semvec/pypi-packages huggingface dataset:
Textin2image 0.0.7
Hide text into image
Keywords: python,steganography,text image,text coder

# Text into image

Under construction!  Currently experimenting and planning!

Developed by Hayk Sardaryan (c) 2021

## Examples of How To Use (Buggy Alpha Version)


```python
from Textin2image import Text2Image

T = Text2Image()
```
create image and text file ex. "img.jpg" and "abc.txt" 
```python
T.code('abc.txt', 'img.jpg')
```

You will receive: s_img.png file, it's a coded image

For decode you can use
```python
T.decode('s_im.png',secret_filename='secret.txt', max_char=2500)
```
You will receive: secret.txt file, it's a secret text
mriutils 1.2.18
A simple common utils and models package
Keywords: MRI-Analysis

A simple common utils and models package for MRI analysis.

## Functions implemented in MRIUtils

- Train: `from mriutils.train import Train`
- Test: `from mriutils.test import Test`

### Examples

- CUBE-UNet3D for LVMVM dataset: `from mriutils.examples.test_ear3d_lvmvm import Test`

### Datasets

- ACDC: `from mriutils.datasets.acdc import LoadACDC`
- BraTS: `from mriutils.datasets.brats import LoadBraTS`
- MRBrainS: `from mriutils.datasets.mrbrains import LoadMRBrainS`
- H5 files: `from mriutils.datasets.lvmvm import LoadH5`
- MMWHS: `from mriutils.datasets.mmwhs import LoadMMWHS`
- Other `*.png` datasets: `from mriutils.datasets.pngs import LoadPNGS`

### Utils

- Save files:
	- `*.npy`: `from mriutils.utils.tonpy import SaveDataset`
	- `*.nii`/`*.nii.gz`: `from mriutils.utils.tonii import SaveNiiFile`
- Load and save single `*.npy`: `from mriutils.utils.data import Data`
- Load `*.npy` datasets: `from mriutils.utils.load_data import LoadData`
- Normalization: `from mriutils.utils.norm import Normalization`
- Resize: `from mriutils.utils.resize import Resize`
- Show single-layer single-channel images: `from mriutils.utils.show import Show`
- Plot lines: `from mriutils.utils.plots import Plots`
- Timer: `from mriutils.utils.timer import Timer`

### Models

- 2D-UNet: `from mriutils.models.unet import UNet`
- 3D-UNet: `from mriutils.models.unet3d import UNet3D`
- CUBE-UNet3D: `from mriutils.models.cube_unet3d import CUBE_UNet3D`
- Losses: `from mriutils.models.modules.losses import Loss`
- Metrics: `from mriutils.models.modules.metrics import Metric`

### Metrics

- Metrics for MRI Segmentation: `from mriutils.metrics.segmentation import Segmentation`
- Metrics for MRI Synthesis: `from mriutils.metrics.synthesis import Synthesis`