From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
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Generate analytical graphs - OpenCV Tutorial
From the course: Hands-On AI: Computer Vision Projects with Ultralytics and OpenCV
Generate analytical graphs
- [Narrator] With the help of analytics solution, we can generate different visual graphs based on the prediction data including bar chart, pie chart or maybe line graphs. The resources used in this video are available in the Course code sub directory 04-04. In the sub directory you can see different files, including new-model.pt. It's the new model that I have created for analytics solution by following the step that we already discussed in video two of chapter three, and the reason behind creation of new model is to support multiple classes. The model that we created previously about the APS detection has one class, and if we will create the bar charts, or maybe pie charts, so I will only able to see the single class. But if we want to visualize the analytics, it's better to create multiple classes. In that way, we will be able to understand the analytics in a better way. For creation of the model, I have used the dataset folder inside the same directory, 04-04, alongside the…
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Contents
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Introduction to Ultralytics Solutions4m 42s
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How to count the objects11m 31s
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How to use TrackZone6m 4s
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Generate analytical graphs11m 43s
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Monitor your workouts7m 35s
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Inference using Streamlit8m 2s
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Other solutions information and usage4m 56s
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