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Hi. I've recently installed LabGym and was able to train a pretty accurate detector and categorize. However, my issue lies more with the analysis data. I'm currently working with jellyfish footage that only contains one jellyfish in the video. Since this particular species pulses (contraction of its bell) it is very easily quantified. While the categorizer does detect the behavior accurately, the data in the "all_events" goes frame by frame and plots whichever behavior the categorizer thinks it is exhibiting during that frame. For example, if I was looking at frame 1 and the jellyfish is contracting, I believe this is a good data point. However, it will then go onto frame 2, in which the jellyfish is still in the same contraction, and it will also plot this frame as a contraction. This leads to too many "contraction" data points as it is plotting by frame. How would I better set up my categorizer to only plot one point of each contraction to get an accurate data set?
Thank you for your time, and I apologize for the lengthy question.
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Hi. I've recently installed LabGym and was able to train a pretty accurate detector and categorize. However, my issue lies more with the analysis data. I'm currently working with jellyfish footage that only contains one jellyfish in the video. Since this particular species pulses (contraction of its bell) it is very easily quantified. While the categorizer does detect the behavior accurately, the data in the "all_events" goes frame by frame and plots whichever behavior the categorizer thinks it is exhibiting during that frame. For example, if I was looking at frame 1 and the jellyfish is contracting, I believe this is a good data point. However, it will then go onto frame 2, in which the jellyfish is still in the same contraction, and it will also plot this frame as a contraction. This leads to too many "contraction" data points as it is plotting by frame. How would I better set up my categorizer to only plot one point of each contraction to get an accurate data set?
Thank you for your time, and I apologize for the lengthy question.
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