An Introduction to Object Detection on MediaPipe and the Inner Workings of Project GameFace
If you’ve ever wanted to get started with object detection and facial recognition on your Raspberry Pi, then MediaPipe and Project GameFace are two powerful tools that you should definitely check out. In this article, we’ll give you a brief overview of what object detection is, how MediaPipe can help you implement it, and how Project GameFace takes object detection to the next level by incorporating it into an interactive gaming experience.
What is Object Detection?
Object detection is a computer vision technique that allows computers to identify and locate objects within an image or video. This can be used for a wide range of applications, from security surveillance to augmented reality gaming. With advances in deep learning algorithms and hardware technology, object detection has become more accurate and efficient than ever before.
Using MediaPipe for Object Detection
MediaPipe is an open-source framework developed by Google that provides a set of cross-platform tools for building multimodal applications. One of the key features of MediaPipe is its object detection pipeline, which allows developers to easily implement object detection models in their projects. With MediaPipe, you can leverage pre-trained models and custom datasets to create accurate and efficient object detection solutions.
Project GameFace: An Interactive Object Detection Experience
Project GameFace is a unique project that combines object detection with interactive gaming to create a fun and engaging experience for players. Using MediaPipe’s object detection pipeline, Project GameFace is able to detect the player’s facial expressions and movements in real-time, allowing them to interact with virtual objects and characters within the game.
By incorporating object detection into the gaming experience, Project GameFace creates a whole new level of immersion and interactivity that traditional gaming consoles can’t match. Players are able to control the game using only their facial expressions and gestures, opening up a whole new world of possibilities for game developers and enthusiasts alike.
Get Started with Object Detection Today
Whether you’re a hobbyist looking to explore the world of computer vision or a developer interested in creating innovative applications, object detection on MediaPipe and Project GameFace offer a unique opportunity to push the boundaries of what’s possible. With powerful tools and resources at your disposal, there’s never been a better time to get started with object detection and take your projects to the next level.
So what are you waiting for? Dive into the world of object detection today and unleash your creativity with MediaPipe and Project GameFace!
Last time I checked mediapipe model maker, it simply failed to install on colab! please tell me that you changed something to make it work, I really like tflite for edge devices, but wasted a lot of time until finally I could train a model by creating conda inside colab which you have to activate it in every cell and run your code as independent .py in the same shell Google indeed introduced object detection api, tflite modelmaker and mediapipe model maker as a high level api for training custom models for object detection, but unfortunately none of them were working until a week ago! as they supposed to work in jupyter notebook. Am I missing something, I would very much appreciate if I get a reply.
GOOGLE KEEP DELETING THIS, READ TO SEE HOW THEY ACTUALLY TREAT APP DEVELOPERS!
It’s all great until Google de-activates your developer account for inactivity after you spent weeks updating the code base of your apps to the new version of Flutter using null safety, upload them and have no more warnings on the developer play console. Only for a few weeks later to have your developer account de-activated because you missed an email even though the dev console had no such warnings.
Then you try and contact google play dev support which are basically impossible to get a hold of bar email and they don’t want to know and eventually outright ignore you. Even though they acknowledge it is possible to re-activate your account as it is still there, they will not. Instead they expect you to pay for a new account, with a different email address (Because your old account is still there) and lose all of your ratings, information etc. and copy and paste the same rubbish over and over again. They consider your apps “inactive” if you don’t have thousands of users even if your apps may be niche but appreciated by a smaller user base.
The de-activation of developer accounts should be for exactly that, inactive accounts. Not the accounts of developers who spend a lot of their spare time trying to keep their apps up to date and get caught out by some ridiculous verification scheme that seems to be there only so Google can re-charge you for the privilege of creating apps on their platform. If you can see a developer was actually active and was caught out by what is frankly quite a poor user experience on the dev console because the correct information wasn’t provided to the user then they should be allowed their account back. If my apps made the play store £1000’s then I’m sure it would be a different experience but unless that is the case it turns out Google has no respect for developers and treats them like utter garbage and does not care about all of the hard work you’ve put into making/publishing and keeping your apps up to date. Do better Google!