olympe | Python controller library for Parrot Drones | Continous Integration library

 by   Parrot-Developers Python Version: v7.1.0 License: BSD-3-Clause

kandi X-RAY | olympe Summary

kandi X-RAY | olympe Summary

olympe is a Python library typically used in Devops, Continous Integration applications. olympe has no vulnerabilities, it has a Permissive License and it has low support. However olympe has 6 bugs and it build file is not available. You can install using 'pip install olympe' or download it from GitHub, PyPI.

Olympe provides a Python controller programming interface for Parrot Drone. You can use Olympe to connect and control a drone from a remote Python script executed from your computer. Olympe is primarily intended to be used with a simulated drone (using Sphinx, the Parrot drone simulator) but may also be used to connect to physical drones. Like GroundSDK-iOS and GroundSDK-Android, Olympe is based on arsdk-ng/arsdk-xml. Olympe is part of the Parrot Ground SDK which allows any developer to create its own mobile or desktop application for ANAFI and ANAFI Thermal drones.
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            kandi-support Support

              olympe has a low active ecosystem.
              It has 59 star(s) with 26 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 9 open issues and 21 have been closed. On average issues are closed in 23 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of olympe is v7.1.0

            kandi-Quality Quality

              OutlinedDot
              olympe has 6 bugs (2 blocker, 0 critical, 2 major, 2 minor) and 191 code smells.

            kandi-Security Security

              olympe has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              olympe code analysis shows 0 unresolved vulnerabilities.
              There are 35 security hotspots that need review.

            kandi-License License

              olympe is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              olympe releases are available to install and integrate.
              Deployable package is available in PyPI.
              olympe has no build file. You will be need to create the build yourself to build the component from source.
              olympe saves you 4195 person hours of effort in developing the same functionality from scratch.
              It has 14131 lines of code, 1238 functions and 66 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed olympe and discovered the below as its top functions. This is intended to give you an instant insight into olympe implemented functionality, and help decide if they suit your requirements.
            • Start downloading the resource .
            • Called when a media is added .
            • Converts a JSON object into a value pair .
            • Handle a received message .
            • Load a module .
            • Add a coded frame .
            • Adds Arsdk proto message .
            • Update the media state .
            • Return a string describing the supported devices .
            • Converts a regular message to a JSON object .
            Get all kandi verified functions for this library.

            olympe Key Features

            No Key Features are available at this moment for olympe.

            olympe Examples and Code Snippets

            No Code Snippets are available at this moment for olympe.

            Community Discussions

            QUESTION

            scrapy pass item to multiple method
            Asked 2021-Dec-21 at 08:05

            I tried to pass my item to 2 different method as below. the reason why I pass it through 2 methods is because in each page, I try to get some data in each page, and then in each of those pages, get the relevant links and go through them to collect more data. the problem seems to come from the fact that I pass item through 2 loops. It increase the number of item from 23 after the first loop (what it is supposed to be) to 248 item after yield scrapy.Request(url=final_url, callback=self.parse_sports, meta={'event_item': item, 'discipline': event_name}) I still need to go through final_url. But how I can stop it from creating the unnecessary items since as of now, it creates a new item each time the for loop was run

            ...

            ANSWER

            Answered 2021-Dec-21 at 08:05

            You can go through the list and only when you're done with it yield the item.

            Source https://stackoverflow.com/questions/70419493

            QUESTION

            Cannot convert a list of "strings" to a tf.Dataset.from_tensor_slicer() - ValueError: Can't convert non-rectangular Python sequence to Tensor
            Asked 2020-Jul-21 at 14:00

            I have the following data:

            ...

            ANSWER

            Answered 2020-Jul-21 at 12:53

            You will need to turn these strings into vectors, and pad them to equal length. I'll show you an example with just partial_x_train_actors_array:

            Source https://stackoverflow.com/questions/63014556

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

            Vulnerabilities

            No vulnerabilities reported

            Install olympe

            You can install using 'pip install olympe' or download it from GitHub, PyPI.
            You can use olympe 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.

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            Linux Desktop PC (Ubuntu, Debian)
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            CLONE
          • HTTPS

            https://github.com/Parrot-Developers/olympe.git

          • CLI

            gh repo clone Parrot-Developers/olympe

          • sshUrl

            git@github.com:Parrot-Developers/olympe.git

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