semvec/pypi-packages huggingface dataset:
py-image-feature-extractor 0.1.1
This package provides implementations of different methods to perform image feature extraction

This package provides implementations of different methods to perform image feature extraction. These methods are
though a Python package and a command line interface. Available feature extraction methods are:

- Convolutional Neural Networks
  
  - VGG-19
  - ResNet-50
  - DenseNet-50
  - Custom CNN through .h5 file

- Linear Binary Patterns Histograms (LBPH)

- Bag of Features (bag-of-visual-words)

  - SIFT
  - SURF
  - KAZE
cep-scraper 0.0.5
Consult transactions in CEP.

[![Coverage Status](https://coveralls.io/repos/github/cuenca-mx/cep-scraper/badge.svg?t=6NYZDQ)](https://coveralls.io/github/cuenca-mx/cep-scraper?branch=master)

# cep-scraper

CEP scraper library for consulting transactions in CEP ([COMPROBANTE ELECTRÓNICO DE PAGO](http://www.banxico.org.mx/cep/))

## Requirements
Python 3.7+

## Installation
```bash
pip install cep_scraper
```

## Tests
```bash
make test
```

## Basic usage
Consult a transaction
```python
from cep_scraper import get_transaction

transaction = dict(
        fecha_proceso='31-03-2019',
        clave_rastreo='CUENCA1554068382',
        institucion_ordenante='90646',
        institucion_beneficiaria='40012',
        cuenta_beneficiario='4152313324202675',
    )
get_transaction(transaction)
```

## Release to PyPi

```bash
pip install -U setuptools wheel twine
make release
# PyPi will prompt you to log in
```