![]() Finding and preparing data for model training.To achieve this, we’ll progress through several stages: Our ultimate goal is to set up a mobile app that will detect license plates appearing in a video and then highlight them within the frame. With that bit of background out of the way, let’s move on to our demo project, and we’ll try implementing some of these features as we go. Calculations are performed almost instantaneously, and further, since there is no need to connect to the network, we’re able to preserve user data confidentiality.įor our demo, we’ll be using the Object Detection template Our demo app: a license plate detector It optimizes performance using the CPU, GPU, and the Neural Engine core. Exporting the dataset for import into Create MLĪt WWDC 2017, Apple presented the new A11 Bionic chip featuring the “Neural Engine” core, and it also showed off the Core ML framework-the core (ha) of all of Apple’s ML tools.Ĭore ML makes it possible to run machine learning algorithms directly on Apple devices.Preprocessing, augmenting, and generating the dataset.What does the object detection method require?.These next two sections provide valuable background info, but if you already know about it (or want to come back later), feel free to skip them and dive into data collection. ![]() And in part 2, we train the model and build our demo app.īut, before we get too far ahead of ourselves, it’s important to first better understand the ML capabilities that Apple provides developers, and how to use them. ![]() In this part, we collect raw data, mark it up, and prepare our dataset for model creation. Then, for instance, if we have a video of a car parked on the street, our app will be able to draw a box around the license plate within that video. This app will be able to identify and mark the location of a license plate within a photo. ![]() We’ll do that ourselves, as we create and train our model for use with a demo iOS application. This almost always utilizes ML technologies, and Apple gives developers the tools to create and train models that allow us to use ML in our applications. So, what exactly is object detection? Object detection analyzes photos and identifies meaningful objects within those pictures.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |