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Download "Human Action Recognition Jupyter Notebook on Colab"

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Video tags

human action recognition github
human action recognition python
human action recognition dataset
human action recognition project
human activity recognition project with source code
human-activity-recognition github python
yolo action recognition github
real time human-activity recognition github
ai
machinelearning
objectdetection
deeplearning
computervision
objecttracking
learnopencv
opencv
humanaction
actionrecognition
detectron2
lstm
inference
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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 What is human action recognition? How does human activity recognition work? Why is human activity recognition important? Which method is best for human activity recognition? 📚 Blog post Link: https://learnopencv.com//human-action-recognition-using-detectron2-and-lstm/ 📚 Link to jupyter notebook https://raw.githubusercontent.com/spmallick/learnopencv/master/Human-Action-Recognition-Using-Detectron2-And-Lstm/human_action_classification.ipynb 🖥️ 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. 🤖 Learn from the experts on AI: Computer Vision and AI Courses YOU have an opportunity to join the over 5300+ (and counting) researchers, engineers, and students that have benefited from these courses and take your knowledge of computer vision, AI, and deep learning to the next level. https://opencv.org/courses #️⃣ Social Media #️⃣ 📝 Linkedin: https://www.linkedin.com/in/satyamall... 📱 Twitter: https://twitter.com/LearnOpenCV 🔊 Facebook: https://www.facebook.com/unsupportedbrowser 📸 Instagram: https://www.facebook.com/unsupportedbrowser 🔗 Reddit: https://www.reddit.com/user/spmallick 🔖Hashtags🔖

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