This tries to go through the Taxi Gym based on the problem in the Udacity RL course. This here is copied from a notebook that I ran locally.

I already showed how to visualize bounding boxes based on YOLO input: https://czarrar.github.io/visualize-boxes/. But what if I wanted to do something similar but making greater use of code within Yolov5. Well here it is.

I was facing an issue today in my speaker identification pipeline. The pipeline was giving different results when the input data was duplicated many times over, which definately seems strange.

For certain computer vision tasks, I have an image and bounding boxes associated with that image in a text file. How would I visualize these boxes?

I read through the second lecture of Kripke’s Naming and Necessity. I’m still not sure I totally get it but some ideas were interesting.