semvec/pypi-packages huggingface dataset:
Flask-RestClient 0.1.3
restful api client for flask extension
License: MIT

Flask插件for restful api client
===============================

Usage
-----


First init::

    from flask_rest_client import RestCient
    rest_client = RestClient()
    rest_client.init_app(app)

API
---

.. code-block::

    users_api = rest_client.get_api('users')
    j = users_api.get(1).json()  # 获取/users/1的数据
    j = users_api.get()  # 获取/users/的数据


配置项
------

====================    ================================================
配置项                  说明
====================    ================================================
REST_CIENT_BASE_URL     api的url_prefix
REST_CIENT_USERNAME     BaseAuth的username
REST_CIENT_PASSWORD     BaseAuth的password
REST_CIENT_VERIFY       requests的verfy配置，可以是自定义证书的路径
====================    ================================================
vin_decoder 0.1.1
VIN decoder (Vehicle identification number)
License: MIT
Keywords: VIN,WMI,OBD

# cardb
A database of cars, their VIN numbers and other information about them.

## Example

```python
>>> result = parse_vin("JN1FAAZE0U0000001")
>>> {   'vds': {   'parsed': {   'body_type': 'Z',
                                 'engine': ['KA24E'],
                                 'misc': 'Driver and front passenger SRS air '
                                         'bags, SRS side air bags, SRS curtain '
                                         'air bag & 3 point manual seat belt',
                                 'model_change': 'A',
                                 'model_line': ['Armada, Titan, Maxima']},
                   'vds': 'FAAZE0'},
        'vis': {'assembly_plant': '0', 'vis': 'U0000001', 'year': None},
        'wmi': {   'geo_area': 'Asia',
                   'geo_detailed_area': 'Japan',
                   'manufacturer': 'Nissan',
                   'wmi': 'JN1'}}
```

## On-Line versions

Currently, vin decoder is not online. Alternatives are

* [www.vindecoderz.com](http://www.vindecoderz.com/)

## VIN documentation

Information about VIN can be found at

* [en.wikibooks.org/wiki/Category:Vehicle_Identification_Numbers_(VIN_codes)](https://en.wikibooks.org/wiki/Category:Vehicle_Identification_Numbers_(VIN_codes))
tensorvision 0.1.dev2
A library to build and train neural networks in with TensorFlow for Computer Vision
License: MIT

[![Documentation Status](https://readthedocs.org/projects/tensorvision/badge/?version=latest)](http://tensorvision.readthedocs.org/en/latest/?badge=latest)
[![license](https://img.shields.io/github/license/mashape/apistatus.svg?maxAge=2592000)](https://github.com/
TensorVision/TensorVision/blob/master/LICENSE)

TensorVision is a simple toolkit to easily apply image classification networks.


## Installation

You can install TensorVision and its requirements via:

```bash
$ pip install -r https://raw.githubusercontent.com/TensorVision/TensorVision/master/requirements.txt
$ pip install https://github.com/TensorVision/TensorVision/archive/master.zip
```

For more details, please have a look at the
[installation instructions](http://tensorvision.readthedocs.io/en/latest/user/installation.html)
in the documentation.


## Documentation

Documentation is available online: http://tensorvision.readthedocs.io

## Examples

Examples of how to utilize TensorVision to perform various tasks can be found in our [KittiSeg](https://github.com/MarvinTeichmann/KittiSeg#kittiseg), [KittiBox](https://github.com/MarvinTeichmann/KittiBox#kittibox) and [MultiNet](https://github.com/MarvinTeichmann/MultiNet) repository.




## Changelog

#### Breaking Changes

- Module: `optimizer` Function: `get_learning_rate` Change: Added, now needs to be implemented.
- Module: `optimizer` Function: `training` Change: Parameter `learning_rate` added.
geocodertools 0.1.7
Functions to work with Geo coordinates, reverse geo coding and getting city names out of coordinates without internet
License: MIT
Keywords: geocoder,longitude,latitude

[![Build Status](https://travis-ci.org/MartinThoma/geocodertools.svg?branch=master)](https://travis-ci.org/MartinThoma/geocodertools)
[![Coverage Status](https://img.shields.io/coveralls/MartinThoma/geocodertools.svg)](https://coveralls.io/r/MartinThoma/geocodertools?branch=master)
[![Documentation Status](http://img.shields.io/badge/docs-latest-brightgreen.svg)](http://pythonhosted.org/geocodertools)
[![Code Health](https://landscape.io/github/MartinThoma/geocodertools/master/landscape.svg)](https://landscape.io/github/MartinThoma/geocodertools/master)

## Installation

```bash
# pip install geocodertools
$ geocodertools --lng 8.40 --lat 49.3
```

## Usage

### Command line

```bash
$ geocodertools --lng 8.40 --lat 49.3
admin1 code: 08
admin2 code: 00
admin3 code: 07338
admin4 code: 07338007
alternatenames: 
asciiname: Dudenhofen
cc2: 
country code: DE
dem: 105
elevation: 
feature class: P
feature code: PPLA4
geonameid: 2934737
latitude: 49.31861
longitude: 8.38861
modification date: 2011-04-25
name: Dudenhofen
population: 5709
timezone: Europe/Berlin
```

### Python

```python
import geocodertools.reverse as geo
city = geo.get_city({'latitude': 8.2, 'longitude': 49.2})
```