Sphinx docs generation (#22697)

* add sphinx

* switch theme

* Experiment: sphinx docs generation updated (#22708)

* moved build to root gitignore, added .gitkeep

* Improved makefile doc build process

- Removed auto-generated docs from source control
- Moved apidoc.sh into Makefile
- Removed make.bat (can add back if Windows support desired)
- Added sphinx viewcode and markdown extensions
- Added feature to source /docs in build, so any .rst file in /docs will
  override the respective file during the build process
- Added feature to copy all markdown/rst files from source into /build/
  during build process so they can be easily referenced while writing
  docs (see examples in index.md)
- Wrote basic starter index.md file

TODO: Add new dependencies to Pipfile [dev-packages]

* Revert accidental modification to Pipfile

* fix command substitution

* exclude xx

* improve docs

* dont include all docs in release build

* Add dockerfile

* update title

* include normal readme

* build container in CI

* use buildkit

* add login

Co-authored-by: Chad Bailey <chadbailey904@gmail.com>
old-commit-hash: b816b5b6442c21e63a09108c70986eeedb0372b2

models/README.md

@@ -1,4 +1,4 @@
-# Neural networks in openpilot
+## Neural networks in openpilot
 To view the architecture of the ONNX networks, you can use [netron](https://netron.app/)
 
 ## Supercombo
@@ -43,12 +43,12 @@ To view the architecture of the ONNX networks, you can use [netron](https://netr
       * z position in current frame (meters)
 * **leads**
   * 2 hypotheses for potential lead cars : 102 = 2 * 51
-    * predicted mean and stadard deviation for the following values at 0,2,4,6,8,10s : 48 = 2 * 6 * 4 
+    * predicted mean and stadard deviation for the following values at 0,2,4,6,8,10s : 48 = 2 * 6 * 4
       * x position of lead in current frame (meters)
       * y position of lead in current frame (meters)
       * speed of lead (meters/s)
       * acceleration of lead(meters/(s*s))
-    * probabilities[^1] this hypothesis is the most likely hypothesis at 0s, 2s or 4s from now : 3 
+    * probabilities[^1] this hypothesis is the most likely hypothesis at 0s, 2s or 4s from now : 3
 * **lead probabilities**
   * probability[^1] that there is a lead car at 0s, 2s, 4s from now : 3 = 1 * 3
 * **desire state**