Deploying a Deep Learning Model using Hugging Face Spaces and Gradio скачать в хорошем качестве

Deploying a Deep Learning Model using Hugging Face Spaces and Gradio

📚 Blog post Link: https://learnopencv.com/deploy-deep-l... 📚 Check out our FREE Courses at OpenCV University: https://opencv.org/university/free-co... In this computer vision tutorial video, we will see how to deploy a computer vision application. We will deploy an app using Hugging Face Spaces and Gradio. By the end of this video, you'll be able to deploy your model and run inference on both images and videos. Hugging Face Spaces is a collaborative page on the Hugging Face website to deploy and showcase machine learning projects. ❓Deep learning encompasses more than just training a model. Its true value shines through when its potential is leveraged by the masses, be it for image classification or object detection. This is where the importance of deployment is magnified. But worry not, deployment does not necessitate expensive cloud servers. Instead, we can harness the power of Hugging Face Spaces for this purpose, a concept that we will explore extensively in this article by deploying a deep learning model using Hugging Face Spaces and Gradio. We will delve into the lifecycle of deploying a deep learning model. Our model of choice will be the YOLOv8 Nano model, trained specifically for pothole detection. Additionally, we'll guide you through deploying a model on Hugging Face Spaces capable of running inferences on both images and videos. Brace yourself for an enlightening and intriguing journey into the world of deep learning deployment. Topics Covered: ✅Body Pose Estimation Using MediaPipe ✅What are Hugging Face Spaces and Gradio and Why Do We Need Them? ✅Deploying DL Models on HuggingFace Spaces and Gradio ✅Deploying the Pothole Detector Deep Learning Model ✅Uploading the Scripts and Model ✅Using the Deployed Pothole Detector App on Hugging Face Spaces ⭐️ Time Stamps:⭐️ 00:00-00:21: Introduction 00:21-00:45: Huggingface 00:45-01:15: Gradio 01:15-01:55: Creating a Space 01:55-05:10: Deployment 05:10-05:35: Uploading the Model 05:35-05:52: Outro Resources: 🖥️ 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 #️⃣ Connect with Us #️⃣ 📝 Linkedin:   / satyamallick   📱 Twitter:   / learnopencv   🔊 Facebook: https://www.facebook.com/profile.php?... 📸 Instagram:   / learnopencv   🔗 Reddit:   / spmallick   🔖Hashtags🔖 #deeplearning #computervision #learnopencv #opencv #DeepLearning #ComputerVision #AIModelDeployment #HuggingFaceSpaces #Gradio #YOLOv8Nano #ObjectDetection #PotholeDetection #MachineLearning #AIinAction #AIApplication #RealTimeInference #ImageClassification #VideoAnalysis #AIEducation #AIForGood #TechTutorial #AIProject #ArtificialIntelligence #InnovationInAI