PyMO | machine learning research on motion capture data | Data Visualization library

 by   omimo Python Version: v0.1.0 License: MIT

kandi X-RAY | PyMO Summary

kandi X-RAY | PyMO Summary

PyMO is a Python library typically used in Analytics, Data Visualization applications. PyMO has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

A library for using motion capture data for machine learning.
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            kandi-support Support

              PyMO has a low active ecosystem.
              It has 300 star(s) with 70 fork(s). There are 19 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 7 open issues and 4 have been closed. On average issues are closed in 213 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of PyMO is v0.1.0

            kandi-Quality Quality

              PyMO has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              PyMO is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              PyMO releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              PyMO saves you 700 person hours of effort in developing the same functionality from scratch.
              It has 1618 lines of code, 93 functions and 17 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed PyMO and discovered the below as its top functions. This is intended to give you an instant insight into PyMO implemented functionality, and help decide if they suit your requirements.
            • Parses a file into a DataFrame
            • Parse a hierarchy
            • Parse a joint block
            • Read the channels from the stream
            • Inverse transform function
            • Convert an exponential map to an euler map
            • Convert a rotation matrix to euler angles
            • Play a mocap
            • Write the motions to a file
            • Print the information for a joint
            • Create foot contact signal
            • Get the foot contact indices of a signal
            • Transform X into a list of transforms
            • Clone the MocapData object
            • Play a mocap from a URL
            • Plots foot up to a given col_name
            • Transform X into a list of const_s
            • Transform X
            • Inverse of the mocap
            • Compute the translation of the transform
            • Generate rotation matrix from Euler angles
            • Compute the projection of the track
            • Transform a list of tracks into a new one
            • Apply the transformation to the data
            • Inverse of the transform
            • Fit the covariance matrix to the given data
            Get all kandi verified functions for this library.

            PyMO Key Features

            No Key Features are available at this moment for PyMO.

            PyMO Examples and Code Snippets

            No Code Snippets are available at this moment for PyMO.

            Community Discussions

            QUESTION

            Modifying existent code to get search results from API
            Asked 2018-Dec-21 at 19:36

            I'm currently working on a small hobby project and encountered some problems that I find myself unable to solve. First of all I'd like to point out that my programming experience is limited to some computational physics and therefore quite far away from my current problem.

            To put it simply, I'd like to do some data analysis with data requested from an API. The API I have in mind is this one (documentation is linked right there (can't post any more links)). There is also a quite nice addition to deal with this provided here. I was able to write a basic program to get the data for a given id and do some simple calculations. Since it is quite unhandy to have to look up the id of every title the author of 3 has provided a search option. So I'm able to search for an entry by name, season and some other key defined in here.

            This is certainly handy but I fail to see how I can effectively use this in a maybe a little bit more complicated context. Lets for example say I do the following, as suggested in the Read me file of 3.

            ...

            ANSWER

            Answered 2018-Dec-21 at 19:36

            Under Page in the docs, you'll see that media (note lowercase) links to these docs here: this media return is different from the Media (capitalized) query return object. This media node doesn't have the seasonYear value, just like the error says. From the looks of it, you'll probably want either the startDate or endDate and parse year from there

            Source https://stackoverflow.com/questions/53824463

            QUESTION

            Python simplify list items
            Asked 2018-Sep-05 at 07:12

            I am using an API wrapper for AniList called PyMoe. And using this for my Discord Bot. Here is the code I am using:

            ...

            ANSWER

            Answered 2018-Sep-05 at 07:12

            use join() method to solve the issue

            Source https://stackoverflow.com/questions/52177907

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

            Vulnerabilities

            No vulnerabilities reported

            Install PyMO

            You can download it from GitHub.
            You can use PyMO 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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            https://github.com/omimo/PyMO.git

          • CLI

            gh repo clone omimo/PyMO

          • sshUrl

            git@github.com:omimo/PyMO.git

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