semvec/pypi-packages huggingface dataset:
image-processing-ord 0.0.2
Pacote de Processamento de Imagens
Requires Python: >=3.8

# image_processing

DescriÃ§Ã£o
Pacote de processamento de Imagens:
	- Processing
		- Find difference
		- Transfer histogram
		- Resize image
	- Utils
		- Read image
		- Save image
		- Plot image
		- Plot result
		- Plot histogram

## InstalaÃ§Ã£o

Use o gerenciador de pacotes [pip](https://pip.pypa.io/en/stable/) para instalar image_processing.

```bash
pip install image_processing
```

## UtilizaÃ§Ã£o

```python
from image_processing.processing import combination
combination.find_difference()
```

## Autor
ORD

## LicenÃ§a
[MIT](https://choosealicense.com/licenses/mit/)
fourier-aurora-client 0.1.1
Aurora Python Client - Python client for the Aurora API
Requires Python: >=3.8

# Aurora Python Client

This is the Python client for the Aurora API. It allows you to interact with the Aurora API to retrieve data and perform actions on the Aurora platform.

## Entering docker container

To enter the docker container, run the following command:

```
sudo bash docker_run.bash
```

This will start the docker container and drop you into a bash shell inside the container.

## Starting Aurora

To start Aurora, run the following command:

```
AuroraCore
```

This will start the Aurora core server.

## Using the client

Start another terminal and use `docker exec` to enter the docker container you just started. Then, run the following command under `src` directory:

```
python3 -m examples.client_usage
```
Then you can follow the instructions in the terminal to interact with the Aurora API.
pyimage-scaler 1.1.2
A Python package to resize images (JPEG, PNG, BMP, GIF)
Requires Python: >=3.7

\# pyimage\_scaler



Resize images in Python with a unique package name.



\- Supports JPEG, PNG, BMP, GIF with Pillow (recommended).

\- Falls back to PPM/PGM/GIF with Tkinter if Pillow is not installed.



\## Usage



```python

from pyimage\_scaler import resize\_image



resize\_image("input.jpg", "output.jpg", 300, 300)


```python

from pyimage_scaler import resize_image


resize_image("input.png", "output.png", 3840, 3840)


---



\### ✅ Usage

```python

from pyimage\_scaler import resize\_image



resize\_image("my\_photo.png", "my\_photo\_resized.png", 400, 400)