environment using the provided [file](https://github.com/dkazanc/ToMoBAR/blob/master/conda-recipe/tomobar_env.txt):
Install ToMoBAR and its basic dependencies into a new environment using the provided [file](https://github.com/dkazanc/ToMoBAR/blob/master/conda-recipe/tomobar_env_20_06_22.txt):
```
conda create --name tomobar --file conda-recipe/tomobar_env.txt
conda create --name tomobar --file conda-recipe/tomobar_env_20_06_22.txt
```

Install the ToMoBAR package from one of conda channels bellow:
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### MultiGPU capability
ToMoBAR can be used by running in parallel across multiple GPU devices on a PC or a compute node of a cluster. In order to initiate a parallel run on multiple GPUs you will need an MPI library, such as, [mpi4py](https://mpi4py.readthedocs.io/en/stable/). See this [demo](https://github.com/dkazanc/ToMoBAR/blob/master/Demos/Python/MultiGPU_demo.py).

### Matlab (is not currently supported)
### Matlab (is not currently actively supported)
Use available m-functions, see [Demos](https://github.com/dkazanc/ToMoBAR/tree/master/Demos/Matlab).

### How to use ToMoBAR in Python:
Detailed information about methods and parameters can be obtained with:
## How to use ToMoBAR in Python:
Detailed information about the methods and its parameters can be obtained with:
```
from tomobar.methodsIR import RecToolsIR
help(RecToolsIR)
from tomobar.methodsDIR import RecToolsDIR
help(RecToolsIR)
```

A typical setup for iterative reconstruction would include three dictionaries: `_data_`, `_algorithm_` and `_regularisation_`
A typical setup for iterative reconstruction would include building three dictionaries: `_data_`, `_algorithm_` and `_regularisation_`
<div align="left">
<img src="docs/images/tomobar_pres.png" width="620">
</div>
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