📝We will convert a pre-trained TensorFlow model into a TF.js friendly format.
☁️We will host the model on cloud object storage for easy access.
🖥️We will leverage a pre-built computer vision template to simplify our development process.
📷We will use our webcam to make real-time detections.
👀We will visualize the real-time detections on screen.
What other use cases can this tutorial be applied to?
—This tutorial can be easily applied to other use cases, such as stop sign detection or microscope detection.
Do I need prior experience with TensorFlow or React to follow this tutorial?
—Some familiarity with TensorFlow and React will be helpful, but the tutorial provides step-by-step instructions and explanations.
Can I use a different pre-trained model?
—Yes, you can use a different pre-trained model by following the steps to convert it into a TF.js friendly format.
What programming languages will be used in this tutorial?
—We will mainly use JavaScript for this tutorial, specifically TensorFlow.js and React.
Is there a GitHub repository available for this tutorial?
—Yes, a GitHub repository with the code and necessary resources will be provided.
00:09Introduction to building a real-time sign language detector using TensorFlow.js and React.
01:15Overview of the steps involved, from converting the pre-trained model to hosting it on cloud storage.
02:46Explanation of leveraging a pre-built computer vision template to simplify development.
06:03Using the webcam for real-time sign language detections.
09:26Visualizing the real-time sign language detections on screen.
