sadmen/dragonpilot - dragonpilot - Gitea: Git with a cup of tea

Author	SHA1	Message	Date
Cameron Clough	995250ae49	use pyupgrade to update to new typing syntax (#31580 ) * add pyupgrade hook * run pyupgrade (pre-commit run -a) * ruff --fix * Revert "add pyupgrade hook" This reverts commit 56ec18bb6b8602a0b612f3803d96cdad14b52066. * revert changes to third_party/ * manual type fixes * explicit Optional wrapping capnp objects	1 year ago
Adeeb Shihadeh	35f819c823	swaglog.py goes in common/ (#30631 ) * swaglog.py goes in common/ * all of these go in release * we'll even include the pyx	2 years ago
YassineYousfi	cad17b1255	modeld: parsing and publishing in python (#30273 ) * WIP try modeld all in python * fix plan * add lane lines stds * fix lane lines prob * add lead prob * add meta * simplify plan parsing * add hard brake pred * add confidence * fix desire state and desire pred * check this file for now * rm prints * rm debug * add todos * add plan_t_idxs * same as cpp * removed cython * add wfd width - rm cpp code * add new files rm old files * get metadata at compile time * forgot this file * now uses more CPU * not used * update readme * lint * copy this too * simplify disengage probs * update model replay ref commit * update again * confidence: remove if statemens * use publish_state.enqueue * Revert "use publish_state.enqueue" This reverts commit d8807c8348338a1f773a8de00fd796abb8181404. * confidence: better shape defs * use ModelConstants class * fix confidence * Parser * slightly more power too * no inline ifs :( * confidence: just use if statements	2 years ago
Mitchell Goff	2d69f3d63e	Update model input names to match onnx inputs (#29855 ) Updated model input names to match onnx inputs	2 years ago
Mitchell Goff	0c0af682a1	Rewrite navmodeld in python (#29579 ) * Added navmodeld.py * Deleted navmodeld.cc * Write SConscript config flags to config.py * Remove deleted files from release/files_common * Some more bug fixes * Added config.py to gitignore * Get rid of config.py * Use set_realtime_priority * A tiny bit more cleanup * set realtime priority 1 * Use ModelRunner helper class from runners/__init__.py * Formatting fixes * mama mia that's a SPICY memory leak	2 years ago