Name | sigmoidalvision JSON |
Version |
0.1.0
JSON |
| download |
home_page | None |
Summary | SigmoidalVision is a Python package for computer vision and machine learning tasks. It is currently under development and aims to provide a set of tools and utilities for working with image and video data. |
upload_time | 2024-03-31 13:48:54 |
maintainer | None |
docs_url | None |
author | Carlos Melo |
requires_python | <4.0,>=3.10 |
license | MIT |
keywords |
computer-vision
machine-learning
sigmoidal
vision
ai
|
VCS |
|
bugtrack_url |
|
requirements |
No requirements were recorded.
|
Travis-CI |
No Travis.
|
coveralls test coverage |
No coveralls.
|
# SigmoidalVision
SigmoidalVision is a Python package for computer vision and machine learning tasks. It is currently under development and aims to provide a set of tools and utilities for working with image and video data.
## Features
- Download media assets from a catalog
- Verify the integrity of downloaded files using MD5 hash
## Installation
The package is not yet available on PyPI. To install the development version, you can clone the repository and install it using Poetry:
```bash
git clone https://github.com/carlosfab/sigmoidalvision.git
cd sigmoidalvision
poetry install
```
## Usage
Here's an example of how to download a media asset using SigmoidalVision:
```python
from sigmoidalvision.assets import download_media_asset, MediaAsset
download_media_asset(MediaAsset.AIRPORT)
# File santos_dumont_airport.mp4 downloaded successfully.
```
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