FrameNet | Learning Local Canonical Frames of 3D Surfaces | Machine Learning library

 by   hjwdzh Python Version: Current License: MIT

kandi X-RAY | FrameNet Summary

kandi X-RAY | FrameNet Summary

FrameNet is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Pytorch, OpenCV applications. FrameNet has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However FrameNet build file is not available. You can download it from GitHub.

Source code for the paper:. Jingwei Huang, Yichao Zhou, Thomas Funkhouser, and Leonidas Guibas. FrameNet: Learning Local Canonical Frames of 3D Surfaces from a Single RGB Image, ICCV 2019.
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              FrameNet has a low active ecosystem.
              It has 114 star(s) with 11 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 8 have been closed. On average issues are closed in 145 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FrameNet is current.

            kandi-Quality Quality

              FrameNet has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              FrameNet 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

              FrameNet releases are not available. You will need to build from source code and install.
              FrameNet 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.
              FrameNet saves you 591 person hours of effort in developing the same functionality from scratch.
              It has 1379 lines of code, 59 functions and 10 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed FrameNet and discovered the below as its top functions. This is intended to give you an instant insight into FrameNet implemented functionality, and help decide if they suit your requirements.
            • Train one iteration
            • Normalize a vector
            • Rotate a rotation matrix
            • Log string to file
            • Convert quaternion to angle
            • Calls click and crop image
            • Draw a triangle
            • Render a 3D mesh
            • Modify the image
            • Visualize the image
            • Convert pixel coordinates to pixel coordinates
            • Builds homography matrix
            • Update the image
            • Process a MOJ file
            • Log to file
            • Convert an image to vec
            • Renders a World2cam
            • Visualize direction
            Get all kandi verified functions for this library.

            FrameNet Key Features

            No Key Features are available at this moment for FrameNet.

            FrameNet Examples and Code Snippets

            No Code Snippets are available at this moment for FrameNet.

            Community Discussions

            QUESTION

            Traversing dependency parsing in dictionaries
            Asked 2019-Feb-02 at 06:20

            I'm working on dependency parsing of text data and my algorithm is using an api from http://framenet.icsi.berkeley.edu. I am receiving data in the form of dictionaries and the values are either empty or an array of dictionaries which again have some more dictionaries in their values.

            This code is what I used to go a few steps deep in the dictionary.

            ...

            ANSWER

            Answered 2019-Jan-31 at 09:51

            Here is a recursive function to traverse the dict and run a function on each node (depth-first search, as suggested by KGS above).

            Source https://stackoverflow.com/questions/54457051

            QUESTION

            xsl: check if both strings are equal, if true then display another string
            Asked 2017-Dec-31 at 03:01

            I have a first TEI which content is used for XSLT that you can find here http://xsltfiddle.liberty-development.net/3Nqn5Y4/7

            A second TEI in corpus_ilimilku.xml which I need to use in the same XSLT file:

            ...

            ANSWER

            Answered 2017-Dec-28 at 08:00

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

            Vulnerabilities

            No vulnerabilities reported

            Install FrameNet

            You can download it from GitHub.
            You can use FrameNet 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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            gh repo clone hjwdzh/FrameNet

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            git@github.com:hjwdzh/FrameNet.git

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