Python turns 32. Explore 32 practical Python one-liners that show why readability, simplicity, and power still define the ...

Humans are able to learn to recognize new objects even from a few examples. In contrast, training deep-learning-based object detectors requires huge amounts of annotated data. To avoid the need to ...

Abstract: We present Sparse R-CNN, a purely sparse method for object detection in images. Existing works on object detection heavily rely on dense object candidates, such as k anchor boxes pre-defined ...

This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...

First public version. Includes new features like parsing from a string, and converting to strings of format 'c', 'g', and 'G'. This project welcomes contributions and suggestions. Most contributions ...