Basketball Goal Detection and RNN

Now that my machine learning model can detect the different basketball artefacts, we can finally work on some basketball game logic. We can probably detect a goal by adding "region detection boxes" above and below the rim. The "top box" turns red when it detects a ball in its region above the rim. And the "bottom box" shows green when a ball is detected below the rim (where the basketball hoop is). Via the ML model we know with 92% - 94% accuracy where the basketball hoop is located so we can place the red/green boxes automatically on top of the video canvas.