(Easy!) Analyze DeepLabCut CSV Like This... скачать в хорошем качестве

(Easy!) Analyze DeepLabCut CSV Like This...

I completely understand your frustration as a researcher using DeepLabCut for animal behavior experiments. It can be challenging to figure out how to analyze the data after training the DLC model and achieving ideal tracking. You may have questions about how to calculate the amount of movement made by the animal, the time it spent in or around a specific region, and other important details. While DLCAnalyzer and DLC Helper functions are useful, they may not meet the needs of all behavioral investigators. Fortunately, there is a Jupyter script that can help you post-process and analyze DeepLabCut (DLC) CSV files. The script is designed to be user-friendly and allows you to calculate velocities, draw Region of Interest (ROI), and more. Please make sure to read the instructions and install the dependencies (info on the GitHub page). The best part is that the script includes an ROI drawing feature that allows you to define a rectangle on a graphical plot of the data. The coordinates of the ROI are saved for further analysis. When you download the script from the GitHub page below. The script outputs the following information: 1. The total distance moved by each body part within the ROI. 2. The average velocity of each body part. 3. The total time each body part spent within the ROI. 4. Any detected jumps or significant movements between frames that exceed a predefined threshold. GitHub: https://github.com/farhanaugustine/De... I hope this information helps you with your research!