behavython - Behavython standalone executable 0.6.0 - Deeplabcut

Behavython (0.6.0 Release)

Important The usage is going to be conjoined with deeplabcut. This time, all of the files are going to analyzed using the custom code for social tasks The user cannot include the keyword roi anywhere in the filename or otherwise

Highlights: - Task duration option for the user if there is any discrepancy between the video's length and the task duration - The amount of time to trim from the video's start - The button that enables this option

- Python
Published by mrdrzit over 2 years ago

behavython - Behavython standalone executable (0.5.3)

Behavython (0.5.3 Release) Behavython is a program based on the original code by Flávio Mourão that is used together with a specific bonsai workflow to analyze data extracted from behavioral sessions of two specific tasks performed with mice: Elevated Plus Maze and Open Field

Important First, the user needs to process the videos in bonsai to extract information about the position of the subjects. Then, with the data and a picture of the arena, our program analyzes and outputs various types of useful information about the experiment (Check the examples folder)

Second, the filenames shouldn't have spaces (E.g.: animal sample data should be animalsampledata)

Highlights:

• Add VY icon to the interface's main window

• Make the entries graph more readable

• Add bicubic interpolation for image resizing

• Fix indexing when making the quadrant entries

- Python
Published by mrdrzit about 3 years ago

behavython - Behavython standalone executable (0.5.1)

Behavython (0.5.1 Release)

Behavython is a program based on the original code by Flávio Mourão that is used together with a specific bonsai workflow to analyze data extracted from behavioral sessions of two specific tasks performed with mice: Elevated Plus Maze and Open Field

Important

First, the user needs to process the videos in bonsai to extract information about the position of the subjects. Then, with the data and a picture of the arena, our program analyzes and outputs various types of useful information about the experiment (Check the examples folder)

0.5.1 - Highlights

• Useful error messages
• considerably more stable experience when analyzing multiple files
• Launch of the standalone interface

- Python
Published by mrdrzit over 3 years ago