rasl | Python implementation of RASL image alignment algorithm

 by   welch Python Version: 0.1.0 License: MIT

kandi X-RAY | rasl Summary

kandi X-RAY | rasl Summary

rasl is a Python library. rasl has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However rasl has 1 bugs. You can install using 'pip install rasl' or download it from GitHub, PyPI.

The rasl package ships with a builtin shell command, rasl.demo, that is installed when you install the package. It expects a path to a directory of image files, and has many options (the python examples above simply call rasl.demo with appropriate settings). One caveat: if your images are of different sizes (as in the Al_Gore directory) you’ll need specify --crop to trim them all to the same size as they load.
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            kandi-support Support

              rasl has a low active ecosystem.
              It has 41 star(s) with 8 fork(s). There are 9 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 0 have been closed. On average issues are closed in 846 days. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of rasl is 0.1.0

            kandi-Quality Quality

              rasl has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 50 code smells.

            kandi-Security Security

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

            kandi-License License

              rasl 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

              rasl releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              rasl saves you 394 person hours of effort in developing the same functionality from scratch.
              It has 937 lines of code, 72 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 rasl and discovered the below as its top functions. This is intended to give you an instant insight into rasl implemented functionality, and help decide if they suit your requirements.
            • A demo function for loading images
            • Compute the jacobobian of an image
            • Show the outer image
            • Visualize the inner product of two matrices
            • Computes the image gradient of an image
            • Make a clone of the optimizer
            • Visualize vector images
            • Compute the gradient of the image
            • Computes the inner product of an image
            • Transform an image
            • Displays a list of images
            • Load images
            • Sets the image
            • R Converts parameters to a projection matrix
            • Generate jaco coordinates for an image
            • RASL transformation
            • Argument parser
            • Sets the transformation matrix
            • R Converts a vectorive matrix to a parameter space
            • Set the parameter vector
            Get all kandi verified functions for this library.

            rasl Key Features

            No Key Features are available at this moment for rasl.

            rasl Examples and Code Snippets

            Quick Start
            Pythondot img1Lines of Code : 3dot img1License : Permissive (MIT)
            copy iconCopy
            > pip install rasl
            > rasl.demo --help
            ... (rasl help output) ...  

            Community Discussions

            QUESTION

            What's the difference between CRA picture and BLA picture?
            Asked 2018-Apr-18 at 13:12

            According to HEVC spec:

            A clean random access (CRA) picture may have associated random access skipped leading (RASL) or random access decodable leading (RADL) pictures present in the bitstream.

            A broken link access (BLA) picture having nal_unit_type equal to BLA_W_LP may have associated RASL or RADL pictures present in the bitstream. A BLA picture having nal_unit_type equal to BLA_W_RADL does not have associated RASL pictures present in the bitstream, but may have associated RADL pictures in the bitstream. A BLA picture having nal_unit_type equal to BLA_N_LP does not have associated leading pictures present in the bitstream

            Except the containing different NAL_unit type, there seems to be no difference between CRA and BLA with nal_unit_type equal to BLA_W_LP.

            Any difference between them?

            ...

            ANSWER

            Answered 2018-Apr-18 at 13:12

            BLA pictures are very similar to CRA pictures but the main difference is, it is used for concatenating different streams (spliced video). When you concatenate two HEVC streams of different properties (like resolution, GOP, CUSize etc) CRA pictures are converted to BLA pictures. In case of CRA pictures both RASL and RADL pictures are decoded and displayed if it is not a random access where as in case of BLA pictures, RASL pictures are ignored even if it is not a random access.

            Source https://stackoverflow.com/questions/49215965

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

            Vulnerabilities

            No vulnerabilities reported

            Install rasl

            This isn’t going to me much fun without actual image data. To install in-place along with data and examples, so you can run tests and play with the included data sets:.

            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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            Install
          • PyPI

            pip install rasl

          • CLONE
          • HTTPS

            https://github.com/welch/rasl.git

          • CLI

            gh repo clone welch/rasl

          • sshUrl

            git@github.com:welch/rasl.git

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