mirror of https://github.com/1okko/openpilot.git
cad17b1255
* 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 |
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README | ||
__init__.py | ||
serialize.cc | ||
thneed.h | ||
thneed_common.cc | ||
thneed_pc.cc | ||
thneed_qcom2.cc |
README
thneed is an SNPE accelerator. I know SNPE is already an accelerator, but sometimes things need to go even faster.. It runs on the local device, and caches a single model run. Then it replays it, but fast. thneed slices through abstraction layers like a fish. You need a thneed.