semvec/pypi-packages huggingface dataset:
demalos 0.0.4
ALOS 30 m downloader/subsetter
License: MIT

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# demalos
Downloading and subsetting ALOS 30m DEM

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install demalos

```bash
pip install demalos
```

## Usage

see example.py

or 

```bash
from demalos import demalos

lat0 = 41
lon0 = -113
dlat = 0.1
dlon = 0.1

alos_obj = demalos(lat0,lon0,dlat,dlon,alos_folder_in='/Volumes/Amir_5TB/SAO/ALOS_DEM/in/N040W115_N045W110',
                   alos_folder_out='/Volumes/Amir_5TB/SAO/ALOS_DEM/out/')

alos_obj.subset_alos()
alos_obj.save_to_tiff("output_test3.tif")
alos_obj.save_to_nc("output_test3.nc")
```

to download alos files use

```bash
alos_obj.download_alos(dem_file = "N040W115_N045W110")
```

Warning! not specifying dem_file will make the code want to download the whole dataset

## License
[MIT](https://choosealicense.com/licenses/mit/)
tf2-keras-surgeon 0.0.1
A library for performing network surgery on trained tensorflow 2 keras models.
License: MIT
Requires Python: >=3.6

# Tf2-Keras-Surgeon
Note: This is a modification of keras-Surgeon: https://github.com/BenWhetton/keras-surgeon and 
https://github.com/Raukk/tf-keras-surgeon/ thats been adopted for specific use. If you are interested try adopting the
original keras-surgeon first, to see if it works for you.
This version specifically changes some of the issues with instalation of keras-surgeon, but also has less features,
and is in general not well tested. For additional information, please look at the repositories above.