* New model: 51a237cd-9c43-4281-9072-802325e6744d/950
* Added new meta outputs and proper interp for plan_t_arr
* Added meta-based trigger for FCW
* No nans in planner, separate alert for model FCW
* Cleaned up plan_t interp logic
* Added empty cameraError alert to fix unit tests
* Use the normal FCW event
* Updated filter logic
* Updated model replay ref
* Moved disengage predictions into their own cereal struct
* Updated model replay ref for new cereal structs
* Apparently this breaks stuff?
* Bumped cereal commit and model replay ref
old-commit-hash: 29cc3500a5
* New model: 0bf38240-6b55-42b0-bcfb-da08ff5cd0b9/650
* laneless baby
* hardcode model difference for now
* kale toggle
* kale emoji
* sensible description
* make clear it is not just for ui
* emojis dont work yet
* 9671a8fe-539f-4a04-a163-54571df21139/650
* new model
* only read param on rising edge of ignition
* update toggle text
* fix that
* update refs
Co-authored-by: mitchell <mitchellgoffpc@gmail.com>
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
old-commit-hash: 7ee79c9923
* refactor draw model
* rebase master
* correct valid_len
* rename function
* rename variables
* white space
* rebase to master
* e16c13ac-927d-455e-ae0a-81b482a2c787
* start rewriting
* save proress
* compiles!
* oops
* many fixes
* seems to work
* fix desires
* finally cleaned
* wrong std for ll
* dont pulse none
* compiles!
* ready to test
* WIP does not compile
* compiles
* various fixes
* does something!
* full 3d
* not needed
* draw up to 100m
* fix segfault
* wrong sign
* fix flicker
* add road edges
* finish v2 packet
* Added pytorch supercombo
* fix rebase
* no more keras
* Hacky solution to the NCHW/NHWC incompatibility between SNPE and our frame data
* dont break dmonitoringd, final model 229e3ce1-7259-412b-85e6-cc646d70f1d8/430
* fix hack
* Revert "fix hack"
This reverts commit 5550fc01a7881d065a5eddbbb42dac55ef7ec36c.
* Removed axis permutation hack
* Folded padding layers into conv layers
* Removed the last pad layer from the dlc
* Revert "Removed the last pad layer from the dlc"
This reverts commit b85f24b9e1d04abf64e85901a7ff49e00d82020a.
* Revert "Folded padding layers into conv layers"
This reverts commit b8d1773e4e76dea481acebbfad6a6235fbb58463.
* vision model: 5034ac8b-5703-4a49-948b-11c064d10880/780 temporal model: 229e3ce1-7259-412b-85e6-cc646d70f1d8/430 with permute + pool opt
* fix ui drawing with clips
* ./compile_torch.py 5034ac8b-5703-4a49-948b-11c064d10880/780 dfcd2375-81d8-49df-95bf-1d2d6ad86010/450 with variable history length
* std::clamp
* not sure how this compiled before
* 2895ace6-a296-47ac-86e6-17ea800a74e5/550
* db090195-8810-42de-ab38-bb835d775d87/601
* 5m is very little
* onnx runner
* add onnxruntime to pipfile
* run in real time without using the whole CPU
* bump cereal;
* add stds
* set road edge opacity based on stddev
* don't access the model packet in paint
* convert mat.h to a c++ header file (#2499)
* update tests
* safety first
Co-authored-by: deanlee <deanlee3@gmail.com>
Co-authored-by: mitchell <mitchell@comma.ai>
Co-authored-by: Comma Device <device@comma.ai>
Co-authored-by: George Hotz <george@comma.ai>
Co-authored-by: Adeeb Shihadeh <adeebshihadeh@gmail.com>
old-commit-hash: 08846b5c0e
- better polyfitting
- no mpc cost change during lane change
- model trained with better ll gt, sim noise and guaranteed memories
old-commit-hash: 65fcc7c45f
* 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
old-commit-hash: d3edc594ce
Mitchell Goff
HaraldSchafer
George Hotz
George Hotz
Vehicle Researcher