stytra | A modular package to control stimulation and track behaviour | Application Framework library
kandi X-RAY | stytra Summary
kandi X-RAY | stytra Summary
A modular package to control stimulation and track behaviour
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Top functions reviewed by kandi - BETA
- Process the image
- Reset the state of the image
- Calculate the distance of the pixel in the image
- Return a list of column names
- Main thread
- Retrieve parameters from the controller
- Put a frame onto the queue
- Update the framerate
- Refresh the image
- The main loop
- Retrieve the image from the camera
- Updates the plot
- Update the image
- Calculate the vel and lag of a given lag
- Process image
- Run the process
- Retrieve the image from the queue
- Update the histogram
- Generate a background image
- Open camera
- Get the current position of the track
- Update the state of the experiment
- Setup the recording
- Retrieve image from queue
- Wrap the main window
- Save the stimulus to disk
stytra Key Features
stytra Examples and Code Snippets
Community Discussions
Trending Discussions on Application Framework
QUESTION
I am trying to understand various available AGL specific options that we can give in config.xml and I am referring to the link below
https://docs.automotivelinux.org/docs/en/halibut/apis_services/reference/af-main/2.2-config.xml.html
This is the sample config.xml file
...ANSWER
Answered 2020-Mar-06 at 09:48I figured out why we need this
required-api: param name="#target"
OPTIONAL(not compulsory)
It declares the name of the unit(in question it is main) requiring the listed apis. Only one instance of the param “#target” is allowed. When there is not instance of this param, it behave as if the target main was specified.
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No vulnerabilities reported
Install stytra
You can use stytra 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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