Pyllusion | Parametric Framework to Generate Visual Illusions
kandi X-RAY | Pyllusion Summary
kandi X-RAY | Pyllusion Summary
Pyllusion is a Python library. Pyllusion has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install Pyllusion' or download it from GitHub, PyPI.
Visual illusions are fascinating phenomena that have been used and studied by artists and scientists for centuries, leading to important discoveries about how conscious perception is generated by the brain. Instead of crafting them by hand, Pyllusion offers a framework to manipulate and generate illusions in a systematic way. The parametric approach implemented in this software proposes to describe illusions using a set of parameters, such as for instance the difference and illusion strength. These two parameters can be modulated to independently impact either the objective difference of the core components of the illusion (e.g., the difference between the two segments in the Müller-Lyer illusion) or the intensity of the illusion effect (e.g., the angle of the “distractors” arrows). Describing illusions using a set of parameters aims at fostering reproducible science, allowing neuroscientists to easily report, generate and manipulate similar stimuli regardless of the display format and software.
Visual illusions are fascinating phenomena that have been used and studied by artists and scientists for centuries, leading to important discoveries about how conscious perception is generated by the brain. Instead of crafting them by hand, Pyllusion offers a framework to manipulate and generate illusions in a systematic way. The parametric approach implemented in this software proposes to describe illusions using a set of parameters, such as for instance the difference and illusion strength. These two parameters can be modulated to independently impact either the objective difference of the core components of the illusion (e.g., the difference between the two segments in the Müller-Lyer illusion) or the intensity of the illusion effect (e.g., the angle of the “distractors” arrows). Describing illusions using a set of parameters aims at fostering reproducible science, allowing neuroscientists to easily report, generate and manipulate similar stimuli regardless of the display format and software.
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Pyllusion has a low active ecosystem.
It has 11 star(s) with 3 fork(s). There are 3 watchers for this library.
It had no major release in the last 12 months.
There are 4 open issues and 4 have been closed. On average issues are closed in 16 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Pyllusion is 1.2
Quality
Pyllusion has 0 bugs and 0 code smells.
Security
Pyllusion has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Pyllusion code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Pyllusion is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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Pyllusion 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 are not available. Examples and code snippets are available.
It has 3428 lines of code, 159 functions and 94 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Pyllusion and discovered the below as its top functions. This is intended to give you an instant insight into Pyllusion implemented functionality, and help decide if they suit your requirements.
- Draws an image
- Rescale an array
- Rescale a value
- Helper function for text coordinates
- Analyze an image
- Calculates the luminosity of the image
- Compute the difference between two angles
- Generate image noise
- Rescale an RGB value
- Convert to an image
- Convert the model to a psycopgopy window
- Convert a window to a percentage
- Convert the model to a Zenopy
- Generate a PNG image
- Convert a given window to a ProbPy relaxation
- Convert the given window to a polaropy window
- Convert a window to white noise
- Convenience function to write a periodopy
- Write the relaxation to a rodframe
- Generate a white image
- Convert the model to an image
- Generate an image of the hub
- Convert the image to an image
- Convert to image
- Generates PIL images for motiontransparency
- Draws the image
Get all kandi verified functions for this library.
Pyllusion Key Features
No Key Features are available at this moment for Pyllusion.
Pyllusion Examples and Code Snippets
No Code Snippets are available at this moment for Pyllusion.
Community Discussions
No Community Discussions are available at this moment for Pyllusion.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Pyllusion
You can install using 'pip install Pyllusion' or download it from GitHub, PyPI.
You can use Pyllusion 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.
You can use Pyllusion 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
You have some ideas? Want to improve things, add new illusions, and help us shake people’s brain? Let us know, we would be very happy to have you on board :relaxed:.
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