YOLO Object Detection Using OpenCV And Python || Python Project
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Published 2023-04-13
🔥 For Project resources, Click The Link below :
bit.ly/3GLJkYs
In this lesson we will learn YOLO Object Detection Using OpenCV And Python Complete Project.
Real - Time Object Detection
In this project we are building real time object detection where we will detect the object in real time. In this course course we trained 20 different object those are 'person', 'car', 'chair', 'bottle', 'pottedplant', 'bird', 'dog', 'sofa', 'bicycle', 'horse', 'boat', 'motorbike', 'cat', 'tvmonitor', 'cow', 'sheep', 'aeroplane', 'train', 'diningtable' and 'bus'.
In order to achieve this we will follow the Data Science SDLC (Software Development Life Cycle). First we will start by gathering the data and requirements. After that based on the requirements we will create the pipeline to prepare the data.
Once our data is ready then we will train our YOLOv5 model in Google Collab GPU environment. Finally we will extract the detection from the model.
Welcome to this comprehensive tutorial on YOLO (You Only Look Once) Object Detection using OpenCV and Python. In this video, you will learn how to implement the state-of-the-art deep learning model YOLO to detect objects in images and videos.
Here's what you will learn in this tutorial:
Introduction to YOLO object detection
Installing OpenCV and other required libraries
Preparing the dataset and annotations for training
Training the YOLO model using Darknet
Fine-tuning the pre-trained YOLO model for better accuracy
Testing the trained model on images and videos
Visualizing the results and tuning the parameters for better performance
Whether you're a beginner or an advanced user, this tutorial will guide you through every step of the process, from setting up the environment to training the model and testing it on real-world data.
At the end of this video, you will have a deep understanding of how YOLO works and how you can apply it to solve real-world problems. So, if you're ready to take your computer vision skills to the next level, hit the play button and let's get started!
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Thank you for watching
All Comments (21)
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The best video on YOLO+OpenCV object detection and tracking, Thank you very much, Sir!
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Amazing resource 👍 Thank you for this !! Looking forward to many more 🙂
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Thank you Sir for this project Great Explanation
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great work 👍
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Great❤❤❤ learning . Its super helpful
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Great Work
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Amazing Video, Thank you for sharing this video.
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Thank you sir for this project
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Great course❤
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Great course 👍
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Thank you sir! your explanation is simply amazing.....
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permission to learn sir. thank you
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Thank you so much. Your video is great for beginers like me
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Excellent work! Congrats
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Great tutorial thanks a lots. Much respect you sir.
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That's an amazing video sir...can we do the same in other IDEs like Vs code so that I can create user interface for the same model.
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Great!!! Thank you so much!!!
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i got error when img_pred = yolo.prediction(img ) unsupport operand type(s) for :-
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You mentioned that the images are available in the "resources". Where is that? I'd like to download all of them so I can follow along with your tutorial.
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it is showing not responding on running cv2.imshow('yolo_prediction,image) what to do