* Started work on model runner refactor
* Fixed some compile errors
* everything compiles
* Fixed bug in SNPEModel
* updateInput -> setInputBuffer
* I understand nothing
* whoops lol
* use std::string instead of char*
* Move common logic into RunModel
* formatting fix
* pc thneed prereqs
* ugh, out of date
* that can stay private
* memcpy here is fine in SNPE variant
* release files
* thneed docs don't work anymore. they didn't look too useful
Co-authored-by: Comma Device <device@comma.ai>
* update cereal
* run but not use
* log distraction type
* regression scaling
* clean up naming
* add calib buf
* add to header
* fake model
* no calib model
* adjust threshs
* 018a305f
* fix bn
* tweak1
* tweak2
* 0ff2/666
* tweak3
* t4
* t5
* fix out of bound
* skip when replaying old segments
* update ref
* fix onnxmodel
* get calib
* update model replay refs
* up ref
* Added wide cam vipc client and bigmodel transform logic
* Added wide_frame to ModelState, should still work normally
* Refactored image input into addImage method, should still work normally
* Updated thneed/compile.cc
* Bigmodel, untested: 44f83118-b375-4d4c-ae12-2017124f0cf4/200
* Have to initialize extra buffer in SNPEModel
* Default paramater value in the wrong place I think
* Move USE_EXTRA to SConscript
* New model: 6c34d59a-acc3-4877-84bd-904c10745ba6/250
* move use extra check to runtime, not on C2
* this is always true
* more C2 checks
* log if frames are out of sync
* more logging on no frame
* store in pointer
* print sof
* add sync logic
* log based on sof difference as well
* keep both models
* less assumptions
* define above thneed
* typo
* simplify
* no need for second client is main is already wide
* more comments update
* no optional reference
* more logging to debug lags
* add to release files
* both defines
* New model: 6831a77f-2574-4bfb-8077-79b0972a2771/950
* Path offset no longer relevant
* Remove duplicate execute
* Moved bigmodel back to big_supercombo.dlc
* add wide vipc stream
* Tici must be tici
* Needs state too
* add wide cam support to model replay
* handle syncing better
* ugh, c2
* print that
* handle ecam lag
* skip first one
* so close
* update refs
Co-authored-by: mitchellgoffpc <mitchellgoffpc@gmail.com>
Co-authored-by: Harald Schafer <harald.the.engineer@gmail.com>
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
Co-authored-by: Comma Device <device@comma.ai>
* completely untested
* it builds now
* bug fixes, save 1ms
* using a kernel to copy works
* more sane API to loadyuv
Co-authored-by: Comma Device <device@comma.ai>
* add traffic convention
* hope this work
* no comment
* latest and gratest
* big gru model
* 1af55c7d-ee15-414a-9e98-a0cb08c3441f/75
* much later in training
* wrong temporal size
* converged
* fix lane changes
* cleanup simulator files
* minor updates
* update readme
* keras runner builds
* hmm, still doesn't work
* keras runner works
* should work with python3 keras mod
* touchups
