Human Action Recognition Jupyter Notebook on Colab

Описание к видео Human Action Recognition Jupyter Notebook on Colab

This video describes how to use a Python notebook we have shared for Human Action Recognition on Google Colab.
Human action recognition involves analyzing the video footage to predict or classify various actions performed by the person in that video. It is widely applied in diverse fields like surveillance, sports, fitness, and defense.
Let’s say you want to build an application for teaching Yoga online. It should offer a list of pre-recorded yoga session videos for users to watch. After watching a video on the app, users can upload videos of their personal practice sessions. The app then evaluates their performance and gives feedback on how well the user has performed the various yoga asanas (or poses). Wouldn’t it be great to use action recognition to automate the evaluation of the video? Well, there’s more you can do with it.

❓FAQ
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📚 Blog post Link: https://learnopencv.com/human-action-...

📚 Link to jupyter notebook
https://raw.githubusercontent.com/spm...

🖥️ On our blog - https://learnopencv.com we also share tutorials and code on topics like Image Processing, Image Classification, Object Detection, Face Detection, Face Recognition, YOLO, Segmentation, Pose Estimation, and many more using OpenCV(Python/C++), PyTorch, and TensorFlow.

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