In this video, we look into the Ultralytics Yolo framework. It enables you to run a pre-trained Yolo algorithm and retrain it for your particular use case. Using this model, you could easily create a new model to detect your favorite things in an image and create location boxes over the objects.
We look at connecting up a native library, native source to our Android application.
We install plausible and test how the analytics with plausible works. We read the code and try to understand what kind of features are available and look at how to integrate them into your site.
We compile and look at the code for the Tensorflow lite demo, looking at the key concepts.
We will read an old USENet post about a real programmer.
We go through how to run java code in your browser using different projects.
We use singularity to create containers both in an interactive mode and also using definition files to build them automaticly.