vin-decoder | Vehicle Identification Number | Computer Vision library

by WALL-E Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | vin-decoder Summary

vin-decoder is a Python library typically used in Artificial Intelligence, Computer Vision, OpenCV applications. vin-decoder has low support. However vin-decoder has 197 bugs, it has 2 vulnerabilities and it build file is not available. You can download it from GitHub.

Vehicle Identification Number

Support

Quality

Security

License

Reuse

Support

vin-decoder has a low active ecosystem.

It has 13 star(s) with 8 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 9 open issues and 9 have been closed. On average issues are closed in 0 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of vin-decoder is current.

Quality

vin-decoder has 197 bugs (0 blocker, 0 critical, 182 major, 15 minor) and 130 code smells.

Security

vin-decoder has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

vin-decoder code analysis shows 2 unresolved vulnerabilities (0 blocker, 2 critical, 0 major, 0 minor).

There are 49 security hotspots that need review.

License

vin-decoder does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

vin-decoder releases are not available. You will need to build from source code and install.

vin-decoder has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

It has 2418 lines of code, 92 functions and 57 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed vin-decoder and discovered the below as its top functions. This is intended to give you an instant insight into vin-decoder implemented functionality, and help decide if they suit your requirements.

Generate a robot html .
Validate a Vincode string .
get html page from url
parse html table
Get information about a WMI code .
Main loop .
Create a robot_html tag from the input code .
Send a RabbitMQ callback
attach vin code to objs
Check if the Vincode is valid .

Get all kandi verified functions for this library.

vin-decoder Key Features

No Key Features are available at this moment for vin-decoder.

vin-decoder Examples and Code Snippets

No Code Snippets are available at this moment for vin-decoder.

Community Discussions

Trending Discussions on vin-decoder

Enter data into a website's input bar using CURL

QUESTION

Enter data into a website's input bar using CURL

Asked 2018-Dec-07 at 23:57

I am trying to create a program that will input data into an input bar on a website. I have done some research and it looks like most use CURL to achieve this. I am new to CURL. So far, I coded a simple program that transcribes the website to my local host.

The input bar I am trying to enter data into is titled "Decode Your Vehicle Identification Number". Ideally, I want to enter a vehicle's VIN number into this, have the program submit it, then capture all the vehicle's data.

Here is my code thus far:

...

ANSWER

Answered 2018-Dec-07 at 23:57

You don't even need CURL for this, since the form works with a GET request. And the output is nicely formatted JSON. You can just use file_get_contents() like this:

Source https://stackoverflow.com/questions/53678173

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install vin-decoder

You can download it from GitHub.
You can use vin-decoder like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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