* Add struct and services
* Proof of concept
* Use vego
* Process replay support
* Fix issues
* Max not min
* Remove print
* Make lag positive
* Points and updates
* Sliding cross corr
* Stuff
* Remove redundant param
* Move to lagd
* Update alert
* Something that works
* Report isEstimated
* Corr field
* Use skimage masked corr
* Fixes
* Move to lat_accel_loc
* Use the delay it in the model
* Mark as executable
* Add 0.2 to initial
* add install line
* Back to 5m window
* Move the import up
* corr window 120
* Show is estimated
* Sort messages
* New impl
* Fix
* Params
* Set initial_lag elsewhere
* Add param
* Rename Param
* Fix type isues
* More blocks
* Masked fft NCC implementation
* Remove package installation
* Use 20hz data and interp the correlation peak
* Move ncc code to separate function
* steering_saturated support
* Constants
* Add recovery buffer
* Fix static
* min_valid_block_count nad liveDelay
* lateralDelayEstimate
* Fix comm issues. Do estimations at 4hz
* Fix
* Display the estimate
* Increase the block size
* Cache every minute
* DEBUG flag
* Add progress to the alert
* Fix crash
* points only in debug
* Fix BlockAverage restoration
* Comment
* Move estimators into estimator directory
* Remove lagd
* Feed only relevant messages
* Rewrite as a set literal
* np.diag with P_initial
* Fix static
* Struct renames
* Update ref commit
* Make it nicer
* Some renames
* Refactor ParamsLearner
* Make it VehicleParamsLearner
* Fix
* Use capnp serialization instead of json
* Fix speed
* Remove redundant comments
* Monitor observed_roll
* Just use init_state
* Comment
* Improve reset
* Set globals api
* Typing for return value
* Redo reset messaging
* Remove usages of math
* Fix process_replay custom_params
* Type ignores for rednose fields
* Remove import
* Reset previous values too
* Update ref_commit
* Revert it
* Bring it back
* Remove more
* Add migration for cached params
* reset curvature while disabled
* comment
* duplicate line
* fix possible iso violation because it was unlimited while disengaged
* rename so you can't accidentally use
* update refs
* Update max_lat_accel.py
The error you're encountering is due to the fact that the code is trying to calculate the 90th percentile of lateral acceleration values that are less than 0, but there are no such values in the dataset. This results in an empty list, which causes the np.percentile function to fail with an IndexError
* fix
* simpler
---------
Co-authored-by: Shane Smiskol <shane@smiskol.com>
* temp unavailable
* fix
* replay multiple
* clean up
* bump
* rename
* reason is in liveTracks
* more rename
* bump
* fix
* bump
* fix
* need to totally ignore it, or it will throw commIssues for radarErrors or not alive
* this is just simpler -- good thing kept struct
* rm
* bool fields
* liveTracks.valid is already set using errors
* fix
* clean up
* same but diff
* fix
* fix
* fix test
* clean up
* rm radarErrors
* whoops
* no struct
* Revert "no struct"
This reverts commit ed8ec02493673f850800344c73c969508fc38991.
* bump
* update
* always check radarState freq since it polls on modelV2 and sends at a fixed rate
* fine
* can just check this since valid is all_checks on liveTracks, and liveTracks.valid is len(errors) as well
full circle
* Use uncalibrated values
* Use calib_valid
* Move valids together
* Add calibration valid field
* Add migration block for new field
* No paramsdTemporaryError while calibrating
* comment
* Fix static issues
* Update ref commit
* Comment
* Remove redundant field
* check for calstatus in selfdrived
* Remove comment
* Update ref commit
* stash
* fastest
* faster but not fastest
* clean up
* here too
* fix that
* revert
* already sorted
* rev
* clean up
* allow empty
* lower tm time for cache miss
Iamz