anprx | Traffic analysis using Automatic Number Plate Recognition

 by   ppintosilva Python Version: Current License: Non-SPDX

kandi X-RAY | anprx Summary

kandi X-RAY | anprx Summary

anprx is a Python library typically used in Edge Computing, Deep Learning, Tensorflow applications. anprx has no bugs, it has no vulnerabilities, it has build file available and it has low support. However anprx has a Non-SPDX License. You can download it from GitHub.

Traffic analysis using networks of Automatic Number Plate Recognition cameras.
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            kandi-support Support

              anprx has a low active ecosystem.
              It has 9 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              anprx has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of anprx is current.

            kandi-Quality Quality

              anprx has no bugs reported.

            kandi-Security Security

              anprx has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              anprx has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              anprx releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed anprx and discovered the below as its top functions. This is intended to give you an instant insight into anprx implemented functionality, and help decide if they suit your requirements.
            • Generate lsystem
            • Filter out edges by address
            • Return edges with given properties
            • Yields edges from osmids
            • Enrich a network
            • Add address details to a network
            • Removes dead end nodes from the network
            • Yield successive n - sized chunks from l
            • Generates a street network for a given set of points
            • Construct a bounding box from a list of points
            • Compute the area of a bounding box
            • Returns the squared distance between the given units
            • Lookup an address by entity ID
            • Flattens a dictionary
            • R Return the distance between the given edge and point
            • Compute the great circle distance
            • Configure the extension
            Get all kandi verified functions for this library.

            anprx Key Features

            No Key Features are available at this moment for anprx.

            anprx Examples and Code Snippets

            No Code Snippets are available at this moment for anprx.

            Community Discussions

            QUESTION

            Skooma input validator
            Asked 2022-Feb-03 at 15:35

            I was given a task to implement an input validator with the Skooma library https://github.com/bobfp/skooma#validators

            The general concept is pretty clear, but for some inputs I have a list of "legal" words, and I have zero clue on how to implement the validation for this case. Hence why I came here, I wanted to ask if you know any examples / projects that used this library? I googled but didn't find anything. Of if you have any other tipps just let me know! 🙂 This is the example:

            my schema:

            ...

            ANSWER

            Answered 2022-Jan-31 at 00:05

            You need a custom validator function, here's an example:

            Source https://stackoverflow.com/questions/70913797

            QUESTION

            How do I create a Near Edge computing system? (Send sensor data with Raspberry Pi/DHT11 sensor)
            Asked 2021-Jan-22 at 10:01

            I am working on edge computing for IoT applications and expected to create a system that acts as a near edge computer with the use of a raspberry pi hooked up to a dht11 sensor. How do I send this data over to a computer that is at the edge? Ideally I want to use my PC as this device but I have no clue how to send this data over in real time.

            So far I have created the circuit and can view the temperature and humidity readings on the raspberry pi in python. Unsure of what the next steps are - I don't want to send this data over to the cloud just yet.

            Side note: I believe i may be missing knowledge regarding this but is the raspberry pi an edge device because it is hooked up to the sensor directly?

            Any help is greatly appreciated.

            ...

            ANSWER

            Answered 2021-Jan-22 at 10:01

            You need to think this through a bit more. What will you do with the temperature and humidity data that you receive?

            For example, if you're just experimenting and want to just see the readings in a console on your PC, you can use netcat to send the console output of your Python program from the RPi to PC. No SW development needed, they just have to be in the same network. Not particularly useful for anything else, either.

            Otherwise you need to set up some client-server solution between the RPi and your PC. There's a ton of possible solutions, all depending on what you plan to do with the data. You can use MQTT, HTTP, a straight database connection (MySQL, PostgreSQL), etc. You have to supply both sides of the connection. The Python code on client side which connects and sends data; and the server side thing that accepts the samples and stores them somewhere. Plus all the networking, authentication etc.

            Or you can just download the Python client libraries for your favourite cloud solution and set that up according to a tutorial. TBH, this sounds a lot less work to me.

            Source https://stackoverflow.com/questions/65835920

            QUESTION

            What is the time complexity of this peudo code?
            Asked 2020-Jun-21 at 12:16

            I don't have a lot of knowledge computing the complexity. Can you help estimate the complexity of the following pseudo-codes?

            Algorithm 1:

            ...

            ANSWER

            Answered 2020-Jun-21 at 11:50
            Algorithm1
            1. The algorithm1 will first perform simple multiplication and addition on vectors. Assuming that it loops from start to end on each vector and performs some calculations, the number of iterations made would be 3*N which would be considered O(N)

            Source https://stackoverflow.com/questions/62497868

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

            Vulnerabilities

            No vulnerabilities reported

            Install anprx

            ANPRX is available through pypi:. See requirements.txt for a complete list of dependencies. Important: OSMnx requires the Rtree package which is a python wrapper for libspatialindex. To get osmnx to work properly, which this package heavily relies on, download and install libspatialindex first.

            Support

            All modules and methods are documented in anprx.readthedocs.io.
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            https://github.com/ppintosilva/anprx.git

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            gh repo clone ppintosilva/anprx

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            git@github.com:ppintosilva/anprx.git

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