1323 btb

docs/building_a_pipeline.rst

@@ -1,8 +1,20 @@
 Getting Started with Neural Networks
 ==============================================================
 
+.. _downloads page: https://limelightvision.io/pages/downloads
+
 With Limelight's neural network pipelines, once-impossible computer vision challenges are now trivial. Learning-based vision already plays an enormous role in bleeding-edge robots and self-driving vehicles, so we are 
-excited to bring this technology to FIRST students. 
+excited to bring this technology to FIRST students.
+
+Check out 2023 World Champion 1323's use of Limelight's Neural Network pipeline:
+
+
+.. raw:: html
+
+	<iframe width="100%" height="500px" src="https://www.youtube.com/embed/hz3MolcRe2M?start=463" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe>    
+
+
+Download pretrained neural networks from our `downloads page`_.
 
 In FRC, teams have always wanted to track game pieces on the field during the autonomous and teleoperated periods.
 Using Limelight's "Neural Detector" pipeline, teams are able to track pieces just like any other target with zero tuning.
@@ -14,7 +26,7 @@ A Limelight pointed inside a robot could run a classifier trained to determine o
 Neural Detector and Classifier networks require the addition of a Google Coral USB accelerator. The Google Coral Accelerator is an ASIC (application specific integrated circuit)
 that is purpose-built for neural network inference. You can think of the term "inference" as "execution" or "running data through the neural network and producing an output".
 
-If you are interested in building a deeper understanding, we recommend starting with this video from 3blue1brown:
+If you are interested in building a deeper understanding of machine learning, we recommend starting with this video from 3blue1brown:
 https://www.youtube.com/watch?v=aircAruvnKk
 
 Programmers can learn more in a hands-on fashion with the following book:
@@ -28,13 +40,15 @@ Neural Detector Pipeline
 
 To get started, ensure your Google Coral is plugged into the USB-A port on your Limelight.
 
-Change "Pipeline Type" to "Neural Detector" to start running inference on the built-in test model. Game-specific models should arrive mid-season.
+Change "Pipeline Type" to "Neural Detector" to start running inference on the built-in test model. Download pretrained neural networks from our `downloads page`_, and upload it to begin tracking game pieces.
 
 Change the "confidence threshold" slider to adjust the required confidence for a successful detection. All results are posted over JSON, but we recommend using the built-in sorting interface
 to optimize for a single target which will be represented by networktables values "tx," "ty," "ta," and "tclass."
 
 Change the crop window to easily ignore objects outside of the desired detection zone.
 
+
+
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